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ORCIDCoRR, August 2022
- Muhammad Asad, Reuben Dorent, Tom Vercauteren:
FastGeodis: Fast Generalised Geodesic Distance Transform. - Zijue Chen, Keenan Granland, Rhys Newbury, Chao Chen:
HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees. - Viktor Zobernig, Richard A. Saldanha, Jinke He, Erica van der Sar, Jasper van Doorn, Jia-Chen Hua, Lachlan Robert Mason, Aleksander Czechowski, Drago Indjic, Tomasz Kosmala, Alessandro Zocca, Sandjai Bhulai, Jorge Montalvo Arvizu, Claude Klöckl, John Moriarty:
RangL: A Reinforcement Learning Competition Platform. - Colin Conwell, Tomer D. Ullman:
Testing Relational Understanding in Text-Guided Image Generation. - Mika Göös, Siddhartha Jain:
Communication Complexity of Collision. - (Withdrawn) Paddy Leaf diseases identification on Infrared Images based on Convolutional Neural Networks.
- Alejo J. Nevado-Holgado, Colin A. Espie, Maria Liakata, Alasdair Henry, Jenny Gu, Niall Taylor, Kate Saunders, Tom Walker, Chris Miller:
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio. - Reza Bayani, Saeed D. Manshadi:
Coordinating Flexible Ramping Products with Dynamics of the Natural Gas Network. - Johan Linåker, Maria Krantz, Martin Höst:
On infrastructure for facilitation of inner source in small development teams. - Juan Caballero, Gibran Gómez, Srdjan Matic, Gustavo Sánchez, Silvia Sebastián, Arturo Villacañas:
GoodFATR: A Platform for Automated Threat Report Collection and IOC Extraction. - Apurv Choudhari, Ameya Ekbote, Prerona Chaudhuri:
Capacitated Vehicle Routing Problem Using Conventional and Approximation Method. - Johan Linåker, Björn Regnell:
What to share, when, and where: balancing the objectives and complexities of open source software contributions. - Tobias Knopp
, Marija Boberg, Mirco Grosser:
NFFT.jl: Generic and Fast Julia Implementation of the Nonequidistant Fast Fourier Transform. - Naima Otberdout, Claudio Ferrari, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo:
Generating Complex 4D Expression Transitions by Learning Face Landmark Trajectories. - Yuan Gong, Alexander H. Liu, Andrew Rouditchenko, James R. Glass:
UAVM: A Unified Model for Audio-Visual Learning. - Johan Linåker, Björn Regnell, Daniela E. Damian:
A method for analyzing stakeholders' influence on an open source software ecosystem's requirements engineering process. - Dmitry Yu. Zubarev, Petar Ristoski:
Topology-Driven Generative Completion of Lacunae in Molecular Data. - Alexandra Antonova, Evelina Bakhturina, Boris Ginsburg:
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization. - Behnam Zeinali, Hadi Zanddizari, J. Morris Chang:
IMUNet: Efficient Regression Architecture for IMU Navigation and Positioning. - Tao Li, Haozhe Lei, Quanyan Zhu:
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis. - Javier Renedo, Luis Rouco, Aurelio García-Cerrada, Lukas Sigrist:
Coordinated control in multi-terminal VSC-HVDC systems to improve transient stability: Impact on electromechanical-oscillation damping. - Simon Bilik, Ondrej Bostik, Lukas Kratochvila, Adam Ligocki, Matej Poncak, Tomás Zemcík, Milos Richter, Ilona Janakova, Petr Honec, Karel Horák:
Machine Learning and Computer Vision Techniques in Bee Monitoring Applications. - Sahar Allahkaram, Francisco A. Monteiro, Ioannis Chatzigeorgiou:
URLLC with Coded Massive MIMO via Random Linear Codes and GRAND. - Renato J. Cintra, Stefan Duffner, Christophe Garcia, André Leite:
Low-complexity Approximate Convolutional Neural Networks. - Jonathan Wilder Lavington, Sharan Vaswani, Mark Schmidt:
Improved Policy Optimization for Online Imitation Learning. - Qihao Liu, Yi Zhang, Song Bai, Alan L. Yuille:
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation. - Yulong Cao, Danfei Xu, Xinshuo Weng, Zhuoqing Mao, Anima Anandkumar, Chaowei Xiao, Marco Pavone:
Robust Trajectory Prediction against Adversarial Attacks. - Majd Hawasly, Jonathan Sadeghi, Morris Antonello, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy:
Perspectives on the System-level Design of a Safe Autonomous Driving Stack. - Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown:
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images. - Ayush Kumar, Ashish Kumar, Aakanksha Prasad, Michael Burch, Shenghui Cheng, Klaus Mueller:
An Open Source Interactive Visual Analytics Tool for Comparative Programming Comprehension. - Fanyou Wu, Yang Liu, Rado Gazo, Bedrich Benes, Xiaobo Qu:
Some Practice for Improving the Search Results of E-commerce. - Sayef Azad Sakin, Alex Bigelow, R. Tohid, Connor Scully-Allison, Carlos Scheidegger, Steven R. Brandt, Christopher Taylor, Kevin A. Huck, Hartmut Kaiser, Katherine E. Isaacs:
Traveler: Navigating Task Parallel Traces for Performance Analysis. - Haram Park, Carlos Nkuba Kayembe, Seunghoon Woo, Heejo Lee:
L2Fuzz: Discovering Bluetooth L2CAP Vulnerabilities Using Stateful Fuzz Testing. - Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher D. Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang:
Neural Correspondence Field for Object Pose Estimation. - Donghao Qiao, Farhana H. Zulkernine:
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds. - Yitian Wang, Jun Lin, Liu Zhang, Tianhao Wang, Hao Xu, Guanyu Zhang, Yang Liu:
Research on Stable Obstacle Avoidance Control Strategy for Tracked Intelligent Transportation Vehicles in Non-structural Environment Based on Deep Learning. - Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang:
DAS: Densely-Anchored Sampling for Deep Metric Learning. - Mitali Bafna, Jun-Ting Hsieh, Pravesh K. Kothari, Jeff Xu:
Polynomial-Time Power-Sum Decomposition of Polynomials. - Wei Gao, Qiuping Jiang, Ronggang Wang, Siwei Ma, Ge Li, Sam Kwong:
Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding. - Zhongtian Hu, Yangqi Chen, Yushuang Liu, Lifang Wang:
Dynamically Retrieving Knowledge via Query Generation for informative dialogue response. - Wei Li, Zhiwen Li, Yiqi Liu, Yongping Pan:
Learning robot inverse dynamics using sparse online Gaussian process with forgetting mechanism. - Feihong Yang, Yuan Shen:
Distributed Scheduling at Non-Signalized Intersections with Mixed Cooperative and Non-Cooperative Vehicles. - Paul Griffioen, Raffaele Romagnoli, Bruce H. Krogh, Bruno Sinopoli:
Reducing Attack Opportunities Through Decentralized Event-Triggered Control. - Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell:
Few-Shot Class-Incremental Learning from an Open-Set Perspective. - Xinpeng Ding, Jingweng Yang, Xiaowei Hu, Xiaomeng Li:
Learning Shadow Correspondence for Video Shadow Detection. - Vahid Shirbisheh:
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes. - Pawel Wawrzynski, Wojciech Masarczyk, Mateusz Ostaszewski:
Reinforcement learning with experience replay and adaptation of action dispersion. - Elvira Mayordomo:
A point to set principle for finite-state dimension. - Shao-Yuan Lo, Wei Wang, Jim Thomas, Jingjing Zheng, Vishal M. Patel, Cheng-Hao Kuo:
Learning Feature Decomposition for Domain Adaptive Monocular Depth Estimation. - (Withdrawn) Distilled Low Rank Neural Radiance Field with Quantization for Light Field Compression.
- Przemyslaw Korzeniowski, Szymon Plotka, Robert Brawura-Biskupski-Samaha, Arkadiusz Sitek:
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery. - Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, Kang Zhang, In So Kweon:
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond. - H. Harry Asada:
Global, Unified Representation of Heterogenous Robot Dynamics Using Composition Operators. - Huije Lee, Young Ju Na, Hoyun Song, Jisu Shin, Jong C. Park:
ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls. - Athira Subhash, Abla Kammoun, Ahmed Elzanaty, Sheetal Kalyani, Yazan H. Al-Badarneh, Mohamed-Slim Alouini:
Max-Min Data Rate Optimization for RIS-aided Uplink Communications with Green Constraints. - Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang:
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network. - Hengwei Xu, Yong Liao, Haiyong Xie, Pengyuan Zhou:
Celeritas: Fast Optimizer for Large Dataflow Graphs. - João Barbosa, Mário Florido, Vítor Santos Costa:
Typed SLD-Resolution: Dynamic Typing for Logic Programming. - Yanhao Wang, Francesco Fabbri, Michael Mathioudakis:
Streaming Algorithms for Diversity Maximization with Fairness Constraints. - Fuwei Tian, Christoph Treude:
Adding Context to Source Code Representations for Deep Learning. - Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas:
Tackling Neural Architecture Search With Quality Diversity Optimization. - Xiao Yi, Yuzhou Fang, Daoyuan Wu, Lingxiao Jiang:
BlockScope: Detecting and Investigating Propagated Vulnerabilities in Forked Blockchain Projects. - Y. Gong, X. Ma:
Multiple Categories Of Visual Smoke Detection Database. - Fanrong Shi, Xianguo Tuo, Simon X. Yang, Jing Lu, Huailiang Li:
Rapid-Flooding Time Synchronization for Large-Scale Wireless Sensor Networks. - Qiang Meng, Feng Zhou:
Towards Privacy-Preserving, Real-Time and Lossless Feature Matching. - Fanrong Shi, Xianguo Tuo, Lili Ran, Zhenwen Ren, Simon X. Yang:
Fast Convergence Time Synchronization in Wireless Sensor Networks Based on Average Consensus. - Tianyu Lu, Liquan Chen, Junqing Zhang, Chen Chen, Aiqun Hu:
Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation. - Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, Eric P. Xing:
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation. - Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager, Bernd Bischl, Heike Trautmann, Pascal Kerschke:
HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis. - Amirhosein Vedadi, Kasra Sinaei, Pezhman Abdolahnezhad, Shahriar Sheikh Aboumasoudi, Aghil Yousefi-Koma:
Bipedal Locomotion Optimization by Exploitation of the Full Dynamics in DCM Trajectory Planning. - Fanrong Shi, Huailiang Li, Simon X. Yang, Xianguo Tuo, Maosong Lin:
Novel Maximum Likelihood Estimation of Clock Skew in One-Way Broadcast Time Synchronization. - Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui, Shijian Lu, Ling Shao:
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds. - Alexander Liu, Samuel Yang:
Masked Autoencoders As The Unified Learners For Pre-Trained Sentence Representation. - Rômulo Manciola Meloca, Ingrid Nunes:
A Comparative Study of Application-level Caching Recommendations at the Method Level. - Yusheng Wang, Yonghoon Ji, Hiroshi Tsuchiya, Hajime Asama, Atsushi Yamashita:
Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based Multi-view Stereo. - Roberto Dillon, Arushi:
'PeriHack': Designing a Serious Game for Cybersecurity Awareness. - Ruida Zhang, Yan Di, Zhiqiang Lou, Fabian Manhardt, Nassir Navab, Federico Tombari, Xiangyang Ji:
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation. - Haolin Pan, Yong Guo, Qinyi Deng, Haomin Yang, Yiqun Chen, Jian Chen:
Improving Fine-tuning of Self-supervised Models with Contrastive Initialization. - Nikolaos N. Vlassis, WaiChing Sun:
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity. - Hamed Mazhab-Jafari, Xilin Liu, Roman Genov:
On-CMOS High-Throughput Multi-Modal Amperometric DNA Analysis with Distributed Thermal Regulation. - Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou:
Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data. - Kelly W. Zhang, Omer Gottesman, Finale Doshi-Velez:
A Bayesian Approach to Learning Bandit Structure in Markov Decision Processes. - Kamaledin Ghiasi-Shirazi:
On translating conditional statements into mathematical logic. - Pascal Marc André, Quentin Stiévenart, Mohammad Ghafari:
Developers Struggle with Authentication in Blazor WebAssembly. - Xiaoyi Cai, Brent Schlotfeldt, Kasra Khosoussi, Nikolay Atanasov, George J. Pappas, Jonathan P. How:
Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. - Mohammad Ghafari, Konstantin Rubinov, Mohammad Mehdi Pourhashem Kallehbasti:
Mining unit test cases to synthesize API usage examples. - Zhongxia Yan, Abdul Rahman Kreidieh, Eugene Vinitsky, Alexandre M. Bayen, Cathy Wu:
Unified Automatic Control of Vehicular Systems with Reinforcement Learning. - Francisco Zanartu, Christoph Treude, Bruno Cartaxo, Hudson Silva Borges, Pedro Moura, Markus Wagner, Gustavo Pinto:
Automatically Categorising GitHub Repositories by Application Domain. - Khaled Ammar, Siddhartha Sahu, Semih Salihoglu, M. Tamer Özsu:
Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs. - Junqiang Huang, Xiangwen Kong, Xiangyu Zhang:
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning. - Zhiqin Chen, Thomas A. Funkhouser, Peter Hedman, Andrea Tagliasacchi:
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures. - Stylianos Piperakis, Michael Maravgakis, Dimitrios Kanoulas, Panos E. Trahanias:
Robust Contact State Estimation in Humanoid Walking Gaits. - Moritz Platt, Stephen A. Ojeka, Andreea-Elena Dragnoiu, Oserere Ejemen Ibelegbu, Francesco Pierangeli, Johannes Sedlmeir:
How to Make Users Adopt More Sustainable Cryptocurrencies: Evidence from Nigeria. - Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi:
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding. - Aydin Abadi, Steven J. Murdoch, Thomas Zacharias:
Recurring Contingent Service Payment. - Sanjana Singh, Divyanjali Sharma, Ishita Jaju, Subodh Sharma:
Fence Synthesis under the C11 Memory Model. - Florent Chiaroni, Malik Boudiaf, Amar Mitiche, Ismail Ben Ayed:
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box Predictions. - Jun Li, Thangarajah Akilan:
Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors. - Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan:
ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis. - Seyedeh Bahereh Hassanpour, Ahmad Khonsari, Masoumeh Moradian, Seyed Pooya Shariatpanahi:
Privacy-Preserving Edge Caching: A Probabilistic Approach. - Fatma Altunbulak Aksu, Roghayeh Hafezieh, Ipek Tuvay:
Involutory permutation automorphisms of binary linear codes. - Yichen Han, Christopher Bo Han, Chen Chen, Peng Wei Lee, Michael Hogarth, Alison A. Moore, Nadir Weibel, Emilia Farcas:
Towards Visualization of Time-Series Ecological Momentary Assessment (EMA) Data on Standalone Voice-First Virtual Assistants. - Soheil Nazar Shahsavani, Arash Fayyazi, Mahdi Nazemi, Massoud Pedram:
Efficient Compilation and Mapping of Fixed Function Combinational Logic onto Digital Signal Processors Targeting Neural Network Inference and Utilizing High-level Synthesis. - Sabah Al-Fedaghi:
Conceptual Modeling of Objects. - Johan Linåker, Per Runeson:
How to Enable Collaboration in Open Government Data Ecosystems: A Public Platform Provider's Perspective. - Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu:
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation. - Johan Linåker, Hussan Munir, Krzysztof Wnuk, Carl-Eric Mols:
Motivating the Contributions: An Open Innovation Perspective on What to Share as Open Source Software. - Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. - Kevin Y. Chen:
An Improved A* Search Algorithm for Road Networks Using New Heuristic Estimation. - Sadegh Dalvandi, Brijesh Dongol:
Implementing and Verifying Release-Acquire Transactional Memory (Extended Version). - Guilherme Paulino-Passos, Francesca Toni:
On Interactive Explanations as Non-Monotonic Reasoning. - Nick McKenna, Mark Steedman:
Smoothing Entailment Graphs with Language Models. - Rachel M. Holladay, Tomás Lozano-Pérez, Alberto Rodriguez:
Robust Planning for Multi-stage Forceful Manipulation. - Sharmita Dey, David D. Fan, Robin Schmid, Anushri Dixit, Kyohei Otsu, Thomas Touma, Arndt F. Schilling, Ali-akbar Agha-mohammadi:
PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains. - Hopein Christofen Tang, Djoko Suprijanto:
A general family of Plotkin-optimal two-weight codes over Z4. - Alessio Colucci, Andreas Steininger, Muhammad Shafique:
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. - Sayontan Ghosh, Mahnaz Koupaee, Isabella Chen, Francis Ferraro, Nathanael Chambers, Niranjan Balasubramanian:
PASTA: A Dataset for Modeling Participant States in Narratives. - Kelli Francis-Staite:
Convex duality for stochastic shortest path problems in known and unknown environments. - Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique:
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. - Sk Golam Saroar, Waseefa Ahmed, Maleknaz Nayebi:
GitHub Marketplace for Practitioners and Researchers to Date: A Systematic Analysis of the Knowledge Mobilization Gap in Open Source Software Automation. - André Guerino Castoldi, Lucia Moura, Daniel Panario, Brett Stevens:
Ordered Orthogonal Array Construction Using LFSR Sequences. - Caleb Princewill Nwokocha:
Functional Rule Extraction Method for Artificial Neural Networks. - Tian Tan, Yue Li:
Tai-e: A Static Analysis Framework for Java by Harnessing the Best Designs of Classics. - Sein Park, Yeongsang Jang, Eunhyeok Park:
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization. - Jiang Li, Xiaoping Wang, Guoqing Lv, Zhigang Zeng:
GraphMFT: A Graph Network based Multimodal Fusion Technique for Emotion Recognition in Conversation. - Youqian Zhang, Kasper Rasmussen:
Electromagnetic Signal Injection Attacks on Differential Signaling. - Leena Mathur, Ralph Adolphs, Maja J. Mataric:
Towards Intercultural Affect Recognition: Audio-Visual Affect Recognition in the Wild Across Six Cultures. - Kang Zhou, Qiao Qiao, Yuepei Li, Qi Li:
Improving Distantly Supervised Relation Extraction by Natural Language Inference. - Tiandong Wang, Sidney Resnick:
Random Networks with Heterogeneous Reciprocity. - Peng Xia, Yuechi Zhou, Ziyan Zhang, Zecheng Tang, Juntao Li:
Chinese grammatical error correction based on knowledge distillation. - Lei Huang, Jiawang Nie, Ya-Xiang Yuan:
Generalized truncated moment problems with unbounded sets. - Libei Sun, Xiucai Huang, Yongduan Song:
Decentralized Intermittent Feedback Adaptive Control of Non-triangular Nonlinear Time-varying Systems. - Xincao Xu, Kai Liu, Qisen Zhang, Hao Jiang, Ke Xiao, Jiangtao Luo:
Age of View: A New Metric for Evaluating Heterogeneous Information Fusion in Vehicular Cyber-Physical Systems. - Zhipeng Zhang, Zhimin Wei, Zhongzhen Huang, Rui Niu, Peng Wang:
One for All: One-stage Referring Expression Comprehension with Dynamic Reasoning. - Indra Agustian, Bagus Imam Prayoga, Hendy Santosa, Novalio Daratha, Ruvita Faurina:
NFT Hydroponic Control Using Mamdani Fuzzy Inference System. - Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. - Hongyang Du, Jiacheng Wang, Dusit Niyato, Jiawen Kang, Zehui Xiong, Xuemin Shen, Dong In Kim:
Exploring Attention-Aware Network Resource Allocation for Customized Metaverse Services. - Thaís Bardini Idalino, Lucia Moura:
Nested Cover-Free Families for Unbounded Fault-Tolerant Aggregate Signatures. - Qinghui Zhang, Weidong Li, Qian Su, Xuejie Zhang:
A Local-Ratio-Based Power Control Approach for Capacitated Access Points in Mobile Edge Computing. - Thaís Bardini Idalino, Lucia Moura, Carlisle Adams:
Modification tolerant signature schemes: location and correction. - Muhammad Hassan, Haifei Guan, Melliou Aikaterini, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, You Zhou, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu:
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology. - Yu Li, Chun-Yen Chen, Dian Yu, Sam Davidson, Ryan Hou, Xun Yuan, Yinghua Tan, Derek Pham, Zhou Yu:
Using Chatbots to Teach Languages. - Yiran Wang, Zhiyu Pan, Xingyi Li, Zhiguo Cao, Ke Xian, Jianming Zhang:
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling. - Chenwei Zhao, Miao Ye, Xingsi Xue, Jianhui Lv, Qiuxiang Jiang, Yong Wang:
DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN. - Tarun Kumar, Himanshu Sharad Bhatt:
Evaluating Table Structure Recognition: A New Perspective. - Jan Ondras, Di Ni, Xi Deng, Zeqi Gu, Henry Zheng:
Robotic Dough Shaping. - Gabriel Chen, Rick Wanner:
Secure Email Transmission Protocols - A New Architecture Design. - Yixian Zhu, Ketan Savla:
An Experimental Study on Learning Correlated Equilibrium in Routing Games. - Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar:
PVBM: A Python Vasculature Biomarker Toolbox Based On Retinal Blood Vessel Segmentation. - Haochen Liu, Zhiyu Huang, Chen Lv:
STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer. - Changqing Xu, Yijian Pei, Zili Wu, Yi Liu, Yintang Yang:
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator. - Damai Dai, Wenbin Jiang, Qingxiu Dong, Yajuan Lyu, Qiaoqiao She, Zhifang Sui:
Neural Knowledge Bank for Pretrained Transformers. - Pratima Upretee, Bishesh Khanal:
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation. - Yanbo Cao, Derui Gao, Jingyu Xu:
SG-Based Analysis of LEO Satellite-Relayed Communication Systems. - Bin Liu, Jiwen Wang, Ruirui Wang, Yaxu Wang, Guangzu Zhao:
Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization. - Semen A. Budennyy, Vladimir D. Lazarev, Nikita Zakharenko, Alexey N. Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan V. Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov:
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. - Ioannis Chiotis, Aris L. Moustakas:
On the Uplink Performance of Finite-Capacity Radio Stripes. - Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong Liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang:
DA2 Dataset: Toward Dexterity-Aware Dual-Arm Grasping. - Runqing Xu, Jie An, Bohua Zhan:
Active Learning of One-Clock Timed Automata using Constraint Solving. - George Davie:
Left computably enumerable reals and initial segment complexity. - Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin:
Robust Real-World Image Super-Resolution against Adversarial Attacks. - Injy Hamed, Alia El Bolock, Cornelia Herbert, Slim Abdennadher, Ngoc Thang Vu:
The Who in Code-Switching: A Case Study for Predicting Egyptian Arabic-English Code-Switching Levels based on Character Profiles. - Xudong Xie, Ling Fu, Zhifei Zhang, Zhaowen Wang, Xiang Bai:
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition. - Yinpeng Chen, Zhiyu Pan, Min Shi, Hao Lu, Zhiguo Cao, Weicai Zhong:
Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels. - Christoph Treude:
Taming Multi-Output Recommenders for Software Engineering. - (Withdrawn) BYOLMed3D: Self-Supervised Representation Learning of Medical Videos using Gradient Accumulation Assisted 3D BYOL Framework.
- Yijun Yang, Ruiyuan Gao, Qiang Xu:
Out-of-Distribution Detection with Semantic Mismatch under Masking. - Charles-Edouard Bréhier:
Uniform strong and weak error estimates for numerical schemes applied to multiscale SDEs in a Smoluchowski-Kramers diffusion approximation regime. - Charles-Edouard Bréhier:
Uniform error bounds for numerical schemes applied to multiscale SDEs in a Wong-Zakai diffusion approximation regime. - Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian:
SdAE: Self-distillated Masked Autoencoder. - Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang:
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement. - Yirun Wang, Gongpu Wang, Ruisi He, Bo Ai, Chintha Tellambura:
Doppler Shift and Channel Estimation for Intelligent Transparent Surface Assisted Communication Systems on High-Speed Railways. - Linde S. Hesse, Ana I. L. Namburete:
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples. - Luciano Margara:
A heuristic technique for decomposing multisets of non-negative integers according to the Minkowski sum. - Sérgio A. Balanya, Juan Maroñas, Daniel Ramos:
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks. - Kizito Salako, Xingyu Zhao:
The Unnecessity of Assuming Statistically Independent Tests in Bayesian Software Reliability Assessments. - Fatemeh Azadi, Heshaam Faili, Mohammad Javad Dousti:
Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages. - Brian Xiang, Abdelrahman Abdelmonsef:
Vector-Based Data Improves Left-Right Eye-Tracking Classifier Performance After a Covariate Distributional Shift. - Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. - Xiaoyuan Guo, Jiali Duan, C.-C. Jay Kuo, Judy Wawira Gichoya, Imon Banerjee:
Augmenting Vision Language Pretraining by Learning Codebook with Visual Semantics. - Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayáhuitl:
Robot Policy Learning from Demonstration Using Advantage Weighting and Early Termination. - Immaculate Wanza, Irad Kamuti, David Gichohi, Kinyua Gikunda:
The impact of Twitter on political influence on the choice of a running mate: Social Network Analysis and Semantic Analysis - A Review. - Thomas Lidbetter, Yifan Xie:
The Search and Rescue Game on a Cycle. - Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin:
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers. - Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu:
Adaptive Edge Offloading for Image Classification Under Rate Limit. - Ying Li, Patrick Lambrix:
Repairing EL Ontologies Using Weakening and Completing. - Aravind Battaje, Oliver Brock:
One Object at a Time: Accurate and Robust Structure From Motion for Robots. - Johan Linåker, Per Runeson, Anneke Zuiderwijk, Amanda Brock:
Editorial: Special Issue on Collaborative Aspects of Open Data in Software EngineeringJohan. - Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan:
Scrutinizing Shipment Records To Thwart Illegal Timber Trade. - Xuan Lin, Gabriel I. Fernandez, Yeting Liu, Taoyuanmin Zhu, Yuki Shirai, Dennis W. Hong:
Multi-Modal Multi-Agent Optimization for LIMMS, A Modular Robotics Approach to Delivery Automation. - Michael Xieyang Liu, Andrew Kuznetsov, Yongsung Kim, Joseph Chee Chang, Aniket Kittur, Brad A. Myers:
Wigglite: Low-cost Information Collection and Triage. - Tinko Bartels, Vissarion Fisikopoulos, Martin Weiser:
Fast Floating-Point Filters for Robust Predicates. - Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu:
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning. - Xiaoyu Li:
Formal guarantees for heuristic optimization algorithms used in machine learning. - Patrick Kinyua Gikunda:
Deep Active Learning with Budget Annotation. - Johan Linåker, Per Runeson:
Public Sector Platforms going Open: Creating and Growing an Ecosystem with Open Collaborative Development. - Sheng-Chieh Lin, Minghan Li, Jimmy Lin:
Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval. - Maryam Bajalan, Edgar Martínez-Moro, Reza Sobhani, Steve Szabo, Gulsum Gozde Yilmazguc:
On the structure of repeated-root polycyclic codes over local rings. - Salar Arbabi, Davide Tavernini, Saber Fallah, Richard Bowden:
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases. - Pappu Kumar Yadav, J. Alex Thomasson, Stephen W. Searcy, Robert G. Hardin, Ulisses Braga-Neto, Sorin C. Popescu, Daniel E. Martin, Roberto Rodriguez, Karem Meza, Juan Enciso, Jorge Solorzano Diaz, Tianyi Wang:
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages. - Angan Mitra, Kim Thang Nguyen, Tuan-Anh Nguyen, Denis Trystram, Paul Youssef:
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building. - Mahdi Saleh, Yige Wang, Nassir Navab, Benjamin Busam, Federico Tombari:
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning. - Diogo Vaz, David R. Matos, Miguel L. Pardal, Miguel Correia:
Learning to generate Reliable Broadcast Algorithms. - Jedrzej Kolodziejski, Bartek Klin:
Countdown μ-calculus. - Ali Borji:
Is current research on adversarial robustness addressing the right problem? - Kaili Wang, Qinchen Wang, Dan Boneh:
ERC-20R and ERC-721R: Reversible Transactions on Ethereum. - Shuvendu Roy, Ali Etemad:
Analysis of Semi-Supervised Methods for Facial Expression Recognition. - Xiaolan Liu, Jiadong Yu, Yuanwei Liu, Yue Gao, Toktam Mahmoodi, Sangarapillai Lambotharan, Danny H. K. Tsang:
Distributed Intelligence in Wireless Networks. - Kejiang Qian, Yijing Li:
Safer Traffic Recovery from the Pandemic in London - Spatiotemporal Data Mining of Car Crashes. - Andreas Kirsch, Yarin Gal:
Unifying Approaches in Data Subset Selection via Fisher Information and Information-Theoretic Quantities. - Ronghao Dang, Liuyi Wang, Zongtao He, Shuai Su, Chengju Liu, Qijun Chen:
Search for or Navigate to? Dual Adaptive Thinking for Object Navigation. - (Withdrawn) A Diamond Structure in the Transducer Hierarchy.
- Antonio M. Mora, Anna Isabel Esparcia-Alcázar:
Evo* 2022 - Late-Breaking Abstracts Volume. - Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: a 3D Generative Model for Animatable Human Avatars. - Guang Hua, Andrew Beng Jin Teoh:
Backdoor Watermarking Deep Learning Classification Models With Deep Fidelity. - Joseph Alejandro Gallego, Fabio A. González:
Quantum Adaptive Fourier Features for Neural Density Estimation. - Maia Stiber, Russell H. Taylor, Chien-Ming Huang:
Modeling Human Response to Robot Errors for Timely Error Detection. - Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan:
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation. - Shuo Zhang:
A primal finite element scheme of the Hodge Laplace problem. - Tan M. Nguyen, Richard G. Baraniuk, Robert M. Kirby, Stanley J. Osher, Bao Wang:
Momentum Transformer: Closing the Performance Gap Between Self-attention and Its Linearization. - Siyu Liu, Xunyuan Yin, Zhichao Pan, Jinfeng Liu:
A sensitivity-based approach to optimal sensor selection for process networks. - Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu:
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. - Simon Stepputtis, Maryam Bandari, Stefan Schaal, Heni Ben Amor:
A System for Imitation Learning of Contact-Rich Bimanual Manipulation Policies. - Yang Li, Jiajun Liu, Brano Kusy, Ross Marchant, Brendan Do, Torsten Merz, Joey Crosswell, Andy Steven, Lachlan Tychsen-Smith, David Ahmedt-Aristizabal, Jeremy Oorloff, Peyman Moghadam, Russ Babcock, Megha Malpani, Ard Oerlemans:
A Real-time Edge-AI System for Reef Surveys. - Huanqi Cao, Jiajie Chen:
Design and Implementation of ShenWei Universal C/C++. - Bowen Xu, Jiakun Xu, Nan Xue, Gui-Song Xia:
Accurate Polygonal Mapping of Buildings in Satellite Imagery. - Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao:
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. - Hiroki Ishizuka, Shoki Kitaguchi, Masashi Nakatani, Hidenori Yoshimura, Fusao Shimokawa:
Computational Models for SA, RA, PC Afferent to Reproduce Neural Responses to Dynamic Stimulus Using FEM Analysis and a Leaky Integrate-and-Fire Model. - Yangyang Shu, Baosheng Yu, Hai-Ming Xu, Lingqiao Liu:
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism. - Hangwei Chen, Feng Shao, Xiongli Chai, Yuese Gu, Qiuping Jiang, Xiangchao Meng, Yo-Sung Ho:
Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric. - Longfei Chen, Yang Ouyang, Haipeng Zhang, Suting Hong, Quan Li:
RISeer: Inspecting the Status and Dynamics of Regional Industrial Structure via Visual Analytics. - Yilan Zhang, Fengying Xie, Xuedong Song, Hangning Zhou, Yiguang Yang, Haopeng Zhang, Jie Liu:
A Rotation Meanout Network with Invariance for Dermoscopy Image Classification and Retrieval. - Frej Berglind, Haron Temam, Supratik Mukhopadhyay, Kamalika Das, Md Saiful Islam Sajol, Kumar Sricharan, Kumar Kallurupalli:
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification. - Sho Tsugawa, Kohei Watabe:
Identifying Influential Brokers on Social Media from Social Network Structure. - Aihua Zheng, Xianpeng Zhu, Chenglong Li, Jin Tang, Jixin Ma:
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark. - Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang:
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. - Advait Bhat, Saaket Agashe, Niharika Mohile, Parth Oberoi, Ravi Jangir, Anirudha Joshi:
Studying writer-suggestion interaction: A qualitative study to understand writer interaction with aligned/misaligned next-phrase suggestion. - Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu:
Composable Text Control Operations in Latent Space with Ordinary Differential Equations. - Kaicheng Pang, Xingxing Zou, Waikeung Wong:
Dress Well via Fashion Cognitive Learning. - Seokjun Park, Jinseok Choi, Jeonghun Park, Wonjae Shin, Bruno Clerckx:
Rate-Splitting Multiple Access for Quantized Multiuser MIMO Communications. - Thierry Denoeux:
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers. - Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang, Fang Chen:
De-biased Representation Learning for Fairness with Unreliable Labels. - Amir Mohammadian, Foad Ghaderi:
SiamixFormer: A Siamese Transformer Network For Building Detection And Change Detection From Bi-Temporal Remote Sensing Images. - François-Xavier Devailly, Denis Larocque, Laurent Charlin:
Model-based graph reinforcement learning for inductive traffic signal control. - Changhong Fu, Weiyu Peng, Sihang Li, Junjie Ye, Ziang Cao:
Local Perception-Aware Transformer for Aerial Tracking. - Patrick Hochstenbach, Herbert Van de Sompel, Miel Vander Sande, Ruben Dedecker, Ruben Verborgh:
Event Notifications in Value-Adding Networks. - Jiang Wu, Dongyu Liu, Ziyang Guo, Yingcai Wu:
RASIPAM: Interactive Pattern Mining of Multivariate Event Sequences in Racket Sports. - (Withdrawn) A Novel Optimized Decomposition Method for Smoluchowski's Aggregation Equation.
- Tomoya Kemmochi, Yuto Miyatake, Koya Sakakibara:
Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities. - Michel Nass, Emil Alégroth, Robert Feldt, Maurizio Leotta, Filippo Ricca:
Similarity-based web element localization for robust test automation. - Bran Knowles, John T. Richards, Frens Kroeger:
The Many Facets of Trust in AI: Formalizing the Relation Between Trust and Fairness, Accountability, and Transparency. - Marek Bolanowski, Kamil Zak, Andrzej Paszkiewicz, Maria Ganzha, Marcin Paprzycki, Piotr Sowinski, Ignacio Lacalle, Carlos Enrique Palau:
Eficiency of REST and gRPC realizing communication tasks in microservice-based ecosystems. - Octavio Castillo Reyes, Adrian Amor-Martin, Arnaud Botella, Pierre Anquez, Luis Emilio García-Castillo:
Tailored meshing for parallel 3D electromagnetic modeling using high-order edge elements. - Jae-Won Cho, Dong-Jin Kim, Hyeonggon Ryu, In So Kweon:
Generative Bias for Visual Question Answering. - Andrea Medaglia, Lorenzo Pareschi, Mattia Zanella:
Stochastic Galerkin particle methods for kinetic equations of plasmas with uncertainties. - Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction. - Reza Najian Asl, Kai-Uwe Bletzinger:
Implicit bulk-surface filtering method for node-based shape optimization and comparison of explicit and implicit filtering techniques. - Zhibin Li, Shuai Li, Xin Luo:
A New Calibration Method for Industrial Robot Based on Step-Size Levenberg-Marquardt Algorithm. - Andreas Deutschmann-Olek, Mohammadamin Tajik, Martino Calzavara, Jörg Schmiedmayer, Tommaso Calarco, Andreas Kugi:
Iterative shaping of optical potentials for one-dimensional Bose-Einstein condensates. - Simon Boche, Xingxing Zuo, Simon Schaefer, Stefan Leutenegger:
Visual-Inertial SLAM with Tightly-Coupled Dropout-Tolerant GPS Fusion. - Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis:
The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. - Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li:
Cross Attention Based Style Distribution for Controllable Person Image Synthesis. - Chenhao Qi, Qiang Liu, Xianghao Yu, Geoffrey Ye Li:
Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO. - Xiyuan Wang, Muhan Zhang:
Graph Neural Network with Local Frame for Molecular Potential Energy Surface. - Nuno Souto:
Joint Active and Passive Beamforming for RIS-aided MIMO Communications with Low-Resolution Phase Shifts. - Vijanti Ramautar, Sergio España:
Domain Analysis of Ethical, Social and Environmental Accounting Methods. - Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches and their Limitations. - Federico Becattini, Lavinia De Divitiis, Claudio Baecchi, Alberto Del Bimbo:
Fashion Recommendation Based on Style and Social Events. - Mohammad Azharuddin Sanpui:
Proportional Fair Division of Multi-layered Cakes. - Hou Shengren, Edgar Mauricio Salazar Duque, Pedro P. Vergara, Peter Palensky:
Performance Comparison of Deep RL Algorithms for Energy Systems Optimal Scheduling. - Stephan-Daniel Gravert, Mike Yan Michelis, Simon Rogler, Dario Tscholl, Thomas Buchner, Robert K. Katzschmann:
Planar Modeling and Sim-to-Real of a Tethered Multimaterial Soft Swimmer Driven by Peano-HASELs. - Seng W. Loke:
The Rise of Quantum Internet Computing. - Joaquín Taverner, Emilio Vivancos, Vicente J. Botti:
e-Genia3 An AgentSpeak extension for empathic agents. - Weiming Feng, Heng Guo, Mark Jerrum, Jiaheng Wang:
A simple polynomial-time approximation algorithm for total variation distances between product distributions. - Barak Hoffer, Shahar Kvatinsky:
Performing Stateful Logic Using Spin-Orbit Torque (SOT) MRAM. - Stefano Piani, Patricio Farrell, Wenyu Lei, Nella Rotundo, Luca Heltai:
Data-driven solutions of ill-posed inverse problems arising from doping reconstruction in semiconductors. - Maor Ivgi, Uri Shaham, Jonathan Berant:
Efficient Long-Text Understanding with Short-Text Models. - Piotr Faliszewski, Grzegorz Gawron, Bartosz Kusek:
Robustness of Greedy Approval Rules. - Zhe Zhu, Liangliang Nan, Haoran Xie, Honghua Chen, Mingqiang Wei, Jun Wang, Jing Qin:
CSDN: Cross-modal Shape-transfer Dual-refinement Network for Point Cloud Completion. - Omar Shaur Choudhry, Paul Omara Odida, Joshua Reiner, Keiron Appleyard, Danielle Kushnir, William Toon:
Data Collection and Analysis of French Dialects. - Baturay Saglam, Dogan Can Çiçek, Furkan B. Mutlu, Suleyman S. Kozat:
Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning. - Mikkel Milo, Eske Hoy Nielsen, Danil Annenkov, Bas Spitters:
Finding smart contract vulnerabilities with ConCert's property-based testing framework. - Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok:
Learning to Navigate using Visual Sensor Networks. - Shreshth Tuli, Fatemeh Mirhakimi, Samodha Pallewatta, Syed Zawad, Giuliano Casale, Bahman Javadi, Feng Yan, Rajkumar Buyya, Nicholas R. Jennings:
AI Augmented Edge and Fog Computing: Trends and Challenges. - Yao Chen, Junhao Pan, Xinheng Liu, Jinjun Xiong, Deming Chen:
HiKonv: Maximizing the Throughput of Quantized Convolution With Novel Bit-wise Management and Computation. - Zhenhao Tang, Xiaobing Zhang, Zi Long, Xianghua Fu:
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval. - Vladan Majerech:
100 prisoners and a lightbulb - looking back. - Shehbaz Jaffer, Kaveh Mahdaviani, Bianca Schroeder:
Improving the Reliability of Next Generation SSDs using WOM-v Codes. - Viswanatha V, Chandana R. K, Ramachandra A. C:
Real Time Object Detection System with YOLO and CNN Models: A Review. - Aman Goel, Qianhui Men, Edmond S. L. Ho:
Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding. - Zheng Tong, Tao Ma, Ju Huyan, Weiguang Zhang:
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation. - Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang:
Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion. - Abdelrahman Mohamed, Rushali Grandhe, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan:
D3Former: Debiased Dual Distilled Transformer for Incremental Learning. - Gabriel Vogel, Lukas Schulze Balhorn, Edwin Hirtreiter, Artur M. Schweidtmann:
SFILES 2.0: An extended text-based flowsheet representation. - Giang Nguyen, Mohammad Reza Taesiri, Anh Nguyen:
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy. - Ricards Marcinkevics, Ece Ozkan, Julia E. Vogt:
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods. - Bretislav Sopík, Tomás Strenácik:
Tree edit distance for hierarchical data compatible with HMIL paradigm. - Lijun Wei, Valérie Gouet-Brunet, Anthony G. Cohn:
Location retrieval using visible landmarks based qualitative place signatures. - Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts:
Verification system based on long-range iris and Graph Siamese Neural Networks. - Theofanis P. Raptis, Claudio Cicconetti, Manolis Falelakis, Tassos Kanellos, Tomás Pariente Lobo:
Design Guidelines for Apache Kafka Driven Data Management and Distribution in Smart Cities. - David Torpey, Richard Klein:
On the robustness of self-supervised representations for multi-view object classification. - Pallabi Saikia, Dhwani Dholaria, Priyanka Yadav, Vaidehi Patel, Mohendra Roy:
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features. - Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. - Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou:
Skeleton-free Pose Transfer for Stylized 3D Characters. - Yu Xue, Jiafeng Qin:
Partial Connection Based on Channel Attention for Differentiable Neural Architecture Search. - Carey Bunks, Tillman Weyde:
Jazz Contrafact Detection. - Nikhil Kumar:
An Approximate Generalization of the Okamura-Seymour Theorem. - Lang Feng, Wenjian Liu, Chuliang Guo, Ke Tang, Cheng Zhuo, Zhongfeng Wang:
GANDSE: Generative Adversarial Network based Design Space Exploration for Neural Network Accelerator Design. - Trygve Olav Fossum, Øystein Sture, Petter Norgren-Aamot, Ingrid Myrnes Hansen, Bjørn Christian Kvisvik, Anne Christine Knag:
Underwater autonomous mapping and characterization of marine debris in urban water bodies. - Zaharah Allah Bukhsh, Nils Jansen, Hajo Molegraaf:
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning. - Mattia Risiglione, Victor Barasuol, Darwin G. Caldwell, Claudio Semini:
A Whole-Body Controller Based on a Simplified Template for Rendering Impedances in Quadruped Manipulators. - Hamed Aslani, Davod Khojasteh Salkuyeh:
Semi-convergence of the APSS method for a class of nonsymmetric three-by-three singular saddle point problems. - Cristian Simionescu, George Stoica, Robert Herscovici:
Dynamic Batch Adaptation. - Hu Su, Yonghao He, Jiabin Zhang, Wei Zou, Bin Fan:
DSLA: Dynamic smooth label assignment for efficient anchor-free object detection. - Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martínez:
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. - Hasnain Irshad Bhatti, Jaekyun Moon:
Locally Supervised Learning with Periodic Global Guidance. - Maxim Mozgovoy, Marina Purgina:
Designing Programming Exercises from Board Games. - Cornelius Bürkle, Fabian Oboril, Johannes Burr, Kay-Ulrich Scholl:
Safe Perception - A Hierarchical Monitor Approach. - Alessio Ferrari, Paola Spoletini, Sourav Debnath:
How Do Requirements Evolve During Elicitation? An Empirical Study Combining Interviews and App Store Analysis. - Bin Li, Yufeng Liu, Ling Tan, Heng Pan, Yan Zhang:
Digital Twin Assisted Task Offloading for Aerial Edge Computing and Networks. - Yongle Luo, Yuxin Wang, Kun Dong, Qiang Zhang, Erkang Cheng, Zhiyong Sun, Bo Song:
Relay Hindsight Experience Replay: Continual Reinforcement Learning for Robot Manipulation Tasks with Sparse Rewards. - Yuanyuan Liu, Wei Dai, Chuanxu Feng, Wenbin Wang, Guanghao Yin, Jiabei Zeng, Shiguang Shan:
MAFW: A Large-scale, Multi-modal, Compound Affective Database for Dynamic Facial Expression Recognition in the Wild. - Jialiang Han, Yudong Han, Gang Huang, Yun Ma:
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning. - Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan:
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs. - Chouaib Bencheikh Lehocine, Erik G. Ström, Fredrik Brännström:
Antenna Combiner for Periodic Broadcast V2V Communication Under Relaxed Worst-Case Propagation. - Richard Hawkins, Matt Osborne, Mike Parsons, Mark Nicholson, John A. McDermid, Ibrahim Habli:
Guidance on the Safety Assurance of Autonomous Systems in Complex Environments (SACE). - Jinfeng Liu, Lingtong Kong, Jie Yang:
ATCA: an Arc Trajectory Based Model with Curvature Attention for Video Frame Interpolation. - Gabriel Vogel, Lukas Schulze Balhorn, Artur M. Schweidtmann:
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets. - Florian Weigand, Andreas Höhl, Julian Zeiss, Ulrich Konigorski, Martin Grimmer:
Continuous locomotion mode recognition and gait phase estimation based on a shank-mounted IMU with artificial neural networks. - Panagiotis Eustratiadis, Henry Gouk, Da Li, Timothy M. Hospedales:
Attacking Adversarial Defences by Smoothing the Loss Landscape. - Kenneth U. Oyibo, Jean D. Louis, Juan E. Gilbert:
iOCR: Informed Optical Character Recognition for Election Ballot Tallies. - Xin Wang, Jian Sun, Gang Wang, Jie Chen:
Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis. - Florian Lehmann, Niklas Markert, Hai Dang, Daniel Buschek:
Suggestion Lists vs. Continuous Generation: Interaction Design for Writing with Generative Models on Mobile Devices Affect Text Length, Wording and Perceived Authorship. - Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Ales Leonardis, Feng Zheng, Hyung Jin Chang:
S2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning. - James Koch, Thomas Maxner, Vinay Amatya, Andisheh Ranjbari, Chase Dowling:
Physics-informed Machine Learning of Parameterized Fundamental Diagrams. - Malgorzata B. Starzynska, Robin Roussel, Sam Jacoby, Ali Asadipour:
Computer vision-based analysis of buildings and built environments: A systematic review of current approaches. - Fabio Massimo Zennaro, Paolo Turrini, Theodoros Damoulas:
Towards Computing an Optimal Abstraction for Structural Causal Models. - Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron:
Joint covariate-alignment and concept-alignment: a framework for domain generalization. - Junyan Guo, Ye Du, Xuesong Wu, Meihong Li, Runfang Wu, Zhichao Sun:
PSAA: Provable Secure and Anti-Quantum Authentication Based on Randomized RLWE for Space Information Network. - Yitong Zhang, Sophia Bano, Ann-Sophie Page, Jan Deprest, Danail Stoyanov, Francisco Vasconcelos:
Retrieval of surgical phase transitions using reinforcement learning. - Michael Sidorov, Dan Vilenchik:
Revisiting Information Cascades in Online Social Networks. - Zheng Wang, Wenjie Ruan:
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem. - Pabbathi Sri Charan, Saksham Gupta, Satvik Agrawal, Gadupudi Sahithi Sindhu:
Effective Gesture Based Framework for Capturing User Input. - Gerry Chen, Seth Hutchinson, Frank Dellaert:
Locally Optimal Estimation and Control of Cable Driven Parallel Robots using Time Varying Linear Quadratic Gaussian Control. - Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler:
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. - Antoine Dufour, Yohan Poirier-Ginter, Alexandre Lessard, Ryan Smith, Michael Lockyer, Jean-François Lalonde:
AdaWCT: Adaptive Whitening and Coloring Style Injection. - Weijia Li, Yawen Lai, Linning Xu, Yuanbo Xiangli, Jinhua Yu, Conghui He, Gui-Song Xia, Dahua Lin:
OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images. - (Withdrawn) giMLPs: Gate with Inhibition Mechanism in MLPs.
- Maryam Khalid, Edward W. Knightly:
Networked Drones for Industrial Emergency Events. - Yousef Altaher, Ali Fadel, Mazen Alotaibi, Mazen Alyazidi, Mishari Al-Mutairi, Mutlaq Aldhbuiub, Abdulrahman Mosaibah, Abdelrahman Rezk, Abdulrazzaq Alhendi, Mazen Abo Shal, Emad A. Alghamdi, Maged Saeed AlShaibani, Jezia Zakraoui, Wafaa Mohammed, Kamel Gaanoun, Khalid N. Elmadani, Mustafa Ghaleb, Nouamane Tazi, Raed Alharbi, Maraim Masoud, Zaid Alyafeai:
Masader Plus: A New Interface for Exploring +500 Arabic NLP Datasets. - A. J. Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova:
Video Question Answering with Iterative Video-Text Co-Tokenization. - Dahlia Malkhi, Pawel Szalachowski:
Maximal Extractable Value (MEV) Protection on a DAG. - Simon-Christian Klein:
Stabilizing discontinuous Galerkin methods using Dafermos' entropy rate criterion. - Zijin Wu, Xingyi Li, Juewen Peng, Hao Lu, Zhiguo Cao, Weicai Zhong:
DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields. - Xing Zhao, Haoran Liang, Peipei Li, Guodao Sun, Dongdong Zhao, Ronghua Liang, Xiaofei He:
Motion-aware Memory Network for Fast Video Salient Object Detection. - Stephan J. Garbin, Marek Kowalski, Virginia Estellers, Stanislaw Szymanowicz, Shideh Rezaeifar, Jingjing Shen, Matthew Johnson, Julien Valentin:
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations. - Yusuf Brima, Marcellin Atemkeng:
What do Deep Neural Networks Learn in Medical Images? - Xiao Han, Kam Woh Ng, Sauradip Nag, Zhiyu Qu:
Large-Scale Product Retrieval with Weakly Supervised Representation Learning. - Jonathan Stieber, Moritz Fuchs, Anirban Mukhopadhyay:
FrOoDo: Framework for Out-of-Distribution Detection. - Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu:
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification. - Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel:
Information Gain Sampling for Active Learning in Medical Image Classification. - Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu:
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning. - Kaiyuan Yang, Li Xia, Y. C. Tay:
Dominant Eigenvalue-Eigenvector Pair Estimation via Graph Infection. - J. Humberto Ramos, Jaejeong Shin, Kyle Volle, Paul Buzaud, Kevin M. Brink, Prashant Ganesh:
Information-Aware Guidance for Magnetic Anomaly based Navigation. - Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho, Xiaoqian Jiang, Sivasubramanium Bhavani:
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning. - Mohit Pal:
Some new classes of (almost) perfect c-nonlinear permutations. - Thaïs Baudon, Carsten Fuhs, Laure Gonnord:
Analysing Parallel Complexity of Term Rewriting. - Ratish Puduppully, Mark Steedman:
Multi-Document Summarization with Centroid-Based Pretraining. - Mahdi Nazeri, Ali Mollahosseini, Iman Izadi:
CBAG: An Efficient Genetic Algorithm for the Graph Burning Problem. - Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer, Ethan Perez:
Few-shot Adaptation Works with UnpredicTable Data. - Jiahui Fu, Yilun Du, Kurran Singh, Joshua B. Tenenbaum, John J. Leonard:
Robust Change Detection Based on Neural Descriptor Fields. - (Withdrawn) BabelBERT: Massively Multilingual Transformers Meet a Massively Multilingual Lexical Resource.
- Alper Ahmetoglu, Erhan Öztop, Emre Ugur:
Learning Multi-Object Symbols for Manipulation with Attentive Deep Effect Predictors. - Asher Elmquist, Radu Serban, Dan Negrut:
A performance contextualization approach to validating camera models for robot simulation. - Chia-Chien Hung, Anne Lauscher, Dirk Hovy, Simone Paolo Ponzetto, Goran Glavas:
On the Limitations of Sociodemographic Adaptation with Transformers. - Reinald Kim Amplayo, Peter J. Liu, Yao Zhao, Shashi Narayan:
SMART: Sentences as Basic Units for Text Evaluation. - Shashwat Sharma, Piero Triverio:
A Generalized Scalar Potential Integral Equation Formulation for the DC Analysis of Conductors. - Alex Wilf, Qianli M. Ma, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency:
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering. - Zhuomin Chai, Yuxiang Zhao, Yibo Lin, Wei Liu, Runsheng Wang, Ru Huang:
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA). - Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang:
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization. - Shivam Garg, Dimitris Tsipras, Percy Liang, Gregory Valiant:
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes. - Hongyang Du, Bohao Ma, Dusit Niyato, Jiawen Kang:
Rethinking Quality of Experience for Metaverse Services: A Consumer-based Economics Perspective. - Robert Andrews:
On Matrix Multiplication and Polynomial Identity Testing. - Vincent Darrigrand, Andrei Dumitrasc, Carola Kruse, Ulrich Rüde:
Inexact inner-outer Golub-Kahan bidiagonalization method: A relaxation strategy. - Seungchan Kim, Chen Wang, Bowen Li, Sebastian A. Scherer:
Robotic Interestingness via Human-Informed Few-Shot Object Detection. - Maryam Khazaei Pool, Lori Lewis:
A Review on Higher Order Spline Techniques for Solving Burgers Equation using B-Spline methods and Variation of B-Spline Techniques. - Andrea Álvarez Pérez, Ana Iglesias-Molina, Lucía Prieto Santamaría, María Poveda-Villalón, Carlos Badenes-Olmedo, Alejandro Rodríguez González:
EBOCA: Evidences for BiOmedical Concepts Association Ontology. - Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Damián Ariel Furman, Pablo Torres, José A. Rodríguez, Lautaro Martinez, Laura Alonso Alemany, Diego Letzen, Maria Vanina Martinez:
Parsimonious Argument Annotations for Hate Speech Counter-narratives. - Jicheng Li, Anjana Bhat, Roghayeh Barmaki:
Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions. - Ravi Pandya, Changliu Liu:
Safe and Efficient Exploration of Human Models During Human-Robot Interaction. - Johan Linåker, Efi Papatheocharous, Thomas Olsson:
How to characterize the health of an Open Source Software project? A snowball literature review of an emerging practice. - Jens Dietrich, Shawn Rasheed, Amjed Tahir:
Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies. - Jayeeta Mondal, Jeet Dutta, Hrishav Bakul Barua:
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic. - Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra:
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. - Alex Meiburg:
Reduction Rules and ILP Are All You Need: Minimal Directed Feedback Vertex Set. - Martin Ehler, Karlheinz Gröchenig:
Gauss Quadrature for Freud Weights, Modulation Spaces, and Marcinkiewicz-Zygmund Inequalities. - Muhammad Asif, Asim Ihsan, Wali Ullah Khan, Ali Ranjha, Shengli Zhang, Sissi Xiaoxiao Wu:
Energy-Efficient Backscatter-Assisted Coded Cooperative-NOMA for B5G Wireless Communications. - Trenton Chang, Michael W. Sjoding, Jenna Wiens:
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning. - David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. - Fangjun Li, David C. Hogg, Anthony G. Cohn:
Exploring the GLIDE model for Human Action-effect Prediction. - Javad Ghofrani, Paria Heravi, Kambiz A. Babaei, Mohammad Divband Soorati:
Trust Challenges in Reusing Open Source Software: An Interview-based Initial Study. - Hao Chen:
Generalized Singleton Type Upper Bounds. - Stefan Lattner:
SampleMatch: Drum Sample Retrieval by Musical Context. - Albert Lu, Jordan Marshall, Yifan Wang, Ming Xiao, Yuhao Zhang, Hiu Yung Wong:
Vertical GaN Diode BV Maximization through Rapid TCAD Simulation and ML-enabled Surrogate Model. - Yi Dong, Yang Chen, Xingyu Zhao, Xiaowei Huang:
Short-term Load Forecasting with Distributed Long Short-Term Memory. - Ben London, Levi Lu, Ted Sandler, Thorsten Joachims:
Boosted Off-Policy Learning. - Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby, Edmond S. L. Ho, David C. G. Sainsbury, Sophie Butterworth, Hubert P. H. Shum:
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip. - Matthew McDermott, Jason H. Rife:
Mitigating Shadows in Lidar Scan Matching using Spherical Voxels. - Ozan Ozyegen, Nicholas Prayogo, Mucahit Cevik, Ayse Basar:
Interpretable Time Series Clustering Using Local Explanations. - Wenbin Lu, Luis E. Peña, Pavel Shamis, Valentin Churavy, Barbara M. Chapman, Steve Poole:
Bring the BitCODE - Moving Compute and Data in Distributed Heterogeneous Systems. - Alex DiChristofano, Henry Shuster, Shefali Chandra, Neal Patwari:
Performance Disparities Between Accents in Automatic Speech Recognition. - Ye Yu, Jialin Yuan, Gaurav Mittal, Fuxin Li, Mei Chen:
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation. - Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath:
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. - Jicheng Li, Anjana Bhat, Roghayeh Barmaki:
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer. - Xuan Luo, Jian Pei, Zicun Cong, Cheng Xu:
On Shapley Value in Data Assemblage Under Independent Utility. - Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark Campbell:
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. - Grigor Aslanyan, Ian Wetherbee:
Patents Phrase to Phrase Semantic Matching Dataset. - Fabian Duffhauss, Tobias Demmler, Gerhard Neumann:
MV6D: Multi-View 6D Pose Estimation on RGB-D Frames Using a Deep Point-wise Voting Network. - Peter A. Jansen, Marc-Alexandre Côté:
TextWorldExpress: Simulating Text Games at One Million Steps Per Second. - Yun-Wei Chu, Seyyedali Hosseinalipour, Elizabeth Tenorio, Laura M. Cruz Castro, Kerrie A. Douglas, Andrew S. Lan, Christopher G. Brinton:
Mitigating Biases in Student Performance Prediction via Attention-Based Personalized Federated Learning. - Tijana Zrnic, Eric Mazumdar:
A Note on Zeroth-Order Optimization on the Simplex. - Jie Hong, Pengfei Fang, Weihao Li, Junlin Han, Lars Petersson, Mehrtash Harandi:
Curved Geometric Networks for Visual Anomaly Recognition. - Xiaohu You, Yongming Huang, Shengheng Liu, Dongming Wang, Junchao Ma, Wei Xu, Chuan Zhang, Hang Zhan, Cheng Zhang, Jiao Zhang, Jin Li, Min Zhu, Jianjie You, Dongjie Liu, Shiwen He, Guanghui He, Fengyi Yang, Yang Liu, Jianjun Wu, Jianmin Lu, Ge Li, Xiaowu Chen, Wenguang Chen, Wen Gao:
Toward 6G TKμ Extreme Connectivity: Architecture, Key Technologies and Experiments. - Yunfan Zhao, Qingkai Pan, Krzysztof Choromanski, Deepali Jain, Vikas Sindhwani:
Implicit Two-Tower Policies. - Wenxuan Ma, Jinming Zhang, Shuang Li, Chi Harold Liu, Yulin Wang, Wei Li:
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation. - Talya Eden, Jakob Bæk Tejs Houen, Shyam Narayanan, Will Rosenbaum, Jakub Tetek:
Bias Reduction for Sum Estimation. - Siwei Wang, Xinwang Liu, En Zhu:
Late Fusion Multi-view Clustering via Global and Local Alignment Maximization. - Zihao Zhao, Yuzhu Mao, Yang Liu, Linqi Song, Ye Ouyang, Xinlei Chen, Wenbo Ding:
Towards Efficient Communications in Federated Learning: A Contemporary Survey. - Kofi Odame, Maria T. Nyamukuru, Mohsen Shahghasemi, Shengjie Bi, David Kotz:
Analog Gated Recurrent Neural Network for Detecting Chewing Events. - Peter G. Stratton, Andrew Wabnitz, Chip Essam, Allen Cheung, Tara J. Hamilton:
Making a Spiking Net Work: Robust brain-like unsupervised machine learning. - Joseph Alejandro Gallego, Juan F. Osorio, Fabio A. González:
Fast Kernel Density Estimation with Density Matrices and Random Fourier Features. - Alexander V. Mamonov, Liliana Borcea, Josselin Garnier, Jörn T. Zimmerling:
Velocity estimation via model order reduction. - Zhongyi Zhou, Koji Yatani:
Gesture-aware Interactive Machine Teaching with In-situ Object Annotations. - Jun Xue, Cunhang Fan, Zhao Lv, Jianhua Tao, Jiangyan Yi, Chengshi Zheng, Zhengqi Wen, Minmin Yuan, Shegang Shao:
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features. - Yogesh Sharma, Deval Bhamare, Nishanth Sastry, Bahman Javadi, Rajkumar Buyya:
SLA Management in Intent-Driven Service Management Systems: A Taxonomy and Future Directions. - Qiong Wu, Yu Zhao, Qiang Fan, Pingyi Fan, Jiangzhou Wang, Cui Zhang:
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning. - Liu Yang, Yun Li, Simon X. Yang, Yinzhi Lu, Tan Guo, Keping Yu:
Generative Adversarial Learning for Intelligent Trust Management in 6G Wireless Networks. - Xinyi Zhong, Jiaoyang Li, Sven Koenig, Hang Ma:
Optimal and Bounded-Suboptimal Multi-Goal Task Assignment and Path Finding. - Qinghong Xu, Jiaoyang Li, Sven Koenig, Hang Ma:
Multi-Goal Multi-Agent Pickup and Delivery. - Chao Yan, Yao Yan, Zhiyu Wan, Ziqi Zhang, Larsson Omberg, Justin Guinney, Sean D. Mooney, Bradley A. Malin:
A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models. - Dazhen Deng:
Design Considerations of Insight-Driven Dashboard Generation. - Miah Mohammad Asif Syeed, Maisha Farzana, Ishadie Namir, Ipshita Ishrar, Meherin Hossain Nushra, Tanvir Rahman:
Flood Prediction Using Machine Learning Models. - Wenhua Wang, Yu Zhao, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li:
Asynchronous Federated Learning Based Mobility-aware Caching in Vehicular Edge Computing. - (Withdrawn) Reduced-order modeling of a sliding ring on an elastic rod with incremental potential formulation.
- Zhen Dai, Lek-Heng Lim, Ke Ye:
Inverting a complex matrix. - Akond Rahman, Chris Parnin:
Detecting and Characterizing Propagation of Security Weaknesses in Puppet-based Infrastructure Management. - Safaa Diab, Amir Nassereldine, Mohammed Alser, Juan Gómez-Luna, Onur Mutlu, Izzat El Hajj:
A Framework for High-throughput Sequence Alignment using Real Processing-in-Memory Systems. - Vijay Rajanna, Tracy Hammond:
Can Gaze Beat Touch? A Fitts' Law Evaluation of Gaze, Touch, and Mouse Inputs. - Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie:
Geometric Interaction Augmented Graph Collaborative Filtering. - Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis:
A Novel Transformer Network with Shifted Window Cross-Attention for Spatiotemporal Weather Forecasting. - Siddharth Saravanan, Aditya Challa, Sravan Danda:
A Robust Morphological Approach for Semantic Segmentation of Very High Resolution Images. - Zhuang Zhao, Min Zhang:
Well-balanced fifth-order finite difference Hermite WENO scheme for the shallow water equations. - B. Swaroopa Reddy:
A ZK-SNARK based Proof of Assets Protocol for Bitcoin Exchanges. - Soroush Sheikh Gargar:
Explicit Use of Fourier Spectrum in Generative Adversarial Networks. - Alireza Masoumi, Mohammad Ravandi, Manouchehr Salehi:
A modified bond-based peridynamics model without limitations on elastic properties. - Jindong Wang, Shuonan Wu:
Discontinuous Galerkin methods for magnetic advection-diffusion problems. - Mathis Fricke, Tomislav Maric, Aleksandar Vuckovic, Dieter Bothe:
A locally signed-distance preserving level set method (SDPLS) for moving interfaces. - Vineet Nagrath, Timo Blender, Nayabrasul Shaik, Christian Schlegel:
Industry 4.0 Asset Administration Shell (AAS): Interoperable Skill-Based Service-Robots. - Fanqi Meng, Xuesong Wang, Jingdong Wang, Peifang Wang:
Automatic Classification of Bug Reports Based on Multiple Text Information and Reports' Intention. - Sanil S. Gandhi, Arvind W. Kiwelekar, Laxman D. Netak, Hansaraj S. Wankhede:
Security Requirement Analysis of Blockchain-based E-Voting Systems. - Qiong Wu, Shuai Shi, Ziyang Wan, Qiang Fan, Pingyi Fan, Cui Zhang:
Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method. - Frederik Hagelskjær, Dirk Kraft:
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components. - Xavier Marjou, Tangui Le Gléau, Vincent Messié, Benoit Radier, Tayeb Lemlouma, Gaël Fromentoux:
Evaluating Inter-Operator Cooperation Scenarios to Save Radio Access Network Energy. - Chih-Jung Tsai, Cheng Sun, Hwann-Tzong Chen:
Multiview Regenerative Morphing with Dual Flows. - Linlin Li, Steven X. Ding, Ketian Liang, Zhiwen Chen, Ting Xue:
Control theoretically explainable application of autoencoder methods to fault detection in nonlinear dynamic systems. - Suchismita Das, Nikhil R. Pal:
Understanding the classes better with class-specific and rule-specific feature selection, and redundancy control in a fuzzy rule based framework. - Shantipriya Parida, Subhadarshi Panda, Stig-Arne Grönroos, Mark Granroth-Wilding, Mika Koistinen:
Silo NLP's Participation at WAT2022. - Sam M. Thompson:
Conjunctive Queries for Logic-Based Information Extraction. - Yunjie Ji, Liangyu Chen, Chenxiao Dou, Baochang Ma, Xiangang Li:
To Answer or Not to Answer? Improving Machine Reading Comprehension Model with Span-based Contrastive Learning. - Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu:
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction. - Bran Knowles, Jason D'Cruz, John T. Richards, Kush R. Varshney:
Humble Machines: Attending to the Underappreciated Costs of Misplaced Distrust. - Boyuan Zheng, Patrick Xia, Mahsa Yarmohammadi, Benjamin Van Durme:
Multilingual Coreference Resolution in Multiparty Dialogue. - Yong Deng, Chenxiao Dou, Liangyu Chen, Deqiang Miao, Xianghui Sun, Baochang Ma, Xiangang Li:
BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection. - Qiming Yang, Kai Zhang, Chaoxiang Lan, Zhi Yang, Zheyang Li, Wenming Tan, Jun Xiao, Shiliang Pu:
Unified Normalization for Accelerating and Stabilizing Transformers. - Dongling Li, Pengchao Wu, Yuehu Dong, Jinghang Gu, Longhua Qian, Guodong Zhou:
Joint Learning-based Causal Relation Extraction from Biomedical Literature. - Tim Puhlfürß, Lloyd Montgomery, Walid Maalej:
An Exploratory Study of Documentation Strategies for Product Features in Popular GitHub Projects. - Yuxi Liu, Zhenhao Zhang, Shaowen Qin:
Compound Density Networks for Risk Prediction using Electronic Health Records. - Deepika Tiwari, Martin Monperrus, Benoit Baudry:
Mimicking Production Behavior with Generated Mocks. - Wei Jiang, Chunmei Su, Ganghui Zhang:
A convexity-preserving and perimeter-decreasing parametric finite element method for the area-preserving curve shortening flow. - Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Ali-Akbar Agha-Mohammadi:
Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain. - Luca Bergamaschi, Massimiliano Ferronato, Giovanni Isotton, Carlo Janna, Angeles Martinez:
Parallel Matrix-free polynomial preconditioners with application to flow simulations in discrete fracture networks. - Dominik Wurzer, Yumeng Qin:
Parameterizing Kterm Hashing. - Gizem Sogancioglu, Fabian Mijsters, Amar van Uden, Jelle Peperzak:
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories. - Dominik Wurzer, Yumeng Qin:
How UMass-FSD Inadvertently Leverages Temporal Bias. - Kamal Kishor Singh:
Application of Blockchain Smart Contracts in E-Commerce and Government. - Milad Ganjalizadeh, Hossein Shokri Ghadikolaei, Johan Haraldson, Marina Petrova:
Interplay between Distributed AI Workflow and URLLC. - Konstantinos D. Katsanos, Paolo Di Lorenzo, George C. Alexandropoulos:
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces. - Sajib Kumar Saha Joy, Dibyo Fabian Dofadar, Riyo Hayat Khan, Md. Sabbir Ahmed, Rafeed Rahman:
A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models. - Pascal Nasahl, Martin Unterguggenberger, Rishub Nagpal, Robert Schilling, David Schrammel, Stefan Mangard:
SCFI: State Machine Control-Flow Hardening Against Fault Attacks. - Olivier Risser-Maroix, Benjamin Chamand:
What can we Learn by Predicting Accuracy? - Michiel E. Hochstenbach, Christian Mehl, Bor Plestenjak:
Solving singular generalized eigenvalue problems. Part II: projection and augmentation. - Reid McIlroy-Young, Russell Wang, Siddhartha Sen, Jon M. Kleinberg, Ashton Anderson:
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess. - Heng Yang, Ke Li:
PyABSA: Open Framework for Aspect-based Sentiment Analysis. - Christian S. Pilz, Benjamin Clemens, Inka C. Hiss, Christoph Weiss, Ulrich Canzler, Jarek Krajewski, Ute Habel, Steffen Leonhardt:
The Face of Affective Disorders. - Vijay K. Garg:
Lattice Linear Predicate Algorithms for the Constrained Stable Marriage Problem with Ties. - Mahdi Rezaei, Negar Nayeri, Saeed Farzi, Hossein Sameti:
Multi-Module G2P Converter for Persian Focusing on Relations between Words. - Holger Klein, Noémie Jaquier, André Meixner, Tamim Asfour:
A Riemannian Take on Human Motion Analysis and Retargeting. - Yanke Li, Tobias Hatt, Ioana Bica, Mihaela van der Schaar:
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction. - Syed Raza Bashir, Vojislav B. Misic:
BERT4Loc: BERT for Location - POI Recommender System. - Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas:
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. - Beibei Lin, Shunli Zhang, Ming Wang, Lincheng Li, Xin Yu:
GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition. - Chaoyu Quan, Xu Wu:
On stability and convergence of L2-1σ method on general nonuniform meshes for subdiffusion equation. - Lorenzo Miretti, Renato Luís Garrido Cavalcante, Slawomir Stanczak:
Joint optimal beamforming and power control in cell-free massive MIMO. - Xue-Cheng Tai, Ragnar Winther, Xiaodi Zhang, Weiying Zheng:
A uniform preconditioner for a Newton algorithm for total-variation minimization and minimum-surface problems. - Raula Gaikovina Kula, Christoph Treude:
In War and Peace: The Impact of World Politics on Software Ecosystems. - Anirban Das, Navlika Singh, Suchetana Chakraborty:
UniPreCIS : A data pre-processing solution for collocated services on shared IoT. - Xinhua Wang:
Signal corrector and decoupling estimations for UAV control. - Chenyang Zhang, Xiyuan Wang, Chuyi Zhao, Yijing Ren, Tianyu Zhang, Zhenhui Peng, Xiaomeng Fan, Quan Li:
PromotionLens: Inspecting Promotion Strategies of Online E-commerce via Visual Analytics. - Hussan Munir, Johan Linåker, Krzysztof Wnuk, Per Runeson, Björn Regnell:
Open innovation using open source tools: a case study at Sony Mobile. - Neha V. Karanjkar, Subodh M. Joshi:
A Python-based Mixed Discrete-Continuous Simulation Framework for Digital Twins. - Thaís Bardini Idalino, Lucia Moura, Ricardo Felipe Custódio, Daniel Panario:
Locating modifications in signed data for partial data integrity. - André Guerino Castoldi, Emerson Luiz do Monte Carmelo, Lucia Moura, Daniel Panario, Brett Stevens:
Bounds on Covering Codes in RT spaces using Ordered Covering Arrays. - Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Replacing Backpropagation with Biological Plausible Top-down Credit Assignment in Deep Neural Networks Training. - Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets:
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. - Konstantinos Dovelos, Stylianos D. Assimonis, Hien Quoc Ngo, Michail Matthaiou:
Superdirective Arrays with Finite-Length Dipoles: Modeling and New Perspectives. - Rui-Yang Ju, Jen-Shiun Chiang:
Connection Reduction Is All You Need. - Christopher D. Hsu, Mulugeta A. Haile, Pratik Chaudhari:
A Model for Perimeter-Defense Problems with Heterogeneous Teams. - Christopher Sun, Jay Nimbalkar, Ravnoor Bedi:
Predicting Future Mosquito Habitats Using Time Series Climate Forecasting and Deep Learning. - Homa Esfahanizadeh, Alejandro Cohen, Muriel Médard, Shlomo Shamai:
Distributed Computations with Layered Resolution. - Magali Bardet, Manon Bertin:
Improvement of algebraic attacks for solving superdetermined MinRank instances. - Emily Yu, Nils Froleyks, Armin Biere, Keijo Heljanko:
Stratified Certification for k-Induction. - Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, Rahul Gupta, Wael Hamza, Haidar Khan, Charith Peris, Stephen Rawls, Andy Rosenbaum, Anna Rumshisky, Chandana Satya Prakash, Mukund Sridhar, Fabian Triefenbach, Apurv Verma, Gökhan Tür, Prem Natarajan:
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Gian Marti, Torben Kölle, Christoph Studer:
Mitigating Smart Jammers in Multi-User MIMO. - Tudor Jianu, Baoru Huang, Mohamed E. M. K. Abdelaziz, Minh Nhat Vu, Sebastiano Fichera, Chun-Yi Lee, Pierre Berthet-Rayne, Ferdinando Rodriguez y Baena, Anh Nguyen:
CathSim: An Open-source Simulator for Autonomous Cannulation. - Pu Ren, Chengping Rao, Yang Liu, Zihan Ma, Qi Wang, Jian-Xun Wang, Hao Sun:
Physics-informed Deep Super-resolution for Spatiotemporal Data. - Ronghua Xu, Yu Chen, Xiaohua Li, Erik Blasch:
A Secure Dynamic Edge Resource Federation Architecture for Cross-Domain IoT Systems. - Barbara Berti, Andrea Esuli, Fabrizio Sebastiani:
Unravelling Interlanguage Facts via Explainable Machine Learning. - Junxue Zhang:
Extremal numbers of disjoint triangles in r-partite graphs. - Callum Newlands, Klaus-Peter Zauner:
Procedural Generation and Rendering of Realistic, Navigable Forest Environments: An Open-Source Tool. - Théophile Chaumont-Frelet, Padtrick Vega:
Frequency-explicit a posteriori error estimates for discontinuous Galerkin discretizations of Maxwell's equations. - Maximilian Felde, Maren Koyda:
Interval-Dismantling for Lattices. - Diego F. Salazar-D'Antonio, David Saldaña:
Folding Knots Using a Team of Aerial Robots. - Eyal Shnarch, Alon Halfon, Ariel Gera, Marina Danilevsky, Yannis Katsis, Leshem Choshen, Martín Santillán Cooper, Dina Epelboim, Zheng Zhang, Dakuo Wang, Lucy Yip, Liat Ein-Dor, Lena Dankin, Ilya Shnayderman, Ranit Aharonov, Yunyao Li, Naftali Liberman, Philip Levin Slesarev, Gwilym Newton, Shila Ofek-Koifman, Noam Slonim, Yoav Katz:
Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden:
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter. - Qiangqiang Liu, Yukun Ren, Zhihua Zhu, Dai Li, Xiaojuan Ma, Quan Li:
RankAxis: Towards a Systematic Combination of Projection and Ranking in Multi-Attribute Data Exploration. - Nicolas Six, Nicolas Herbaut, Roberto Erick Lopez-Herrejon, Camille Salinesi:
Using Software Product Lines to Create Blockchain Products: Application to Supply Chain Traceability. - Manuel Stoiber, Martin Sundermeyer, Wout Boerdijk, Rudolph Triebel:
A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures. - Meiziniu Li, Jialun Cao, Yongqiang Tian, Tsz On Li, Ming Wen, Shing-Chi Cheung:
MEMO: Coverage-guided Model Generation For Deep Learning Library Testing. - Marcelo Sartori Locatelli, Josemar Alves Caetano, Wagner Meira Jr., Virgílio A. F. Almeida:
Characterizing Vaccination Movements on YouTube in the United States and Brazil. - Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava:
s-LIME: Reconciling Locality and Fidelity in Linear Explanations. - Romaric Gaudel, Matthieu Rodet:
Unimodal Mono-Partite Matching in a Bandit Setting. - Katja Tuma, Winnie Mbaka:
Human Aspect of Threat Analysis: A Replication. - Romain Delabeye, Olivia Penas, Martin Ghienne, Arkadiusz Kosecki, Jean-Luc Dion:
MBSE analysis for energy sustainability improvement in manufacturing industry. - Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont:
UniRank: Unimodal Bandit Algorithm for Online Ranking. - Radu Iosif, Florian Zuleger:
On the Expressiveness of a Logic of Separated Relations. - Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj:
DSR - A dual subspace re-projection network for surface anomaly detection. - Paolo Gabriel Cachi, Sebastián Ventura, Krzysztof J. Cios:
MT-SNN: Spiking Neural Network that Enables Single-Tasking of Multiple Tasks. - Winnie Mbaka, Katja Tuma:
A replication of a controlled experiment with two STRIDE variants. - Hans De Sterck, Stephanie Friedhoff, Oliver A. Krzysik, Scott P. MacLachlan:
Multigrid reduction-in-time convergence for advection problems: A Fourier analysis perspective. - Giovanni Menegozzo, Diego Dall'Alba, Paolo Fiorini:
CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods. - Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht:
Towards Psychologically-Grounded Dynamic Preference Models. - Burhan Wafai, Chinmoy Kundu, Ankit Dubey, Mark F. Flanagan:
Optimal Friendly Jamming and Transmit Power Allocation in RIS-assisted Secure Communication. - Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo:
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. - Andrew P. Sabelhaus, Zach J. Patterson, Anthony T. Wertz, Carmel Majidi:
Safe Supervisory Control of Soft Robot Actuators. - Sunjay Cauligi, Marco Guarnieri, Daniel Moghimi, Deian Stefan, Marco Vassena:
A Turning Point for Verified Spectre Sandboxing. - Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Super-Wideband Massive MIMO. - Cassandra L. Jacobs, Yuval Pinter:
Lost in Space Marking. - Feilong Chen, Di Wu, Jie Yang, Yi He:
An Online Sparse Streaming Feature Selection Algorithm. - Niclas Boehmer, Klaus Heeger, Rolf Niedermeier:
Deepening the (Parameterized) Complexity Analysis of Incremental Stable Matching Problems. - Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig:
Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs. - Konstantinos Kalais, Sotirios Chatzis:
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning. - Giuseppe Attanasio, Eliana Pastor, Chiara Di Bonaventura, Debora Nozza:
ferret: a Framework for Benchmarking Explainers on Transformers. - Junru Gu, Chenxu Hu, Tianyuan Zhang, Xuanyao Chen, Yilun Wang, Yue Wang, Hang Zhao:
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries. - Xiang Gao, Yuqi Zhang, Yingjie Tian:
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. - Anurag Kanaujia, Prashasti Singh, Abhirup Nandy, Vivek Kumar Singh:
Research Contribution of major Centrally Funded Institution Systems of India. - Sarah Elder, Nusrat Zahan, Rui Shu, Monica Metro, Valeri Kozarev, Tim Menzies, Laurie A. Williams:
Do I really need all this work to find vulnerabilities? An empirical case study comparing vulnerability detection techniques on a Java application. - Matthias Mayr, Carl Hvarfner, Konstantinos I. Chatzilygeroudis, Luigi Nardi, Volker Krüger:
Learning Skill-based Industrial Robot Tasks with User Priors. - Owen Parsons, Nathan E. Barlow, Janie Baxter, Karen Paraschin, Andrea Derix, Peter Hein, Robert Dürichen:
Enabling scalable clinical interpretation of ML-based phenotypes using real world data. - Wolfgang Gatterbauer, Cody Dunne, H. V. Jagadish, Mirek Riedewald:
Principles of Query Visualization. - Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or:
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion. - Muthukrishnan Senthil Kumar, Aresh Dadlani, Masoumeh Moradian, Ahmad Khonsari, Theodoros A. Tsiftsis:
On the Age of Status Updates in Unreliable Multi-Source M/G/1 Queueing Systems. - Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund:
Single chip photonic deep neural network with accelerated training. - Eric Ribeiro, Ronan Nascimento, Igor Steinmacher, Laerte Xavier, Marco Aurélio Gerosa, Hugo de Paula, Mairieli Santos Wessel:
Together or Apart? Investigating a mediator bot to aggregate bot's comments on pull requests. - Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or:
Prompt-to-Prompt Image Editing with Cross Attention Control. - Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik:
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture. - Kunal Abhishek, E. George Dharma Prakash Raj:
Evaluation of Computational Approaches of Short Weierstrass Elliptic Curves for Cryptography. - Kunal Abhishek, E. George Dharma Prakash Raj:
Computation of Trusted Short Weierstrass Elliptic Curves for Cryptography. - Chris Clifton, Bradley A. Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma:
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. - Luis Sanchez Tapia:
The Importance of the Instantaneous Phase in Detecting Faces with Convolutional Neural Networks. - Simson L. Garfinkel, Jonathan Stewart:
Sharpening Your Tools: Updating bulk_extractor for the 2020s. - Marek Gagolewski:
Data Fusion: Theory, Methods, and Applications. - Stevan Stanovic, Benoit Gaüzère, Luc Brun:
Maximal Independent Vertex Set applied to Graph Pooling. - Mohammad Khosravi:
Representer Theorem for Learning Koopman Operators. - Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang:
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. - Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles:
Curvature-informed multi-task learning for graph networks. - Tianhao Xie, Brian Barsky, Sudhir P. Mudur, Tiberiu Popa:
Differentiable Subdivision Surface Fitting. - David Witman, Alexander New, Hicham Alkendry, Honest Mrema:
Neural Basis Functions for Accelerating Solutions to High Mach Euler Equations. - Casey Hanks, Michael Maiden, Priyanka Ranade, Tim Finin, Anupam Joshi:
Recognizing and Extracting Cybersecurtity-relevant Entities from Text. - Johan Linåker, Per Runeson:
Sustaining Open Data as a Digital Common - Design principles for Common Pool Resources applied to Open Data Ecosystems. - Kartik Lakhotia, Maciej Besta, Laura Monroe, Kelly Isham, Patrick Iff, Torsten Hoefler, Fabrizio Petrini:
PolarFly: A Cost-Effective and Flexible Low-Diameter Topology. - Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born:
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. - Zitao Li, Tianhao Wang, Ninghui Li:
Differentially Private Vertical Federated Clustering. - Kasra Ghasemi, Sadra Sadraddini, Calin Belta:
Compositional Synthesis for Linear Systems via Convex Optimization of Assume-Guarantee Contracts. - Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert F. Erbacher:
CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations. - Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner:
Binary Classification with Positive Labeling Sources. - Mark Penrod, Harrison Termotto, Varshini Reddy, Jiayu Yao, Finale Doshi-Velez, Weiwei Pan:
Success of Uncertainty-Aware Deep Models Depends on Data Manifold Geometry. - (Withdrawn) Autonomous Agriculture Robot for Smart Farming.
- Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates:
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. - Ziwei Wang, Yonhon Ng, Jack Henderson, Robert E. Mahony:
Smart Visual Beacons with Asynchronous Optical Communications using Event Cameras. - Marília Costa Rosendo Silva, Felipe Alves Siqueira, João Pedro Mantovani Tarrega, João Vitor Pataca Beinotti, Augusto Sousa Nunes, Miguel de Mattos Gardini, Vinícius Adolfo Pereira da Silva, Nádia Félix Felipe da Silva, André Carlos Ponce de Leon Ferreira de Carvalho:
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling. - Ian Van Buskirk, Aaron Clauset, Daniel B. Larremore:
An Open-Source Cultural Consensus Approach to Name-Based Gender Classification. - Arnaud Casteigts, Timothée Corsini, Writika Sarkar:
Simple, strict, proper, happy: A study of reachability in temporal graphs. - Sarina Jami, Iman Sahebi, Mohammad M. Sabermahani, Seyed Pooya Shariatpanahi, Aresh Dadlani, Behrouz Maham:
Rumor Stance Classification in Online Social Networks: A Survey on the State-of-the-Art, Prospects, and Future Challenges. - Peter Macgregor, He Sun:
A Tighter Analysis of Spectral Clustering, and Beyond. - Elmehdi Illi, Marwa K. Qaraqe, Faissal El Bouanani, Saif M. Al-Kuwari:
Can Artificial Noise Boost Further the Secrecy of Dual-hop RIS-aided Networks? - Christian M. M. Frey, Matthias Schubert:
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. - Han Zhang, Hao Zhou, Melike Erol-Kantarci:
Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing. - Vishrant Tripathi, Eytan H. Modiano:
Optimizing Age of Information with Correlated Sources. - Jin-Zhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera, Jianxi Gao:
Reconstructing Sparse Illicit Supply Networks: A Case Study of Multiplex Drug Trafficking Networks. - Ralvi Isufaj, Marsel Omeri, Miquel Angel Piera, Jaume Saez Valls, Christian Eduardo Verdonk Gallego:
From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics. - Johan Linåker, Björn Regnell, Hussan Munir:
Requirements engineering in open innovation: a research agenda. - Antoine Huchet, Jean-Loup Guillaume, Yacine Ghamri-Doudane:
Sniffer deployment in urban area for human trajectory reconstruction and contact tracing. - Taehyeong Kim, Hyeonseop Song, Byoung-Tak Zhang:
Cross-Modal Alignment Learning of Vision-Language Conceptual Systems. - Johan Linåker, Per Runeson:
Collaboration in Open Government Data Ecosystems: Open Cross-sector Sharing and Co-development of Data and Software. - Marian Lupascu, Ryan Murdock, Ionut Mironica, Yijun Li:
A Fast Text-Driven Approach for Generating Artistic Content. - Ru Geng, Yixian Gao, Hongkun Zhang, Jian Zu:
Analysis of the Spatio-temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory. - Ali Muhammad, Mohamed Kadry Elhattab, Mohamed Amine Arfaoui, Chadi Assi:
Optimizing Information Freshness Leveraging Multi-RISs in NOMA-based IoT Networks. - Edward Fish, Jon Weinbren, Andrew Gilbert:
Two-Stream Transformer Architecture for Long Video Understanding. - Dhanasekar Sundararaman, Vivek Subramanian:
Exploring Gender Bias in Retrieval Models. - Ruibo Wang, Anna Talgat, Mustafa A. Kishk, Mohamed-Slim Alouini:
Conditional Contact Angle Distribution in LEO Satellite-Relayed Transmission. - Etinosa Ekomwenrenren, John W. Simpson-Porco, Evangelos Farantatos, Mahendra Patel, Aboutaleb Haddadi, Lin Zhu:
Data-Driven Fast Frequency Control using Inverter-Based Resources. - Zongwei Wu, Shriarulmozhivarman Gobichettipalayam, Brahim Tamadazte, Guillaume Allibert, Danda Pani Paudel, Cédric Demonceaux:
Robust RGB-D Fusion for Saliency Detection. - Jennifer Head, Dianne P. O'Leary:
Mary Kenneth Keller: First US PhD in Computer Science. - Ibrahim H. Ahmed, Cillian Brewitt, Ignacio Carlucho, Filippos Christianos, Mhairi Dunion, Elliot Fosong, Samuel Garcin, Shangmin Guo, Balint Gyevnar, Trevor McInroe, Georgios Papoudakis, Arrasy Rahman, Lukas Schäfer, Massimiliano Tamborski, Giuseppe Vecchio, Cheng Wang, Stefano V. Albrecht:
Deep Reinforcement Learning for Multi-Agent Interaction. - Waixiang Cao, Chunmei Wang, Junping Wang:
An Lp-Primal-Dual Weak Galerkin method for div-curl Systems. - Georgia Shay, Justin Solomon, Oded Stein:
A Dataset and Benchmark for Mesh Parameterization. - Yotto Koga, Heather Kerrick, Sachin Chitta:
On CAD Informed Adaptive Robotic Assembly. - James Noeckel, Benjamin T. Jones, Karl D. D. Willis, Brian Curless, Adriana Schulz:
Mates2Motion: Learning How Mechanical CAD Assemblies Work. - Chase Stokes, Vidya Setlur, Bridget Cogley, Arvind Satyanarayan, Marti A. Hearst:
Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts. - Xiucheng Wang, Longfei Ma, Haocheng Li, Zhisheng Yin, Tom H. Luan, Nan Cheng:
Digital Twin-Assisted Efficient Reinforcement Learning for Edge Task Scheduling. - Kisun Lee:
The NumericalCertification package in Macaulay2. - Longfei Ma, Nan Cheng, Xiucheng Wang, Ruijin Sun, Ning Lu:
On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks. - Victor Paredes, Ayonga Hereid:
Resolved Motion Control for 3D Underactuated Bipedal Walking using Linear Inverted Pendulum Dynamics and Neural Adaptation. - Kamak Ebadi, Lukas Bernreiter, Harel Biggie, Gavin Catt, Yun Chang, Arghya Chatterjee, Christopher E. Denniston, Simon-Pierre Deschênes, Kyle Harlow, Shehryar Khattak, Lucas Nogueira, Matteo Palieri, Pavel Petrácek, Matej Petrlík, Andrzej Reinke, Vít Krátký, Shibo Zhao, Ali-akbar Agha-mohammadi, Kostas Alexis, Christoffer Heckman, Kasra Khosoussi, Navinda Kottege, Benjamin Morrell, Marco Hutter, Fred Pauling, François Pomerleau, Martin Saska, Sebastian A. Scherer, Roland Siegwart, Jason L. Williams, Luca Carlone:
Present and Future of SLAM in Extreme Underground Environments. - Frederico Fernandes Afonso Silva, Bruno Vilhena Adorno:
Dynamic Modeling of Branched Robots using Modular Composition. - Carlos V. G. C. Lima, Vinícius Fernandes dos Santos, João H. G. Sousa, Sebastián Alberto Urrutia:
On the Computational Complexity of the Strong Geodetic Recognition Problem. - Kensuke Nakamura, María Santos, Naomi Ehrich Leonard:
Decentralized Learning With Limited Communications for Multi-robot Coverage of Unknown Spatial Fields. - Pranav Sankhe, Seventy F. Hall, Melanie D. Sage, Maria Y. Rodriguez, Varun Chandola, Kenneth Joseph:
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data. - Chengyuan Li, Meifu Li, Zhifang Qiu:
Post-hoc Interpretability based Parameter Selection for Data Oriented Nuclear Reactor Accident Diagnosis System. - Rusheng Wang, Bo Chen, Zhongyao Hu, Li Yu:
Distributed Event-Triggered Nonlinear Fusion Estimation under Resource Constraints. - Jun Wang, Mingfei Gao, Yuqian Hu, Ramprasaath R. Selvaraju, Chetan Ramaiah, Ran Xu, Joseph F. JáJá, Larry S. Davis:
TAG: Boosting Text-VQA via Text-aware Visual Question-answer Generation. - Angelina Aquino, Franz A. de Leon:
Benchmarking zero-shot and few-shot approaches for tokenization, tagging, and dependency parsing of Tagalog text. - Shuming Shi, Enbo Zhao, Duyu Tang, Yan Wang, Piji Li, Wei Bi, Haiyun Jiang, Guoping Huang, Leyang Cui, Xinting Huang, Cong Zhou, Yong Dai, Dongyang Ma:
Effidit: Your AI Writing Assistant. - Zhijie Shen, Chunyu Lin, Lang Nie, Kang Liao, Yao Zhao:
Neural Contourlet Network for Monocular 360 Depth Estimation. - Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury:
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. - Shuchang Tao, Qi Cao, Huawei Shen, Yunfan Wu, Liang Hou, Xueqi Cheng:
Adversarial Camouflage for Node Injection Attack on Graphs. - Shijie Zhou, Zhimeng Guo, Charu C. Aggarwal, Xiang Zhang, Suhang Wang:
Link Prediction on Heterophilic Graphs via Disentangled Representation Learning. - Bing Zhou, Xiucai Huang, Yongduan Song:
Asymptotic Tracking Control of Uncertain MIMO Nonlinear Systems with Less Conservative Controllability Conditions. - Yijing Yang, Vasileios Magoulianitis, Xinyu Wang, C.-C. Jay Kuo:
Statistical Attention Localization (SAL): Methodology and Application to Object Classification. - Aohan Li, Ikumi Urabe, Minoru Fujisawa, So Hasegawa, Hiroyuki Yasuda, Song-Ju Kim, Mikio Hasegawa:
A Lightweight Transmission Parameter Selection Scheme Using Reinforcement Learning for LoRaWAN. - Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian:
A New Implementation of Federated Learning for Privacy and Security Enhancement. - Wenxue Cui, Shaohui Liu, Debin Zhao:
Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing. - Boxiao Shen, Yongpeng Wu, Wenjun Zhang, Geoffrey Ye Li, Jianping An, Chengwen Xing:
LEO Satellite-Enabled Grant-Free Random Access with MIMO-OTFS. - Xingchen Li, Long Chen, Wenbo Ma, Yi Yang, Jun Xiao:
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation. - Xiang Yu, Zhe Geng, Xiaohua Huang, Qinglu Wang, Daiyin Zhu:
EMC2A-Net: An Efficient Multibranch Cross-channel Attention Network for SAR Target Classification. - Chenjie Cao, Qiaole Dong, Yanwei Fu:
Learning Prior Feature and Attention Enhanced Image Inpainting. - Hui Su, Yue Ye, Zhiwei Chen, Mingli Song, Lechao Cheng:
Re-Attention Transformer for Weakly Supervised Object Localization. - Sudhi P. V., Victorita Dolean, Pierre Jolivet, Brandon Robinson, Jodi D. Edwards, Tetyana Kendzerska, Abhijit Sarkar:
Scalable Computational Algorithms for Geo-spatial Covid-19 Spread in High Performance Computing. - Shreya Ghosh, Abhinav Dhall, Jarrod Knibbe, Munawar Hayat:
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation. - Wenkai Li, Cheng Feng, Ting Chen, Jun Zhu:
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data. - Johnson Vo, Jiabao Xie, Sahil Patel:
Multiclass ASMA vs Targeted PGD Attack in Image Segmentation. - Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang:
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Bharat Runwal, Vivek, Sandeep Kumar:
Robust Graph Neural Networks using Weighted Graph Laplacian. - Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham M. Kakade:
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift. - Guangjin Pan, Heng Zhang, Shugong Xu, Shunqing Zhang, Xiaojing Chen:
Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications. - Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp:
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing. - Dohoon Ryu, Jong Chul Ye:
Pyramidal Denoising Diffusion Probabilistic Models. - Mintaek Oh, Jeonghun Park, Jinseok Choi:
Joint Optimization for Secure and Reliable Communications in Finite Blocklength Regime. - Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar:
A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. - Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. - Avi Shmidman, Joshua Guedalia, Shaltiel Shmidman, Cheyn Shmuel Shmidman, Eli Handel, Moshe Koppel:
Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language. - Md Shahriar Tasjid, Ahmed Al Marouf:
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies. - Willem L. Fouché, Safari Mukeru:
Local time of Martin-Lof Brownian motion. - Yujie Yao, Hao Zhou, Melike Erol-Kantarci:
Joint Sensing and Communications for Deep Reinforcement Learning-based Beam Management in 6G. - Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu:
Graph Signal Processing for Heterogeneous Change Detection Part I: Vertex Domain Filtering. - Daniela Pagnani, Lukasz Hubert Kocewiak, Jesper Hjerrild, Frede Blaabjerg, Claus Leth Bak:
Integrating Black Start Capabilities into Offshore Wind Farms by Grid-Forming Batteries. - Majid Rafiei, Gamal Elkoumy, Wil M. P. van der Aalst:
Quantifying Temporal Privacy Leakage in Continuous Event Data Publishing. - Abdul Halim, Abdur Rohim, B. V. Rathish Kumar, Ripan Saha:
A Fractional Image Inpainting Model Using a Variant of Mumford-Shah Model. - Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu:
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. - Qiong Wu, Xiaobo Wang, Qiang Fan, Pingyi Fan, Cui Zhang, Zhengquan Li:
High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks. - C. Piselli, Andrea Fronzetti Colladon, Ludovica Segneri, Anna Laura Pisello:
Evaluating and improving social awareness of energy communities through semantic network analysis of online news. - Laurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato:
Flow Annealed Importance Sampling Bootstrap. - Katja Tuma, Romy Van Der Lee:
The Role of Diversity in Cybersecurity Risk Analysis: An Experimental Plan. - Mei Chee Leong, Haosong Zhang, Hui Li Tan, Liyuan Li, Joo Hwee Lim:
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition. - Yixin Fei, Zhongkai Zhao, Siwei Yang, Bingchen Zhao:
XCon: Learning with Experts for Fine-grained Category Discovery. - Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo:
Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. - Siyuan Wang, Qiong Wu, Qiang Fan, Cui Zhang, Zhengquan Li:
Asynchronous Federated Learning for Edge-assisted Vehicular Networks. - Joze M. Rozanec, Bojan Nemec:
Neural Dynamic Movement Primitives - a survey. - Yuli Sun, Lin Lei, Dongdong Guan, Gangyao Kuang, Li Liu:
Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis. - Atsushi Suzuki:
A Hybrid Factorization Algorithm for Sparse Matrix with Mixed Precision Arithmetic. - Cosimo Sguanci, Anastasios Sidiropoulos:
Mass Exit Attacks on the Lightning Network. - Xingchen Li, Long Chen, Jian Shao, Shaoning Xiao, Songyang Zhang, Jun Xiao:
Rethinking the Evaluation of Unbiased Scene Graph Generation. - Zdravko Marinov, David Schneider, Alina Roitberg, Rainer Stiefelhagen:
Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living. - Jens-Michalis Papaioannou, Paul Grundmann, Betty van Aken, Athanasios Samaras, Ilias Kyparissidis, George Giannakoulas, Felix A. Gers, Alexander Löser:
Cross-Lingual Knowledge Transfer for Clinical Phenotyping. - Penglei Gao, Xi Yang, Kaizhu Huang, Rui Zhang, Ping Guo, John Yannis Goulermas:
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables. - MyeongAh Cho, Tae-Young Chung, Hyeongmin Lee, Sangyoun Lee:
N-RPN: Hard Example Learning for Region Proposal Networks. - Mireille Fares, Michele Grimaldi, Catherine Pelachaud, Nicolas Obin:
Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding. - Sicheng Zhang, Jiarun Yu, Zhida Bao, Shiwen Mao, Yun Lin:
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification. - Yue Zhou, Zhigang Liu, Ye Yuan:
Graph Regularized Nonnegative Latent Factor Analysis Model for Temporal Link Prediction in Cryptocurrency Transaction Networks. - KwanYong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Per-Clip Video Object Segmentation. - Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu:
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. - Bing Han, Zhengyang Chen, Yanmin Qian:
Self-Supervised Speaker Verification Using Dynamic Loss-Gate and Label Correction. - Bing Han, Zhengyang Chen, Zhikai Zhou, Yanmin Qian:
The SJTU System for Short-duration Speaker Verification Challenge 2021. - Weidong Li, Haifan Yin, Ziao Qin, Yandi Cao, Mérouane Debbah:
A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method for Massive MIMO with Mobility. - Zhaolin Wang, Xidong Mu, Yuanwei Liu, Robert Schober:
Coupled Phase-Shift STAR-RISs: A General Optimization Framework. - Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng:
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators. - Mingyuan Gao, Hung Dang, Ee-Chien Chang, Jialin Li:
Mixed Fault Tolerance Protocols with Trusted Execution Environment. - Cristina Padovani, Margherita Porcelli:
A semidefinite programming approach for the projection onto the cone of negative semidefinite symmetric tensors with applications to solid mechanics. - Manisha Das Chaity, Masud An Nur Islam Fahim:
Decay2Distill: Leveraging spatial perturbation and regularization for self-supervised image denoising. - Mengmeng Xu, Cheng-Yang Fu, Yanghao Li, Bernard Ghanem, Juan-Manuel Pérez-Rúa, Tao Xiang:
Negative Frames Matter in Egocentric Visual Query 2D Localization. - Jan Hartman, Davorin Kopic:
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding. - Ajinkya Gaikwad, Hitendra Kumar, Soumen Maity, Saket Saurabh, Shuvam Kant Tripathi:
Maximum Minimal Feedback Vertex Set: A Parameterized Perspective. - Juncheng Li, Junlin Xie, Linchao Zhu, Long Qian, Siliang Tang, Wenqiao Zhang, Haochen Shi, Shengyu Zhang, Longhui Wei, Qi Tian, Yueting Zhuang:
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos. - Tim Frommknecht, Pedro Alves Zipf, Quanfu Fan, Nina Shvetsova, Hilde Kuehne:
Augmentation Learning for Semi-Supervised Classification. - Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé:
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? - Vladimír Petrík, Mohammad Nomaan Qureshi, Josef Sivic, Makarand Tapaswi:
Learning Object Manipulation Skills from Video via Approximate Differentiable Physics. - Nouar AlDahoul, Hezerul Abdul Karim, Shaira Limson Kee, Myles Joshua Toledo Tan:
Localization and Classification of Parasitic Eggs in Microscopic Images Using an EfficientDet Detector. - Abhishek Tiwari, Jyoti Prakash, Alimerdan Rahimov, Christian Hammer:
Our fingerprints don't fade from the Apps we touch: Fingerprinting the Android WebView. - Yujia Chen, Xiaoxue Ren, Cuiyun Gao, Yun Peng, Xin Xia, Michael R. Lyu:
API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning. - Jesse Nyyssölä, Mika Mäntylä, Martín Varela:
How to Configure Masked Event Anomaly Detection on Software Logs? - Xin Zhang, Ying-Cong Chen:
Adaptive Domain Generalization via Online Disagreement Minimization. - Kangjun Liu, Ke Chen, Kui Jia:
Convolutional Fine-Grained Classification with Self-Supervised Target Relation Regularization. - Vladimir Kolmogorov:
OrderedCuts: A new approach for computing Gomory-Hu tree. - Johan Linåker, Hussan Munir, Per Runeson, Björn Regnell, Claes Schrewelius:
A Survey on the Perception of Innovation in a Large Product-Focused Software Organization. - Yan Hao Ling, Jonathan Scarlett:
Multi-Bit Relaying over a Tandem of Channels. - Julia Hornauer, Vasileios Belagiannis:
Gradient-based Uncertainty for Monocular Depth Estimation. - Farhad Mehdifar, Charalampos P. Bechlioulis, Dimos V. Dimarogonas:
Funnel Control Under Hard and Soft Output Constraints. - Dominic Sanderson, Tatiana Kalgonova:
Maintaining Performance with Less Data. - Lina María Amaya-Mejía, Nicolás Duque-Suárez, Daniel Jaramillo-Ramirez, Carol Martínez:
Vision-Based Safety System for Barrierless Human-Robot Collaboration. - Yivan Zhang, Jindong Wang, Xing Xie, Masashi Sugiyama:
Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. - Gokcen Gokceoglu, Emre Akbas:
Character Generation through Self-Supervised Vectorization. - Severin Reiz, Tobias Neckel, Hans-Joachim Bungartz:
Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs. - Ítalo Romani de Oliveira, José Alexandre T. Guerreiro Fregnani, Gláucia Costa Balvedi, Michael L. Ulrey, Jeffery D. Musiak:
Safety Analysis Methods for Complex Systems in Aviation. - Ziping Yu, Hongbo Huang, Weijun Chen, Yongxin Su, Yahui Liu, Xiuying Wang:
YOLO-FaceV2: A Scale and Occlusion Aware Face Detector. - Yilei Jiang, Dongkun Han:
Finite-time Motion Planning of Multi-agent Systems with Collision Avoidance. - Mrudang Mathur, Josef M. Brozovich, Manuel K. Rausch:
A Brief Note on Building Augmented Reality Models for Scientific Visualization. - Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia:
OLLIE: Derivation-based Tensor Program Optimizer. - Timo Bertram, Johannes Fürnkranz, Martin Müller:
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess. - Laurens Martin Tetzlaff:
BPMN4sML: A BPMN Extension for Serverless Machine Learning. Technology Independent and Interoperable Modeling of Machine Learning Workflows and their Serverless Deployment Orchestration. - Lisa Raithel, Philippe Thomas, Roland Roller, Oliver Sapina, Sebastian Möller, Pierre Zweigenbaum:
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective. - Wentao Shi, Jing Xu, Pan Gao:
SSformer: A Lightweight Transformer for Semantic Segmentation. - Teruaki Akazawa, Yuma Kinoshita, Hitoshi Kiya:
Template matching with white balance adjustment under multiple illuminants. - Maximilian Fichtl, Matthias Oberlechner, Martin Bichler:
Computing Bayes Nash Equilibrium Strategies in Auction Games via Simultaneous Online Dual Averaging. - Emma Poliakova, Fraser Dempster, Abubakr Mahmood, Jonathan Grizou:
SmartControllerJS: A JavaScript library to turn smartphones into controllers for web-based interactive experiments. - Jary Pomponi, Simone Scardapane, Aurelio Uncini:
Centroids Matching: an efficient Continual Learning approach operating in the embedding space. - Ziyi Wang, Bo Lu, Yonghao Long, Fangxun Zhong, Tak Hong Cheung, Qi Dou, Yunhui Liu:
AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy. - Lorenzo Betti, Carlo Abrate, Andreas Kaltenbrunner:
Large scale analysis of gender bias and sexism in song lyrics. - A. Feder Cooper, Karen Levy:
Fast or Accurate? Governing Conflicting Goals in Highly Autonomous Vehicles. - Thijs Steel, Raf Vandebril, Julien Langou:
A new deflation criterion for the QZ algorithm. - Linda Lastrico, Luca Garello, Francesco Rea, Nicoletta Noceti, Fulvio Mastrogiovanni, Alessandra Sciutti, Alessandro Carfì:
Robots with Different Embodiments Can Express and Influence Carefulness in Object Manipulation. - Bharath Garigipati, Nataliya Strokina, Reza Ghabcheloo:
Evaluation and comparison of eight popular Lidar and Visual SLAM algorithms. - Rita Laezza, Yiannis Karayiannidis:
Learning Shape Control of Elastoplastic Deformable Linear Objects. - Tiankai Gu, Chaokun Wang, Cheng Wu, Jingcao Xu, Yunkai Lou, Changping Wang, Kai Xu, Can Ye, Yang Song:
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks. - Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross:
Efficient Fine-Tuning of Compressed Language Models with Learners. - Alex Falcon, Giuseppe Serra, Oswald Lanz:
A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval. - Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek:
Gradient descent provably escapes saddle points in the training of shallow ReLU networks. - Yuanbo Hou, Bo Kang, Dick Botteldooren:
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion. - Nikos Kostagiolas, Mihalis A. Nicolaou, Yannis Panagakis:
Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. - Elena Gaburro, Simone Chiocchetti:
High-order Arbitrary-Lagrangian-Eulerian schemes on crazy moving Voronoi meshes. - Martin Schwarzl, Erik Kraft, Daniel Gruss:
Layered Binary Templating: Efficient Detection of Compiler- and Linker-introduced Leakage. - Mhmood Radhi Hadi, Adnan Saher Mohammed:
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn: Futuristic Approach. - Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis:
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. - Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng:
MTGFlow: Unsupervised Multivariate Time Series Anomaly Detection via Dynamic Graph and Entity-aware Normalizing Flow. - Feng Dai, A. V. Prymak, A. Shadrin, Vladimir N. Temlyakov, Sergey Tikhonov:
On cardinality of the lower sets and universal discretization. - Ekrem Fatih Yilmazer, Delio Vicini, Wenzel Jakob:
Solving Inverse PDE Problems using Grid-Free Monte Carlo Estimators. - Tyler Ard, Bibin Pattel, Ardalan Vahidi, Hoseinali Borhan:
Considerate and Cooperative Model Predictive Control for Energy-Efficient Truck Platooning of Heterogeneous Fleets. - Diego Paez-Granados, Yujie He, David J. Gonon, Dan Jia, Bastian Leibe, Kenji Suzuki, Aude Billard:
Pedestrian-Robot Interactions on Autonomous Crowd Navigation: Reactive Control Methods and Evaluation Metrics. - Florian Frank, Wenjie Xiong, Nikolaos Athanasios Anagnostopoulos, André Schaller, Tolga Arul, Farinaz Koushanfar, Stefan Katzenbeisser, Ulrich Rührmair, Jakub Szefer:
Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. - Dany Haddad:
Noise tolerance of learning to rank under class-conditional label noise. - Gregory Stock, Juan A. Fraire, Holger Hermanns:
Distributed On-Demand Routing for LEO Mega-Constellations: A Starlink Case Study. - Dingding Cai, Janne Heikkilä, Esa Rahtu:
SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation. - Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. - Lars Patrick Hillebrand, Tobias Deußer, Tim Dilmaghani Khameneh, Bernd Kliem, Rüdiger Loitz, Christian Bauckhage, Rafet Sifa:
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports. - Benyuan Sun, Jin Dai, Zihao Liang, Congying Liu, Yi Yang, Bo Bai:
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning. - Chuhan Xu, Pablo Coen-Pirani, Xia Jiang:
Empirical Study of Overfitting in Deep FNN Prediction Models for Breast Cancer Metastasis. - Albert R. Jiang:
Finding a Lower Bound for k-Unbounded Hamiltonian Cycles. - Hannu Turtiainen, Andrei Costin, Timo Hämäläinen:
CCTV-Exposure: An open-source system for measuring user's privacy exposure to mapped CCTV cameras based on geo-location (Extended Version). - David Watkins-Valls:
Scrypt Mining with ASICs. - Tiange Li, Xiangyu Yang, Hao Wang:
A Screening Strategy for Structured Optimization Involving Nonconvex 𝓁q, p Regularization. - Saray Shai, Isaac Jacobs, Peter J. Mucha:
One Node at a Time: Node-Level Network Classification. - Ruiwen Dong:
On the Identity Problem and the Group Problem for subsemigroups of unipotent matrix groups. - Goksu Yamac, Carol O'Sullivan:
FauxThrow: Exploring the Effects of Incorrect Point of Release in Throwing Motions. - Peng Qi, Guangtao Wang, Jing Huang:
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. - Anichur Rahman, Antonio Montieri, Dipanjali Kundu, Md. Razaul Karim, Md. Jahidul Islam, Sara Umme, Alfredo Nascita, Antonio Pescapè:
On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives. - (Withdrawn) KD-SCFNet: Towards More Accurate and Efficient Salient Object Detection via Knowledge Distillation.
- Robert J. Piechocki, Xiaoyang Wang, Mohammud Junaid Bocus:
Multimodal sensor fusion in the latent representation space. - Gopalan Sajith, Sanjeev Saxena:
On Brooks' Theorem. - Eduardo C. Garrido-Merchán, Sara Lumbreras:
On the independence between phenomenal consciousness and computational intelligence. - Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto:
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples. - Haoyang Ma, Qingchao Shen, Yongqiang Tian, Junjie Chen, Shing-Chi Cheung:
HirFuzz: Detecting High-Level Optimization Bugs in DL Compilers via Computational Graph Generation. - Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu:
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. - Kévin Carrier, Thomas Debris-Alazard, Charles Meyer-Hilfiger, Jean-Pierre Tillich:
Statistical Decoding 2.0: Reducing Decoding to LPN. - Fivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Stavroulakis:
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games. - Navjot Kaur, Cheng-Chun Lee, Ali Mostafavi, Ali Mahdavi-Amiri:
DAHiTrA: Damage Assessment Using a Novel Hierarchical Transformer Architecture. - Brendan Hertel, Matthew Pelland, Seyed Reza Ahmadzadeh:
Robot Learning from Demonstration Using Elastic Maps. - Hailiang Liu, Xuping Tian:
SGEM: stochastic gradient with energy and momentum. - Michail Christos Doukas, Evangelos Ververas, Viktoriia Sharmanska, Stefanos Zafeiriou:
Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control. - Perfect Y. Gidisu, Michiel E. Hochstenbach:
Block Discrete Empirical Interpolation Methods. - Rahnuma Mahzabin, Fahim Hossain Sifat, Sadia Anjum, Al-Akhir Nayan, Muhammad Golam Kibria:
Blockchain associated machine learning and IoT based hypoglycemia detection system with auto-injection feature. - Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Sequence Model Imitation Learning with Unobserved Contexts. - Ali Aouad, Will Ma:
A Nonparametric Framework for Online Stochastic Matching with Correlated Arrivals. - Keyur Joshi, Chiao Hsieh, Sayan Mitra, Sasa Misailovic:
Estimating Uncertainty of Autonomous Vehicle Systems with Generalized Polynomial Chaos. - Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Saeed S. Jahromi, Samuel Palmer, Shivam Sharma, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Chi-Guhn Lee, Samuel Mugel, Roman Orus:
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. - Yehonatan Fridman, Re'em Harel, Gal Oren:
The Case for Non-Volatile RAM in Cloud HPCaaS. - Colin Topping, Ola Aleksandra Michalec, Awais Rashid:
Contrasting global approaches for identifying and managing cybersecurity risks in supply chains. - De-An Huang, Zhiding Yu, Anima Anandkumar:
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. - Qiyang Li, Ajay Jain, Pieter Abbeel:
AdaCat: Adaptive Categorical Discretization for Autoregressive Models. - Zijiang Yan, Hina Tabassum:
Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies. - Xiao Zhang, Hao Tan, Xuan Huang, Denghui Zhang, Keke Tang, Zhaoquan Gu:
Adversarial Attacks on ASR Systems: An Overview. - Sunkyu Yu, Namkyoo Park:
Heavy tails and pruning in programmable photonic circuits. - Benedict Yeoh, Huijuan Wang:
GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training. - Alberto Viale, Alberto Marchisio, Maurizio Martina, Guido Masera, Muhammad Shafique:
LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. - Thomas Kahl:
On the homology language of HDA models of transition systems. - Deborah Cohen, Moonkyung Ryu, Yinlam Chow, Orgad Keller, Ido Greenberg, Avinatan Hassidim, Michael Fink, Yossi Matias, Idan Szpektor, Craig Boutilier, Gal Elidan:
Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning. - Kousik Kumar Dutta, Ankita Dewan, Venkata M. V. Gunturi:
A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks. - Joe Clanin, Sourabh Bhattacharya:
Additive Security Games: Structure and Optimization. - Charles Lockie, Ioannis Mavromatis, Aleksandar Stanoev, Yichao Jin, George Oikonomou:
Securing Synchronous Flooding Communications: An Atomic-SDN Implementation. - Weiming Ren, Ruijing Zeng, Tongzi Wu, Tianshu Zhu, Rahul G. Krishnan:
HiCu: Leveraging Hierarchy for Curriculum Learning in Automated ICD Coding. - Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr:
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee? - Shuzhi Yu, Hannah Halin Kim, Shuai Yuan, Carlo Tomasi:
Unsupervised Flow Refinement near Motion Boundaries. - Sanket Shukla:
Design of secure and robust cognitive system for malware detection. - Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel:
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. - Kejia Ren, Lydia E. Kavraki, Kaiyu Hang:
Rearrangement-Based Manipulation via Kinodynamic Planning and Dynamic Planning Horizons. - Dominik Kuhnke, Monika Kwiatkowski, Olaf Hellwich:
Image-based Detection of Surface Defects in Concrete during Construction. - Steffen Bleher, Steve Heim, Sebastian Trimpe:
Learning Fast and Precise Pixel-to-Torque Control. - Wenceslao Shaw-Cortez, Ján Drgona, Aaron Tuor, Mahantesh Halappanavar, Draguna L. Vrabie:
Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach. - Nafiul Nipu, Carla Floricel, Negar Naghashzadeh, Roberto Paoli, G. Elisabeta Marai:
Visual Analysis and Detection of Contrails in Aircraft Engine Simulations. - Yuanyuan Tang, Shuche Wang, Hao Lou, Ryan Gabrys, Farzad Farnoud:
Low-redundancy codes for correcting multiple short-duplication and edit errors. - Nitpreet Bamra, Vikram Voleti, Alexander Wong, Jason Deglint:
Towards Generating Large Synthetic Phytoplankton Datasets for Efficient Monitoring of Harmful Algal Blooms. - Nada Sahlab, Hesham Kahoul, Nasser Jazdi, Michael Weyrich:
A Knowledge Graph-Based Method for Automating Systematic Literature Reviews. - Finlay Macklon, Mohammad Reza Taesiri, Markos Viggiato, Stefan Antoszko, Natalia Romanova, Dale Paas, Cor-Paul Bezemer:
Automatically Detecting Visual Bugs in HTML5 Games. - Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi:
Estimating Visual Information From Audio Through Manifold Learning. - Bowen Li, Thomas Lukasiewicz:
Word-Level Fine-Grained Story Visualization. - Sadeed Bin Sayed, Rui Chen, Hüseyin Arda Ülkü, Hakan Bagci:
A Time Domain Volume Integral Equation Solver to Analyze Electromagnetic Scattering from Nonlinear Dielectric Objects. - Qin Li, Xiao Huang, Pan Yan, Guozhuo Tan, Yi Duan, Yancheng You:
Improvements to enhance robustness of third-order scale-independent WENO-Z schemes. - Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series. - Lukasz Tulczyjew, Michal Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa:
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing. - (Withdrawn) Bayesian regularization of empirical MDPs.
- Soumyadeep Hore, Ankit Shah, Nathaniel D. Bastian:
Deep VULMAN: A Deep Reinforcement Learning-Enabled Cyber Vulnerability Management Framework. - Grace Guan, Mark Braverman:
Empirical Characteristics of Affordable Care Act Risk Transfer Payments. - Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Zhiyuan Wang, Guang Kou:
AACC: Asymmetric Actor-Critic in Contextual Reinforcement Learning. - Simon Guiroy, Christopher Pal, Gonçalo Mordido, Sarath Chandar:
Improving Meta-Learning Generalization with Activation-Based Early-Stopping. - Ivelisse Rubio, Jaziel Torres:
Multidimensional Costas Arrays and Their Periodicity. - Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Venkata Srinivas:
POMDP-based Handoffs for User-Centric Cell-Free MIMO Networks. - Victor Flavio de Andrade Araujo, Diogo Schaffer, Angelo Brandelli Costa, Soraia Raupp Musse:
Can gender categorization influence the perception of animated virtual humans? - Jingwei Ji, Renyuan Xu, Ruihao Zhu:
Risk-Aware Linear Bandits: Theory and Applications in Smart Order Routing. - Farhad Aghili:
Optimal Control of Legged-Robots Subject to Friction Cone Constraints. - Alexander G. Olenskyj, Brent S. Sams, Zhenghao Fei, Vishal Singh, Pranav V. Raja, Gail M. Bornhorst, J. Mason Earles:
End-to-end deep learning for directly estimating grape yield from ground-based imagery. - Caio da S. Dias, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich:
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. - Giang Ngo, Rodney Beard, Rohitash Chandra:
Evolutionary bagging for ensemble learning. - Vilém Zouhar, Marius Mosbach, Dietrich Klakow:
Fusing Sentence Embeddings Into LSTM-based Autoregressive Language Models. - M. Rasel Mahmud, Michael Stewart, Alberto Cordova, John Quarles:
Vibrotactile Feedback to Make Real Walking in Virtual Reality More Accessible. - Jose Miguel Arrieta Ramos, Oscar J. Perdomo, Fabio A. González:
Deep Semi-Supervised and Self-Supervised Learning for Diabetic Retinopathy Detection. - Sandeep S. Kulkarni, Duong N. Nguyen, Lewis Tseng, Nitin H. Vaidya:
Impact of the Consistency Model on Checkpointing of Distributed Shared Memory. - Libei Sun, Xiucai Huang, Yongduan Song:
Distributed Event-triggered Control of Networked Strict-feedback Systems Via Intermittent State Feedback. - MyeongAh Cho, Tae-Young Chung, Taeoh Kim, Sangyoun Lee:
NIR-to-VIS Face Recognition via Embedding Relations and Coordinates of the Pairwise Features. - Jiufang Chen, Ye Yuan:
Adaptive Latent Factor Analysis via Generalized Momentum-Incorporated Particle Swarm Optimization. - Xuting Tang, Jia Xu, Shusen Wang:
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents. - Mohamed Mohsen Ahmed:
A Comparison of SOR, ADI and Multigrid Methods for Solving Partial Differential Equations. - Fabian Mora Cordero:
Designing and developing tools to automatically identify parallelism. - Ali Borji:
A New Kind of Adversarial Example. - Qinghui Zhang, Weidong Li, Xuejie Zhang:
A Primal-Dual Based Power Control Approach for Capacitated Edge Servers. - Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh-Hung Nguyen, Phi Le Nguyen:
Image-based Contextual Pill Recognition with Medical Knowledge Graph Assistance. - Yuxin Pan, Fangzhen Lin:
Backward Imitation and Forward Reinforcement Learning via Bi-directional Model Rollouts. - Ming Cheng, Yiling Xu, Wang Shen, M. Salman Asif, Chao Ma, Jun Sun, Zhan Ma:
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System. - Eduardo Espíndola, Yu Tang:
Attitude Tracking for Rigid Bodies Using Vector and Biased Gyro Measurements. - Vaibhav Krishna, Nino Antulov-Fantulin:
Simplifying Sparse Expert Recommendation by Revisiting Graph Diffusion. - Min-Gyeom Kim, Kwang-Ki K. Kim:
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots. - Nang Hung Nguyen, Phi Le Nguyen, Duc Long Nguyen, Trung Thanh Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Truong Thao Nguyen:
FedDRL: Deep Reinforcement Learning-based Adaptive Aggregation for Non-IID Data in Federated Learning. - Branko Ristic, Alessio Benavoli, Sanjeev Arulampalam:
Credal Valuation Networks for Machine Reasoning Under Uncertainty. - Ayesha Siddiqua, Muhammad Ashad Kabir, Tanzina Ferdous, Israt Bintea Ali, Leslie A. Weston:
Evaluating Plant Disease Detection Mobile Applications: Quality and Limitations. - Xiao Mao, Guohua Wu, Mingfeng Fan:
DL-DRL: A double-layer deep reinforcement learning approach for large-scale task scheduling of multi-UAV. - Jun Xiao, Qian Ye, Tianshan Liu, Cong Zhang, Kin-Man Lam:
Multi-scale Sampling and Aggregation Network For High Dynamic Range Imaging. - Xinyu Lin, Jinxing Li, Zeyu Ma, Huafeng Li, Shuang Li, Kaixiong Xu, Guangming Lu, David Zhang:
Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification. - Yi Xin Lim, Weiyu Zhang:
Examining the Impact of Source-product Congruence and Sponsorship Disclosure on the Communicative Effectiveness of Instagram Influencers. - Sudhakar Kumawat, Hajime Nagahara:
Privacy-Preserving Action Recognition via Motion Difference Quantization. - Ruolin Su, Ting-Wei Wu, Biing-Hwang Juang:
Act-Aware Slot-Value Predicting in Multi-Domain Dialogue State Tracking. - Rohan Kumar Gupta, Rohit Sinha:
Exploring the Role of Emotion Regulation Difficulties in the Assessment of Mental Disorders. - Chen Cao, Biqian Feng, Yongpeng Wu, Derrick Wing Kwan Ng, Wenjun Zhang:
Linear MIMO Precoders Design for Finite Alphabet Inputs via Model-Free Training. - Valérie Gillot, Philippe Langevin:
Classification of Boolean functions. - Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam:
Online Video Super-Resolution with Convolutional Kernel Bypass Graft. - Geonho Han, Junil Choi, Robert W. Heath Jr.:
Radar Imaging Based on IEEE 802.11ad Waveform in V2I Communications. - Tzvi Diskin, Yiftach Beer, Uri Okun, Ami Wiesel:
CFARnet: deep learning for target detection with constant false alarm rate. - Miroslav Vorechovský:
Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces. - Peize Zhang, Pekka Kyösti, Katsuyuki Haneda, Pasi Koivumäki, Wei Fan:
On the Feasibility of Out-of-Band Spatial Channel Information for Millimeter-Wave Beam Search. - Jincheng Dai, Ping Zhang, Kai Niu, Sixian Wang, Zhongwei Si, Xiaoqi Qin:
Communication Beyond Transmitting Bits: Semantics-Guided Source and Channel Coding. - Jonghu Jeong, Minyong Cho, Philipp Benz, Jinwoo Hwang, Jeewook Kim, Seungkwan Lee, Tae-Hoon Kim:
Privacy Safe Representation Learning via Frequency Filtering Encoder. - Hanwen Kang, Xing Wang:
Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards. - Chaeyoon Jeong, Sundong Kim, Jaewoo Park, Yeonsoo Choi:
Customs Import Declaration Datasets. - Neeru Dubey, Shreya Ghosh, Abhinav Dhall:
RAZE: Region Guided Self-Supervised Gaze Representation Learning. - Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam:
Smartphone Apps for Tracking Food Consumption and Recommendations: Evaluating Artificial Intelligence-based Functionalities, Features and Quality of Current Apps. - Stefano Kalonaris:
Tokyo Kion-On: Query-Based Generative Sonification of Atmospheric Data. - Takehide Soh, Yoshio Okamoto, Takehiro Ito:
Core Challenge 2022: Solver and Graph Descriptions. - Farnoud Ghasemi, Rafal Kucharski:
Modelling the Rise and Fall of Two-Sided Mobility Markets with Microsimulation. - Jose González-Abad, Álvaro López García, Valentin Y. Kozlov:
A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters. - Karen Li, Kopo M. Ramokapane, Awais Rashid:
"Yeah, it does have a...Windows '98 Vibe": Usability Study of Security Features in Programmable Logic Controllers. - Jiaqi Zou, Rui Liu, Chenwei Wang, Yuanhao Cui, Zixuan Zou, Songlin Sun, Koichi Adachi:
Aiming in Harsh Environments: A New Framework for Flexible and Adaptive Resource Management. - Tagir Muslimov:
Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss. - Usman Akhtar, Rafal Kucharski:
Exploring Computational Complexity Of Ride-Pooling Problems. - Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane:
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. - Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan van Gemert:
Heart rate estimation in intense exercise videos. - Jinli Li, Ye Yuan:
A Nonlinear PID-Enhanced Adaptive Latent Factor Analysis Model. - Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang:
Fine-Grained Semantically Aligned Vision-Language Pre-Training. - Kang You, Pan Gao, Qing Li:
IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression. - Ajinkya Gaikwad, Soumen Maity:
Parameterized Complexity of Upper Edge Domination. - Hsiang-Ting Chen, Yuan Zhang, Gustavo Carneiro, Seon-Ho Shin, Rajvinder Singh:
Toward a Human-Centered AI-assisted Colonoscopy System. - Joakim Blikstad, Jan van den Brand, Yuval Efron, Sagnik Mukhopadhyay, Danupon Nanongkai:
Nearly Optimal Communication and Query Complexity of Bipartite Matching. - Robbie Holland, Oliver Leingang, Hrvoje Bogunovic, Sophie Riedl, Lars Fritsche, Toby Prevost, Hendrik P. N. Scholl, Ursula Schmidt-Erfurth, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Martin J. Menten:
Metadata-enhanced contrastive learning from retinal optical coherence tomography images. - Da Ren, Qing Li:
A Representation Modeling Based Language GAN with Completely Random Initialization. - Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang:
Prompt Tuning for Generative Multimodal Pretrained Models. - Chenjie Cao, Xinlin Ren, Yanwei Fu:
MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth. - Vladislav D. Mosin, Ivan P. Yamshchikov:
Vocabulary Transfer for Medical Texts. - Zheng Qi, AprilPyone MaungMaung, Hitoshi Kiya:
Privacy-Preserving Image Classification Using ConvMixer with Adaptive Permutation Matrix. - En Xu, Tao Zhou, Zhiwen Yu, Zhuo Sun, Bin Guo:
Equivalence between Time Series Predictability and Bayes Error Rate. - Rebekka V. Woldseth, Niels Aage, Jakob Andreas Bærentzen, Ole Sigmund:
On the use of Artificial Neural Networks in Topology Optimisation. - Jooyoung Seo, Mine Dogucu:
Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations. - Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu:
Constructing Balance from Imbalance for Long-tailed Image Recognition. - Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas A. Runkler:
Neuro-symbolic computing with spiking neural networks. - Andreas Scalas:
Report on the software "SemanticModellingFramework". - Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. - Fatih Emre Simsek, Cevahir Cigla, Koray Kayabol:
SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset. - Syed Imtiaz Ahamed, Vadlamani Ravi:
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption. - Maximilian Böther, Otto Kißig, Christopher Weyand:
Efficiently Computing Directed Minimum Spanning Trees. - Jaimandeep Singh, Chintan Patel, Naveen Kumar Chaudhary:
Design Considerations and Architecture for a Resilient Risk based Adaptive Authentication and Authorization (RAD-AA) Framework. - Belkacem Zouilekh, Sadek Bouroubi:
Hybrid cuckoo search algorithm for the minimum dominating set problem. - Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein:
AG2U - Autonomous Grading Under Uncertainties. - Anil Kanduri, Sina Shahhosseini, Emad Kasaeyan Naeini, Hamidreza Alikhani, Pasi Liljeberg, Nikil D. Dutt, Amir M. Rahmani:
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications. - Jadson Santos, Daniel Alencar da Costa, Uirá Kulesza:
Investigating the Impact of Continuous Integration Practices on the Productivity and Quality of Open-Source Projects. - Daniel Kressner, Bart Vandereycken, Rik Voorhaar:
Streaming Tensor Train Approximation. - Felipe Albuquerque Portella, David Buchaca Prats, José Roberto Pereira Rodrigues, Josep Lluís Berral:
TunaOil: A Tuning Algorithm Strategy for Reservoir Simulation Workloads. - Sattarov Otabek, Jaeyoung Choi:
Twitter Attribute Classification with Q-Learning on Bitcoin Price Prediction. - Zhenqiang Li, Lin Gu, Weimin Wang, Ryosuke Nakamura, Yoichi Sato:
Surgical Skill Assessment via Video Semantic Aggregation. - Yongkun Liu, Kesong Ni, Yuhan Zhang, Lijian Zhou, Kun Zhao:
Semantic Interleaving Global Channel Attention for Multilabel Remote Sensing Image Classification. - Victor Mayoral Vilches, Ruffin White, Gianluca Caiazza, Mikael Arguedas:
SROS2: Usable Cyber Security Tools for ROS 2. - Xi Xie, Sihem Mesnager, Nian Li, Debiao He, Xiangyong Zeng:
On the Niho type locally-APN power functions and their boomerang spectrum. - Johan Linåker, Patrick Rempel, Björn Regnell, Patrick Mäder:
How Firms Adapt and Interact in Open Source Ecosystems: Analyzing Stakeholder Influence and Collaboration Patterns. - Johan Linåker, Krzysztof Wnuk:
Requirements Analysis and Management for Benefiting Openness. - Johan Linåker, Björn Regnell:
A Contribution Management Framework for Firms Engaged in Open Source Software Ecosystems - A Research Preview. - Yi Heng Lim, Muhammad Firmansyah Kasim:
Unifying physical systems' inductive biases in neural ODE using dynamics constraints. - Maximilian Fichtl:
Computing Candidate Prices in Budget-Constrained Product-Mix Auctions. - Virginia N. L. Franqueira, Jessica A. Annor, Özgür Kafali:
Age Appropriate Design: Assessment of TikTok, Twitch, and YouTube Kids. - Pierre Fraigniaud, Pedro Montealegre, Pablo Paredes, Ivan Rapaport, Martín Ríos-Wilson, Ioan Todinca:
Computing Power of Hybrid Models in Synchronous Networks. - Xiaoru Gao, Guoyan Zheng:
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion. - Ahmad Naghavi, Mohammad Sadegh Fazel, Mojtaba Beheshti, Ehsan Yazdian:
A Sequential MUSIC algorithm for Scatterers Detection 2 in SAR Tomography Enhanced by a Robust Covariance 3 Estimator. - Bonan Li, Yinhan Hu, Xuecheng Nie, Congying Han, Xiangjian Jiang, Tiande Guo, Luoqi Liu:
DropKey. - (Withdrawn) Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series.
- Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri:
Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search. - Tinghui Chen, Shuai Li, Hao Wu:
A novel robot calibration method with plane constraint based on dial indicator. - Ashish Kumar, Vasundhra Dahiya, Aditi Sharan:
ATP: A holistic attention integrated approach to enhance ABSA. - Hossein Esmaeili, Ali Kariminezhad, Aydin Sezgin:
Robust Transceiver Design for IRS-Assisted Cascaded MIMO Systems. - Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer:
Invariant Representations with Stochastically Quantized Neural Networks. - Qihan Yang, Fan Feng, Rosa H. M. Chan:
A Benchmark and Empirical Analysis for Replay Strategies in Continual Learning. - Jesper Nederlof, Céline M. F. Swennenhuis, Karol Wegrzycki:
Makespan Scheduling of Unit Jobs with Precedence Constraints in O(1.995n) time. - Quanling Deng, Pouria Behnoudfar, Victor M. Calo:
SoftIGA: soft isogeometric analysis. - Tobias Runge, Alexander Kittelmann, Marco Servetto, Alex Potanin, Ina Schaefer:
Information Flow Control-by-Construction for an Object-Oriented Language Using Type Modifiers. - Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen:
Monte-Carlo Robot Path Planning. - Anjali Sonkariya, Awadh Pratap Singh, Shiv Prasad Yadav:
Development of fully intuitionistic fuzzy data envelopment analysis model with missing data: an application to Indian police sector. - Xianghui Yang, Guosheng Lin, Luping Zhou:
ZeroMesh: Zero-shot Single-view 3D Mesh Reconstruction. - Xufeng Zhao, Cornelius Weber, Muhammad Burhan Hafez, Stefan Wermter:
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and Explorations. - Mohamed Benzaghta, Giovanni Geraci, Rasoul Nikbakht, David López-Pérez:
UAV Communications in Integrated Terrestrial and Non-terrestrial Networks. - Yuliya Lierler, José F. Morales, Carmine Dodaro, Verónica Dahl, Martin Gebser, K. Tuncay Tekle:
Proceedings 38th International Conference on Logic Programming, ICLP 2022 Technical Communications / Doctoral Consortium, Haifa, Israel, 31st July 2022 - 6th August 2022. EPTCS 364, 2022 [contents] - Carlo Bono, Mehmet Oguz Mülâyim, Cinzia Cappiello, Mark J. Carman, Jesús Cerquides, Jose Luis Fernandez-Marquez, Rosy Mondardini, Edoardo Ramalli, Barbara Pernici:
Analyzing social media with crowdsourcing in Crowd4SDG. - Alexander Kozachinskiy:
Infinite Separation between General and Chromatic Memory. - Guilherme Pereira Bento Garcia, Carlos Henrique Grohmann, Lucas Pedrosa Soares, Mateus Espadoto:
Relict landslide detection in rainforest areas using a combination of k-means clustering algorithm and Deep-Learning semantic segmentation models. - José Emilio Labra Gayo:
WShEx: A language to describe and validate Wikibase entities. - Ayoosh Bansal, Anant Kandikuppa, Chien-Ying Chen, Monowar Hasan, Adam Bates, Sibin Mohan:
Ellipsis: Towards Efficient System Auditing for Real-Time Systems. - Ralf Ramsauer, Stefan Huber, Konrad Schwarz, Jan Kiszka, Wolfgang Mauerer:
Static Hardware Partitioning on RISC-V - Shortcomings, Limitations, and Prospects. - Afonso Eduardo, Michael U. Gutmann:
Bayesian Optimization with Informative Covariance. - Huajian Huang, Yingshu Chen, Tianjian Zhang, Sai-Kit Yeung:
360Roam: Real-Time Indoor Roaming Using Geometry-Aware 360𝓁 Radiance Fields. - Amogh Joshi, Dario Guevara, Mason Earles:
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models. - Yao-Chih Lee, Kuan-Wei Tseng, Guan-Sheng Chen, Chu-Song Chen:
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time Training. - Tahir Hassan, Aras Asaad, Dashti Ali, Sabah Jassim:
Artificial Image Tampering Distorts Spatial Distribution of Texture Landmarks and Quality Characteristics. - Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Agnostic Learning of General ReLU Activation Using Gradient Descent. - Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei:
UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration. - Rodrigo Raya, Jad Hamza, Viktor Kuncak:
NP Decision Procedure for Monomial and Linear Integer Constraints. - Saghar Bagheri, Chinthaka Dinesh, Gene Cheung, Timothy Eadie:
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction. - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov, Magnus Wahlström:
Almost Consistent Systems of Linear Equations. - Michael Cash, Christopher Morales, Shan Wang, Xipeng Jin, Alex Parlato, Qun Zhou Sun, Xinwen Fu:
On False Data Injection Attack against Building Automation Systems. - Felipe Ortega, María Jesús Algar, Isaac Martín de Diego, Javier M. Moguerza:
Unconventional application of k-means for distributed approximate similarity search. - Mojtaba Nayyeri, Zihao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md. Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab:
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces. - Zhangzi Zhu, Yu Hao, Wenqing Zhang, Chuhui Xue, Song Bai:
Runner-Up Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition. - Péter Györgyi, Tamás Kis, Tímea Tamási:
An online joint replenishment problem combined with single machine scheduling. - Rishabh Dudeja, Subhabrata Sen, Yue M. Lu:
Spectral Universality of Regularized Linear Regression with Nearly Deterministic Sensing Matrices. - Jinchao Feng, Mauro Maggioni, Patrick Martin, Ming Zhong:
Learning Interaction Variables and Kernels from Observations of Agent-Based Systems. - Jingyu Jia, Zikai Alex Wen, Zheli Liu, Changyu Dong:
New Differential Privacy Communication Pipeline and Design Framework. - Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso, Messaoud Bengherabi, Abderaouf Bousnat, Sana Boucheta, Nesrine Hebbadj, Mustafa Ekrem Erakin, Ugur Demir, Hazim Kemal Ekenel, Pedro Beber de Queiroz Vidal, David Menotti:
OCFR 2022: Competition on Occluded Face Recognition From Synthetically Generated Structure-Aware Occlusions. - Yiyou Sun, Yixuan Li:
Open-world Contrastive Learning. - Jingyi Wang, Shengchen Li:
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers. - Sushmita Gupta, Pallavi Jain, Sanjay Seetharaman:
More Effort Towards Multiagent Knapsack. - Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan:
Parabolic PDE-constrained optimal control under uncertainty with entropic risk measure using quasi-Monte Carlo integration. - Jiazhen Liu, Lifeng Zhou, Ragesh K. Ramachandran, Gaurav S. Sukhatme, Vijay Kumar:
Decentralized Risk-Aware Tracking of Multiple Targets. - Nicolás A. Barnafi, Franco Dassi, Simone Scacchi:
Parallel block preconditioners for virtual element discretizations of the time-dependent Maxwell equations. - Ping Xu, Yue Wang, Xiang Chen, Zhi Tian:
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM. - Xuyang Lou, Yuchun Li, Ricardo G. Sanfelice:
Notions, Stability, Existence, and Robustness of Limit Cycles in Hybrid Systems. - Khabat Soltanian, Ali Ebnenasir, Mohsen Afsharchi:
Modular Grammatical Evolution for the Generation of Artificial Neural Networks. - Matus Telgarsky:
Feature selection with gradient descent on two-layer networks in low-rotation regimes. - Hanlin Chen, Brian Liu, Xumiao Zhang, Feng Qian, Z. Morley Mao, Yiheng Feng:
A Cooperative Perception Environment for Traffic Operations and Control. - Dora Zhao, Mikako Inaba, Andrés Monroy-Hernández:
Understanding Teenage Perceptions and Configurations of Privacy on Instagram. - Yuexin Ma, Tai Wang, Xuyang Bai, Huitong Yang, Yuenan Hou, Yaming Wang, Yu Qiao, Ruigang Yang, Dinesh Manocha, Xinge Zhu:
Vision-Centric BEV Perception: A Survey. - Yinbo Chen, Xiaolong Wang:
Transformers as Meta-Learners for Implicit Neural Representations. - Liliane Momeni, Hannah Bull, K. R. Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman:
Automatic dense annotation of large-vocabulary sign language videos. - Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li:
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. - Tarun Kalluri, Manmohan Chandraker:
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels. - Humberto Carvalho, Pavel Zaykov, Asim Ukaye:
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution. - Jônata Tyska Carvalho, Stefano Nolfi:
The Role of Environmental Variations in Evolutionary Robotics: Maximizing Performance and Robustness. - Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan:
Analyzing Data-Centric Properties for Contrastive Learning on Graphs. - Aymeric Blot, Justyna Petke:
MAGPIE: Machine Automated General Performance Improvement via Evolution of Software. - Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu:
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting. - Zixiang Chen, Yihe Deng, Yue Wu, Quanquan Gu, Yuanzhi Li:
Towards Understanding Mixture of Experts in Deep Learning. - Marco Edoardo Palma, Pasquale Salza, Harald C. Gall:
On-the-Fly Syntax Highlighting using Neural Networks. - Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling:
Expanding Language-Image Pretrained Models for General Video Recognition. - Xiaoming Zhao, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing:
Occupancy Planes for Single-view RGB-D Human Reconstruction. - Ramit Pahwa:
Model Blending for Text Classification. - Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao:
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. - Manh Hung Nguyen, Lisheng Sun, Nathan Grinsztajn, Isabelle Guyon:
Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. - Mushuang Liu, H. Eric Tseng, Dimitar P. Filev, Anouck Girard, Ilya V. Kolmanovsky:
Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach. - Mark A. Musen, Martin J. O'Connor, Erik Schultes, Marcos Martínez Romero, Josef Hardi, John B. Graybeal:
Modeling community standards for metadata as templates makes data FAIR. - Tyler Cody, Niloofar Shadab, Alejandro Salado, Peter A. Beling:
Core and Periphery as Closed-System Precepts for Engineering General Intelligence. - Malathi Murugesan, Kanika Goyal, Laure Barriere, Maura Pasquotti, Giacomo Veneri, Giovanni De Magistris:
Deep Surrogate of Modular Multi Pump using Active Learning. - Subhankar Ghosh, Prasun Roy, Saumik Bhattacharya, Umapada Pal, Michael Blumenstein:
TIC: Text-Guided Image Colorization. - Esther Galby, Dániel Marx, Philipp Schepper, Roohani Sharma, Prafullkumar Tale:
Domination and Cut Problems on Chordal Graphs with Bounded Leafage. - Faris Almalik, Mohammad Yaqub, Karthik Nandakumar:
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification. - Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid:
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools. - Satyavrat Wagle, Seyyedali Hosseinalipour, Naji Khosravan, Mung Chiang, Christopher G. Brinton:
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange. - Surudhi Asokraj, Tommaso Bianchi, Alessandro Brighente, Mauro Conti, Radha Poovendran:
Identity-Based Authentication for On-Demand Charging of Electric Vehicles. - Xingyu Lyu, Mengya Zhang, Xiaokuan Zhang, Jianyu Niu, Yinqian Zhang, Zhiqiang Lin:
An Empirical Study on Ethereum Private Transactions and the Security Implications. - Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Rongliang Wu, Xiaoqin Zhang, Shijian Lu:
Latent Multi-Relation Reasoning for GAN-Prior based Image Super-Resolution. - Anita Dürr:
Improved Bounds for Rectangular Monotone Min-Plus Product. - Lilas Alrahis, Johann Knechtel, Florian Klemme, Hussam Amrouch, Ozgur Sinanoglu:
GNN4REL: Graph Neural Networks for Predicting Circuit Reliability Degradation. - Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved post-hoc probability calibration for out-of-domain MRI segmentation. - Sonia Martin, Simona Onori, Ram Rajagopal:
Effect of State of Charge Uncertainty on Battery Energy Storage Systems. - Steven J. Murdoch, Aydin Abadi:
A Forward-secure Efficient Two-factor Authentication Protocol. - Fan Yang, Qizhang Feng, Kaixiong Zhou, Jiahao Chen, Xia Hu:
Differentially Private Counterfactuals via Functional Mechanism. - Wenxuan Wu, Qi Shan, Fuxin Li:
PointConvFormer: Revenge of the Point-based Convolution. - Minoo Jafarlou, Omid Mahdi Ebadati E., Hassan Naderi:
Improving Fuzzy-Logic based Map-Matching Method with Trajectory Stay-Point Detection. - Joshua Hovanes, Yadi Zhong, Ujjwal Guin:
Beware of Discarding Used SRAMs: Information is Stored Permanently. - Nicolaas Kaashoek, Robert Morris:
CheckSync: Using Runtime-Integrated Checkpoints to Achieve High Availability}. - Zilin Si, Zirui Zhu, Arpit Agarwal, Stuart Anderson, Wenzhen Yuan:
Grasp Stability Prediction with Sim-to-Real Transfer from Tactile Sensing. - Zhiyu Lin, Rohan Agarwal, Mark O. Riedl:
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings. - Julian Kates-Harbeck, Martin Nowak:
Trust based attachment. - Zhipeng Du, Miaojing Shi, Jiankang Deng, Stefanos Zafeiriou:
Redesigning Multi-Scale Neural Network for Crowd Counting. - Neha Hulkund, Nicolò Fusi, Jennifer Wortman Vaughan, David Alvarez-Melis:
Interpretable Distribution Shift Detection using Optimal Transport. - Marshall Rawson, Michael G. Rawson:
Petri Nets for Concurrent Programming. - Bingde Liu:
Learning the Trading Algorithm in Simulated Markets with Non-stationary Continuum Bandits. - Aloni Cohen, Sarah Scheffler, Mayank Varia:
Can the Government Compel Decryption? Don't Trust - Verify. - Giuseppe Emanuele Lio, Sara Nocentini, Lorenzo Pattelli, Eleonora Cara, Diederik Sybolt Wiersma, Ulrich Rührmair, Francesco Riboli:
Quantifying the Sensitivity and Unclonability of Optical Physical Unclonable Functions. - Yangfan Li, Ye Lu, Abdullah Al Amin, Wing Kam Liu:
Stochastic additive manufacturing simulation: from experiment to surface roughness and porosity prediction. - Tan Zhi-Xuan, Nishad Gothoskar, Falk Pollok, Dan Gutfreund, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Solving the Baby Intuitions Benchmark with a Hierarchically Bayesian Theory of Mind. - Ethan Witwer, James K. Holland, Nicholas Hopper:
Padding-only defenses add delay in Tor. - Arthur Bucker, Luis F. C. Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti:
LaTTe: Language Trajectory TransformEr. - Franck Cassez, Joanne Fuller, Horacio Mijail Anton Quiles:
Deductive Verification of Smart Contracts with Dafny. - Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang:
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization. - Yuxiao Huang, Yan Ma:
CIGAN: A Python Package for Handling Class Imbalance using Generative Adversarial Networks. - Yilei Zeng, Jiali Duan, Yang Li, Emilio Ferrara, Lerrel Pinto, C.-C. Jay Kuo, Stefanos Nikolaidis:
Human Decision Makings on Curriculum Reinforcement Learning with Difficulty Adjustment. - Wentao Kang, Guijun Zhang, Xiao Fu:
A Noise-Robust Loss for Unlabeled Entity Problem in Named Entity Recognition. - Igor Borovikov, Karine Levonyan, Jon Rein, Pawel Wrotek, Nitish Victor:
Applied monocular reconstruction of parametric faces with domain engineering. - Lili Wang, Ji Liu, A. Stephen Morse:
A Hybrid Observer for Estimating the State of a Distributed Linear System. - Tan Zhi-Xuan, Joshua B. Tenenbaum, Vikash K. Mansinghka:
Abstract Interpretation for Generalized Heuristic Search in Model-Based Planning. - Zhijie Qiao, Xiatao Sun, Helen Loeb, Rahul Mangharam:
Drive Right: Shaping Public's Trust, Understanding, and Preference Towards Autonomous Vehicles Using a Virtual Reality Driving Simulator. - Rundi Wu, Changxi Zheng:
Learning to Generate 3D Shapes from a Single Example. - Tong Xu, Wu Ning, Chunyan Lyu, Kejun Wang:
Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation. - Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha:
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. - Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad, Ahmed Dawoud, Tarik A. Rashid, Omar Hisham Alsadoon:
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices. - Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu:
ZLPR: A Novel Loss for Multi-label Classification. - Steven T. Piantadosi, Felix Hill:
Meaning without reference in large language models. - Qi Zhang, Zijian Yang, Yilun Huang, Ze Chen, Zijian Cai, Kangxu Wang, Jiewen Zheng, Jiarong He, Jin Gao:
A Semantic Alignment System for Multilingual Query-Product Retrieval. - Junjie Wang, Yuxiang Zhang, Ping Yang, Ruyi Gan:
Towards No.1 in CLUE Semantic Matching Challenge: Pre-trained Language Model Erlangshen with Propensity-Corrected Loss. - Fuya Luo, Yijun Cao, Kai-Fu Yang, Yong-Jie Li:
Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization. - Yongxiang Tang, Wentao Bai, Guilin Li, Xialong Liu, Yu Zhang:
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems. - Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao:
An Efficient Person Clustering Algorithm for Open Checkout-free Groceries. - Jiashu Wu, Yang Wang, Xiaopeng Fan, Kejiang Ye, Chengzhong Xu:
Towards Fast Theta-join: A Prefiltering and Amalgamated Partitioning Approach. - Pan Zhao, Ilya V. Kolmanovsky, Naira Hovakimyan:
Integrated Adaptive Control and Reference Governors for Constrained Systems with State-Dependent Uncertainties. - Jiashu Wu, Jingpan Xiong, Hao Dai, Yang Wang, Chengzhong Xu:
MIX-RS: A Multi-indexing System based on HDFS for Remote Sensing Data Storage. - Huili Xing:
Covariant-Contravariant Refinement Modal μ-calculus. - Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn:
Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks. - Ajinkya Gaikwad, Soumen Maity:
Offensive Alliances in Graphs. - Jingtao Tang, Yuan Gao, Tin Lun Lam:
Learning to Coordinate for a Worker-Station Multi-robot System in Planar Coverage Tasks. - Carlo Janna, Andrea Franceschini, Jacob B. Schroder, Luke N. Olson:
Parallel Energy-Minimization Prolongation for Algebraic Multigrid. - Chengliang Liu, Zhihao Wu, Jie Wen, Chao Huang, Yong Xu:
Localized Sparse Incomplete Multi-view Clustering. - Ertem Nusret Tas, Dan Boneh:
Cryptoeconomic Security for Data Availability Committees. - Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan:
A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. - Ruining Tang, Zhenyu Liu, Yangguang Li, Yiguo Song, Hui Liu, Qide Wang, Jing Shao, Guifang Duan, Jianrong Tan:
Task-Balanced Distillation for Object Detection. - Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo:
TransMatting: Enhancing Transparent Objects Matting with Transformers. - Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu:
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution. - Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita:
Phrase translation using a bilingual dictionary and n-gram data: A case study from Vietnamese to English. - Takeaki Kadota, Hideaki Hayashi, Ryoma Bise, Kiyohito Tanaka, Seiichi Uchida:
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data. - Ailing Zhong, Zhidu Li, Tong Tang, Dapeng Wu, Ruyan Wang, Yuming Jiang:
A Probabilistic Bound for Peak Age of Information Guarantee. - Angjela Davitkova, Damjan Gjurovski, Sebastian Michel:
Compressing (Multidimensional) Learned Bloom Filters. - Bingning Wang, Feiyang Lv, Ting Yao, Yiming Yuan, Jin Ma, Yu Luo, Haijin Liang:
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding. - Anish Gupta, Arun Kumar Singh, K. Madhava Krishna:
Leveraging Distributional Bias for Reactive Collision Avoidance under Uncertainty: A Kernel Embedding Approach. - SeulGi Hong, Min-Kook Choi:
Blockwise Temporal-Spatial Pathway Network. - Nicolas Amat, Silvano Dal-Zilio, Thomas Hujsa:
Property Directed Reachability for Generalized Petri Nets. - Jia Li, Ziyang Zhang, Junjie Lang, Yueqi Jiang, Liuwei An, Peng Zou, Yangyang Xu, Sheng Gao, Jie Lin, Chunxiao Fan, Xiao Sun, Meng Wang:
Hybrid Multimodal Feature Extraction, Mining and Fusion for Sentiment Analysis. - Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu:
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition. - Zichao Xiao, Rang Liu, Ming Li, Yang Liu, Qian Liu:
Joint Beamforming Design in DFRC Systems for Wideband Sensing and OFDM Communications. - Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. - Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim:
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting. - Christian Fröhlich, Robert C. Williamson:
Tailoring to the Tails: Risk Measures for Fine-Grained Tail Sensitivity. - Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim:
Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning. - Jianan Bai, Erik G. Larsson:
Activity Detection in Distributed MIMO: Distributed AMP via Likelihood Ratio Fusion. - Maximilian J. Grill, Wolfgang A. Wall, Christoph Meier:
Analytical disk-cylinder interaction potential laws for the computational modeling of adhesive, deformable (nano)fibers. - Tien-Cuong Bui, Wen-Syan Li, Sang-Kyun Cha:
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes. - Matias Quintana, Stefano Schiavon, Federico Tartarini, Joyce Kim, Clayton Miller:
Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data. - Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei:
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation. - Yizhak Yisrael Elboher, Elazar Cohen, Guy Katz:
Neural Network Verification using Residual Reasoning. - Alessandro Maria Poirè, Federico Simonetta, Stavros Ntalampiras:
Deep Feature Learning for Medical Acoustics. - Spencer Killen, Jia-Huai You:
A Fixpoint Characterization of Three-Valued Disjunctive Hybrid MKNF Knowledge Bases. 51-64 - Joachim Niehren, Sylvain Salvati, Rustam Azimov:
Jumping Evaluation of Nested Regular Path Queries. 79-92 - Simon Marynissen, Bart Bogaerts:
Tree-Like Justification Systems are Consistent. 1-11 - Zach Hansen, Hanxiang Du, Wanli Xing, Rory Eckel, Justin Lugo, Yuanlin Zhang:
A Preliminary Data-driven Analysis of Common Errors Encountered by Novice SPARC Programmers. 12-24 - Ho Tuan Dung, Tran Cao Son:
On Model Reconciliation: How to Reconcile When Robot Does not Know Human's Model? 27-48 - Marco Alberti, Riccardo Zese, Fabrizio Riguzzi, Evelina Lamma:
An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols. 65-78 - Paul Tarau:
A Gaze into the Internal Logic of Graph Neural Networks, with Logic. 93-106 - Yuheng Wang, Giorgian Borca-Tasciuc, Nikhil Goel, Paul Fodor, Michael Kifer:
Knowledge Authoring with Factual English. 107-122 - Alice Tarzariol:
A Model-Oriented Approach for Lifting Symmetries in Answer Set Programming. 200-210 - Zach Hansen:
Tools and Methodologies for Verifying Answer Set Programs. 211-216 - Matteo Cardellini:
An ASP Framework for Efficient Urban Traffic Optimization. 217-227 - Marco Mochi:
Planning and Scheduling in Digital Health with Answer Set Programming. 228-235 - Mohammed M. S. El-Kholany:
Decomposition Strategies for Solving Scheduling Problems in Industrial Applications. 236-242 - Iurii Medvedev, Farhad Shadmand, Nuno Gonçalves:
MorDeephy: Face Morphing Detection Via Fused Classification. - Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu:
Data-free Backdoor Removal based on Channel Lipschitzness. - Yasunobu Nohara, Toyoshi Inoguchi, Chinatsu Nojiri, Naoki Nakashima:
Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects. - Emmanuel Abbe, Enric Boix-Adserà:
On the non-universality of deep learning: quantifying the cost of symmetry. - Paolo Conti, Mengwu Guo, Andrea Manzoni, Jan S. Hesthaven:
Multi-fidelity surrogate modeling using long short-term memory networks. - Astik Srivastava, P. B. Sujit:
A reformulation of collision avoidance algorithm based on artificial potential fields for fixed-wing UAVs in a dynamic environment. - Qu Luo, Zilong Liu, Gaojie Chen, Pei Xiao, Yi Ma, Amine Maaref:
A Design of Low-Projection SCMA Codebooks for Downlink Satellite Internet of Things. - Johan Kwisthout:
Motivating explanations in Bayesian networks using MAP-independence. - Kalpana Mahalingam, Anuran Maity:
Watson-Crick conjugates of words and languages. - Alexander Armbruster, Lars Rohwedder, Andreas Wiese:
A PTAS for Minimizing Weighted Flow Time on a Single Machine. - Richard Marcus, Niklas Knoop, Bernhard Egger, Marc Stamminger:
A Lightweight Machine Learning Pipeline for LiDAR-simulation. - Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, Timofey Bryksin:
Out of the BLEU: how should we assess quality of the Code Generation models? - Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb:
Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning. - Jürgen Dobaj, Andreas Riel, Georg Macher, Markus Egretzberger:
A Method for Deriving Technical Requirements of Digital Twins as Industrial Product-Service System Enablers. - Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp, Kevin W. Bowyer, Adam Czajka:
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition. - Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Tianrui Liu, Shijian Lu, Liang Pan:
TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection. - Michael Gröger, Vadim Borisov, Gjergji Kasneci:
BoxShrink: From Bounding Boxes to Segmentation Masks. - Stefanos Sagkriotis, Dimitrios Pezaros:
Scale-friendly In-network Coordination. - Maximilian J. Grill, Wolfgang A. Wall, Christoph Meier:
Asymptotically consistent and computationally efficient modeling of short-ranged molecular interactions between curved slender fibers undergoing large 3D deformations. - Haim Cohen, Yinon Nachshon, Paz M. Naim, Jürgen Jost, Emil Saucan, Anat Maril:
Local Detour Centrality: A Novel Local Centrality Measure for Weighted Networks. - Bernd Prach, Christoph H. Lampert:
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks. - A. Kishore Kumar, Shefali Waldekar, Md. Sahidullah, Goutam Saha:
Robust Acoustic Domain Identification with its Application to Speaker Diarization. - Dragi Kocev, Nikola Simidjievski, Ana Kostovska, Ivica Dimitrovski, Ziga Kokalj:
Discover the Mysteries of the Maya: Selected Contributions from the Machine Learning Challenge & The Discovery Challenge Workshop at ECML PKDD 2021. - Xue Hu, Xinghui Li, Benjamin Busam, Yiren Zhou, Ales Leonardis, Shanxin Yuan:
Disentangling 3D Attributes from a Single 2D Image: Human Pose, Shape and Garment. - Thibault Maho, Teddy Furon, Erwan Le Merrer:
FBI: Fingerprinting models with Benign Inputs. - Aditeya Pandey, Arjun Srinivasan, Vidya Setlur:
MEDLEY: Intent-based Recommendations to Support Dashboard Composition. - Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston:
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage. - Sebastian Werner, Trever Schirmer:
Hardless: A Generalized Serverless Compute Architecture for Hardware Processing Accelerators. - Lucas Dixon:
Basic Elements of Logical Graphs. - Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton:
COPER: Continuous Patient State Perceiver. - Xiaoyu Shen, Svitlana Vakulenko, Marco Del Tredici, Gianni Barlacchi, Bill Byrne, Adrià de Gispert:
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey. - Jiayu Huo, Vejay Vakharia, Chengyuan Wu, Ashwini Sharan, Andrew Ko, Sébastien Ourselin, Rachel Sparks:
Brain Lesion Synthesis via Progressive Adversarial Variational Auto-Encoder. - Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay:
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. - Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu:
Neighborhood Collective Estimation for Noisy Label Identification and Correction. - Sophie Noiret, Jennifer Lumetzberger, Martin Kampel:
Bias and Fairness in Computer Vision Applications of the Criminal Justice System. - Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Joshua T. Vogelstein:
Why Do Networks Need Negative Weights? - Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. - Chengguang Gan, Tatsunori Mori:
Construction of English Resume Corpus and Test with Pre-trained Language Models. - Nadhir Ben Rached, Abdul-Lateef Haji-Ali, Shyam Mohan Subbiah Pillai, Raúl Tempone:
Multilevel Importance Sampling for McKean-Vlasov Stochastic Differential Equation. - Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan:
Improving Task Generalization via Unified Schema Prompt. - Samuel Joutard, Reuben Dorent, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Driving Points Prediction For Abdominal Probabilistic Registration. - Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Günther Schuh, Wil M. P. van der Aalst:
Defining Cases and Variants for Object-Centric Event Data. - Céline Hocquette, Andrew Cropper:
Learning programs with magic values. - Danny Stax, Manel Slokom, Martha A. Larson:
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews. - Norman Danner:
Recurrence extraction and denotational semantics with recursive definitions. - Manuel Rebol, Christian Gütl, Krzysztof Pietroszek:
Real-time Gesture Animation Generation from Speech for Virtual Human Interaction. - Zaiwei Chen, Siva Theja Maguluri:
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation. - Talip Ucar, Ehsan Hajiramezanali:
Parameter Averaging for Robust Explainability. - Ziyi Zhao, Sena Kiciroglu, Hugues Vinzant, Yuan Cheng, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua:
3D Pose Based Feedback for Physical Exercises. - Enrico Bertolazzi, Antonella Falini, Francesca Mazzia:
The Object Oriented c++ library QIBSH++ for Hermite spline Quasi Interpolation. - Manuel Rebol, Colton Hood, Claudia Ranniger, Adam Rutenberg, Neal Sikka, Erin Maria Horan, Christian Gütl, Krzysztof Pietroszek:
Remote Assistance with Mixed Reality for Procedural Tasks. - Aaron Zweig, Joan Bruna:
Towards Antisymmetric Neural Ansatz Separation. - Prathamesh Dharangutte, Christopher Musco:
A Tight Analysis of Hutchinson's Diagonal Estimator. - Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau, Jason Weston:
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback. - Todor Markov, Chong Zhang, Sandhini Agarwal, Tyna Eloundou, Teddy Lee, Steven Adler, Angela Jiang, Lilian Weng:
A Holistic Approach to Undesired Content Detection in the Real World. - Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, Alina Oprea:
Modeling Self-Propagating Malware with Epidemiological Models. - Soumyajit Karmakar, Abeer Banerjee, Prashant Sadashiv Gidde, Sumeet Saurav, Sanjay Singh:
Convolutional Ensembling based Few-Shot Defect Detection Technique. - Kyle Tilbury, Jesse Hoey:
Identity and Dynamic Teams in Social Dilemmas. - Mingyang Gong, Brett Edgar, Jing Fan, Guohui Lin, Eiji Miyano:
Approximation algorithms for covering vertices by long paths. - Da Ju, Jing Xu, Y-Lan Boureau, Jason Weston:
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls. - Allen Lin, Jianling Wang, Ziwei Zhu, James Caverlee:
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems. - Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Few-shot Learning with Retrieval Augmented Language Models. - Johan Linåker, Björn Regnell, Daniela E. Damian:
A Community Strategy Framework - How to obtain Influence on Requirements in Meritocratic Open Source Software Communities? - Margaret Li, Suchin Gururangan, Tim Dettmers, Mike Lewis, Tim Althoff, Noah A. Smith, Luke Zettlemoyer:
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models. - Wenxiao Wang, Alexander Levine, Soheil Feizi:
Lethal Dose Conjecture on Data Poisoning. - Romain Loiseau, Baptiste Bouvier, Yann Teytaut, Elliot Vincent, Mathieu Aubry, Loïc Landrieu:
A Model You Can Hear: Audio Identification with Playable Prototypes. - Seth Ockerman, John Wu, Christopher Stewart:
A Case for Dataset Specific Profiling. - Tyler Cody:
Homomorphisms Between Transfer, Multi-Task, and Meta-Learning Systems. - Akhilesh Adam Khakhar, Xi Chen:
Delta Hedging Liquidity Positions on Automated Market Makers. - Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu:
HPO: We won't get fooled again. - Hao Xu, Junsheng Zeng, Dongxiao Zhang:
Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. - Michele Cozzatti, Federico Simonetta, Stavros Ntalampiras:
Variational Autoencoders for Anomaly Detection in Respiratory Sounds. - Mokanarangan Thayaparan, Marco Valentino, André Freitas:
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. - Jingyi Shen, Haoyu Li, Jiayi Xu, Ayan Biswas, Han-Wei Shen:
IDLat: An Importance-Driven Latent Generation Method for Scientific Data. - Fransisca Susan, Negin Golrezaei, Ehsan Emamjomeh-Zadeh, David Kempe:
Active Learning for Non-Parametric Choice Models. - Nikolas Martelaro:
Exploring the Future of Remote User Research. - Federico Rossi, Dylan A. Shell:
Planning under periodic observations: bounds and bounding-based solutions. - Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays:
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch. - Rachel Bricker, Mikhail Nesterenko, Gokarna Sharma:
Blockchain in Dynamic Networks. - Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi:
Perceptual Artifacts Localization for Inpainting. - Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha:
GLASS: Global to Local Attention for Scene-Text Spotting. - Hang Hu, Zhao Song, Runzhou Tao, Zhaozhuo Xu, Danyang Zhuo:
Sublinear Time Algorithm for Online Weighted Bipartite Matching. - Aleksandar Stanic, Yujin Tang, David Ha, Jürgen Schmidhuber:
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter. - Mahdi Elhousni, Xinming Huang:
A Survey on Visual Map Localization Using LiDARs and Cameras. - Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets:
Black box approximation in the tensor train format initialized by ANOVA decomposition. - Jitesh Jain, Yuqian Zhou, Ning Yu, Humphrey Shi:
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand. - Antonino Favano, Luca Barletta, Alex Dytso:
Amplitude Constrained Vector Gaussian Wiretap Channel: Properties of the Secrecy-Capacity-Achieving Input Distribution. - Mehmet Fatih Ozkan, Yao Ma:
Trust-Aware Control of Automated Vehicles in Car-Following Interactions with Human Drivers. - Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov:
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. - Dirk Padfield, Daniel J. Liebling:
Chronological Self-Training for Real-Time Speaker Diarization. - Li Yang, Abdallah Shami, Gary Stevens, Stephen De Rusett:
LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles. - Dat T. Ngo, Hieu H. Pham, Thao T. B. Nguyen, Hieu T. Nguyen, Dung B. Nguyen, Ha Q. Nguyen:
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices. - Muhammad Usman, Youcheng Sun, Divya Gopinath, Rishi Dange, Luca Manolache, Corina S. Pasareanu:
An Overview of Structural Coverage Metrics for Testing Neural Networks. - Anh-Tu Nguyen, Thao Nguyen, Huy-Khiem Le, Huy Hieu Pham, Cuong Do:
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals. - Dihong Jiang, Guojun Zhang, Mahdi Karami, Xi Chen, Yunfeng Shao, Yaoliang Yu:
DP2-VAE: Differentially Private Pre-trained Variational Autoencoders. - Mitre Costa Dourado, Rodolfo Alves de Oliveira, Vitor S. Ponciano, Alessandra B. Queiróz, Rômulo L. O. da Silva:
Expanded-clique graphs and the domination problem. - Nusrat Zahan, Parth Kanakiya, Brian Hambleton, Shohanuzzaman Shohan, Laurie A. Williams:
PREPRINT: Can the OpenSSF Scorecard be used to measure the security posture of npm and PyPI? - Khondhaker Al Momin, Saurav Barua, Md. Shahreer Jamil, Omar Faruqe Hamim:
Short Duration Traffic Flow Prediction Using Kalman Filtering. - Asim Bashir Khajwal, Chih-Shen Cheng, Arash Noshadravan:
Multi-view deep learning for reliable post-disaster damage classification. - Kaibo Hu:
Oberwolfach report : Discretization of Hilbert complexes. - Manuel Paredes, Marc Sartor, Cédric Masclet:
Advantages in Using a Stock Spring Selection Tool that Manages the Uncertainty of the Designer Requirements. - Lubin Chang, Yarong Luo:
Log-linear Error State Model Derivation without Approximation for INS. - Anjul Kumar Tyagi, Tyler Estro, Geoff Kuenning, Erez Zadok, Klaus Mueller:
PC-Expo: A Metrics-Based Interactive Axes Reordering Method for Parallel Coordinate Displays. - Zhongwei Qiu, Qiansheng Yang, Jian Wang, Dongmei Fu:
IVT: An End-to-End Instance-guided Video Transformer for 3D Pose Estimation. - Srinjoy Bhuiya, Ayushman Kumar, Sankalok Sen:
Exploring the Effects of Data Augmentation for Drivable Area Segmentation. - Konstantin Golobokov, Junyi Chai, Victor Ye Dong, Mandy Gu, Bingyu Chi, Jie Cao, Yulan Yan, Yi Liu:
DeepGen: Diverse Search Ad Generation and Real-Time Customization. - Fangzhou Gao, Meng Wang, Lianghao Zhang, Li Wang, Jiawan Zhang:
Deep Uncalibrated Photometric Stereo via Inter-Intra Image Feature Fusion. - Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman, Jonathan Liono, Johanne R. Trippas, Damiano Spina, Nicholas J. Belkin, Peter Bailey, Paul N. Bennett, Yongli Ren, Mark Sanderson, Falk Scholer, Ryen W. White, Flora D. Salim:
Imagining Future Digital Assistants at Work: A Study of Task Management Needs. - Shannan Guan, Haiyan Lu, Linchao Zhu, Gengfa Fang:
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement. - Zheng Wang:
Detecting Algorithmically Generated Domains Using a GCNN-LSTM Hybrid Neural Network. - Mohammad Taha Askari, Lutz Lampe, Jeebak Mitra:
Probabilistic Amplitude Shaping and Nonlinearity Tolerance: Analysis and Sequence Selection Method. - Ronen Eldan, Avi Wigderson, Pei Wu:
An Optimal "It Ain't Over Till It's Over" Theorem. - Marie-Pierre Béal, Maxime Crochemore:
Fast detection of specific fragments against a set of sequences. - Yin Zhang, Can Xu, XianJun Wu, Yan Zhang, Ligang Dong, Weigang Wang:
LFGCF: Light Folksonomy Graph Collaborative Filtering for Tag-Aware Recommendation. - Hyeonsu B. Kang, Joseph Chee Chang, Yongsung Kim, Aniket Kittur:
Threddy: An Interactive System for Personalized Thread-based Exploration and Organization of Scientific Literature. - Heng Zhang, Guangjin Pan, Shugong Xu, Shunqing Zhang, Zhiyuan Jiang:
Prediction-based Hybrid Slicing Framework for Service Level Agreement Guarantee in Mobility Scenarios: A Deep Learning Approach. - Nicholas Mirin, Heather Mattie, Latifa Jackson, Zainab Samad, Rumi Chunara:
Data science in public health: building next generation capacity. - Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang:
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization. - Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly:
Preventing or Mitigating Adversarial Supply Chain Attacks; a legal analysis. - Bowen Yang, Qingwen Zhang, Ruoyu Geng, Lujia Wang, Ming Liu:
Real-time Neural Dense Elevation Mapping for Urban Terrain with Uncertainty Estimations. - Benteng Ma, Yushi Wang, Shen Wang:
Analyzing Deep Learning Based Brain Tumor Segmentation with Missing MRI Modalities. - Pradeep Kr. Banerjee, Kedar Karhadkar, Yu Guang Wang, Uri Alon, Guido Montúfar:
Oversquashing in GNNs through the lens of information contraction and graph expansion. - Yaosi Hu, Zhenzhong Chen:
Learning Human Cognitive Appraisal Through Reinforcement Memory Unit. - Abolfazl Lavaei, Emilio Frazzoli:
Compositional Controller Synthesis for Interconnected Stochastic Systems with Markovian Switching. - Abolfazl Lavaei, Sadegh Soudjani, Emilio Frazzoli:
Safety Barrier Certificates for Stochastic Hybrid Systems. - Seán Cummins, Lorin Sweeney, Alan F. Smeaton:
Analysing the Memorability of a Procedural Crime-Drama TV Series, CSI. - Luca Arnaboldi, David Aspinall:
Towards Interdependent Safety Security Assessments using Bowties. - Abolfazl Lavaei, Mateo Perez, Milad Kazemi, Fabio Somenzi, Sadegh Soudjani, Ashutosh Trivedi, Majid Zamani:
Compositional Reinforcement Learning for Discrete-Time Stochastic Control Systems. - Emilie Mathian, Huidong Liu, Lynnette Fernandez-Cuesta, Dimitris Samaras, Matthieu Foll, Liming Chen:
HaloAE: An HaloNet based Local Transformer Auto-Encoder for Anomaly Detection and Localization. - Ajinkya Gaikwad, Soumen Maity, Saket Saurabh:
Parameterized Algorithms for Locally Minimal Defensive Alliance. - Zhenyu Wu, Ziwei Wang, Zibu Wei, Yi Wei, Haibin Yan:
Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration. - Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li:
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning. - Dharanidhar Dang, Amitash Nanda, Bill Lin, Debashis Sahoo:
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines. - Reethika Ramesh, Anjali Vyas, Roya Ensafi:
"All of them claim to be the best": Multi-perspective study of VPN users and VPN providers. - Gauthier Tallec, Jules Bonnard, Arnaud Dapogny, Kévin Bailly:
Multi-Task Transformer with uncertainty modelling for Face Based Affective Computing. - YuanFu Yang, Min Sun:
Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning. - Jian Wang, Dongding Lin, Wenjie Li:
Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems. - Maximiliano Cristiá, Gianfranco Rossi:
A Set-Theoretic Decision Procedure for Quantifier-Free, Decidable Languages Extended with Restricted Quantifiers. - Gaspard Lambrechts, Adrien Bolland, Damien Ernst:
Recurrent networks, hidden states and beliefs in partially observable environments. - Davide Bacciu, Alessio Conte, Francesco Landolfi:
Graph Pooling with Maximum-Weight k-Independent Sets. - Siddharth H. Nair, Vijay Govindarajan, Theresa Lin, Yan Wang, Eric H. Tseng, Francesco Borrelli:
Stochastic MPC with Dual Control for Autonomous Driving with Multi-Modal Interaction-Aware Predictions. - Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto, Jianhua Yao, Jiangning Song:
Multiplex-detection Based Multiple Instance Learning Network for Whole Slide Image Classification. - Zitai Chen, Sam L. Thomas, Flavio D. Garcia:
MetaEmu: An Architecture Agnostic Rehosting Framework for Automotive Firmware. - Siddharth H. Nair, Eric H. Tseng, Francesco Borrelli:
Collision Avoidance for Dynamic Obstacles with Uncertain Predictions using Model Predictive Control. - Meysam Shahrbaf Motlagh, Subhajit Majhi, Patrick Mitran, Hideki Ochiai:
On Rate-Splitting With Non-unique Decoding In Multi-cell Massive MIMO Systems. - Justin Dombecki, James Golding, Mitchell Pleune, Nicholas Paul, Chan-Jin Chung:
A Successful Integration of the Robotic Technology Kernel (RTK) for a By-Wire Electric Vehicle System with a Mobile App Interface. - V. Mora-Afonso, Pino Caballero-Gil, Jezabel Molina-Gil:
Strong authentication on smart wireless devices. - Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia:
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer. - Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li:
Frozen CLIP Models are Efficient Video Learners. - Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi:
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation. - Md. Khaledur Rahman, Ariful Azad:
Triple Sparsification of Graph Convolutional Networks without Sacrificing the Accuracy. - Basma B. Hasanen, Mohammad I. Awad, Mohamed Nassim Boushaki, Zhenwei Niu, Mohammed A. Ramadan, Irfan Hussain:
Novel Supernumerary Robotic Limb based on Variable Stiffness Actuators for Hemiplegic Patients Assistance. - Qiaomu Miao, Sin-Hwa Kang, Stacy Marsella, Steve DiPaola, Chao Wang, Ari Shapiro:
Study of detecting behavioral signatures within DeepFake videos. - Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris:
HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. - Debjani Goswami, Merim Dzaferagic, Harun Siljak, Suvra Sekhar Das, Nicola Marchetti:
Analysis of Temporal Robustness in Massive Machine Type Communications. - David L. Macêdo:
Towards Robust Deep Learning using Entropic Losses. - Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot:
On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. - Athena Psalta, Vasileios Tsironis, Konstantinos Karantzalos:
Transformer-based assignment decision network for multiple object tracking. - Andreas Bartel, Michael Günther, Birgit Jacob, Timo Reis:
Operator Splitting Based Dynamic Iteration for Linear Port-Hamiltonian Systems. - Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu:
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation. - Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer, Fons van der Sommen:
Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features. - Emre Arslan, Fatih Kilinc, Sultangali Arzykulov, Ali Tugberk Dogukan, Abdulkadir Celik, Ertugrul Basar, Ahmed M. Eltawil:
Reconfigurable Intelligent Surface Enabled Over-the-Air Uplink Non-orthogonal Multiple Access. - Ali Ahmad Malik:
Development of a mobile robot assistant for wind turbines manufacturing. - Nadezhda Mukhaleva, Valentin D. Grigorev, George A. Chernishev:
Implementing Window Functions in a Column-Store with Late Materialization (Extended Version). - Arthur Stéphanovitch, Anqi Dong, Tryphon T. Georgiou:
Optimal transport through a toll. - Md Umar Hashmi:
Optimal Operation of HVDC Interconnector: Irish Case. - Ramchander Rao Bhaskara, Kookjin Sung, Manoranjan Majji:
An FPGA framework for Interferometric Vision-Based Navigation (iVisNav). - George Grispos, William R. Mahoney:
Cyber Pirates Ahoy! An Analysis of Cybersecurity Challenges in the Shipping Industry. - Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu:
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value. - Zikui Cai, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif:
Blackbox Attacks via Surrogate Ensemble Search. - Shuang Gao, Peter E. Caines:
Transmission Neural Networks: From Virus Spread Models to Neural Networks. - Masaaki Harada:
Self-dual codes over F5 and s-extremal unimodular lattices. - Akram Shafie, Chunhui Li, Nan Yang, Xiangyun Zhou, Trung Q. Duong:
An Unsupervised Learning Approach for Spectrum Allocation in Terahertz Communication Systems. - Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan:
Learning Omnidirectional Flow in 360-degree Video via Siamese Representation. - Khadija Zanna, Kusha Sridhar, Han Yu, Akane Sano:
Bias Reducing Multitask Learning on Mental Health Prediction. - Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai:
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph. - Xuanle Ren, Xiaoxia Cui:
An Enclave-based TEE for SE-in-SoC in RISC-V Industry. - Jing Yi, Zhenzhong Chen:
Debiased Cross-modal Matching for Content-based Micro-video Background Music Recommendation. - Xiaoxiao Li, Zhao Song, Jiaming Yang:
Federated Adversarial Learning: A Framework with Convergence Analysis. - Raja Sunkara, Tie Luo:
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects. - Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. - Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. - Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding:
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. - Yifan Hu, Yu Wang:
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition. - Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
Energy Efficiency Analysis of Charging Pads-powered UAV-enabled Wireless Networks. - Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang:
A Game-Theoretic Perspective of Generalization in Reinforcement Learning. - Mohammad Hossein Nasseri, Mohammadreza Babaee, Hadi Moradi, Reshad Hosseini:
Fast Online and Relational Tracking. - Yujiao Shi, Xin Yu, Shan Wang, Hongdong Li:
CVLNet: Cross-View Semantic Correspondence Learning for Video-based Camera Localization. - Arvind Subramaniam, Avinash Sharma:
N2NSkip: Learning Highly Sparse Networks using Neuron-to-Neuron Skip Connections. - Kai Liu, Tianxian Zhang, Lingjiang Kong:
Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning. - Lakshmi Jayalal, Shashank Shekhar, Athira Subhash, Sheetal Kalyani:
SINR Analysis of an IRS Assisted MU-MISO System. - Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin:
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. - Václav Skala:
Projective Geometry, Duality and Plucker Coordinates for Geometric Computations with Determinants on GPUs. - Václav Skala:
A New Robust Algorithm for Computation of a Triangle Circumscribed Sphere in E3 and a Hypersphere Simplex. - Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin:
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. - Václav Skala:
Point-in-Convex Polygon and Point-in-Convex Polyhedron Algorithms with O(1) Complexity using Space Subdivision. - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization. - Kaifeng Yang, Guozhi Dong, Michael Affenzeller:
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement. - Andreas Papadimitriou, Hedyeh Jafari, Sina Sharif Mansouri, George Nikolakopoulos:
Multi-Stage NMPC for a MAV based Collision Free Navigation under Varying Communication Delays. - Zezhong Zhang, Guangxu Zhu, Shuguang Cui:
Low-Latency Cooperative Spectrum Sensing via Truncated Vertical Federated Learning. - Elizabeth Polgreen, Kevin Cheang, Pranav Gaddamadugu, Adwait Godbole, Kevin Laeufer, Shaokai Lin, Yatin A. Manerkar, Federico Mora, Sanjit A. Seshia:
UCLID5: Multi-Modal Formal Modeling, Verification, and Synthesis. - Yu Yang, Xiaohong Guan, Qing-Shan Jia, Liang Yu, Bolun Xu, Costas J. Spanos:
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features. - Sebastian Lutz, Richard Blythman, Koustav Ghosal, Matthew Moynihan, Ciaran Simms, Aljosa Smolic:
Jointformer: Single-Frame Lifting Transformer with Error Prediction and Refinement for 3D Human Pose Estimation. - Wali Ullah Khan, Zain Ali, Eva Lagunas, Asad Mahmood, Muhammad Asif, Asim Ihsan, Symeon Chatzinotas, Björn E. Ottersten, Octavia A. Dobre:
Rate Splitting Multiple Access for Next Generation Cognitive Radio Enabled LEO Satellite Networks. - Ahmed El Kerim, Pierre Gosselet, Frederic Magoules:
Asynchronous scalable version of the Global-Local non-invasive coupling. - Hakan Gökcesu, Suleyman Serdar Kozat:
Optimal Tracking in Prediction with Expert Advice. - Heng Zhang, Xiaohong Chen:
Adaptive incomplete multi-view learning via tensor graph completion. - Mandar Kulkarni, Nikesh Garera:
Vernacular Search Query Translation with Unsupervised Domain Adaptation. - Sarmad N. Mohammed, Semra Gündüç:
The Influence of Network Structural Preference on Node Classification and Link Prediction. - Mandar Kulkarni, Soumya Chennabasavaraj, Nikesh Garera:
Study of Encoder-Decoder Architectures for Code-Mix Search Query Translation. - Seongjin Choi, Jinwoo Lee:
Optimal Parking Planning for Shared Autonomous Vehicles. - Ai Linh Nguyen, Wenyuan Liu, Khiam Aik Khor, Andrea Nanetti, Siew Ann Cheong:
Strategic differences between regional investments into graphene technology and how corporations and universities manage patent portfolios. - Zhengyang Shen, Tao Hong, Qi She, Jinwen Ma, Zhouchen Lin:
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs. - Yukio Ohsawa, Kaira Sekiguchi, Tomohide Maekawa, Hiroki Yamaguchi, Son Yeon Hyuk, Sae Kondo:
Data Leaves: Scenario-oriented Metadata for Data Federative Innovation. - Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu:
Robust Multi-Object Tracking by Marginal Inference. - Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey:
Multi-agent reinforcement learning for intent-based service assurance in cellular networks. - Yunpeng Bai, Chao Dong, Cairong Wang:
PS-NeRV: Patch-wise Stylized Neural Representations for Videos. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: II. Composite Fourier series method for simultaneous approximation to functions and their (partial) derivatives. - Arjun Ashok, Chaitanya Devaguptapu, Vineeth Balasubramanian:
Learning Modular Structures That Generalize Out-of-Distribution. - Dmitry Rabinovich, Alfred M. Bruckstein:
Emerging cooperation on the road by myopic local interactions. - Lin Li, Long Chen, Hanrong Shi, Wenxiao Wang, Jian Shao, Yi Yang, Jun Xiao:
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation. - Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu:
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. - Arjun Ashok, K. J. Joseph, Vineeth Balasubramanian:
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer. - Hongtao Hao, Yumian Cui, Zhengxiang Wang, Yea-Seul Kim:
Thirty-Two Years of IEEE VIS: Authors, Fields of Study and Citations. - Roshan Sah, Raunak Srivastava, Kaushik Das:
Design and Analysis of Cold Gas Thruster to De-Orbit the PSLV Debris. - Hieu H. Pham, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin:
Video-based Human Action Recognition using Deep Learning: A Review. - Ethan Mills, Alexey Pozdnyakov:
Stochastic Scaling in Loss Functions for Physics-Informed Neural Networks. - Minmin Liu, Xuechen Li, Xiangbo Gao, Junliang Chen, Linlin Shen, Huisi Wu:
Sample hardness based gradient loss for long-tailed cervical cell detection. - Yohei Watanabe, Naoto Yanai, Junji Shikata:
IoT-REX: A Secure Remote-Control System for IoT Devices from Centralized Multi-Designated Verifier Signatures. - Roberta De Viti, Isaac Sheff, Noemi Glaeser, Baltasar Dinis, Rodrigo Rodrigues, Jonathan Katz, Bobby Bhattacharjee, Anwar Hithnawi, Deepak Garg, Peter Druschel:
CoVault: A Secure Analytics Platform. - Aimen Gaba, Vidya Setlur, Arjun Srinivasan, Jane Hoffswell, Cindy Xiong:
Comparison Conundrum and the Chamber of Visualizations: An Exploration of How Language Influences Visual Design. - Rishabh Agrawal, Nirav Ajmeri, Munindar P. Singh:
Socially Intelligent Genetic Agents for the Emergence of Explicit Norms. - Dan Jia, Alexander Hermans, Bastian Leibe:
Global Hierarchical Attention for 3D Point Cloud Analysis. - Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang:
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects. - Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Estimating Topic Exposure for Under-Represented Users on Social Media. - Walid R. Ghanem, Vahid Jamali, Malte Schellmann, Hanwen Cao, Joseph Eichinger, Robert Schober:
Codebook Based Two-Time Scale Resource Allocation Design for IRS-Assisted eMBB-URLLC Systems. - Martin Nisser, Yashaswini Makaram, Faraz Faruqi, Ryo Suzuki, Stefanie Müller:
Selective Self-Assembly using Re-Programmable Magnetic Pixels. - Martin Nisser, Yashaswini Makaram, Lucian Covarrubias, Amadou Bah, Faraz Faruqi, Ryo Suzuki, Stefanie Müller:
Mixels: Fabricating Interfaces using Programmable Magnetic Pixels. - Mohammad Hashemi, Steffi Roy, Domenic Forte, Fatemeh Ganji:
HWGN2: Side-channel Protected Neural Networks through Secure and Private Function Evaluation. - Lisa Hellerstein, Devorah Kletenik, Naifeng Liu, R. Teal Witter:
Adaptivity Gaps for the Stochastic Boolean Function Evaluation Problem. - Siyan Li, Ashwin Paranjape, Christopher D. Manning:
When can I Speak? Predicting initiation points for spoken dialogue agents. - Dusko Pavlovic:
Categorical Computability in Monoidal Computer: Programs as Diagrams. - Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou:
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour. - Mohammad Hashemi, Steffi Roy, Fatemeh Ganji, Domenic Forte:
Garbled EDA: Privacy Preserving Electronic Design Automation. - Supawit Chockchowwat, Wenjie Liu, Yongjoo Park:
Automatically Finding Optimal Index Structure. - Xiatian Zhang, Noura Al Moubayed, Hubert P. H. Shum:
Towards Graph Representation Learning Based Surgical Workflow Anticipation. - Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi:
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications. - Prateek Mantri, Hariharan Subramonyam, Audrey L. Michal, Cindy Xiong:
How Do Viewers Synthesize Conflicting Information from Data Visualizations? - Sariel Har-Peled, Elfarouk Harb:
Revisiting Random Points: Combinatorial Complexity and Algorithms. - Laura Fee Nern, Yash Sharma:
How Adversarial Robustness Transfers from Pre-training to Downstream Tasks. - Giacomo Benedetti, Luca Verderame, Alessio Merlo:
Automatic Security Assessment of GitHub Actions Workflows. - Lucas Rosenblatt, R. Teal Witter:
Counterfactual Fairness Is Basically Demographic Parity. - Nicolai Kraus, Fredrik Nordvall Forsberg, Chuangjie Xu:
Type-Theoretic Approaches to Ordinals. - William McLean, Kassem Mustapha:
Error Profile for Discontinuous Galerkin Time Stepping of Parabolic PDEs. - Vudtiwat Ngampruetikorn, David J. Schwab:
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality. - Kshitiz Bansal, Keshav Rungta, Dinesh Bharadia:
RadSegNet: A Reliable Approach to Radar Camera Fusion. - William McLean:
Numerical Evaluation of Mittag-Leffler Functions. - Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee:
Towards Fair Conversational Recommender Systems. - Leszek Szczecinski, Harsh Sukheja:
Reliability of Solutions in Linear Ordering Problem: New Probabilistic Insight and Algorithms. - Zhi Liu:
DeepTLS: comprehensive and high-performance feature extraction for encrypted traffic. - Khang Nhut Lam, Jugal Kalita:
Creating Reverse Bilingual Dictionaries. - Yanjun Li, Jie Peng, Haibin Kan, Lijing Zheng:
Minimal Binary Linear Codes from Vectorial Boolean Functions. - Jonathan Zong, Josh Pollock, Dylan Wootton, Arvind Satyanarayan:
Animated Vega-Lite: Unifying Animation with a Grammar of Interactive Graphics. - Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita:
Automatically constructing Wordnet synsets. - Hao Feng, Yi Zhang, Srikathyayani Srikanteswara, Marcin Spoczynski, Gabriel E. Arrobo, Jing Zhu, Nageen Himayat:
Optimal Dynamic Orchestration in NDN-based Computing Networks. - Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. - Beibei Zhu, Lun Ji, Aiqing Zhu, Yifa Tang:
Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems. - Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita:
Creating Lexical Resources for Endangered Languages. - Chenwei Ran, Wei Shen, Jianbo Gao, Yuhan Li, Jianyong Wang, Yantao Jia:
Learning Entity Linking Features for Emerging Entities. - Wei Luo, Tongzhi Niu, Lixin Tang, Wenyong Yu, Bin Li:
Clear Memory-Augmented Auto-Encoder for Surface Defect Detection. - Daniele Bartoli, Lukas Kölsch, Giacomo Micheli:
Differential biases, c-differential uniformity, and their relation to differential attacks. - Tim W. Reid, Ilse C. F. Ipsen, Jon Cockayne, Chris J. Oates:
Statistical Properties of the Probabilistic Numeric Linear Solver BayesCG. - Saber Jafarpour, Alexander Davydov, Matthew Abate, Francesco Bullo, Samuel Coogan:
Robust Training and Verification of Implicit Neural Networks: A Non-Euclidean Contractive Approach. - Nanyi Zheng, Xiaofeng Cai, Jing-Mei Qiu, Jianxian Qiu:
Fourth-order conservative non-splitting semi-Lagrangian Hermite WENO schemes for kinetic and fluid simulations. - Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao:
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. - Yulong Chen, Naihao Deng, Yang Liu, Yue Zhang:
DialogSum Challenge: Results of the Dialogue Summarization Shared Task. - Jeremy E. Block, Shaghayegh Esmaeili, Eric D. Ragan, John R. Goodall, G. David Richardson:
The Influence of Visual Provenance Representations on Strategies in a Collaborative Hand-off Data Analysis Scenario. - Ziqi Zhou, Lei Qi, Yinghuan Shi:
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration. - Aiwei Liu, Xuming Hu, Li Lin, Lijie Wen:
Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. - Tiebin Mi, Jianan Zhang, Rujing Xiong, Zhengyu Wang, Robert Caiming Qiu:
Towards Analytical Electromagnetic Models for Reconfigurable Intelligent Surfaces. - Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li:
Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data. - Guangsheng Yu, Xu Wang, Ping Yu, Caijun Sun, Wei Ni, Ren Ping Liu:
Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning. - Alexis Benamira, Sachin Shah, Sumanta N. Pattanaik:
Interpretable Disentangled Parametrization of Measured BRDF with β-VAE. - Jiehao Liang, Zhao Song, Zhaozhuo Xu, Danyang Zhuo:
Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. - Wenbo Zhang, Keren Fu, Zhuo Wang, Ge-Peng Ji, Qijun Zhao:
Depth Quality-Inspired Feature Manipulation for Efficient RGB-D and Video Salient Object Detection. - Yi Hu, Bo Cai, Yaoxiang Yu:
CSSAM: Code Search via Attention Matching of Code Semantics and Structures. - Asif Khan, Amos J. Storkey:
Adversarial robustness of β-VAE through the lens of local geometry. - Lin Bai, Zhuangfei Wu, Lin Zhou:
Achievable Refined Asymptotics for Successive Refinement Using Gaussian Codebooks. - Kangchun Zhao, Yijie Mao, Zhaohui Yang, Lixiang Lian, Bruno Clerckx:
Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying. - Taisuke Kobayashi, Ryoma Watanuki:
Sparse Representation Learning with Modified q-VAE towards Minimal Realization of World Model. - Tobias Hatt, Stefan Feuerriegel:
Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model. - Zeyan Li, Nengwen Zhao, Shenglin Zhang, Yongqian Sun, Pengfei Chen, Xidao Wen, Minghua Ma, Dan Pei:
Constructing Large-Scale Real-World Benchmark Datasets for AIOps. - Xin Liu, Wei Tao, Jun Wang, Zhisong Pan:
A high-resolution dynamical view on momentum methods for over-parameterized neural networks. - Yong Liu, Hanzhou Wu, Xinpeng Zhang:
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering. - Shuai Zhang, Liang Zhao, Shoudong Huang, Hua Wang, Qi Luo, Qi Hao:
SLAM-TKA: Real-time Intra-operative Measurement of Tibial Resection Plane in Conventional Total Knee Arthroplasty. - Tianxing Zhang, Hanzhou Wu, Xiaofeng Lu, Guangling Sun:
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning. - Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis:
Extrinsic Camera Calibration with Semantic Segmentation. - Lucas Mayr, Frederico Schardong, Ricardo Felipe Custódio:
Simplifying Electronic Document Digital Signatures. - Zhihong Huang, Ye Guo, Qiuwei Wu, Li Xiao, Hongbin Sun:
A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants. - Jinyu Fan, Yi Zeng:
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models. - Ricardo Kleinlein, Alexander Hepburn, Raúl Santos-Rodríguez, Fernando Fernández Martínez:
Sampling Based On Natural Image Statistics Improves Local Surrogate Explainers. - Maximilian Gilles, Yuhao Chen, Tim Robin Winter, E. Zhixuan Zeng, Alexander Wong:
MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis. - Li Feng, Zhongyi Huang:
A Uniform Convergent Petrov-Galerkin method for a Class of Turning Point Problems. - Tong Yang, Rong Xiong, Yue Wang:
Efficient Distance-Optimal Tethered Path Planning in Planar Environments: The Workspace Convexity. - Chikun Liao, Feng Wang, Vincent K. N. Lau:
Optimized Design for IRS-Assisted Integrated Sensing and Communication Systems in Clutter Environments. - Anton I. Glushchenko, Konstantin A. Lastochkin:
Exponentially Stable MRAC of MIMO Switched Systems with Matched Uncertainty and Completely Unknown Control Matrix. - Yue Hu, Shaoheng Fang, Weidi Xie, Siheng Chen:
Aerial Monocular 3D Object Detection. - Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
Towards lifelong learning of Recurrent Neural Networks for control design. - Wolfgang Arendt, Isabelle Chalendar, Robert Eymard:
Extensions of derivations and symmetric operators. - Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang:
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. - Jaya Goel, Jagadeesh Harshan:
One-Hop Listening Based ARQs for Low-Latency Communication in Multi-Hop Networks. - Di Wang, Qiming Zhang, Yufei Xu, Jing Zhang, Bo Du, Dacheng Tao, Liangpei Zhang:
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model. - Man Zhang, Andrea Arcuri, Yonggang Li, Kaiming Xue, Zhao Wang, Jian Huo, Weiwei Huang:
Fuzzing Microservices In Industry: Experience of Applying EvoMaster at Meituan. - Davide Villa, Miead Tehrani Moayyed, Pedram Johari, Stefano Basagni, Tommaso Melodia:
CaST: A Toolchain for Creating and Characterizing Realistic Wireless Network Emulation Scenarios. - Victor Schetinger, Velitchko Andreev Filipov, Ignacio Pérez-Messina, Ethan Smith, Rodrigo Oliveira de Oliveira:
I Learn to Diffuse, or Data Alchemy 101: a Mnemonic Manifesto. - Sylwia Kopczynska, Jakub Piechowiak, Miroslaw Ochodek, Jerzy R. Nawrocki:
On the Benefits And Problems Related to Using Definition of Done - A Survey Study. - Yalchin Efendiev, Wing Tat Leung:
Multicontinuum homogenization and its relation to nonlocal multicontinuum theories. - Mohsen Moradi:
Application of Guessing to Sequential Decoding of Polarization-Adjusted Convolutional (PAC) Codes. - Hien Thi Ha, Ales Horák:
Information Extraction from Scanned Invoice Images using Text Analysis and Layout Features. - Clarence Gabriel R. Kasilag, Pollux M. Rey, Jhoirene B. Clemente:
Solving the Online Assignment Problem with Machine Learned Advice. - Jaya Goel, Jagadeesh Harshan:
Hybrid-ARQ Based Relaying Strategies for Enhancing Reliability in Delay-Bounded Networks. - Qianying Lin, Wen-Ji Zhou, Yanshi Wang, Qing Da, Qing-Guo Chen, Bing Wang:
Sparse Attentive Memory Network for Click-through Rate Prediction with Long Sequences. - Joon Sung Park, Lindsay Popowski, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, Michael S. Bernstein:
Social Simulacra: Creating Populated Prototypes for Social Computing Systems. - Hannan Lu, Zhi Tian, Lirong Yang, Haibing Ren, Wangmeng Zuo:
Two-Stream Networks for Object Segmentation in Videos. - Lei Li, Julià Camps, Abhirup Banerjee, Marcel Beetz, Blanca Rodríguez, Vicente Grau:
Deep Computational Model for the Inference of Ventricular Activation Properties. - Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Zhen Zeng, Edward Xiao, Jing Xiao:
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training. - Tiago de Freitas Pereira, Dominic Schmidli, Yu Linghu, Xinyi Zhang, Sébastien Marcel, Manuel Günther:
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues. - Niclas Boehmer, Klaus Heeger, Stanislaw Szufa:
A Map of Diverse Synthetic Stable Roommates Instances. - Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim:
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty. - Simon Baeuerle, Marius Gebhardt, Jonas Barth, Andreas Steimer, Ralf Mikut:
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. - Davide Villa, Chih-Kuang Lin, Adam Kuenzi, Michael Lang:
Bluetooth Low Energy mesh network for power-limited, robust and reliable IoT services. - Peter De Roovere, Steven Moonen, Nick Michiels, Francis Wyffels:
Dataset of Industrial Metal Objects. - Nikolaos Karalias, Joshua Robinson, Andreas Loukas, Stefanie Jegelka:
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions. - Dengya Zhu, Shastri L. Nimmagadda, Kok Wai Wong, Torsten Reiners:
Relevance Judgment Convergence Degree - A Measure of Inconsistency among Assessors for Information Retrieval. - Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon:
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training. - Henry Chimal-Dzul, Niklas Gassner, Joachim Rosenthal, Reto Schnyder:
Efficient Description of some Classes of Codes using Group Algebras. - Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application. - Yash Deshpande, Cedomir Stefanovic, H. Murat Gürsu, Wolfgang Kellerer:
On d-ary tree algorithms with successive interference cancellation. - Daigo Imamura, Takashi Ishio, Raula Gaikovina Kula, Kenichi Matsumoto:
Bug-Fix Variants: Visualizing Unique Source Code Changes across GitHub Forks. - Hilal AlQuabeh, Aliakbar Abdurahimov:
Pairwise Learning via Stagewise Training in Proximal Setting. - Heng Cong, Rongyu Zhang, Jiarong He, Jin Gao:
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing. - Elsie Lee-Robbins, Eytan Adar:
Affective Learning Objectives for Communicative Visualizations. - Yili Jin, Junhua Liu, Fangxin Wang, Shuguang Cui:
Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study. - Iman Munire Bilal, Bo Wang, Adam Tsakalidis, Dong Nguyen, Rob Procter, Maria Liakata:
Template-based Abstractive Microblog Opinion Summarisation. - Clément Aubert, Cinzia Di Giusto, Larisa Safina, Alceste Scalas:
Proceedings 15th Interaction and Concurrency Experience, ICE 2022, Lucca, Italy, 17th June 2022. EPTCS 365, 2022 [contents] - Sebastian Heri, Julia Lieb, Joachim Rosenthal:
Self-Dual Convolutional Codes. - Erik Faust, Alexander Schlüter, Henning Müller, Ralf Müller:
Dirichlet and Neumann boundary conditions in a Lattice Boltzmann Method for Elastodynamics. - Danlan Huang, Feifei Gao, Xiaoming Tao, Qiyuan Du, Jianhua Lu:
Towards Semantic Communications: Deep Learning-Based Image Semantic Coding. - Zhichao Zhou, Yuming Zhou, Chunrong Fang, Zhenyu Chen, Yutian Tang:
Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation. - Rohit Ram, Marian-Andrei Rizoiu:
You are what you browse: A robust framework for uncovering political ideology. - Ahtsham Manzoor, Dietmar Jannach:
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. - Alex Kaltenbach, Michael Ruzicka:
A Local Discontinuous Galerkin approximation for the p-Navier-Stokes system, Part I: Convergence analysis. - Alex Kaltenbach, Michael Ruzicka:
A Local Discontinuous Galerkin approximation for the p-Navier-Stokes system, Part II: Convergence rates. - Nirmali Roy, Anuradha Jha:
Parameter uniform numerical method for singularly perturbed two parameter parabolic problem with discontinuous convection coefficient and source term. - Margherita Rosnati, Eyal Soreq, Miguel Monteiro, Lucia M. Li, Neil S. N. Graham, Karl Zimmerman, Carlotta Rossi, Greta Carrara, Guido Bertolini, David J. Sharp, Ben Glocker:
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury. - Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu:
UFNRec: Utilizing False Negative Samples for Sequential Recommendation. - Zhilong Chen, Jinghua Piao, Xiaochong Lan, Hancheng Cao, Chen Gao, Zhicong Lu, Yong Li:
Practitioners Versus Users: A Value-Sensitive Evaluation of Current Industrial Recommender System Design. - Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé:
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. - Xu Liu, Wen Yao, Xiaohu Zheng, Yingchun Xu:
Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. - Raphaël Millière:
Adversarial Attacks on Image Generation With Made-Up Words. - Sachith Seneviratne, Damith A. Senanayake, Sanka Rasnayaka, Rajith Vidanaarachchi, Jason Thompson:
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. - Worasait Suwannik:
Style Transfer of Black and White Silhouette Images using CycleGAN and a Randomly Generated Dataset. - Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad:
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. - Youheng Zhang:
A Historical Interaction between Artificial Intelligence and Philosophy. - Rohit Lal, Bharath Kumar Bolla, Sabeesh Ethiraj:
Efficient Neural Net Approaches in Metal Casting Defect Detection. - Shreya Bhatt, Aayush Jain, Parv Maheshwari, Animesh Jha, Debashish Chakravarty:
[Reproducibility Report] Path Planning using Neural A* Search. - Hossein Mohammadi, Shiva Jokar, Mojtaba Mohammadi, Abdollah Kavousifard, Morteza Dabbaghjamanesh:
AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting. - Ningning Wang, Guodong Li, Sihuang Hu, Min Ye:
Constructing MSR codes with subpacketization 2n/3 for k+1 helper nodes. - Wanyue Xu, Liwang Zhu, Jiale Guan, Zuobai Zhang, Zhongzhi Zhang:
Effects of Stubbornness on Opinion Dynamics. - Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis:
Abstractive Meeting Summarization: A Survey. - Xiangwen Kong, Xiangyu Zhang:
Understanding Masked Image Modeling via Learning Occlusion Invariant Feature. - Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu:
Neural Message Passing for Visual Relationship Detection. - Ahmed El Gazzar, Rajat Mani Thomas, Guido A. van Wingen:
fMRI-S4: learning short- and long-range dynamic fMRI dependencies using 1D Convolutions and State Space Models. - James H. Adler, Casey Cavanaugh, Xiaozhe Hu, Andy Huang, Nathaniel Trask:
A Stable Mimetic Finite-Difference Method for Convection-Dominated Diffusion Equations. - Dániel Horváth, Gábor Erdös, Zoltán Istenes, Tomás Horváth, Sándor Földi:
Object Detection Using Sim2Real Domain Randomization for Robotic Applications. - Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen:
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. - Lloyd N. Trefethen:
Spectacularly large expansion coefficients in Müntz's theorem. - Sarah Kleest-Meißner, Jonas Marasus, Matthias Niewerth:
MSO Queries on Trees: Enumerating Answers under Updates Using Forest Algebras. - Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. - Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
Towards Memory Efficient Training via Dual Activation Precision. - Mehdi Khoshboresh-Masouleh, Reza Shah-Hosseini:
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning. - Yiqin Wang, Yuanbo Li, Chong Han, Yi Chen, Ziming Yu:
Joint Channel Measurement and Simulation Analysis in an L-shaped Indoor Hallway in the Terahertz Band. - Hiran H. Lathabai, Abhirup Nandy, Vivek Kumar Singh:
Institutional Collaboration Recommendation: An expertise-based framework using NLP and Network Analysis. - Tianyi Hu, Monika Kwiatkowski, Simon Matern, Olaf Hellwich:
Content-Based Landmark Retrieval Combining Global and Local Features using Siamese Neural Networks. - Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. - Yu-Ki Lee, Yue Hao, Zhonghua Xi, Woongbae Kim, Youngmin Park, Kyu-Jin Cho, Jyh-Ming Lien, In-Suk Choi:
Origami-based Zygote structure enables pluripotent shape-transforming deployable structure. - Pengbo Wei, David Ahmedt-Aristizabal, Harshala Gammulle, Simon Denman, Mohammad Ali Armin:
Vision-Based Activity Recognition in Children with Autism-Related Behaviors. - Razan Ghzouli, Swaib Dragule, Thorsten Berger, Einar Broch Johnsen, Andrzej Wasowski:
Behavior Trees and State Machines in Robotics Applications. - Paul C. Castro, Vatche Isahagian, Vinod Muthusamy, Aleksander Slominski:
Hybrid Serverless Computing: Opportunities and Challenges. - Haoran Wang, Di Xu, Dongliang He, Fu Li, Zhong Ji, Jungong Han, Errui Ding:
Boosting Video-Text Retrieval with Explicit High-Level Semantics. - Ramtin Afshar, Michael T. Goodrich:
Exact Learning of Multitrees and Almost-Trees Using Path Queries. - Zhilan Zhou, Wenyuan Wang, Mengtian Guo, Yue Wang, David Gotz:
A Design Space for Surfacing Content Recommendations in Visual Analytic Platforms. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions. - Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei:
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. - Jean-Thomas Baillargeon, Nicolas Garneau:
Beer2Vec : Extracting Flavors from Reviews for Thirst-Quenching Recommandations. - Yuchen Liu:
Court Judgement Labeling Using Topic Modeling and Syntactic Parsing. - Sameer Ambekar, Matteo Tafuro, Ankit Ankit, Diego van der Mast, Mark Alence, Christos Athanasiadis:
SKDCGN: Source-free Knowledge Distillation of Counterfactual Generative Networks using cGANs. - Davide Dalle Pezze, Denis Deronjic, Chiara Masiero, Diego Tosato, Alessandro Beghi, Gian Antonio Susto:
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring. - Jorge Martín-Pérez, Nuria Molner, Francesco Malandrino, Carlos Jesus Bernardos, Antonio de la Oliva, David Gomez-Barquero:
Choose, not Hoard: Information-to-Model Matching for Artificial Intelligence in O-RAN. - Ebadollah Taheri, Sudeep Pasricha, Mahdi Nikdast:
ReSiPI: A Reconfigurable Silicon-Photonic 2.5D Chiplet Network with PCMs for Energy-Efficient Interposer Communication. - Zehan Li, Nan Yang, Liang Wang, Furu Wei:
Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval. - Zhen Meng, Changyang She, Guodong Zhao, Daniele De Martini:
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse. - Alicia Villanueva:
Informal proceedings of the 32nd International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2022). - Jing Tan, Ramin Khalili, Holger Karl, Artur Hecker:
Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application. - Shalini Jain, Yashas Andaluri, S. VenkataKeerthy, Ramakrishna Upadrasta:
POSET-RL: Phase ordering for Optimizing Size and Execution Time using Reinforcement Learning. - Paula Harder:
Abstract error analysis for Cahn-Hilliard type equations with dynamic boundary conditions. - Linh The Nguyen, Nguyen Luong Tran, Long Doan, Manh Luong, Dat Quoc Nguyen:
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation. - Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed:
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. - Xavier Vilajosana, Guillem Boquet, Joan Melià, Pere Tuset-Peiró, Borja Martínez, Ferran Adelantado:
Challenges and Opportunities for Simultaneous Multi-functional Networks in the UHF Bands. - Xinyi Chen, Boyu Zhou, Jiarong Lin, Yichen Zhang, Fu Zhang, Shaojie Shen:
Fast 3D Sparse Topological Skeleton Graph Generation for Mobile Robot Global Planning. - Chongjun Ouyang, Hao Xu, Xujie Zang, Hongwen Yang:
Capacity Scaling Law in Massive MIMO with Antenna Selection. - Youyuan Zhang, Jiuniu Wang, Hao Wu, Wenjia Xu:
Distinctive Image Captioning via CLIP Guided Group Optimization. - Enrico Fregnan, Larissa Braz, Marco D'Ambros, Gül Çalikli, Alberto Bacchelli:
First Come First Served: The Impact of File Position on Code Review. - Chongjun Ouyang, Yuanwei Liu, Hongwen Yang, Naofal Al-Dhahir:
Integrated Sensing and Communications: A Mutual Information-Based Framework. - Larissa Braz, Alberto Bacchelli:
Software Security during Modern Code Review: The Developer's Perspective. - Aman Chawla, Salvatore Domenic Morgera:
Towards Weak Information Theory: Weak-Joint Typicality Decoding Using Support Vector Machines May Lead to Improved Error Exponents. - Hei Law, Jia Deng:
Label-Free Synthetic Pretraining of Object Detectors. - Benjamin J. Smith, Robert Klassert, Roland Pihlakas:
Improving performance in multi-objective decision-making in Bottles environments with soft maximin approaches. - Yifei Ren, Binbin Xu, Christopher L. Choi, Stefan Leutenegger:
Visual-Inertial Multi-Instance Dynamic SLAM with Object-level Relocalisation. - Juan F. Garcia-Mathey, Jaime A. Moreno:
MIMO Super-Twisting Controller using a passivity-based design. - Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert:
Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation. - Atreyee Saha, Salman Siddique Khan, Sagar Sehrawat, Sanjana S. Prabhu, Shanti Bhattacharya, Kaushik Mitra:
LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval. - Sungpil Kho, Pilhyeon Lee, Wonyoung Lee, Minsong Ki, Hyeran Byun:
Exploiting Shape Cues for Weakly Supervised Semantic Segmentation. - Neil Fendley, Cash Costello, Eric Q. Nguyen, Gino Perrotta, Corey Lowman:
Continual Reinforcement Learning with TELLA. - S. Travis Waller, Moeid Qurashi, Anna Sotnikova, Lavina Karva, Sai Chand:
Analyzing and modeling network travel patterns during the Ukraine invasion using crowd-sourced pervasive traffic data. - Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad:
Gaze Estimation Approach Using Deep Differential Residual Network. - Patrick Schmidt, Arne-Jens Hempel, Stefan Streif:
High-gain observer for the nitrification process including sensor dynamics. - Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey:
PlaneFormers: From Sparse View Planes to 3D Reconstruction. - Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang:
3D Vision with Transformers: A Survey. - Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Daphne Ngar-yin Mah, Grace Lai-Hung Wong:
AUTOSHAPE: An Autoencoder-Shapelet Approach for Time Series Clustering. - Zaifa Xue, Huibin Lu, Tao Zhang, Max A. Little:
Patient-Specific Game-Based Transfer Method for Parkinson's Disease Severity Prediction. - Pavan Kumar Reddy Boppidi, Victor Jeffry Louis, Arvind Subramaniam, Rajesh K. Tripathy, Souri Banerjee, Souvik Kundu:
Implementation of fast ICA using memristor crossbar arrays for blind image source separations. - (Withdrawn) PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network.
- Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb:
Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment. - Zhipeng Cheng, Xuwei Fan, Minghui Liwang, Ning Chen, Xianbin Wang:
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets. - Wanguang Yin, Zhichao Liang, Jianguo Zhang, Quanying Liu:
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding. - Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo:
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. - Vladimir Frants, Sos S. Agaian, Karen Panetta:
QSAM-Net: Rain streak removal by quaternion neural network with self-attention module. - Jason Phang, Yao Zhao, Peter J. Liu:
Investigating Efficiently Extending Transformers for Long Input Summarization. - Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko:
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. - Moritz Beller, Hongyu Li, Vivek Nair, Vijayaraghavan Murali, Imad Ahmad, Jürgen Cito, Drew Carlson, Gareth Ari Aye, Wes Dyer:
Learning to Learn to Predict Performance Regressions in Production at Meta. - Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu:
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces. - Claudio D. G. Linhares, Jean R. Ponciano, Diogenes S. Pedro, Luis E. C. Rocha, Agma J. M. Traina, Jorge Poco:
LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. - Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou:
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022. - Yunqing Bao, Hang Dai, Abdulmotaleb El-Saddik:
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks. - Andrea Panizza, Szymon Tomasz Stefanek, Stefano Melacci, Giacomo Veneri, Marco Gori:
Learning to Identify Drilling Defects in Turbine Blades with Single Stage Detectors. - Jiahao Wen, Bohan Wang, Jernej Barbic:
A Rotation-Strain Method to Model Surfaces using Plasticity. - Christian Bauckhage, Helen Schneider, Benjamin Wulff, Rafet Sifa:
Gradient Flows for L2 Support Vector Machine Training. - Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai:
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. - Shailesh Mishra, Jonathan Granskog:
CLIP-based Neural Neighbor Style Transfer for 3D Assets. - Artem Strashko, E. Miles Stoudenmire:
Generalization and Overfitting in Matrix Product State Machine Learning Architectures. - Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Soft Sensors and Process Control using AI and Dynamic Simulation. - Goutham Rajendran:
Combinatorial Optimization via the Sum of Squares Hierarchy. - Nirmali Roy, Anuradha Jha:
A parameter uniform method for two-parameter singularly perturbed boundary value problems with discontinuous data. - David Jacob Kedziora, Tien-Dung Nguyen, Katarzyna Musial, Bogdan Gabrys:
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning. - Zhaodong Sun, Xiaobai Li:
Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast. - Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur:
A Systematic Evaluation of Response Selection for Open Domain Dialogue. - Roman Kolpakov:
Almost optimal searching of maximal subrepetitions in a word. - Edwin Vargas, Kumar Vijay Mishra, Roman Jacome, Brian M. Sadler, Henry Arguello:
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems. - Raida Karim, Edgar Lopez, Katelynn Oleson, Tony W. Li, Elin A. Björling, Maya Cakmak:
Share with Me: A Study on a Social Robot Collecting Mental Health Data. - Emmanuel Senft, Michael Hagenow, Pragathi Praveena, Robert G. Radwin, Michael R. Zinn, Michael Gleicher, Bilge Mutlu:
A Method For Automated Drone Viewpoints to Support Remote Robot Manipulation. - So-Hsiang Chou, Champike Attanayake:
Construction of Discontinuous Enrichment Functions for Enriched FEM's for Interface Elliptic Problems in 1D. - Hosein Zarini, Narges Gholipoor, Mohammad Robat Mili, Mehdi Rasti, Hina Tabassum, Ekram Hossain:
Liquid State Machine-Empowered Reflection Tracking in RIS-Aided THz Communications. - Eytan Adar, Elsie Lee-Robbins:
Roboviz: A Game-Centered Project for Information Visualization Education. - Maegan Tucker, Kejun Li, Yisong Yue, Aaron D. Ames:
POLAR: Preference Optimization and Learning Algorithms for Robotics. - Sergio Machado, Anirudh Sridhar, Paulo Gil, Jorge Henriques, José M. F. Moura, Augusto Santos:
Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach. - Uéverton S. Souza:
A note on independent sets in sparse-dense graphs. - Majid Farhadi, Jai Moondra, Prasad Tetali, Alejandro Toriello:
Multi Purpose Routing: New Perspectives and Approximation Algorithms. - Germana Landi, Giovanni V. Spinelli, Fabiana Zama, Delia Chillura Martino, Pellegrino Conte, Paolo Lo Meo, Villiam Bortolotti:
An automatic L1-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks. - Ayush Kumar, Parth Nagarkar, Prabhav Nalhe, Sanjeev Vijayakumar:
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey. - Kaier Liang, Cristian-Ioan Vasile:
Fair Planning for Mobility-on-Demand with Temporal Logic Requests. - Babak Hemmatian, Lav R. Varshney:
Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. - Sophia Knight, Pavel Naumov:
What are Your Powers? - Truth Set Algebras. - Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien:
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints. - Shi Feng, Fang-Yi Yu, Yiling Chen:
Peer Prediction for Learning Agents. - Fabian Sperrle, Davide Ceneda, Mennatallah El-Assady:
Lotse: A Practical Framework for Guidance in Visual Analytics. - Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob:
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. - Cindy Xiong, Chase Stokes, Yea-Seul Kim, Steven Franconeri:
Seeing What You Believe or Believing What You See? Belief Biases Correlation Estimation. - Lei Ke, Yu-Wing Tai, Chi-Keung Tang:
Occlusion-Aware Instance Segmentation via BiLayer Network Architectures. - Eli Holder, Cindy Xiong:
Dispersion vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes. - Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. - Doyub Kim, Minjae Lee, Ken Museth:
NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks. - Brian D. Hall, Lyn Bartram, Matthew Brehmer:
Augmented Chironomia for Presenting Data to Remote Audiences. - Moataz Abdelaal, Nathan Daniel Schiele, Katrin Angerbauer, Kuno Kurzhals, Michael Sedlmair, Daniel Weiskopf:
Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations. - Jin-Zhu Yu, Chencheng Cai, Jianxi Gao:
Bullwhip Effect of Supply Networks: Joint Impact of Network Structure and Market Demand. - Cenk Baykal, Nishanth Dikkala, Rina Panigrahy, Cyrus Rashtchian, Xin Wang:
A Theoretical View on Sparsely Activated Networks. - Thanh Tran, Sebastian Bader, Jan Lundgren:
Denoising Induction Motor Sounds Using an Autoencoder. - Bolin Lai, Miao Liu, Fiona Ryan, James M. Rehg:
In the Eye of Transformer: Global-Local Correlation for Egocentric Gaze Estimation. - Brian Felipe Keith Norambuena, Tanushree Mitra, Chris North:
Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit. - Lukasz Szpruch, Tanut Treetanthiploet, Yufei Zhang:
Optimal scheduling of entropy regulariser for continuous-time linear-quadratic reinforcement learning. - Mohannad Shehadeh, Frank R. Kschischang:
A Simple Capacity-Achieving Scheme for Channels with Polarization-Dependent Loss. - Anguluri Rajasekhar, Lalitha Sankar, Oliver Kosut:
Parameter Estimation in Ill-conditioned Low-inertia Power Systems. - Takao Dantsuji, Yuki Takayama, Daisuke Fukuda:
Perimeter control in a mixed bimodal bathtub model. - Assela Reig-Alamillo, David Torres-Moreno, Eliseo Morales-González, Mauricio Toledo-Acosta, Antoine Taroni, Jorge Hermosillo Valadez:
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach. - Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu:
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. - Shu Liu, Liming Ma, Tingyi Wu, Chaoping Xing:
Good locally repairable codes via propagation rules. - Dorna Abdolazimi, Shayan Oveis Gharan:
An Improved Trickle-Down Theorem for Partite Complexes. - Andrew SaLoutos, Elijah Stanger-Jones, Sangbae Kim:
Fast Reflexive Grasping with a Proprioceptive Teleoperation Platform. - Arvind Subramaniam, Aryan Mehra, Sayani Kundu:
Exploring Hate Speech Detection with HateXplain and BERT. - Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu:
Improving Vaccine Stance Detection by Combining Online and Offline Data. - Dongwoo Lew, Kyungchul Lee, Jongsun Park:
A Time-to-first-spike Coding and Conversion Aware Training for Energy-Efficient Deep Spiking Neural Network Processor Design. - Minsu Kim, Hyunjun Kim, Yong Man Ro:
Speaker-adaptive Lip Reading with User-dependent Padding. - Xinyuanmeng Yao, Xiao Ma:
A Balanced Tree Approach to Construction of Length-Compatible Polar Codes. - Amna Arouj, Ahmed M. Abdelmoniem:
Towards Energy-Aware Federated Learning on Battery-Powered Clients. - Hang Hu, Zhao Song, Omri Weinstein, Danyang Zhuo:
Training Overparametrized Neural Networks in Sublinear Time. - Yikai Bian, Le Hui, Jianjun Qian, Jin Xie:
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching. - Manoosh Samiei, Ruofeng Li:
Object Detection with Deep Reinforcement Learning. - Yelai Feng, Huaixi Wang, Hongyi Lu, Chao Chang, Lei Luo, Fang Yang:
A Novel Faster All-Pair Shortest Path Algorithm Based on the Matrix Multiplication for GPUs. - Kai Jia, Martin C. Rinard, Yichen Yang:
Mixed Capability Games. - Xin Jin, Shu Zhao, Le Zhang, Xin Zhao, Qiang Deng, Chaoen Xiao:
Attribute Controllable Beautiful Caucasian Face Generation by Aesthetics Driven Reinforcement Learning. - Zhilong Chen, Xiaochong Lan, Jinghua Piao, Yunke Zhang, Yong Li:
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China. - Xinghui Zhou, Xin Jin, Jianwen Lv, Heng Huang, Ming Mao, Shuai Cui:
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2. - Yifei Wang, Shiyang Chen, Guobin Chen, Ethan Shurberg, Hang Liu, Pengyu Hong:
Motif-based Graph Representation Learning with Application to Chemical Molecules. - Xin Huang, Xiaoyu Tian, Junru Gu, Qiao Sun, Hang Zhao:
VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction. - Farhad Aghili:
Machine Learning for LiDAR-Based Navigation System. - Hang Yan, Yu Sun, Xiaonan Li, Xipeng Qiu:
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition. - Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Jingyi Zhang, Philip S. Yu:
Automating DBSCAN via Deep Reinforcement Learning. - Hyesang Cho, Beomsoo Ko, Bruno Clerckx, Junil Choi:
Coverage Increase at THz Frequencies: A Cooperative Rate-Splitting Approach. - Beomsoo Ko, Hwanjin Kim, Junil Choi:
Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation. - Ionut-Alexandru Albu, Stelian Spînu:
Emotion Detection From Tweets Using a BERT and SVM Ensemble Model. - Shehroz S. Khan, Ali Abedi, Tracey J. F. Colella:
Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review. - Mohammad Haghir Ebrahimabadi:
Disentangled Representation Learning Using (β-)VAE and GAN. - Heng Cong, Mingzhu Sun, Duoying Zhou, Xin Zhao:
Multi-target Tracking of Zebrafish based on Particle Filter. - Mohammad Adiban, Kalin Stefanov, Sabato Marco Siniscalchi, Giampiero Salvi:
Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation. - Zhilin Fu, Sangwon Hwang, Jihwan Moon, Haibao Ren, Inkyu Lee:
A Codebook Design for FD-MIMO Systems with Multi-Panel Array. - Choonghan Kim, Gary Geunbae Lee:
High Recall Data-to-text Generation with Progressive Edit. - Wei-Jer Chang, Yeping Hu, Chenran Li, Wei Zhan, Masayoshi Tomizuka:
Analyzing and Enhancing Closed-loop Stability in Reactive Simulation. - Qihua Zhang, Junning Liu, Yuzhuo Dai, Yiyan Qi, Yifan Yuan, Kunlun Zheng, Fan Huang, Xianfeng Tan:
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems. - Saumya Bhatnagar, Tarun Rambha, Gitakrishnan Ramadurai:
An Agent-Based Framework for Fleet Management of First- and Last-Mile Services. - Weixuan Wang, Wei Peng, Chong Hsuan Huang, Haoran Wang:
Positively transitioned sentiment dialogue corpus for developing emotion-affective open-domain chatbots. - Manuel A. Fokam:
Effects of Annotations' Density on Named Entity Recognition Models' Performance in the Context of African Languages. - Zixun Lan, Binjie Hong, Ye Ma, Fei Ma:
More Interpretable Graph Similarity Computation via Maximum Common Subgraph Inference. - Yiheng Lu, Maoguo Gong, Wei Zhao, Kaiyuan Feng, Hao Li:
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification. - Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo:
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. - Vitaly Feldman, Audra McMillan, Kunal Talwar:
Stronger Privacy Amplification by Shuffling for Rényi and Approximate Differential Privacy. - Umar Masud, Ethan Cohen, Ihab Bendidi, Guillaume Bollot, Auguste Genovesio:
Comparison of semi-supervised learning methods for High Content Screening quality control. - Roberto Merco, Francesco Ferrante, Ricardo G. Sanfelice, Pierluigi Pisu:
Robust Output Feedback Control Design in the Presence of Sporadic Measurements. - Lucas Mourot, Ludovic Hoyet, François Le Clerc, Pierre Hellier:
UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup. - Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu:
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. - Prabhakar Ray, Matthew Howard:
Robotic Untangling of Herbs and Salads with Parallel Grippers. - Dennis Vetter, Jesmin Jahan Tithi, Magnus Westerlund, Roberto V. Zicari, Gemma Roig:
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AI. - Tu Anh Dinh, Jeroen den Boef, Joran Cornelisse, Paul Groth:
E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes. - Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yufeng Li:
LAMDA-SSL: Semi-Supervised Learning in Python. - Eric Dericquebourg, Adel Hafiane, Raphaël Canals:
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images. - Anthony Purcell, Ciarán Eising:
Classification of electromagnetic interference induced image noise in an analog video link. - Mohammad Mahdi Azari, Symeon Chatzinotas:
UAVs over mmWave/THz Cellular MEC Networks: A Comparative Study for Energy Efficiency. - Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi:
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning. - Marco Minici, Federico Cinus, Corrado Monti, Francesco Bonchi, Giuseppe Manco:
Cascade-based Echo Chamber Detection. - Kai Jun Eer, Jesus Diaz, Markulf Kohlweiss:
Bottom-up Trust Registry in Self Sovereign Identity. - Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew J. Vowels, Jalal Etesami, Negar Kiyavash:
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect. - Eduard Kamburjan, Nathan Wasser:
The Right Kind of Non-Determinism: Using Concurrency to Verify C Programs with Underspecified Semantics. 1-16 - Gerard Tabone, Adrian Francalanza:
Session Fidelity for ElixirST: A Session-Based Type System for Elixir Modules. 17-36 - Luc Edixhoven, Sung-Shik Jongmans, José Proença, Guillermina Cledou:
Branching Pomsets for Choreographies. 37-52 - Franco Barbanera, Ivan Lanese, Emilio Tuosto:
On Composing Communicating Systems. 53-68 - Matteo Cimini:
Lang-n-Send Extended: Sending Regular Expressions to Monitors. 69-84 - Ke Chen, Dandan Jiang, Bo Wang, Hongxia Wang:
Fisher Matrix Based Fault Detection for PMUs Data in Power Grids. - Oliver Buchholz:
A Means-End Account of Explainable Artificial Intelligence. - M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen:
Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows. - Jingyuan Yang, Rongjun Li, Wei Peng:
ASR Error Correction with Constrained Decoding on Operation Prediction. - Nicolás E. Díaz Ferreyra, Sina Ostendorf, Esma Aïmeur, Maritta Heisel, Matthias Brand:
ENAGRAM: An App to Evaluate Preventative Nudges for Instagram. - Sana Karimian:
Choose qualified instructor for university based on rule-based weighted expert system. - Vinit Hegiste, Tatjana Legler, Martin Ruskowski:
Application of federated learning in manufacturing. - Zakir Hussain Shaik, Rimalapudi Sarvendranath, Erik G. Larsson:
Energy-Efficient Power Allocation for an Underlay Spectrum Sharing RadioWeaves Network. - (Withdrawn) Stability of linear multiagent systems with guaranteed steady-state performance.
- Nicolas F. Chaves-de-Plaza, Prerak Mody, Klaus Hildebrandt, Marius Staring, Huib de Ridder, René van Egmond:
Towards Fast AI-Infused Human-Centered Contouring Workflows for Adaptive Proton Therapy in the Head and Neck. - Long Dai, Jiarong Mao, Xuefeng Fan, Xiaoyi Zhou:
DeepHider: A Multi-module and Invisibility Watermarking Scheme for Language Model. - Jian-Feng Cai, Jae Kyu Choi, Chenchuan Zhou:
Two Stage Continuous Domain Regularization for Piecewise Constant Image Restoration. - Philip E. Bourne, Vivien Bonazzi, Amy Brand, Bonnie Carroll, Ian T. Foster, Ramanathan V. Guha, Robert J. Hanisch, Sallie Ann Keller, Mary Lee Kennedy, Christine R. Kirkpatrick, Barend Mons, Sarah M. Nusser, Michael Stebbins, George O. Strawn, Alex Szalay:
Playing catch-up in building an open research commons. - Leonid Chindelevitch, Elita Jauneikaite, Nicole E. Wheeler, Kasim Allel, Bede Yaw Ansiri-Asafoakaa, Wireko A. Awuah, Denis C. Bauer, Stephan Beisken, Kara Fan, Gary Grant, Michael Graz, Yara Khalaf, Veranja Liyanapathirana, Carlos Montefusco-Pereira, Lawrence Mugisha, Atharv Naik, Sylvia Nanono, Anthony Nguyen, Timothy Rawson, Kessendri Reddy, Juliana M. Ruzante, Anneke Schmider, Roman Stocker, Leonhardt Unruh, Daniel Waruingi, Heather Graz, Maarten van Dongen:
Applying data technologies to combat AMR: current status, challenges, and opportunities on the way forward. - Vinay K. Chaudhri:
Computable Contracts in the Financial Services Industry. - Christian Colot, François Robinet, Geoffrey Nichils, Raphaël Frank:
Connected Vehicle Platforms for Dynamic Insurance. - Ozioma Collins Oguine, Kanyifeechukwu Jane Oguine:
AI in Telemedicine: An Appraisal on Deep Learning-Based Approaches to Virtual Diagnostic Solutions (VDS). - Hakan Yildiz, Axel Küpper, Dirk Thatmann, Sebastian Göndör, Patrick Herbke:
A Tutorial on the Interoperability of Self-sovereign Identities. - Vincent Tonkes, Matthia Sabatelli:
How Well Do Vision Transformers (VTs) Transfer To The Non-Natural Image Domain? An Empirical Study Involving Art Classification. - Preya Shabrina, Behrooz Mostafavi, Mark Abdelshiheed, Min Chi, Tiffany Barnes:
Investigating the Impact of Backward Strategy Learning in a Logic Tutor: Aiding Subgoal Learning towards Improved Problem Solving. - Mattias Brännström, Andreas Theodorou, Virginia Dignum:
Let it RAIN for Social Good. - Mirjana Ivanovic, Serge Autexier, Miltiadis Kokkonidis:
AI Approaches in Processing and Using Data in Personalized Medicine. - Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard:
Teaching Simple Constructive Proofs with Haskell Programs. 54-73 - Jennafer Shae Roberts, Laura N. Montoya:
Decolonisation, Global Data Law, and Indigenous Data Sovereignty. - Zijia Zhong, Liuhui Zhao, Branislav Dimitrijevic, Dejan Besenski, Joyoung Lee:
Assessing Connected Vehicle Data Coverage on New Jersey Roadways. - Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård:
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics. - Zachary Dair, Muhammad Muneeb Saad, Urja Pawar, Samantha Dockray, Ruairi O'Reilly:
Classification of Stress via Ambulatory ECG and GSR Data. - Siddhartha Paul Tiwari:
Knowledge Enhancement and Mobile Technology: Improving Effectiveness and Efficiency. - Qingyang Zhong, Jifan Yu, Zheyuan Zhang, Yiming Mao, Yuquan Wang, Yankai Lin, Lei Hou, Juanzi Li, Jie Tang:
Towards a General Pre-training Framework for Adaptive Learning in MOOCs. - Yifeng Tian, Chaofeng Wang, Ashish Asutosh, Junghoon Woo, Peter Adriaens:
Blockchain-enabled tokenization for sustainable and inclusive infrastructure investment. - Yifeng Tian, Chaofeng Wang, Junghoon Woo, Zheng Lu, Peter Adriaens:
The future of blockchain-enabled tokenization in infrastructure investment and development: A Delphi-based scenario analysis. - Hector G. T. Torres:
The Transform-o-meter: A method to forecast the transformative impact of innovation. - Jennifer Mankoff, Devva Kasnitz, Disability Studies, L. Jean Camp, Jonathan Lazar, Harry Hochheiser:
Areas of Strategic Visibility: Disability Bias in Biometrics. - Sreekrishnan Venkateswaran:
Reflections on the Evolution of Computer Science Education. - Jamie Harris:
The History of AI Rights Research. - Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky:
Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. - Phong Nguyen-Ha, Lam Huynh, Esa Rahtu, Jiri Matas, Janne Heikkilä:
HRF-Net: Holistic Radiance Fields from Sparse Inputs. - Yang Chen, Jianfeng Jiang, Shoumeng Yan, Hui Xu:
STELLA: Sparse Taint Analysis for Enclave Leakage Detection. - Zachary Teed, Lahav Lipson, Jia Deng:
Deep Patch Visual Odometry. - Rui Cao, Qili Gao, Guoping Qiu:
Responsible Urban Intelligence: Towards a Research Agenda. - Václav Skala:
A New Approach to Line-Sphere and Line-Quadrics Intersection Detection and Computation. - Václav Skala:
New Geometric Continuity Solution of Parametric Surfaces. - Václav Skala:
Fast Oexpected(N) Algorithm for Finding Exact Maximum Distance in E2 Instead of O(N2) or O(N lg N). - Sèdjro Salomon Hotegni, Ernest Fokoué:
Efficient Novelty Detection Methods for Early Warning of Potential Fatal Diseases. - F. Martín-Fernández, Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil:
Secure Implementation of a Vehicular Application for the Symbian Platform. - Amparo Fúster-Sabater, Pino Caballero-Gil:
Weak Equivalents for Nonlinear Filtering Functions. - Emily Ruppel, Sihang Liu, Elba Garza, Sukyoung Ryu, Alexandra Silva, Talia Ringer:
Long-Term Mentoring for Computer Science Researchers. - Xin Jin, Qiang Deng, Jianwen Lv, Heng Huang, Hao Lou, Chaoen Xiao:
Aesthetic Language Guidance Generation of Images Using Attribute Comparison. - Rui Claro, Samih Eisa, Miguel L. Pardal:
Lisbon Hotspots: Wi-Fi access point dataset for time-bound location proofs. - Zachary J. Grey, Olga A. Doronina, Andrew Glaws:
Separable Shape Tensors for Aerodynamic Design. - Mughilan Muthupari, Samrat Halder, Asad B. Sayeed, Yuval Marton:
Where's the Learning in Representation Learning for Compositional Semantics and the Case of Thematic Fit. - Da-Yi Wu, Wen-Yi Hsiao, Fu-Rong Yang, Oscar Friedman, Warren Jackson, Scott Bruzenak, Yi-Wen Liu, Yi-Hsuan Yang:
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation. - Grzegorz Ficht, Sven Behnke:
Direct Centroidal Control for Balanced Humanoid Locomotion. - Mingyu Yan, Mo Zou, Xiaocheng Yang, Wenming Li, Xiaochun Ye, Dongrui Fan, Yuan Xie:
Characterizing and Understanding HGNNs on GPUs. - Lihua Chen, Ning Yang, Philip S. Yu:
Time Lag Aware Sequential Recommendation. - Alina Govoruhina, Anastasija Nikiforova:
Digital health shopping assistant with React Native: a simple technological solution to a complex health problem. - Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario:
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. - Chunyu Sun, Xin Tong, Yang Liu:
Semantic Segmentation-Assisted Instance Feature Fusion for Multi-Level 3D Part Instance Segmentation. - Daniel Scheliga, Patrick Mäder, Marco Seeland:
Combining Variational Modeling with Partial Gradient Perturbation to Prevent Deep Gradient Leakage. - Elmira Moussavi, Dominik Sisejkovic, Animesh Singh, Daniyar Kizatov, Rainer Leupers, Sven Ingebrandt, Vivek Pachauri, Farhad Merchant:
A Temperature Independent Readout Circuit for ISFET-Based Sensor Applications. - Anam Tahir, Kai Cui, Heinz Koeppl:
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems. - Sijin Cheng, Olaf Hartig:
LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers (Extended Version). - Shanshan Gu, Shimin Chai, Chenguang Zhou:
Weak Galerkin finite element method for linear poroelasticity problems. - Jiakuo Zuo, Yuanwei Liu:
Reconfigurable Intelligent Surface Assisted NOMA Empowered Integrated Sensing and Communication. - Albert Fannjiang:
3D Unwrapped Phase Retrieval with Coded Aperture is Reducible to Projection Tomography. - Wannaphong Phatthiyaphaibun, Chompakorn Chaksangchaichot, Peerat Limkonchotiwat, Ekapol Chuangsuwanich, Sarana Nutanong:
Thai Wav2Vec2.0 with CommonVoice V8. - Angelos-Christos G. Anadiotis, Ioana Manolescu, Madhulika Mohanty:
Integrating connection search in graph queries. - Yann Koeberle, Stefano Sabatini, Dzmitry Tsishkou, Christophe Sabourin:
Exploring the trade off between human driving imitation and safety for traffic simulation. - Dan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin, John P. Collomosse:
HyperNST: Hyper-Networks for Neural Style Transfer. - Zhe Xie, Weiling Li, Yurong Zhong:
An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks. - Naveen Namashivayam, Krishna Kandalla, Trey White, Nick Radcliffe, Larry Kaplan, Mark Pagel:
Exploring GPU Stream-Aware Message Passing using Triggered Operations. - Gordon Stein, Chan-Jin Chung:
Rapid Development of a Mobile Robot Simulation Environment. - Po-Hsiang Chiu, Manfred Huber:
Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts. - Hitomi Yanaka, Koji Mineshima:
Compositional Evaluation on Japanese Textual Entailment and Similarity. - Fabian Spaeh, Sven Kosub:
Global Evaluation for Decision Tree Learning. - Junseok Park, Inwoo Hwang, Min Whoo Lee, Hyunseok Oh, Min Su Lee, Youngki Lee, Byoung-Tak Zhang:
On the Importance of Critical Period in Multi-stage Reinforcement Learning. - Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang:
From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent. - Najam A. Anjum, Mubashir Husain Rehmani:
Non-Fungible Tokens in Business and Management - A Review. - Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio:
Robust Machine Learning for Malware Detection over Time. - Akhil Jakatdar, Baqiao Liu, Tandy J. Warnow, George Chacko:
AOC; Assembling Overlapping Communities. - Taichi Murayama, Yasuko Matsubara, Yasushi Sakurai:
Mining Reaction and Diffusion Dynamics in Social Activities. - Charles M. Elliott, Thomas Ranner, P. Stepanov:
Evolving finite elements for advection diffusion with an evolving interface. - Théophile Chaumont-Frelet, Victorita Dolean, Maxime Ingremeau:
Efficient approximation of high-frequency Helmholtz solutions by Gaussian coherent states. - Théophile Chaumont-Frelet, Maxime Ingremeau:
Decay of coefficients and approximation rates in Gabor Gaussian frames. - Cecilia Latotzke, Tim Ciesielski, Tobias Gemmeke:
Design of High-Throughput Mixed-Precision CNN Accelerators on FPGA. - Hamdy A. M. Sayedahmed, Emadeldin M. Elgamal, Hesham A. Hefny:
F-802.11P: A Fuzzy Enhancement for ieee 802.11P in Vehicle-TO-Everything Communications. - Luis Badesa, Carlos Matamala, Yujing Zhou, Goran Strbac:
Assigning Shadow Prices to Synthetic Inertia and Frequency Response Reserves from Renewable Energy Sources. - Soo Ling Lim, Randall S. Peterson, Peter J. Bentley, Xiaoran Hu, JoEllyn Prouty McLaren:
Kill Chaos with Kindness: Agreeableness Improves Team Performance Under Uncertainty. - Patricio F. Calatayud:
Pure Data and INScore: Animated notation for new music. - Rodolphe Sepulchre, Thomas Chaffey, Fulvio Forni:
On the incremental form of dissipativity. - Thomas Chaffey, Fulvio Forni, Rodolphe Sepulchre:
Loop Shaping with Scaled Relative Graphs. - Negar Arabzadeh, Mahsa Seifikar, Charles L. A. Clarke:
Unsupervised Question Clarity Prediction Through Retrieved Item Coherency. - Hiroyasu Tsukamoto, Soon-Jo Chung, Benjamin Donitz, Michel D. Ingham, Declan Mages, Yashwanth Kumar Nakka:
Neural-Rendezvous: Learning-based Robust Guidance and Control to Encounter Interstellar Objects. - Ali Atghaei, Ehsan Rahnama, Kiavash Azimi:
Localizing the conceptual difference of two scenes using deep learning for house keeping usages. - Dahlia Shehata, Negar Arabzadeh, Charles L. A. Clarke:
Early Stage Sparse Retrieval with Entity Linking. - Phillip Brown, Austin Brown, Maanak Gupta, Mahmoud Abdelsalam:
Online Malware Classification with System-Wide System Calls in Cloud IaaS. - Louis Annabi:
Intrinsically Motivated Learning of Causal World Models. - Emily Escamilla, Martin Klein, Talya Cooper, Vicky Rampin, Michele C. Weigle, Michael L. Nelson:
The Rise of GitHub in Scholarly Publications. - Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes:
Sports Video Analysis on Large-Scale Data. - Maurantonio Caprolu, Alireza Sadighian, Roberto Di Pietro:
Characterizing the 2022 Russo-Ukrainian Conflict Through the Lenses of Aspect-Based Sentiment Analysis: Dataset, Methodology, and Preliminary Findings. - David Joon Ho, Narasimhan P. Agaram, Marc-Henri Jean, Stephanie D. Suser, Cynthia Chu, Chad M. Vanderbilt, Paul A. Meyers, Leonard H. Wexler, John H. Healey, Thomas J. Fuchs, Meera R. Hameed:
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. - Marwa Abdulhai, Natasha Jaques, Sergey Levine:
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience. - Weihong Lin, Zheng Sun, Chixiang Ma, Mingze Li, Jiawei Wang, Lei Sun, Qiang Huo:
TSRFormer: Table Structure Recognition with Transformers. - Qingguo Hong, Qinyang Tan, Jonathan W. Siegel, Jinchao Xu:
On the Activation Function Dependence of the Spectral Bias of Neural Networks. - Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar:
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams. - Nicola Cotumaccio, Giovanna D'Agostino, Alberto Policriti, Nicola Prezza:
Co-lexicographically ordering automata and regular languages. Part I. - Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman:
Simplified State Space Layers for Sequence Modeling. - Jacques Wainer:
A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets. - Becky Pham, Weiyu Zhang:
Young women's cognition of commercial digital signage in shopping malls: A situated action approach. - Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov:
A physically-informed Deep-Learning approach for locating sources in a waveguide. - Diego Garcia-soto, Huili Chen, Farinaz Koushanfar:
PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications. - Weimin Lyu, Songzhu Zheng, Tengfei Ma, Haibin Ling, Chao Chen:
Attention Hijacking in Trojan Transformers. - Bharath Ramakrishnan, Ruijia Deng, Hassan Ali:
Visual Heart Rate Estimation from RGB Facial Video using Spectral Reflectance. - Amel Dechemi, Vikarn Bhakri, Ipsita Sahin, Arjun Modi, Julya Mestas, Pamodya Peiris, Dannya Enriquez Barrundia, Elena Kokkoni, Konstantinos Karydis:
BabyNet: A Lightweight Network for Infant Reaching Action Recognition in Unconstrained Environments to Support Future Pediatric Rehabilitation Applications. - Ilker Oguz, Jih-Liang Hsieh, Niyazi Ulas Dinç, Ugur Tegin, Mustafa Yildirim, Carlo Gigli, Christophe Moser, Demetri Psaltis:
Programming Nonlinear Propagation for Efficient Optical Learning Machines. - Aleksandr Dekhovich, David M. J. Tax, Marcel H. F. Sluiter, Miguel A. Bessa:
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks. - Krunal Kishor Patel, Guy Desaulniers, Andrea Lodi, Freddy Lécué:
Explainable prediction of Qcodes for NOTAMs using column generation. - Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu:
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. - Jeffrey R. Boland, Lane P. Hughston:
Mathematical Foundations of Complex Tonality. - Alexander Mariona, Homa Esfahanizadeh, Rafael G. L. D'Oliveira, Muriel Médard:
A Bivariate Invariance Principle. - Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan:
Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud. - Christopher Perez, Sayar Karmakar:
An NLP-Assisted Bayesian Time Series Analysis for Prevalence of Twitter Cyberbullying During the COVID-19 Pandemic. - Yunpeng Liu, Jonathan Wilder Lavington, Adam Scibior, Frank Wood:
Vehicle Type Specific Waypoint Generation. - Alexandra Nisenoff, Ranya Sharma, Nick Feamster:
Understanding User Awareness and Behaviors Concerning Encrypted DNS Settings. - Shijun Wang, Hamed Hemati, Jón Guðnason, Damian Borth:
Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. - Hai Van Nguyen, Tan Bui-Thanh:
A Model-Constrained Tangent Manifold Learning Approach for Dynamical Systems. - Jacob Chakareski, Mahmudur Khan, Murat Yuksel:
Towards Enabling Next Generation Societal Virtual Reality Applications for Virtual Human Teleportation. - Ranya Sharma, Nick Feamster, Austin Hounsel:
Measuring the Availability and Response Times of Public Encrypted DNS Resolvers. - Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat:
Wavelet Score-Based Generative Modeling. - Zuher Jahshan, Leonid Yavits:
CoViT: Real-time phylogenetics for the SARS-CoV-2 pandemic using Vision Transformers. - Shaohong Zhong, Andrea Scarinci, Alice Cicirello:
Natural Language Processing for Systems Engineering: Automatic Generation of Systems Modelling Language Diagrams. - Yuting Zhan, Hamed Haddadi, Afra Mashhadi:
Privacy-Aware Adversarial Network in Human Mobility Prediction. - S. Sandra Bae, Rishi Vanukuru, Ruhan Yang, Peter Gyory, Ran Zhou, Ellen Yi-Luen Do, Danielle Albers Szafir:
Cultivating Visualization Literacy for Children Through Curiosity and Play. - M Charity, Julian Togelius:
Aesthetic Bot: Interactively Evolving Game Maps on Twitter. - Sunwoo Ha, Shayan Monadjemi, Roman Garnett, Alvitta Ottley:
A Unified Comparison of User Modeling Techniques for Predicting Data Interaction and Detecting Exploration Bias. - Merrick Campbell, Amel Dechemi, Konstantinos Karydis:
An Integrated Actuation-Perception Framework for Robotic Leaf Retrieval: Detection, Localization, and Cutting. - Hayat Ullah, Arslan Munir:
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework. - Zi Qin Liew, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao, Dong In Kim:
Economics of Semantic Communication System: An Auction Approach. - Jiuyun Hu, Yajun Mei, Sarah Holte, Hao Yan:
Adaptive Resources Allocation CUSUM for Binomial Count Data Monitoring with Application to COVID-19 Hotspot Detection. - Dirk Beyer, Nian-Ze Lee, Philipp Wendler:
Interpolation and SAT-Based Model Checking Revisited: Adoption to Software Verification. - Jing Qian, Hong Wang, Zekun Li, Shiyang Li, Xifeng Yan:
Limitations of Language Models in Arithmetic and Symbolic Induction. - Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. - Gaurav Naithani, Kirsi Pietilä, Riitta Niemistö, Erkki Paajanen, Tero Takala, Tuomas Virtanen:
Subjective Evaluation of Deep Neural Network Based Speech Enhancement Systems in Real-World Conditions. - Yuhan Zhao, Craig Rieger, Quanyan Zhu:
Multi-Agent Learning for Resilient Distributed Control Systems. - Yuzhu Sun, Mien Van, Stephen McIlvanna, Seán F. McLoone, Dariusz Ceglarek:
Adaptive Admittance Control for Safety-Critical Physical Human Robot Collaboration. - Jorge-Luis Barrera, Tzanio V. Kolev, Ketan Mittal, Vladimir Z. Tomov:
Implicit High-Order Meshing using Boundary and Interface Fitting. - Yuzhu Sun, Mien Van, Stephen McIlvanna, Seán F. McLoone, Dariusz Ceglarek:
Fixed-time Integral Sliding Mode Control for Admittance Control of a Robot Manipulator. - Alex Rasla, Michael Beyeler:
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality. - Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes. - Ehsan Saboori, Samar Abdi:
Rapid design space exploration of multi-clock domain MPSoCs with hybrid prototyping. - Mohi Reza, Akmar Chowdhury, Aidan Li, Mahathi Gandhamaneni, Joseph Jay Williams:
Experimenting with Experimentation: Rethinking The Role of Experimentation in Educational Design. - Ted Fujimoto, Samrat Chatterjee, Auroop R. Ganguly:
Ad Hoc Teamwork in the Presence of Adversaries. - Colby Fronk, Linda R. Petzold:
Interpretable Polynomial Neural Ordinary Differential Equations. - Ahmed Omara, Burak Kantarci:
Adversarial Machine Learning-Based Anticipation of Threats Against Vehicle-to-Microgrid Services. - Jiashu Wu, Hao Dai, Yang Wang, Shigen Shen, Chengzhong Xu:
PECCO: A Profit and Cost-oriented Computation Offloading Scheme in Edge-Cloud Environment with Improved Moth-flame Optimisation. - Zexin Pan, Art B. Owen:
Super-polynomial accuracy of multidimensional randomized nets using the median-of-means. - Pavel Czempin, Adam Gleave:
Reducing Exploitability with Population Based Training. - Jinxin Liu, Murat Simsek, Burak Kantarci, Mehran Bagheri, Petar Djukic:
Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection. - Angela M. Zavaleta Bernuy, Ziwen Han, Hammad Shaikh, Qi Yin Zheng, Lisa-Angelique Lim, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
How can Email Interventions Increase Students' Completion of Online Homework? A Case Study Using A/B Comparisons. - Yu Shen, Murat Simsek, Burak Kantarci, Hussein T. Mouftah, Mehran Bagheri, Petar Djukic:
Prior Knowledge based Advanced Persistent Threats Detection for IoT in a Realistic Benchmark. - Fernando J. Yanez, Angela M. Zavaleta Bernuy, Ziwen Han, Michael Liut, Anna N. Rafferty, Joseph Jay Williams:
Increasing Students' Engagement to Reminder Emails Through Multi-Armed Bandits. - Angela M. Zavaleta Bernuy, Qi Yin Zheng, Hammad Shaikh, Jacob Nogas, Anna N. Rafferty, Andrew Petersen, Joseph Jay Williams:
Using Adaptive Experiments to Rapidly Help Students. - François Pomerleau:
Robotics in Snow and Ice. - Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Qian Li, Peter Kraft, Deeptaanshu Kumar, Çagatay Demiralp, Michael Stonebraker:
Machine Learning with DBOS. - Mamoon Obiedat, Sandhya Samarasinghe:
Modelling Socio-ecological Systems: Implementation of an Advanced Fuzzy Cognitive Map Framework for Policy development for addressing complex real-life challenges. - Guangsheng Yu, Ren Ping Liu, J. Andrew Zhang, Y. Jay Guo:
Tamperproof IoT with Blockchain. - Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin:
RWSeg: Cross-graph Competing Random Walks for Weakly Supervised 3D Instance Segmentation. - Mario Michael Krell, Nils Wilshusen, Anett Seeland, Su Kyoung Kim:
Classifier Transfer with Data Selection Strategies for Online Support Vector Machine Classification with Class Imbalance. - Junan Pan, Zhihao Zhao:
Research on restaurant recommendation using machine learning. - Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu:
Ghost-free High Dynamic Range Imaging with Context-aware Transformer. - Taesik Gong, Jongheon Jeong, Taewon Kim, Yewon Kim, Jinwoo Shin, Sung-Ju Lee:
Robust Continual Test-time Adaptation: Instance-aware BN and Prediction-balanced Memory. - Yongke Wu, Xiaoping Xie:
Mixed finite element methods for the ferrofluid model with magnetization paralleled to the magnetic field. - (Withdrawn) Semi-Supervised Junction Tree Variational Autoencoder for Molecular Property Prediction.
- Zhilin Wang, Qin Hu, Minghui Xu, Honglu Jiang:
Blockchain-based Edge Resource Sharing for Metaverse. - Guangsheng Yu, Xu Wang, Ren Ping Liu:
Cross-chain between a Parent Chain and Multiple Side Chains. - Bhavya Ghai, Klaus Mueller:
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias. - Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil, Mohammad Ghavamzadeh:
Robust Reinforcement Learning using Offline Data. - Sungjae Lee, Yoonseo Hur, Subin Park, Kyungyong Lee:
PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances. - Anvay Grover, Rüdiger Ehlers, Loris D'Antoni:
Synthesizing Transducers from Complex Specifications. - Guangyuan Shen, Dehong Gao, Duanxiao Song, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou:
Fast Heterogeneous Federated Learning with Hybrid Client Selection. - Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley:
Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. - Weiqing Gu, Bohan Yang, Ryan Chang:
Machine Learning-based EEG Applications and Markets. - Venktesh Viswanathan, Mukesh K. Mohania, Vikram Goyal:
TagRec++: Hierarchical Label Aware Attention Network for Question Categorization. - Lucas N. Ferreira, Lili Mou, Jim Whitehead, Levi H. S. Lelis:
Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search. - Zhengang Li, Mengshu Sun, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang:
Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. - Zheng Cao, Yi Zhen, Gang Fan, Sheng Gao:
TokenPatronus: A Decentralized NFT Anti-theft Mechanism. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: III. Fourier series multiscale method for linear differential equation with constant coefficients. - Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu:
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. - Marvin Geiselhart, Ahmed Elkelesh, Jannis Clausius, Fei Liang, Wen Xu, Jing Liang, Stephan ten Brink:
Learning Quantization in LDPC Decoders. - Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. - Angelo A. Casulli, Leonardo Robol:
Low-rank tensor structure preservation in fractional operators by means of exponential sums. - Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang:
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. - Federico Bianchi, Stefano Speziali, Andrea Marini, Massimiliano Proietti, Lorenzo Menculini, Alberto Garinei, Gabriele Bellani, Marcello Marconi:
Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System with Convolutional Neural Networks. - Sharan Mourya, Amit Kumar Dutta:
A Reduced-Complexity Maximum-Likelihood Detection with a sub-optimal BER Requirement. - Shoko Niwa, Miki Tanaka, Hitoshi Kiya:
A Detection Method of Temporally Operated Videos Using Robust Hashing. - Pengyu Wang, Chaoqun Wang, Jiankun Wang, Max Q.-H. Meng:
Quadrotor Autonomous Landing on Moving Platform. - Weiwei Jiang, Kangning Yang, Maximiliane Windl, Francesco Chiossi, Benjamin Tag, Sven Mayer, Zhanna Sarsenbayeva:
Current Challenges of Using Wearable Devices for Online Emotion Sensing. - Emil Blixt Hansen, Helge Langseth, Nadeem Iftikhar, Simon Bøgh:
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process. - Bram Vanherle, Tim Vervoort, Nick Michiels, Philippe Bekaert:
Automatic Camera Control and Directing with an Ultra-High-Definition Collaborative Recording System. - Zhipeng Luo, Changqing Zhou, Liang Pan, Gongjie Zhang, Tianrui Liu, Yueru Luo, Haiyu Zhao, Ziwei Liu, Shijian Lu:
Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking with Transformer. - Zhijing Wu, Hua Xu, Jingliang Fang, Kai Gao:
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation. - Fabian Ritz, Thomy Phan, Andreas Sedlmeier, Philipp Altmann, Jan Wieghardt, Reiner N. Schmid, Horst Sauer, Cornel Klein, Claudia Linnhoff-Popien, Thomas Gabor:
Capturing Dependencies within Machine Learning via a Formal Process Model. - Yingzi Fan, Longfei Han, Yue Zhang, Lechao Cheng, Chen Xia, Di Hu:
Dual Domain-Adversarial Learning for Audio-Visual Saliency Prediction. - Ali Araabi, Christof Monz, Vlad Niculae:
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? - Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang:
Multi-View Pre-Trained Model for Code Vulnerability Identification. - Alexander Rind, Djordje Slijepcevic, Matthias Zeppelzauer, Fabian Unglaube, Andreas Kranzl, Brian Horsak:
Trustworthy Visual Analytics in Clinical Gait Analysis: A Case Study for Patients with Cerebral Palsy. - Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. - Dragana Bajovic:
Inaccuracy rates for distributed inference over random networks with applications to social learning. - Yaman Güçlü, Said Hadjout, Martin Campos Pinto:
A broken FEEC framework for electromagnetic problems on mapped multipatch domains. - Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li:
Learning Degradation Representations for Image Deblurring. - Aniello Panariello, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Consistency-based Self-supervised Learning for Temporal Anomaly Localization. - Xiaoheng Jiang, Xinyi Wu, Hisham Cholakkal, Rao Muhammad Anwer, Jiale Cao, Mingliang Xu, Bing Zhou, Yanwei Pang, Fahad Shahbaz Khan:
Multi-scale Feature Aggregation for Crowd Counting. - Faisal N. Abu-Khzam, Henning Fernau, Kevin Mann:
Roman Census: Enumerating and Counting Roman Dominating Functions on Graph Classes. - Shidong Zhang, Zhengchun Zhou, Guolong Cui, Xiaohu Tang, Pingzhi Fan:
A New Low-Redundancy Restricted Array with Reduced Mutual Coupling. - Dinusha Vatsalan, Raghav Bhaskar, Mohamed Ali Kâafar:
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure. - Maurice H. ter Beek, Alessio Ferrari:
Empirical Formal Methods: Guidelines for Performing Empirical Studies on Formal Methods. - Simen Kvaal:
Moreau-Yosida regularization in DFT. - Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach. - Peng Ye, Baopu Li, Tao Chen, Jiayuan Fan, Zhen Mei, Chen Lin, Chongyan Zuo, Qinghua Chi, Wanli Ouyang:
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation. - Maike Schwammberger, Christopher Harper, Gleifer Vaz Alves, Greg Chance, Tony Pipe, Kerstin Eder:
Integrating Formal Verification and Simulation-based Assertion Checking in a Corroborative V&V Process. - Anthony Dell'Eva, Marco Orsingher, Massimo Bertozzi:
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians. - Daiki Takahashi, Ken Kaneiwa:
The Completeness of Reasoning Algorithms for Clause Sets in Description Logic ALC. - Jacqueline Höllig, Cedric Kulbach, Steffen Thoma:
TSInterpret: A unified framework for time series interpretability. - Fahri Wisnu Murti, Samad Ali, George Iosifidis, Matti Latva-aho:
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. - Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio:
Explaining Machine Learning DGA Detectors from DNS Traffic Data. - Samuel Horváth, Konstantin Mishchenko, Peter Richtárik:
Adaptive Learning Rates for Faster Stochastic Gradient Methods. - Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie:
A Fresh Perspective on DNN Accelerators by Performing Holistic Analysis Across Paradigms. - Binghong Chen, Daniel Tarlow, Kevin Swersky, Martin Maas, Pablo Ariel Heiber, Ashish Naik, Milad Hashemi, Parthasarathy Ranganathan:
Learning to Improve Code Efficiency. - Zhouyuan Yu, Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong:
Location Sensing and Beamforming Design for IRS-Enabled Multi-User ISAC Systems. - Konstantinos A. Mountris, Mingjing Li, Richard Schilling, Leiting Dong, Satya N. Atluri, Alicia Casals, Helge A. Wurdemann:
An Explicit Total Lagrangian Fragile Points Method for Finite Deformation of Hyperelastic Materials. - Nuno Miguel Guerreiro, Elena Voita, André F. T. Martins:
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation. - Michael Moortgat, Gijs Wijnholds:
Proceedings End-to-End Compositional Models of Vector-Based Semantics, E2ECOMPVEC@ESSLLI 2022, NUI Galway, Ireland, 15-16 August 2022. EPTCS 366, 2022 [contents] - Yisong Yu, Beihong Jin, Jiageng Song, Beibei Li, Yiyuan Zheng, Wei Zhuo:
Improving Micro-video Recommendation by Controlling Position Bias. - Hafsa Cheddadi, Saad Motahhir, Abdelaziz El Ghzizal:
Google Test/Google Mock to Verify Critical Embedded Software. - Wangmeng Xiang, Chao Li, Yuxuan Zhou, Biao Wang, Lei Zhang:
Language Supervised Training for Skeleton-based Action Recognition. - Yacine Belal, Aurélien Bellet, Sonia Ben Mokhtar, Vlad Nitu:
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning. - Jiarui Fang, Geng Zhang, Jiatong Han, Shenggui Li, Zhengda Bian, Yongbin Li, Jin Liu, Yang You:
A Frequency-aware Software Cache for Large Recommendation System Embeddings. - Zhouyuan Yu, Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong:
IRS-Aided Non-Orthogonal ISAC Systems: Performance Analysis and Beamforming Design. - Ireneusz Mrozek, Nikolai A. Shevchenko, Vyacheslav N. Yarmolik:
Universal Address Sequence Generator for Memory Built-in Self-test. - Preya Shabrina, Samiha Marwan, Andrew Bennison, Min Chi, Thomas W. Price, Tiffany Barnes:
A Multicriteria Evaluation for Data-Driven Programming Feedback Systems: Accuracy, Effectiveness, Fallibility, and Students' Response. - Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. - P. H. M. van Spaendonck:
Verification of the busy-forbidden protocol (using an extension of the cones and foci framework). - Whitney S. Brakefield, Olufunto A. Olusanya, Arash Shaban-Nejad:
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. - Rowdy Chotkan, Jérémie Decouchant, Johan Pouwelse:
Distributed Attestation Revocation in Self-Sovereign Identity. - Pino Caballero-Gil, Francisco Martín-Fernández, Cándido Caballero-Gil:
Using query frequencies in tree-based revocation for certificateless authentication in VANETs. - Pino Caballero-Gil, Cándido Caballero-Gil, Jezabel Molina-Gil:
RFID authentication protocol based on a novel EPC Gen2 PRNG. - M. C. Hernández-Goya, Pino Caballero-Gil:
Analysis of lightweight cryptographic solutions for authentication in IoT. - Maximilian Speicher:
Listen to Users, but Only 85% of the Time: How Black Swans Can Save Innovation in a Data-Driven World. - Emanuele Santellani, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer:
MD-Net: Multi-Detector for Local Feature Extraction. - Adam Dahlgren Lindström, Savitha Sam Abraham:
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical Reasoning. - Xiang Li, Changhe Song, Xianhao Wei, Zhiyong Wu, Jia Jia, Helen Meng:
Towards Cross-speaker Reading Style Transfer on Audiobook Dataset. - Serena Serafina Serbinowska, Taylor T. Johnson:
BehaVerify: Verifying Temporal Logic Specifications for Behavior Trees. - Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Xiwei Xu, Liming Zhu, Qinghua Lu:
Prompt-tuned Code Language Model as a Neural Knowledge Base for Type Inference in Statically-Typed Partial Code. - Chris Junchi Li, Dongruo Zhou, Quanquan Gu, Michael I. Jordan:
Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium. - Andrea Burattin, Hugo A. López, Lasse Starklit:
A Monitoring and Discovery Approach for Declarative Processes Based on Streams. - Sen Zheng, Renate A. Schmidt:
Saturation-based Boolean conjunctive query answering and rewriting for the guarded quantification fragments. - George Dimas, Eirini Cholopoulou, Dimitris K. Iakovidis:
E Pluribus Unum Interpretable Convolutional Neural Networks. - Roberta C. Ramos Mota, Nivan Ferreira, Julio Daniel Silva, Marius Horga, Marcos Lage, Luis Ceferino, Usman R. Alim, Ehud Sharlin, Fabio Miranda:
A Comparison of Spatiotemporal Visualizations for 3D Urban Analytics. - Andres F. Castro Torres, Aliakbar Akbaritabar:
Methodological monotheism across fields of science in contemporary quantitative research. - Sipeng Zheng, Qi Zhang, Bei Liu, Qin Jin, Jianlong Fu:
Exploring Anchor-based Detection for Ego4D Natural Language Query. - Zhujun Zhang:
A Note on the Computational Complexity of Selfmate and Reflexmate Chess Problems. - Guy Rotman, Roi Reichart:
Multi-task Active Learning for Pre-trained Transformer-based Models. - Emeka Obiodu, Aravindh Raman, Abdullahi Abubakar, Simone Mangiante, Nishanth Sastry, Hamid Aghvami:
DSM-MoC as Baseline: Reliability Assurance via Redundant Cellular Connectivity in Connected Cars. - Zhongliang Jiang, Nehil Danis, Yuan Bi, Mingchuan Zhou, Markus Krönke, Thomas Wendler, Nassir Navab:
Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization. - Venelin Kovatchev:
Paraphrasing, textual entailment, and semantic similarity above word level. - Heinrich van Deventer, Anna S. Bosman:
ATLAS: Universal Function Approximator for Memory Retention. - Tomas Sauer, A. Michael Stock:
Haar Wavelets, Gradients and Approximate TV Regularization. - Daniel Elfverson, Robert Scheichl, Simon Weissmann, Francisco Alejandro DiazDelaO:
Adaptive multilevel subset simulation with selective refinement. - Hadi Wazni, Kin Ian Lo, Lachlan McPheat, Mehrnoosh Sadrzadeh:
A Quantum Natural Language Processing Approach to Pronoun Resolution. - Yeqi Gao, Lianke Qin, Zhao Song, Yitan Wang:
A Sublinear Adversarial Training Algorithm. - Andreas Abels, Leon Ladewig, Kevin Schewior, Moritz Stinzendörfer:
Knapsack Secretary Through Boosting. - Zhongliang Jiang, Yuan Gao, Le Xie, Nassir Navab:
Towards Autonomous Atlas-based Ultrasound Acquisitions in Presence of Articulated Motion. - Zitong Yu, Rizhao Cai, Zhi Li, Wenhan Yang, Jingang Shi, Alex C. Kot:
Benchmarking Joint Face Spoofing and Forgery Detection with Visual and Physiological Cues. - Alexander I. Barvinok:
Computing theta function. - Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das:
Active Sampling of Multiple Sources for Sequential Estimation. - Sarah Azouvi, Marko Vukolic:
Pikachu: Securing PoS Blockchains from Long-Range Attacks by Checkpointing into Bitcoin PoW using Taproot. - Kasthuri Jayarajah, Aryya Gangopadhyay, Nicholas R. Waytowich:
TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human-Drone Teams. - Evagoras Stylianou, Lorenz Welter, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi:
Equivalence of Insertion/Deletion Correcting Codes for d-dimensional Arrays. - Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang:
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization. - Jordi Paillisse, Alberto Rodríguez-Natal, Fabio Maino, Albert Cabellos:
A Reflection on the Organic Growth of the Internet Protocol Stack. - Suhyeon Lee, Donghwan Lee, Seungjoo Kim:
Block Double-Submission Attack: Block Withholding Can Be Self-Destructive. - Yuankun Fu, Fengguang Song:
Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. - Hongyang Du, Jiazhen Liu, Dusit Niyato, Jiawen Kang, Zehui Xiong, Junshan Zhang, Dong In Kim:
Attention-aware Resource Allocation and QoE Analysis for Metaverse xURLLC Services. - Nicole Fronda, Houssam Abbas:
Differentiable Inference of Temporal Logic Formulas. - Hamed Hojatian, Jérémy Nadal, Jean-François Frigon, François Leduc-Primeau:
Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming. - Jiyang Zhang, Sheena Panthaplackel, Pengyu Nie, Junyi Jessy Li, Milos Gligoric:
CoditT5: Pretraining for Source Code and Natural Language Editing. - Matthew Kopec, Meica Magnani, Vance Ricks, Roben Torosyan, John Basl, Nicholas Miklaucic, Felix Muzny, Ronald Sandler, Christo Wilson, Adam Wisniewski-Jensen, Cora Lundgren, Kevin Mills, Mark Wells:
The Effectiveness of Embedded Values Analysis Modules in Computer Science Education: An Empirical Study. - Daniel A. Epstein, Fannie Liu, Andrés Monroy-Hernández, Dennis Wang:
Revisiting Piggyback Prototyping: Examining Benefits and Tradeoffs in Extending Existing Social Computing Systems. - Xiaoran Li, Toshiaki Takano:
The Analysis about Building Cross-lingual Sememe Knowledge Base Based on Deep Clustering Network. - Jiachen Li, Chuanbo Hua, Jinkyoo Park, Hengbo Ma, Victoria Magdalena Dax, Mykel J. Kochenderfer:
EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction. - Magali Bardet, Pierre Briaud, Maxime Bros, Philippe Gaborit, Jean-Pierre Tillich:
Revisiting Algebraic Attacks on MinRank and on the Rank Decoding Problem. - Francisco Martín-Fernández, Pino Caballero-Gil, Cándido Caballero-Gil:
Poster: Revocation in VANETs Based on k-ary Huffman Trees. - S. W. Hsiao, P. Y. Chu:
Sequence Feature Extraction for Malware Family Analysis via Graph Neural Network. - Tzu-Yun Chien, Chih-Ya Shen:
Customized Watermarking for Deep Neural Networks via Label Distribution Perturbation. - Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong:
IRS-Based Integrated Location Sensing and Communication for mmWave SIMO Systems. - Matt Luckcuck, Marie Farrell, Angelo Ferrando, Rafael C. Cardoso, Louise A. Dennis, Michael Fisher:
A Compositional Approach to Verifying Modular Robotic Systems. - Christos Thrampoulidis, Ganesh R. Kini, Vala Vakilian, Tina Behnia:
Imbalance Trouble: Revisiting Neural-Collapse Geometry. - Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? - Thao Nguyen, Gabriel Ilharco, Mitchell Wortsman, Sewoong Oh, Ludwig Schmidt:
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP. - Lik Hang Lee, Carlos Bermejo Fernandez, Ahmad Yousef Alhilal, Tristan Braud, Simo Hosio, Pan Hui, Esmée Henrieke Anne de Haas:
Beyond the Blue Sky of Multimodal Interaction: A Centennial Vision of Interplanetary Virtual Spaces in Turn-based Metaverse. - Pawel Przybylowicz:
Foundations of Monte Carlo methods and stochastic simulations - From Monte Carlo Lebesgue integration to weak approximation of SDEs. - Ammar Alsheghri, Farnoosh Ghadiri, Ying Zhang, Olivier Lessard, Julia Keren, Farida Cheriet, François Guibault:
Semi-supervised segmentation of tooth from 3D Scanned Dental Arches. - Ahura Jami, Mahdi Razzaghpour, Hussein M. Alnuweiri, Yaser P. Fallah:
Augmented Driver Behavior Models for High-Fidelity Simulation Study of Crash Detection Algorithms. - Xin Su, Sai-Mang Pun:
Fast Online Adaptive Enrichment for Poroelasticity with High Contrast. - Jackson Trager, Alireza S. Ziabari, Aida Mostafazadeh Davani, Preni Golazizian, Farzan Karimi-Malekabadi, Ali Omrani, Zhihe Li, Brendan Kennedy, Nils Karl Reimer, Melissa Reyes, Kelsey Cheng, Mellow Wei, Christina Merrifield, Arta Khosravi, Evans Alvarez, Morteza Dehghani:
The Moral Foundations Reddit Corpus. - Michele Bucelli, Alberto Zingaro, Pasquale Claudio Africa, Ivan Fumagalli, Luca Dede', Alfio Quarteroni:
A mathematical model that integrates cardiac electrophysiology, mechanics and fluid dynamics: application to the human left heart. - Aditya Aggarwal, Siddhartha Gairola, Uddeshya Upadhyay, Akshay P. Vasishta, Diwakar Rao, Aditya Goyal, Kaushik Murali, Nipun Kwatra, Mohit Jain:
Towards Automating Retinoscopy for Refractive Error Diagnosis. - Latif U. Khan, Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Kashif Bilal, Zhu Han, Choong Seon Hong:
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges. - Felix Stutz, Damien Zufferey:
Comparing Channel Restrictions of Communicating State Machines, High-level Message Sequence Charts, and Multiparty Session Types. - Jiahao Deng, Eli T. Brown:
SSDBCODI: Semi-Supervised Density-Based Clustering with Outliers Detection Integrated. - Amr Gomaa, Alexandra Alles, Elena Meiser, Lydia Helene Rupp, Marco Molz, Guillermo Reyes:
What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving. - John Rick Manzanares, Paul Samuel Ignacio:
Stable Homology-Based Cycle Centrality Measures for Weighted Graphs. - Anil Yaman, Joel Z. Leibo, Giovanni Iacca, Sang Wan Lee:
The emergence of division of labor through decentralized social sanctioning. - Congyi Zhang, Lei Yang, Nenglun Chen, Nicholas Vining, Alla Sheffer, Francis C. M. Lau, Guoping Wang, Wenping Wang:
CreatureShop: Interactive 3D Character Modeling and Texturing from a Single Color Drawing. - Mia Mohammad Imran, Yashasvi Jain, Preetha Chatterjee, Kostadin Damevski:
Data Augmentation for Improving Emotion Recognition in Software Engineering Communication. - Jorge Hermosillo Valadez, Eliseo Morales-González, Francis C. Fernández-Reyes, Manuel Montes-y-Gómez, Jorge Fuentes-Pacheco, Juan M. Rendón-Mancha:
Exploiting Hierarchical Dependence Structures for Unsupervised Rank Fusion in Information Retrieval. - Brian Lester, Joshua Yurtsever, Siamak Shakeri, Noah Constant:
Reducing Retraining by Recycling Parameter-Efficient Prompts. - Vivek Nair, Dawn Song:
Multi-Factor Key Derivation Function (MFKDF). - Gabriel Ilharco, Mitchell Wortsman, Samir Yitzhak Gadre, Shuran Song, Hannaneh Hajishirzi, Simon Kornblith, Ali Farhadi, Ludwig Schmidt:
Patching open-vocabulary models by interpolating weights. - Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen:
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. - Gill Barequet, Shion Fukuzawa, Michael T. Goodrich, David M. Mount, Martha C. Osegueda, Evrim Ozel:
Diamonds are Forever in the Blockchain: Geometric Polyhedral Point-Set Pattern Matching. - Vivek Nair, Gonzalo Munilla Garrido, Dawn Song:
Going Incognito in the Metaverse. - Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim:
Symbolic Music Loop Generation with Neural Discrete Representations. - Akshay Thakur, Tapas Tripura, Souvik Chakraborty:
Multi-fidelity wavelet neural operator with application to uncertainty quantification. - Zhong Ji, Zhishen Hou, Xiyao Liu, Yanwei Pang, Xuelong Li:
Memorizing Complementation Network for Few-Shot Class-Incremental Learning. - Seong-Kyun Mok, Seoyeon Kang, Jeongwoo Kim, Eun-Sun Cho, Seokwoo Choi:
SSLEM: A Simplifier for MBA Expressions based on Semi-linear MBA Expressions and Program Synthesis. - Ibrahim Yilmaz:
FIGO: Enhanced Fingerprint Identification Approach Using GAN and One Shot Learning Techniques. - Tiankai Hang, Huan Yang, Bei Liu, Jianlong Fu, Xin Geng, Baining Guo:
Language-Guided Face Animation by Recurrent StyleGAN-based Generator. - Xujie Zhang, Yu Sha, Michael C. Kampffmeyer, Zhenyu Xie, Zequn Jie, Chengwen Huang, Jianqing Peng, Xiaodan Liang:
ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Design. - Qihan Guo, Siwei Wang, Jun Zhu:
Regret Analysis for Hierarchical Experts Bandit Problem. - Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Qian Qu, Jiancheng Lv:
Draft, Command, and Edit: Controllable Text Editing in E-Commerce. - Anj Simmons, Rajesh Vasa, Antonio Giardina:
SignalKG: Towards Reasoning about the Underlying Causes of Sensor Observations. - Ke Xu, Jianqiao Wangni, Yifan Zhang, Deheng Ye, Jiaxiang Wu, Peilin Zhao:
Quantized Adaptive Subgradient Algorithms and Their Applications. - Yufei Wang, David Held, Zackory Erickson:
Visual Haptic Reasoning: Estimating Contact Forces by Observing Deformable Object Interactions. - Jérôme Taupin, Yassir Jedra, Alexandre Proutière:
Best Policy Identification in Linear MDPs. - Yujiang Pu, Xiaoyu Wu:
Locality-aware Attention Network with Discriminative Dynamics Learning for Weakly Supervised Anomaly Detection. - Zhemin Li, Tao Sun, Hongxia Wang, Bao Wang:
Adaptive and Implicit Regularization for Matrix Completion. - Timothy J. Woinoski, Ivan V. Bajic:
Towards Automated Key-Point Detection in Images with Partial Pool View. - Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang:
Self-Knowledge Distillation via Dropout. - Xiaowen Cao, Zhonghao Lyu, Guangxu Zhu, Jie Xu, Lexi Xu, Shuguang Cui:
An Overview on Over-the-Air Federated Edge Learning. - Zijian Hu, Meng Jiang:
Heterogeneous Line Graph Transformer for Math Word Problems. - Zihan Ding, Zi-han Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Xiaolin Wei, Si Liu:
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding. - Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang:
Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. - Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon:
Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks. - Uri Itai, Natan Katz:
Goodness of Fit Metrics for Multi-class Predictor. - Zhenyu Charlus Zhang, Anas Chaaban:
On Achievable Rates of Evenly-Spaced Discrete Uniform Distributions in the IM/DD Broadcast Channel. - Ahmet Kurnaz, Scott A. Hale:
Top Gear or Black Mirror: Inferring Political Leaning From Non-Political Content. - Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan:
On the Value of Behavioral Representations for Dense Retrieval. - Zhonghua Sun, Cunsheng Ding, Xiaoqiang Wang:
Two Classes of Constacyclic Codes with Variable Parameters. - Shuwei Zhai, Guotai Wang, Xiangde Luo, Qiang Yue, Kang Li, Shaoting Zhang:
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation. - Frank Neumann, Carsten Witt:
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions. - Shujing Zhao, Nick Birbilis:
Searching for chromate replacements using natural language processing and machine learning algorithms. - Komal Pathade:
Correlating Effectiveness of Pointer Analysis Techniques with Patterns in Embedded System Code. - Farhana Siddiqua, Mosarrat Jahan:
A Trust-Based Malicious RSU Detection Mechanism in Edge-Enabled Vehicular Ad Hoc Networks. - Honghong Zhao, Baoxin Wang, Dayong Wu, Wanxiang Che, Zhigang Chen, Shijin Wang:
Overview of CTC 2021: Chinese Text Correction for Native Speakers. - Feng Wu, Li Zhu, Yuelin Zhao, Kailing Zhang:
A filtering technique for the matrix power series being near-sparse. - Dang Quang A, Nguyen Thanh Huong, Dang Quang Long:
Existence results and numerical solution of fully fourth order nonlinear functional differential equations. - Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. - Xinrui Li, Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang:
Modular Extremely Large-Scale Array Communication: Near-Field Modelling and Performance Analysis. - Francesco Ferrante, Sophie Tarbouriech:
Sampled-data control design for systems with quantized actuators. - Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan:
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. - Georgia R. Kouvoutsakis, Elena Kokkoni, Konstantinos Karydis:
Using Infant Limb Movement Data to Control Small Aerial Robots. - Manabu Hagiwara:
Quantum Deletion Codes derived from Classical Deletion Codes (Extended Abstract). - Inan Evin, Perttu Hämäläinen, Christian Guckelsberger:
Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors. - Yufei Bo, Yiheng Duan, Shuo Shao, Meixia Tao:
Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems. - Junye Chen, Fangdi Li, Futong An, Chen Yang, Hongzhan Song, Shangsheng Wen, Weipeng Guan:
A Cooperative Positioning Flamework for Robot and Smart Phone Based on Visible Light Communication. - Moisés Lodeiro-Santiago, Pino Caballero-Gil, Cándido Caballero-Gil, Félix Herrera Priano:
Improving Tourist Experience Through an IoT Application Based on FatBeacons. - Chenlong Zhang, Dawei Li, Haodong Li:
Robust Coordinated Longitudinal Control of MAV Based on Energy State. - Bernd Feist, Mario Bebendorf:
Fractional Laplacian - Quadrature rules for singular double integrals in 3D. - Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang:
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. - Jean-Philippe Bernardy, Shalom Lappin:
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax. 9-22 - Kin Ian Lo, Mehrnoosh Sadrzadeh, Shane Mansfield:
A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT. 23-34 - Ido Benbaji, Omri Doron, Adèle Hénot-Mortier:
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic. 35-49 - Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. - Hao Chen:
New Non-Equivalent (Self-Dual) MDS Codes From Elliptic Curves. - Nayra Rodríguez-Pérez, Josué Toledo-Castro, Pino Caballero-Gil, Iván Santos-González, Candelaria Hernández-Goya:
Secure ambient intelligence prototype for airports. - Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay:
Learning Point Processes using Recurrent Graph Network. - Bright Kudzaishe Mahembe, Clement N. Nyirenda:
A Modified UDP for Federated Learning Packet Transmissions. - Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
General Cutting Planes for Bound-Propagation-Based Neural Network Verification. - Xinyi Chen:
Does Cross-Field Influence Regional and Field-Specific Distributions of Highly Cited Researchers? - Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. - Sheng-Nan Li, Carlo Campajola, Claudio J. Tessone:
Twisted by the Pools: Detection of Selfish Anomalies in Proof-of-Work Mining. - David Tayouri, Nick Baum, Asaf Shabtai, Rami Puzis:
A Survey of MulVAL Extensions and Their Attack Scenarios Coverage. - Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao:
FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing. - Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma:
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval. - Keenan Jones, Enes Altuncu, Virginia N. L. Franqueira, Yichao Wang, Shujun Li:
A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception. - Yun-Ya Huang, Chih-Ya Shen:
Learning Computation Bounds for Branch-and-Bound Algorithms to k-plex Extraction. - Edwin J. Beggs, John V. Tucker:
The dynamics of belief: continuously monitoring and visualising complex systems. - Laixi Shi, Yuejie Chi:
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. - Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang:
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. - Neel Trivedi, Ravi Kiran Sarvadevabhatla:
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition. - Shaina Raza, Deepak John Reji, Chen Ding:
Dbias: Detecting biases and ensuring Fairness in news articles. - Jingsong Lv, Zhao Li, Hongyang Chen, Yao Qi, Chunqi Wu:
Path-aware Siamese Graph Neural Network for Link Prediction. - Shubhendu Jena, Franck Multon, Adnane Boukhayma:
Neural Mesh-Based Graphics. - Harshvardhan J. Pandit:
Proposals for Resolving Consenting Issues with Signals and User-side Dialogues. - Meiling Fang, Fadi Boutros, Naser Damer:
Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection. - Sherwin Bahmani, Oliver Hahn, Eduard Zamfir, Nikita Araslanov, Daniel Cremers, Stefan Roth:
Semantic Self-adaptation: Enhancing Generalization with a Single Sample. - Alexey Kutalev, Alisa Lapina:
Empirical investigations on WVA structural issues. - Vasiliy Usatyuk:
An Modified Cole's Importance Sampling Method For Low Error Floor QC-LDPC Codes Construction. - Xin Jin, Wu Zhou, Xinghui Zhou, Shuai Cui, Le Zhang, Jianwen Lv, Shu Zhao:
Aesthetic Visual Question Answering of Photographs. - Niall O' Mahony, Sean Campbell, Lenka Krpalkova, Joseph Walsh, Daniel Riordan:
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning. - Francesco Ferrante, Giorgio Valmorbida:
Stability Analysis of a Class of Discontinuous Discrete-Time Systems. - Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. - Jianan Han, Shaoxing Zhang, Aidong Men, Yang Liu, Ziming Yao, Yan Yan, Qingchao Chen:
Seeing your sleep stage: cross-modal distillation from EEG to infrared video. - Mhd Saria Allahham, Amr Mohamed, Aiman Erbad, Hossam S. Hassanein:
On the Modeling of Reliability in Extreme Edge Computing Systems. - Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Wenqiao Zhang, Jiaxu Miao, Shiliang Pu, Fei Wu:
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding. - Alfredo García, Javier Tejel, Birgit Vogtenhuber, Alexandra Weinberger:
Empty Triangles in Generalized Twisted Drawings of Kn. - Sohail Ahmed Khan, Duc-Tien Dang-Nguyen:
Hybrid Transformer Network for Deepfake Detection. - Guozheng Li, Runfei Li, Zicheng Wang, Chi Harold Liu, Min Lu, Guoren Wang:
HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data. - Zhuo-Xu Cui, Sen Jia, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang:
K-UNN: k-Space Interpolation With Untrained Neural Network. - Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb:
Joint reconstruction-segmentation on graphs. - Elizabeth Fons, Alejandro Sztrajman, Yousef El-Laham, Alexandros Iosifidis, Svitlana Vyetrenko:
HyperTime: Implicit Neural Representation for Time Series. - Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz:
Differencing based Self-supervised pretraining for Scene Change Detection. - Ying Xu, Philipp Terhörst, Kiran B. Raja, Marius Pedersen:
A Comprehensive Analysis of AI Biases in DeepFake Detection With Massively Annotated Databases. - Florian Wetzels, Christoph Garth:
A Deformation-based Edit Distance for Merge Trees. - Muhammad N. ElNokrashy, Amr Hendy, Mohamed Maher, Mohamed Afify, Hany Hassan Awadalla:
Language Tokens: A Frustratingly Simple Approach Improves Zero-Shot Performance of Multilingual Translation. - Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng:
MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. - Davide Alessandro Coccomini, Giuliano Zara:
Predicting Tornadoes days ahead with Machine Learning. - Patrick Ayoup, Diego Elias Costa, Emad Shihab:
Achievement Unlocked: A Case Study on Gamifying DevOps Practices in Industry. - Soeren Becker, Tobias Pfandzelter, Nils Japke, David Bermbach, Odej Kao:
Network Emulation in Large-Scale Virtual Edge Testbeds: A Note of Caution and the Way Forward. - Lihang Liu, Donglong He, Xiaomin Fang, Shanzhuo Zhang, Fan Wang, Jingzhou He, Hua Wu:
GEM-2: Next Generation Molecular Property Prediction Network with Many-body and Full-range Interaction Modeling. - Biying Fu, Naser Damer:
Face Morphing Attacks and Face Image Quality: The Effect of Morphing and the Unsupervised Attack Detection by Quality. - Mahbubur Rahman, Abusayeed Saifullah:
Transparent and Tamper-Proof Event Ordering in the Internet of Things Platforms. - Théophile Chaumont-Frelet, Martin Vohralík:
Constrained and unconstrained stable discrete minimizations for p-robust local reconstructions in vertex patches in the de Rham complex. - Shangfei Yin, Qinglin Wang, Ruochen Hao, Tianyang Zhou, Songzhu Mei, Jie Liu:
Optimizing Irregular-Shaped Matrix-Matrix Multiplication on Multi-Core DSPs. - Daniel Schleich, Sven Behnke:
Predictive Angular Potential Field-based Obstacle Avoidance for Dynamic UAV Flights. - Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu:
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. - Dennis Trautwein, Aravindh Raman, Gareth Tyson, Ignacio Castro, Will Scott, Moritz Schubotz, Bela Gipp, Yiannis Psaras:
Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web. - Shuai Ma, Haihong Sheng, Ruixin Yang, Hang Li, Youlong Wu, Chao Shen, Naofal Al-Dhahir, Shiyin Li:
Covert Beamforming Design for Integrated Radar Sensing and Communication Systems. - Yingmeng Ge, Zhenhao Ji, Yongming Huang, Zaichen Zhang, Xiaohu You, Chuan Zhang:
Automatic Hybrid-Precision Quantization for MIMO Detectors. - Kun Zhou, Berrak Sisman, Rajib Rana, Björn W. Schuller, Haizhou Li:
Speech Synthesis with Mixed Emotions. - Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen R. Aylward, Andinet Enquobahrie:
Optimal Transport Features for Morphometric Population Analysis. - Simone Chiocchetti, Michael Dumbser:
An exactly curl-free staggered semi-implicit finite volume scheme for a first order hyperbolic model of viscous flow with surface tension. - Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni:
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone. - Tareq Si Salem, Georgios Iosifidis, Giovanni Neglia:
Enabling Long-term Fairness in Dynamic Resource Allocation. - Alejandro Cohen, Rafael G. L. D'Oliveira, Chia-Yi Yeh, Hichem Guerboukha, Rabi Shrestha, Zhaoji Fang, Edward W. Knightly, Muriel Médard, Daniel M. Mittleman:
Absolute Security in High-Frequency Wireless Links. - Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos, Jinhua Zhao:
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks. - Yasmin Moslem, Rejwanul Haque, John D. Kelleher, Andy Way:
Domain-Specific Text Generation for Machine Translation. - Chuhao Qin, Fethi Candan, Lyudmila S. Mihaylova, Evangelos Pournaras:
3, 2, 1, Drones Go! A Testbed to Take off UAV Swarm Intelligence for Distributed Sensing. - Ahmad H. Eid, Francisco G. Montoya:
A Geometric Procedure for Computing Differential Characteristics of Multi-phase Electrical Signals using Geometric Algebra. - Christian Badolato:
Privacy Preservation Among Honest-but-Curious Edge Nodes: A Survey. - Yucong Liu, Shixing Yu, Tong Lin:
Regularizing Deep Neural Networks with Stochastic Estimators of Hessian Trace. - Lesi Chen, Luo Luo:
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization. - Hongchao Zhang, Shiyu Cheng, Luyao Niu, Andrew Clark:
Barrier Certificate based Safe Control for LiDAR-based Systems under Sensor Faults and Attacks. - Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao:
Interactive Code Generation via Test-Driven User-Intent Formalization. - Robert Ferens, Marek Szykula:
Completely Reachable Automata: A Polynomial Solution and Quadratic Bounds for the Subset Reachability Problem. - Junkun Chen, Yu-Xiong Wang:
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees. - Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani:
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild. - Akshansh Mishra, Rakesh Morisetty, Rajat Sarawagi:
Forecasting the production of Distillate Fuel Oil Refinery and Propane Blender net production by using Time Series Algorithms. - Tommaso Grigoletto, Francesco Ticozzi:
Algebraic Reduction of Hidden Markov Models. - Jie Zhu, Leye Wang, Xiao Han:
Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment. - Elvis Johnson, Xiaochen Tang, Sriramacharyulu Samudrala:
WeightMom: Learning Sparse Networks using Iterative Momentum-based pruning. - Eshwar J. Savitha, Roger Andrew Sauer:
A new anisotropic bending model for nonlinear shells: Comparison with existing models and isogeometric finite element implementation. - Chao Duan, Takashi Nishikawa, Adilson E. Motter:
Prevalence and scalable control of localized networks. - Stefan Roth, Aydin Sezgin, Roman Bessel, H. Vincent Poor:
Approximation-based Threshold Optimization from Single Antenna to Massive SIMO Authentication. - Alexey N. Korovin, Artem I. Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen A. Budennyy:
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells. - Melody G. Whitehead, Andrew Curtis:
Modular interface for managing cognitive bias in experts. - Michael Dinitz, Jeremy T. Fineman, Seth Gilbert, Calvin Newport:
Smoothed Analysis of Information Spreading in Dynamic Networks. - Awnon Bhowmik, Emon Hossain, Mahmudul Hasan:
A review of cryptosystems based on multi layer chaotic mappings. - Na-Young Ahn, Dong Hoon Lee:
Security of IoT Device: Perspective Forensic/Anti-Forensic Issues on Invalid Area of NAND Flash Memory. - N. Annamalai:
On Zero-Divisor Graph of the ring Fp+uFp+u2 Fp. - Fa-Hsun Chen, Shen-Chang Huang, Yu-Cheng Lu, Tony Tan:
Reducing NEXP-complete problems to DQBF. - Esther Galby, Sándor Kisfaludi-Bak, Dániel Marx, Roohani Sharma:
Subexponential Parameterized Directed Steiner Network Problems on Planar Graphs: a Complete Classification. - Dimitrios Tyrovolas, Prodromos-Vasileios Mekikis, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Christos K. Liaskos, George K. Karagiannidis:
Energy-Aware Design of UAV-mounted RIS Networks for IoT Data Collection. - Florian Tambon, Foutse Khomh, Giuliano Antoniol:
A Probabilistic Framework for Mutation Testing in Deep Neural Networks. - Jeffrey O. Shallit, Sonja Linghui Shan, Kai-Hsiang Yang:
Automatic Sequences in Negative Bases and Proofs of Some Conjectures of Shevelev. - Michael Y. Li, Erin Grant, Thomas L. Griffiths:
Gaussian process surrogate models for neural networks. - Ian Convy, K. Birgitta Whaley:
Interaction Decompositions for Tensor Network Regression. - Bin Xiao, Murat Simsek, Burak Kantarci, Ala Abu Alkheir:
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach. - Mukul Singh, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen:
CORNET: A neurosymbolic approach to learning conditional table formatting rules by example. - Qin Yang, Ramviyas Parasuraman:
BSAC: Bayesian Strategy Network Based Soft Actor-Critic in Deep Reinforcement Learning. - Gilchan Park, Julia Rayz, Line Pouchard:
Figure Descriptive Text Extraction using Ontological Representation. - Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon:
CodeBERT-nt: code naturalness via CodeBERT. - Zejiang Hou, Fei Sun, Yen-Kuang Chen, Yuan Xie, Sun-Yuan Kung:
MILAN: Masked Image Pretraining on Language Assisted Representation. - Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh, George J. Pappas, Vijay Kumar:
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR). - Runxue Bao, Bin Gu, Heng Huang:
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification. - Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky:
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. - Xianzhi Du, Wei-Chih Hung, Tsung-Yi Lin:
Optimizing Anchor-based Detectors for Autonomous Driving Scenes. - Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Korranat Naruenatthanaset, Thananop Kobchaisawat, Nuntiporn Nunthanasup, Kanyarat Boonpeng, Xudong Ma, Alin Achim:
ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. - Mariam Rakka, Mohammed E. Fouda, Pramod P. Khargonekar, Fadi J. Kurdahi:
Mixed-Precision Neural Networks: A Survey. - Ahmed Taha, Yen Nhi Truong Vu, Brent Mombourquette, Thomas Paul Matthews, Jason Su, Sadanand Singh:
Deep is a Luxury We Don't Have. - Xu Gan, Caijun Zhong, Chongwen Huang, Zhaohui Yang, Zhaoyang Zhang:
Multiple RISs Assisted Cell-Free Networks With Two-timescale CSI: Performance Analysis and System Design. - Robert A. Bridges, Ashley E. Rice, Sean Oesch, Jeffrey A. Nichols, Cory L. Watson, Kevin D. Spakes, Savannah Norem, Mike Huettel, Brian Jewell, Brian Weber, Connor Gannon, Olivia Bizovi, Samuel C. Hollifield, Samantha Erwin:
Testing SOAR Tools in Use. - Geonuk Kim, Jaemin Son, Kanghyu Lee, Jaesik Min:
Character decomposition to resolve class imbalance problem in Hangul OCR. - Clayton Miller, Renee Christensen, Jin Kai Leong, Mahmoud Abdelrahman, Federico Tartarini, Matias Quintana, Andre Matthias Müller, Mario Frei:
Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings. - Yi-Jing Liu, Hongyang Du, Dusit Niyato, Gang Feng, Jiawen Kang, Zehui Xiong:
Slicing4Meta: An Intelligent Integration Framework with Multi-dimensional Network Resources for Metaverse-as-a-Service in Web 3.0. - Rishab Balasubramanian, Rupashree Dey, Kunal Rathore:
Contrastive Learning for OOD in Object detection. - Zhengeng Yang, Hongshan Yu, Wei Sun, Li Cheng, Ajmal Mian:
Domain-invariant Prototypes for Semantic Segmentation. - Hyunsik Jeon, Jongjin Kim, Hoyoung Yoon, Jaeri Lee, U Kang:
Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge. - Chaoqun You, Yangming Zhao, Gang Feng, Tony Q. S. Quek, Lemin Li:
Hierarchical Multi-resource Fair Queueing for Packet Processing. - Adeilson Antonio da Silva, Maurício Pamplona Segundo:
On deceiving malware classification with section injection. - Yingting Liu, Chaochao Chen, Jamie Cui, Li Wang, Lei Wang:
Scalable and Sparsity-Aware Privacy-Preserving K-means Clustering with Application to Fraud Detection. - Tao Guo, Yizhu Wang, Jie Han, Huihui Wu, Bo Bai, Wei Han:
Semantic Compression with Side Information: A Rate-Distortion Perspective. - Laizhong Cui, Xiaoxin Su, Yipeng Zhou:
A Fast Blockchain-based Federated Learning Framework with Compressed Communications. - Tianshu Feng, Zhipu Zhou, Tarun Joshi, Vijayan N. Nair:
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights. - Junjie Li, Zilei Wang, Yuan Gao, Xiaoming Hu:
Exploring High-quality Target Domain Information for Unsupervised Domain Adaptive Semantic Segmentation. - Jie You, Jae-Won Chung, Mosharaf Chowdhury:
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training. - Joel Wolfrath, Abhishek Chandra:
Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. - Khang Nhut Lam, Nam Nhat Le, Jugal Kalita:
Building a Chatbot on a Closed Domain using RASA. - Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. - Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita:
Automatically Creating a Large Number of New Bilingual Dictionaries. - Charbel Toumieh, Alain Lambert:
Shape-aware Safe Corridors Generation using Voxel Grids. - Khang Nhut Lam, Kim-Ngoc Thi Nguyen, Loc Huu Nguy, Jugal Kalita:
Facial Expression Recognition and Image Description Generation in Vietnamese. - Chao Fang, Aojun Zhou, Zhongfeng Wang:
An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. - Zhongyan Zhang, Lei Wang, Yang Wang, Luping Zhou, Jianjia Zhang, Peng Wang, Fang Chen:
Instance Image Retrieval by Learning Purely From Within the Dataset. - Somayajulu L. N. Dhulipala, Yifeng Che, Michael D. Shields:
Bayesian Inference with Latent Hamiltonian Neural Networks. - Stephane Durocher, J. Mark Keil, Debajyoti Mondal:
Minimum Ply Covering of Points with Unit Squares. - Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
A second order accurate numerical method for the Poisson-Nernst-Planck system in the energetic variational formulation. - Russell Z. Kunes, Mingzhang Yin, Max Land, Doron Haviv, Dana Pe'er, Simon Tavaré:
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping. - Jialiang Wang, Yurong Zhong, Weiling Li:
A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization. - Peiran Yan, Shengchen Li:
An investigation on selecting audio pre-trained models for audio captioning. - Yanwei Yu, Ruoshan Lan, Lei Cao, Peng Song, Yingjie Wang:
Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams. - Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong:
Multiplex Heterogeneous Graph Convolutional Network. - Shubham Shakya, Mayank Dave:
Analysis, Detection, and Classification of Android Malware using System Calls. - Geonho Han, Hyuckjin Choi, Ryeongmyeong Kim, Kitae Nam, Junil Choi:
Exploiting Gold Nanoparticles for Secure Visible Light Communications. - Matt-Heun Hong, Lauren A. Marsh, Jessica L. Feuston, Janet Ruppert, Jed R. Brubaker, Danielle Albers Szafir:
Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis. - Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh:
Private Domain Adaptation from a Public Source. - Goran Piskachev, Stefan Dziwok, Thorsten Koch, Sven Merschjohann, Eric Bodden:
How far are German companies in improving security through static program analysis tools? - Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue:
Style Spectroscope: Improve Interpretability and Controllability through Fourier Analysis. - Brandon Yushan Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney:
PRIF: Primary Ray-based Implicit Function. - Linhao Luo, Yixiang Fang, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang:
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs. - Jezabel Molina-Gil, Pino Caballero-Gil, Cándido Caballero-Gil, Amparo Fúster-Sabater:
Software implementation of the SNOW 3G Generator on iOS and Android platforms. - Yiming Qiu, Chenyu Zhao, Han Zhang, Jingwei Zhuo, Tianhao Li, Xiaowei Zhang, Songlin Wang, Sulong Xu, Bo Long, Wen-Yun Yang:
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search. - Munir Hiabu, Joseph T. Meyer, Marvin N. Wright:
Unifying local and global model explanations by functional decomposition of low dimensional structures. - Pino Caballero-Gil, Cándido Caballero-Gil, Jezabel Molina-Gil:
How to build vehicular ad-hoc networks on smartphones. - Zhonghao Lin, Haihan Duan, Zikai Wen, Wei Cai:
What Features Influence Impact Feel? A Study of Impact Feedback in Action Games. - Jeppe Nørregaard, Leon Derczynski:
Sparse Probability of Agreement. - Jiadong Liang, Wenjie Pei, Feng Lu:
Layout-Bridging Text-to-Image Synthesis. - Daniel Scheliga, Patrick Mäder, Marco Seeland:
Dropout is NOT All You Need to Prevent Gradient Leakage. - Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng:
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. - Chintan Patel:
Customer Empowered Privacy-Preserving Secure Verification using Decentralized Identifier and Verifiable Credentials For Product Delivery Using Robots. - Franco Caspe, Andrew McPherson, Mark Sandler:
DDX7: Differentiable FM Synthesis of Musical Instrument Sounds. - Zhengcen Li, Yueran Li, Linlin Tang, Tong Zhang, Jingyong Su:
Two-person Graph Convolutional Network for Skeleton-based Human Interaction Recognition. - Lassi Raatikainen, Esa Rahtu:
The Weighting Game: Evaluating Quality of Explainability Methods. - Yifan Wang, Wei Fan, Keke Yang, Naji Alhusaini, Jing Li:
A Knowledge Distillation-Based Backdoor Attack in Federated Learning. - Mohammad Moltafet, Markus Leinonen, Marian Codreanu, Roy D. Yates:
Status Update Control and Analysis under Two-Way Delay. - Ivan Habernal, Daniel Faber, Nicola Recchia, Sebastian Bretthauer, Iryna Gurevych, Indra Spiecker genannt Döhmann, Christoph Burchard:
Mining Legal Arguments in Court Decisions. - Xiujun Shu, Wei Wen, Taian Guo, Sunan He, Chen Wu, Ruizhi Qiao:
Exploiting Feature Diversity for Make-up Temporal Video Grounding. - Eui Jun Hwang, Jung-Ho Kim, Sukmin Cho, Jong C. Park:
Non-Autoregressive Sign Language Production via Knowledge Distillation. - Carlos Galindo, Fernando Hernando, Helena Martín-Cruz, Diego Ruano:
Stabilizer quantum codes defined by trace-depending polynomials. - Nicolás A. Barnafi, Luca F. Pavarino, Simone Scacchi:
A comparative study of scalable multilevel preconditioners for cardiac mechanics. - (Withdrawn) Personalizing or Not: Dynamically Personalized Federated Learning with Incentives.
- Zhendong Wang, Jonathan J. Hunt, Mingyuan Zhou:
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. - M. Ridwan Apriansyah, Rio Yokota:
Parallel QR Factorization of Block Low-Rank Matrices. - Georgios Kouros, Shubham Shrivastava, Cédric Picron, Sushruth Nagesh, Punarjay Chakravarty, Tinne Tuytelaars:
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation. - Roger Trullo, Quoc Anh Bui, Qi Tang, Reza Olfati-Saber:
Image Translation Based Nuclei Segmentation for Immunohistochemistry Images. - Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Pölitz, Sruti Srinivasa Ragavan, Ben Zorn:
What is it like to program with artificial intelligence? - Gaia Gambarelli, Aldo Gangemi, Rocco Tripodi:
Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data. - Xiangbo Gao, Weicheng Xie, Minmin Liu, Cheng Luo, Qinliang Lin, Linlin Shen, Keerthy Kusumam, Siyang Song:
Scale-free Photo-realistic Adversarial Pattern Attack. - Ananya Appan, Anirudh Chandramouli, Ashish Choudhury:
Perfectly Secure Synchronous MPC with Asynchronous Fallback Guarantees Against General Adversaries. - Dmitry Yu. Maximov:
Lattice Generalizations of the Concept of Fuzzy Numbers and Zadeh's Extension Principle. - Jean Pierre Allamaa, Panagiotis Patrinos, Herman Van der Auweraer, Tong Duy Son:
Sim2real for Autonomous Vehicle Control using Executable Digital Twin. - Cándido Caballero-Gil, Pino Caballero-Gil, Jezabel Molina-Gil:
Mutual authentication in self-organized VANETs. - Simone Müller, Dieter Kranzlmüller:
Dynamic Sensor Matching based on Geomagnetic Inertial Navigation. - David Reiher, Axel Hahn:
Ad Hoc HLA Simulation Data Model Derived From a Model-Based Traffic Scenario. - Pegah Rokhforoz, Olga Fink:
Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets. - Fernando de Meer Pardo, Christoph Auth, Florin Dascalu:
A Modular Framework for Reinforcement Learning Optimal Execution. - Bo Li, Chi Ho Yeung:
Understanding the stochastic dynamics of sequential decision-making processes: A path-integral analysis of Multi-armed Bandits. - (Withdrawn) Identifying User Profiles Via User Footprints.
- Yassine Boubendir, Fatih Ecevit:
Asymptotic expansions of high-frequency multiple scattering iterations for sound hard scattering problems. - Oishik Chatterjee, Jaidam Ram Tej, Narendra Varma Dasaraju:
Incorporating Customer Reviews in Size and Fit Recommendation systems for Fashion E-Commerce. - Sergiy Tkachuk, Anna Wróblewska, Jacek Dabrowski, Szymon Lukasik:
Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings. - Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile:
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. - Vitor Jeronymo, Guilherme Moraes Rosa, Surya Kallumadi, Roberto A. Lotufo, Rodrigo Nogueira:
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022. - Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci:
Trustworthy Recommender Systems. - Junzhe Zhang, Daniel Kumor, Elias Bareinboim:
Causal Imitation Learning with Unobserved Confounders. - Usef Faghihi, Amir Saki:
Probabilistic Variational Causal Effect as A new Theory for Causal Reasoning. - Daniel Kumor, Junzhe Zhang, Elias Bareinboim:
Sequential Causal Imitation Learning with Unobserved Confounders. - Yunlei Shi, Zhaopeng Chen, Lin Cong, Yansong Wu, Martin Craiu-Müller, Chengjie Yuan, Chunyang Chang, Lei Zhang, Jianwei Zhang:
Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks. - Juyang Weng, Zejia Zheng, Xiang Wu:
Developmental Network Two, Its Optimality, and Emergent Turing Machines. - Jian Shi, Baoli Sun, Xinchen Ye, Zhihui Wang, Xiaolong Luo, Jin Liu, Heli Gao, Haojie Li:
Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentation. - Chao Chen, Per-Gunnar Martinsson:
Solving Linear Systems on a GPU with Hierarchically Off-Diagonal Low-Rank Approximations. - William Franz Lamberti:
Shape Proportions and Sphericity in n Dimensions. - Kaixuan Jiang, Ja Liu, Fang Liu, Wenhua Zhang, Yangguang Liu:
dual unet: a novel siamese network for change detection with cascade differential fusion. - Henrich Lauko, Lukás Korencik, Peter Goodman:
On the Optimization of Equivalent Concurrent Computations. - Changyuan Liu:
Monte Carlo neutron transport using low power mobile GPU devices. - Ejup Hoxha, Jinglun Feng, Diar Sanakov, Ardian Gjinofci, Jizhong Xiao:
Robotic Inspection and Characterization of Subsurface Defects on Concrete Structures Using Impact Sounding. - James Michelson:
Developing a Philosophical Framework for Fair Machine Learning: The Case of Algorithmic Collusion and Market Fairness. - Shreyas Ramakrishna, Baiting Luo, Christopher B. Kuhn, Gabor Karsai, Abhishek Dubey:
ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA. - AmirHossein Naghshzan:
Towards Code Summarization of APIs Using NLP Techniques. - Martin Wilhelm, Hanna Geppert, Anna Drewes, Thilo Pionteck:
Modeling Task Mapping for Data-intensive Applications in Heterogeneous Systems. - Barbara Bazzana, Tiziano Guadagnino, Giorgio Grisetti:
Handling Constrained Optimization in Factor Graphs for Autonomous Navigation. - William J. Bolton, Cosmin Badea, Pantelis Georgiou, Alison H. Holmes, Timothy M. Rawson:
Developing moral AI to support antimicrobial decision making. - Ryan Bernstein:
Multi-Model Probabilistic Programming. - Qianhao Wang, Zhepei Wang, Fei Gao:
A Linear and Exact Algorithm for Whole-Body Collision Evaluation via Scale Optimization. - David Álvarez, Vicenç Beltran:
Accelerating Task-based Iterative Applications. - Qiaoge Li, Itsuki Ueda, Chun Xie, Hidehiko Shishido, Itaru Kitahara:
OmniVoxel: A Fast and Precise Reconstruction Method of Omnidirectional Neural Radiance Field. - Satyadev Nandakumar, Subin Pulari:
Real numbers equally compressible in every base. - Hiroki Kaimoto, Kyzyl Monteiro, Mehrad Faridan, Jiatong Li, Samin Farajian, Yasuaki Kakehi, Ken Nakagaki, Ryo Suzuki:
Sketched Reality: Sketching Bi-Directional Interactions Between Virtual and Physical Worlds with AR and Actuated Tangible UI. - Serdar Abut:
Modelleme ve Simulasyon. - Dafydd Owen-Newns, Joshua Robertson, Matej Hejda, Antonio Hurtado:
GHz Rate Neuromorphic Photonic Spiking Neural Network with a Single Vertical-Cavity Surface-Emitting Laser (VCSEL). - Jian Liao, Adnan Karim, Shivesh Singh Jadon, Rubaiat Habib Kazi, Ryo Suzuki:
RealityTalk: Real-Time Speech-Driven Augmented Presentation for AR Live Storytelling. - Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Thair Al-Dala'in, Tarik A. Rashid, P. W. C. Prasad, Ahmad Alrubaie:
A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes. - Jerome White, Pulkit Madaan, Nikhil Shenoy, Apoorv Agnihotri, Makkunda Sharma, Jigar Doshi:
A Case for Rejection in Low Resource ML Deployment. - Zhiliang Peng, Li Dong, Hangbo Bao, Qixiang Ye, Furu Wei:
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers. - Silvio Ghilardi, Alessandro Gianola, Marco Montali, Andrey Rivkin:
Relational Action Bases: Formalization, Effective Safety Verification, and Invariants (Extended Version). - Miriam García Soto, Thomas A. Henzinger, Christian Schilling:
Synthesis of Parametric Hybrid Automata from Time Series. - (Withdrawn) Low Emission Building Control with Zero-Shot Reinforcement Learning.
- Mark Alan Matties:
Autonomous Intelligent Software Development. - SooJean Han, Michelle Effros, Richard M. Murray:
OUTformation: Distributed Data-Gathering with Feedback under Unknown Environment and Communication Delay Constraints. - Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu:
AutoShard: Automated Embedding Table Sharding for Recommender Systems. - Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira, Amy Greenwald:
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games. - Benjamin Laufer, Niko A. Grupen:
Collective Obfuscation and Crowdsourcing. - Guanzhou Wei, Xiao Liu, Russell R. Barton:
Gibbs Phenomenon Suppression in PDE-Based Statistical Spatio-Temporal Models. - François Golse, Frédéric Hecht, Olivier Pironneau, Pierre-Henri Tournier, Didier Smets:
Radiative Transfer For Variable 3D Atmospheres. - Haimiao Mo, Yuchen Li, Shanlin Yang, Wei Zhang, Shuai Ding:
SFF-DA: Sptialtemporal Feature Fusion for Detecting Anxiety Nonintrusively. - Rishab Balasubramanian, Kunal Rathore:
Contrastive Learning for Object Detection. - Flávio R. S. Coutinho, Luiz Chaimowicz:
Generating Pixel Art Character Sprites using GANs. - Naram Mhaisen, Abhishek Sinha, Georgios S. Paschos, Georgios Iosifidis:
Optimistic No-regret Algorithms for Discrete Caching. - Mingshan Sun, Ye Zheng, Tianpeng Bao, Jianqiu Chen, Guoqiang Jin, Liwei Wu, Rui Zhao, Xiaoke Jiang:
Uni6Dv2: Noise Elimination for 6D Pose Estimation. - Aso Validi, Vladislav Kashansky, Jihed Khiari, Hamid Hadian, Radu Prodan, Juanjuan Li, Fei-Yue Wang, Cristina Olaverri-Monreal:
Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. - Tosin Ige, Sikiru Adewale:
Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm. - Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Elina Francovic-Fontaine, Alexandre Drouin, Jacques Corbeil:
RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data. - Tommaso Tedeschi, Diego Ciangottini, Marco Baioletti, Valentina Poggioni, Daniele Spiga, Loriano Storchi, Mirco Tracolli:
Smart caching in a Data Lake for High Energy Physics analysis. - Archie Shahidullah:
Topological Data Analysis of Neural Network Layer Representations. - Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati:
CCRL: Contrastive Cell Representation Learning. - Rafael Rodríguez-Sánchez, Benjamin A. Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris:
RLang: A Declarative Language for Expression Prior Knowledge for Reinforcement Learning. - Kevin Tracy:
A Square-Root Kalman Filter Using Only QR Decompositions. - Oscar Fontanelli, Dulce I. Valdivia, Guillermo Romero, Oliver Medina, Wentian Li, Maribel Hernández-Rosales:
Human mobility patterns in Mexico City and their links with socioeconomic variables during the COVID-19 pandemic. - Sisai Fang, Gaojie Chen, Pei Xiao, Kai-Kit Wong, Rahim Tafazolli:
Intelligent Omni Surface-Assisted Self-Interference Cancellation for Full-Duplex MISO System. - Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. - Hadi Ghahremannezhad, Hang Shi, Chengjun Liu:
Real-Time Accident Detection in Traffic Surveillance Using Deep Learning. - Yang Chen, Martin Alain, Aljosa Smolic:
View Sub-sampling and Reconstruction for Efficient Light Field Compression. - Brett Bourbon, Renita Murimi:
A Re-Conceptualization of Online Misinformation Diffusion. - Hyoungsung Kim, Hyun-Sik Kim, Yong-Suk Park:
Perpetual Contract NFT as Collateral for DeFi Composability. - Zhigang Zhao, Zhimei Li, Haimiao Mo, Min Zeng:
Review of research on fireworks algorithm. - Vasco Lopes, Miguel Santos, Bruno Degardin, Luís A. Alexandre:
Guided Evolutionary Neural Architecture Search With Efficient Performance Estimation. - Xugui Zhou, Maxfield Kouzel, Haotian Ren, Homa Alemzadeh:
Design and Validation of an Open-Source Closed-Loop Testbed for Artificial Pancreas Systems. - Kaustav Bhattacharjee, Akm Islam, Jaideep Vaidya, Aritra Dasgupta:
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data. - Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans:
Occlusion-Robust Multi-Sensory Posture Estimation in Physical Human-Robot Interaction. - Edison Mucllari, Vasily Zadorozhnyy, Cole Pospisil, Duc Nguyen, Qiang Ye:
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation. - Oscar R. Moll, Manuel Favela, Samuel Madden, Vijay Gadepally:
SeeSaw: interactive ad-hoc search over image databases. - Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp:
Forecasting Question Answering over Temporal Knowledge Graphs. - Simon Lizotte, Jean-Gabriel Young, Antoine Allard:
Hypergraph reconstruction from noisy pairwise observations. - Nate Veldt:
Optimal LP Rounding and Fast Combinatorial Algorithms for Clustering Edge-Colored Hypergraphs. - Robert A. Marsden, Felix Wiewel, Mario Döbler, Yang Yang, Bin Yang:
Continual Unsupervised Domain Adaptation for Semantic Segmentation using a Class-Specific Transfer. - Francesco De Pellegrini, Vaibhav Kumar Gupta, Rachid El Azouzi, Serigne Gueye, Cédric Richier, Jeremie Leguay:
Fair Coflow Scheduling via Controlled Slowdown. - Xiangqi Zhu, Partha Mishra, Barry Mather, Mingzhi Zhang, Andrew Meintz:
Grid Impact Analysis and Mitigation of En-Route Charging Stations for Heavy-Duty Electric Vehicles. - Daniel Chui, Jason D. Hartline, James R. Wright:
Non-strategic Structural Inference (for Initial Play). - Isaac Bromley-Dulfano, Xiangqi Zhu, Barry Mather:
Behavioral and Population Data Driven Distribution System Load Modeling. - Maria Laricheva, Chiyu Zhang, Yan Liu, Guanyu Chen, Terence Tracey, Richard Young, Giuseppe Carenini:
Automated Utterance Labeling of Conversations Using Natural Language Processing. - Sai Pavan Tadem:
CycleGAN with three different unpaired datasets. - Xiangqi Zhu, Akanksha Singh, Barry Mather:
Sizing and Location Selection of Medium-Voltage Back-to-Back Converter for DER-Dominated Distribution Systems. - Colin G. Cess, Stacey D. Finley:
Siamese neural networks for a generalized, quantitative comparison of complex model outputs. - Kenneth Christofferson, Fernando J. Yanez:
Three-Player Game Training Dynamics. - Prashant K. Gupta, Javier Andreu-Perez:
A Gentle Introduction and Survey on Computing with Words (CWW) Methodologies. - Soumya Basu, Abishek Sankararaman:
Double Auctions with Two-sided Bandit Feedback. - Mingyuan Fan, Yang Liu, Cen Chen, Ximeng Liu, Wenzhong Guo:
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons. - Mingyuan Fan, Cen Chen, Ximeng Liu, Wenzhong Guo:
MaskBlock: Transferable Adversarial Examples with Bayes Approach. - Zhenzhen Lu, Yongguang Yu, Weiyi Xu, Guojian Ren, Xiangyun Meng:
Global dynamics for a class of discrete fractional epidemic model with reaction-diffusion. - Jia-Cheng Hu, Roberto Cavicchioli, Alessandro Capotondi:
ExpansionNet v2: Block Static Expansion in fast end to end training for Image Captioning. - Jiping Zheng, Yuan Ma, Wei Ma, Yanhao Wang, Xiaoyang Wang:
Happiness Maximizing Sets under Group Fairness Constraints (Technical Report). - Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu:
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. - Foivos Tsimpourlas, Pavlos Petoumenos, Min Xu, Chris Cummins, Kim M. Hazelwood, Ajitha Rajan, Hugh Leather:
BenchPress: A Deep Active Benchmark Generator. - Norman S. Matloff, Wenxi Zhang:
A Novel Regularization Approach to Fair ML. - Ming Dai, Jiahao Chen, Yusheng Lu, Wenlong Hao, Enhui Zheng:
Finding Point with Image: An End-to-End Benchmark for Vision-based UAV Localization. - Mohammad Saidur Rahman, Scott E. Coull, Matthew Wright:
On the Limitations of Continual Learning for Malware Classification. - Emon Dey, Jumman Hossain, Nirmalya Roy, Carl E. Busart:
SynchroSim: An Integrated Co-simulation Middleware for Heterogeneous Multi-robot System. - Yibin Zhang, Jinlong Sun, Guan Gui, Yun Lin, Haris Gacanin, Fumiyuki Adachi:
Attention Mechanism Based Intelligent Channel Feedback for mmWave Massive MIMO Systems. - Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Archan Misra:
Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge. - Katrina Chen, Xiuqin Liang, Zhibin Zhang, Zheng Ma:
GEDI: A Graph-based End-to-end Data Imputation Framework. - B. Ashutosh Holla, M. M. Manohara Pai, Ujjwal Verma, Radhika M. Pai:
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning. - Jiahui Zhang, Yinhua Xia, Yan Xu:
Structure-preserving finite volume arbitrary Lagrangian-Eulerian WENO schemes for the shallow water equations. - Hiroshi Yamakawa, Yutaka Matsuo:
Recognition of All Categories of Entities by AI. - Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. - Jezabel Molina-Gil, Pino Caballero-Gil, Cándido Caballero-Gil, Amparo Fúster-Sabater:
Analysis and implementation of the SNOW 3G generator used in 4G/LTE systems. - V. Mora-Afonso, Pino Caballero-Gil:
Using identity-based cryptography in mobile applications. - Yangyang Xu, Zeyang Zhou, Shengfeng He:
Self-supervised Matting-specific Portrait Enhancement and Generation. - Yuanyi Liu, Jia Chen, Di Wu:
An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors. - Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak:
Combating Label Distribution Shift for Active Domain Adaptation. - Kaiguang Yang, Yeping Wang, Qianhao Luo, Xin Liu, Weiling Li:
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging. - Michael Ruderman, Benjamin Voß, Leonid M. Fridman, Johann Reger:
Disturbance sensitivity analysis and experimental evaluation of continuous sliding mode control. - Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. - Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. - Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King:
A Study of Demographic Bias in CNN-based Brain MR Segmentation. - Zhenshan Tan, Cheng Chen, Keyu Wen, Yuzhuo Qin, Xiaodong Gu:
A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection. - Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. - Pio Calderon, Rohit Ram, Marian-Andrei Rizoiu:
Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions. - Ibrahim Yildirim, Asil Koç, Ertugrul Basar, Tho Le-Ngoc:
RIS-Aided Angular-Based Hybrid Beamforming Design in mmWave Massive MIMO Systems. - Mani A:
Granular Directed Rough Sets, Concept Organization and Soft Clustering. - Stefano Longari, Alessandro Nichelini, Carlo Alberto Pozzoli, Michele Carminati, Stefano Zanero:
CANdito: Improving Payload-based Detection of Attacks on Controller Area Networks. - Nicolas Kruchten, Jon Mease, Dominik Moritz:
VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations. - Jaymark A. Yambao, John Paul P. Miranda, Earl Lawrence B. Pelayo:
Development of Augmented Reality Application for Made-to-Order Furniture Industry in Pampanga, Philippines. - Shigemichi Matsuzaki, Hiroaki Masuzawa, Jun Miura:
Online Refinement of a Scene Recognition Model for Mobile Robots by Observing Human's Interaction with Environments. - Caiyu Jiao, Changpin Li, Hexiang Wang, Zhongqiang Zhang:
A Modified Walk-on-sphere Method for High Dimensional Fractional Poisson Equation. - Keyur Patel, João Guilherme Faccin, Abdelwahab Hamou-Lhadj, Ingrid Nunes:
The Sense of Logging in the Linux Kernel. - Elif Deniz, Adnan Rashid, Osman Hasan, Sofiène Tahar:
On the Formalization of the Heat Conduction Problem in HOL. - Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei:
Modeling Network-level Traffic Flow Transitions on Sparse Data. - Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica K. Barrett, Brian D. M. Tom:
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness. - Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu:
Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. - Stanislaw J. Purgal, David M. Cerna, Cezary Kaliszyk:
Differentiable Inductive Logic Programming in High-Dimensional Space. - Kanchanok Kannee, Supatsara Wattanakriengkrai, Ruksit Rojpaisarnkit, Raula Gaikovina Kula, Kenichi Matsumoto:
Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems. - Jiazhi Li, Tingting Zhou, Yunnong Chen, Yan-fang Chang, Yankun Zhen, Lingyun Sun, Liuqing Chen:
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks. - Yiheng Lu, Ziyu Guan, Yaming Yang, Maoguo Gong, Wei Zhao, Kaiyuan Feng:
Entropy Induced Pruning Framework for Convolutional Neural Networks. - Ruida Zhang, Yan Di, Fabian Manhardt, Federico Tombari, Xiangyang Ji:
SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation. - Melika Ayoughi, Pascal Mettes, Paul Groth:
Self-Contained Entity Discovery from Captioned Videos. - Shreya Khisa, Mohamed Kadry Elhattab, Chadi Assi, Sanaa Sharafeddine:
Energy Consumption Optimization in RIS-Assisted Cooperative RSMA Cellular Networks. - Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young:
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: IV. Fourier series multiscale solution for the convection-diffusion-reaction equation. - (Withdrawn) Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes.
- Jingliang Li, Zhengda Lu, Yiqun Wang, Ying Wang, Jun Xiao:
DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis. - Yulan Zhang, Anna C. Gilbert, Stefan Steinerberger:
May the force be with you. - Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan:
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models. - S. M. A. K. Rajin, M. Manzur Murshed, Manoranjan Paul, Shyh Wei Teng, Jiangang Ma:
A new way of video compression via forward-referencing using deep learning. - Gulshan Sharma, Pankaj Pandey, Ramanathan Subramanian, Krishna P. Miyapuram, Abhinav Dhall:
Neural Encoding of Songs is Modulated by Their Enjoyment. - Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel:
Locating disparities in machine learning. - Leonard E. van Dyck, Walter R. Gruber:
Modeling Biological Face Recognition with Deep Convolutional Neural Networks. - An Zeng, Ying Fan, Zengru Di, Yougui Wang, Shlomo Havlin:
Impactful scientists have higher tendency to involve collaborators in new topics. - Tillmann Miltzow, Milos Stojakovic:
Avoider-Enforcer Game is NP-hard. - Weiyao Lai, Wei Xu, Marc Bernhard:
Deployment of long distance multi-moving robots for underground pipe inspection. - Fiorella Artuso, Marco Mormando, Giuseppe Antonio Di Luna, Leonardo Querzoni:
BinBert: Binary Code Understanding with a Fine-tunable and Execution-aware Transformer. - Jo-Anne Bright, Judi Morawitz, Duncan Taylor, John Buckleton:
Regression test of various versions of STRmix. - Md. Noor-A-Rahim, Jobish John, Fadhil Firyaguna, Dimitrios Zorbas, Hafiz Husnain Raza Sherazi, Sergii Kushch, Eoin O'Connell, Dirk Pesch, Brendan O'Flynn, Martin J. Hayes, Eddie Armstrong:
Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G, and Beyond. - Sina Faraji Alamouti, Jasmine Jan, Cem Yalcin, Jonathan Ting, Ana Claudia Arias, Rikky Muller:
A Sparse Sampling Sensor Front-end IC for Low Power Continuous pO2 \& HR Monitoring. - Mahieyin Rahmun, Tonmoay Deb, Shahriar Ali Bijoy, Mayamin Hamid Raha:
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV. - Esther Ezra, Micha Sharir:
Intersection Searching amid Tetrahedra in Four Dimensions. - El-Mehdi Mehiri, Hacène Belbachir:
The weighted Tower of Hanoi. - Xinyue Pan, Jiangpeng He, Andrew Peng, Fengqing Zhu:
Simulating Personal Food Consumption Patterns using a Modified Markov Chain. - David Li, Amitabh Varshney:
Progressive Multi-scale Light Field Networks. - Jair Augusto Bottega, Raul Steinmetz, Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Ricardo B. Grando, Daniel Fernando Tello Gamarra:
Virtual Reality Platform to Develop and Test Applications on Human-Robot Social Interaction. - Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Chandan K. Reddy, Vignesh Subbian:
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury. - Tyler Westenbroek, Fernando Castañeda, Ayush Agrawal, Shankar Sastry, Koushil Sreenath:
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning. - Efstratios Chatzoglou, Vasileios Kouliaridis, Georgios Kambourakis, Georgios Karopoulos, Stefanos Gritzalis:
A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a public dataset. - Mohit Sharma, Vijay Natarajan:
Jacobi Set Driven Search for Flexible Fiber Surface Extraction. - Adwait Godbole, Yatin A. Manerkar, Sanjit A. Seshia:
Automated Conversion of Axiomatic to Operational Models: Theory and Practice. - Endri Kacupaj, Kuldeep Singh, Maria Maleshkova, Jens Lehmann:
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs. - Arun Venkatesh Ramesh, Xingpeng Li:
Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations. - Hongliang Chi, Yao Ma:
Enhancing Graph Contrastive Learning with Node Similarity. - Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. - Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. - Sathvik Redrouthu, Rishi Athavale:
Tensor Algebra on an Optoelectronic Microchip. - Nicolau Manubens, Tiago Quintino, Simon D. Smart, Emanuele Danovaro, Adrian Jackson:
DAOS as HPC Storage, a view from Numerical Weather Prediction. - Eric Bax, John Donald:
Sharp Frequency Bounds for Sample-Based Queries. - Md Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur Rahman:
Predicting skull fractures via CNN with classification algorithms. - Ziyan Zhao, Li Zhang, Xiaoli Lian:
A Preliminary Study on the Potential Usefulness of Open Domain Model for Missing Software Requirements Recommendation. - Pengyu Chen, Junyu Gao, Yuan Yuan, Qi Wang:
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting. - Erik C. Rye, Robert Beverly:
IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation. - Kaidong Zhang, Jingjing Fu, Dong Liu:
Flow-Guided Transformer for Video Inpainting. - Xumin Huang, Weifeng Zhong, Jiangtian Nie, Qin Hu, Zehui Xiong, Jiawen Kang, Tony Q. S. Quek:
Joint User Association and Resource Pricing for Metaverse: Distributed and Centralized Approaches. - Cunzhi Zhao, Xingpeng Li:
A 100% Renewable Energy System: Enabling Zero CO2 Emission Offshore Platforms. - Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid:
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. - Chengqing Li, Xianhui Shen, Sheng Liu:
Cryptanalyzing an Image Encryption Algorithm Underpinned by 2D Lag-Complex Logistic Map. - Haibin Zheng, Haiyang Xiong, Haonan Ma, Guohan Huang, Jinyin Chen:
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection. - Zemiao Peng, Hao Wu:
β-Divergence-Based Latent Factorization of Tensors model for QoS prediction. - Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini:
Performance Analysis of Charging Infrastructure Sharing in UAV and EV-involved Networks. - Bahram Yaghooti, Kaveh Safavigerdini, Reza Hajiloo, Hassan Salarieh:
Stabilizing Unstable Periodic Orbit of Unknown Fractional-Order Systems via Adaptive Delayed Feedback Control. - Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh:
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields. - Yalchin Efendiev, Wing Tat Leung, Wenyuan Li, Zecheng Zhang:
Hybrid explicit-implicit learning for multiscale problems with time dependent source. - Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali:
Improving Phishing Detection Via Psychological Trait Scoring. - Zehra Yigit, Ertugrul Basar, Ibrahim Altunbas:
Over-the-Air Beamforming with Reconfigurable Intelligent Surfaces. - Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li:
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. - Junan Pan:
Move first, and become unbeatable: Strategy study of different Tic-tac-toe. - Mrinal Rawat, Victor Barrès:
Real-time Caller Intent Detection In Human-Human Customer Support Spoken Conversations. - Neetigya Poddar, Shruti Jain:
Light Weight Character and Shape Recognition for Autonomous Drones. - Zhiliang Wu, Hanyu Xuan, Changchang Sun, Kang Zhang, Yan Yan:
Semi-Supervised Video Inpainting with Cycle Consistency Constraints. - Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer:
Multi-Attribute Open Set Recognition. - Stephen Ellis, Shuofei Zhu, Nobuko Yoshida, Linhai Song:
Generic Go to Go: Dictionary-Passing, Monomorphisation, and Hybrid. - Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly:
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. - Sven Jäger:
An Improved Greedy Algorithm for Stochastic Online Scheduling on Unrelated Machines. - Bharath Ramakrishnan, Ruijia Deng:
Remote Photoplethysmography from Low Resolution videos: An end-to-end solution using Efficient ConvNets. - Changhong Fu, Haolin Dong, Junjie Ye, Guangze Zheng, Sihang Li, Jilin Zhao:
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV Tracking. - Zhichao Lu, Ran Cheng, Shihua Huang, Haoming Zhang, Changxiao Qiu, Fan Yang:
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation. - Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han:
Fast Learning Radiance Fields by Shooting Much Fewer Rays. - Peter A. Flach, Kacper Sokol:
Simply Logical - Intelligent Reasoning by Example (Fully Interactive Online Edition). - Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar:
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. - Ayman Hasib, Saqib Sizan Khan, Jannatul Ferdous Eva, Nipa Khatun, Ashraful Haque, Nishat Shahrin, Rashik Rahman, Hasan Murad, Md. Rajibul Islam, Molla Rashied Hussein:
BDSL 49: A Comprehensive Dataset of Bangla Sign Language. - John Chiang:
Multinomial Logistic Regression Algorithms via Quadratic Gradient. - Christian Antic:
Analogical proportions in monounary algebras and difference proportions. - Nuh Aydin, Yiang Lu, Vishad R. Onta:
An Updated Database of Z4 Codes. - Donghwa Han, Jeonghun Park, Youngjoo Lee, H. Vincent Poor, Namyoon Lee:
Block Orthogonal Sparse Superposition Codes for Ultra-Reliable Low-Latency Communications. - Haoyuan He, Wang-Zhou Dai, Ming Li, Yu Liu, Yongchang Ma:
Reduced Implication-bias Logic Loss for Neuro-Symbolic Learning. - Fedor V. Fomin, Petr A. Golovach, Tanmay Inamdar, Nidhi Purohit, Saket Saurabh:
Exact Exponential Algorithms for Clustering Problems. - Chunle Guo, Ruiqi Wu, Xin Jin, Linghao Han, Zhi Chai, Weidong Zhang, Chongyi Li:
Underwater Ranker: Learn Which Is Better and How to Be Better. - Sarah Eberle, Bastian Harrach:
Resolution Guarantees for the Reconstruction of Inclusions in Linear Elasticity Based on Monotonicity Methods. - Chengyin Xu, Zenghao Chai, Zhengzhuo Xu, Chun Yuan, Yanbo Fan, Jue Wang:
HyP2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval. - Stephan Simonis, Mathias J. Krause:
Limit Consistency of Lattice Boltzmann Equations. - Jaime Céspedes Sisniega, Álvaro López García:
Frouros: A Python library for drift detection in Machine Learning problems. - Hossam Amer, Young Jin Kim, Mohamed Afify, Hitokazu Matsushita, Hany Hassan Awadalla:
Fast Vocabulary Projection Method via Clustering for Multilingual Machine Translation on GPU. - Wenyan Liu, Juncheng Wan, Xiaoling Wang, Weinan Zhang, Dell Zhang, Hang Li:
Forgetting Fast in Recommender Systems. - Li Fan, Jianchang Liu, Wenle Zhang, Peng Xu:
Conformal Navigation Transformations with Application to Robot Navigation in Complex Workspaces. - Abhimanyu Sethia, Aayush:
Models of Music Cognition and Composition. - Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu:
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling. - Manny Ko, Ujjawal K. Panchal, Héctor Andrade-Loarca, Andres Mendez-Vazquez:
CoShNet: A Hybird Complex Valued Neural Network using Shearlets. - Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. - Gang He, Shaoyi Long, Li Xu, Chang Wu, Jinjia Zhou, Ming Sun, Xing Wen, Yurong Dai:
Global Priors Guided Modulation Network for Joint Super-Resolution and Inverse Tone-Mapping. - Mubashir Noman, Wafa Al Ghallabi, Daniya Najiha, Christoph Mayer, Akshay Dudhane, Martin Danelljan, Hisham Cholakkal, Salman Khan, Luc Van Gool, Fahad Shahbaz Khan:
AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility. - Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang:
The SVD of Convolutional Weights: A CNN Interpretability Framework. - Nathan Lutes, Venkata Sriram Siddhardh Nadendla, K. Krishnamurthy:
Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram. - Ivan Carvalho:
Towards Parallel Learned Sorting. - Ernest Davis:
Limits of an AI program for solving college math problems. - Jozef Marus Coldenhoff, Chengkun Li, Yurui Zhu:
Model Generalization: A Sharpness Aware Optimization Perspective. - Pankaj Kumar Kalita, Miriyala Jeevan Kumar, Subhajit Roy:
Synthesis of Semantic Actions in Attribute Grammars. - (Withdrawn) MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity Prediction.
- Lei Jiang, Yongqing Liu, Shihai Xiao, Yansong Chua:
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks. - Çagatay Demirel, Livia Regus, Hatice Köse:
Single-channel EOG-based human-machine interface with exploratory assessments using harmonic source separation. - Bhavana Doppalapudi, Bei Wang, Paul Rosen:
Untangling Force-Directed Layouts Using Persistent Homology. - Diana Benavides Prado, Patricia Riddle:
A Theory for Knowledge Transfer in Continual Learning. - Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen:
Visual Localization via Few-Shot Scene Region Classification. - Ehsan Mokhtarian, Mohammadsadegh Khorasani, Jalal Etesami, Negar Kiyavash:
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables. - Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. - Fangyi Yu, Miguel Vargas Martin:
GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing. - Fangyi Yu, Miguel Vargas Martin:
Targeted Honeyword Generation with Language Models. - Mahan Tabatabaie, James Maniscalco, Connor Lynch, Suining He:
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction. - Md Kamran Chowdhury Shisher, Yin Sun:
How Does Data Freshness Affect Real-time Supervised Learning? - Charbel Toumieh, Alain Lambert:
MACE: Multi-Agent Autonomous Collaborative Exploration of Unknown Environments. - Charbel Toumieh, Alain Lambert:
Multirotor Planning in Dynamic Environments using Temporal Safe Corridors. - Yarden Livnat, Dan Maljovec, Attila Gyulassy, Baptiste Mouginot, Valerio Pascucci:
A Novel Tree Visualization to Guide Interactive Exploration of Multi-dimensional Topological Hierarchies. - Kenneth M. Mackenthun Jr.:
Any strongly controllable group system or group shift or any linear block code is isomorphic to a generator group. - Jia Li, Shiva Nejati, Mehrdad Sabetzadeh, Michael McCallen:
A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions. - Nima Sadri, Gordon V. Cormack:
Continuous Active Learning Using Pretrained Transformers. - Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
ARIEL: Adversarial Graph Contrastive Learning. - Arie Pratama Sutiono, Gus Hahn-Powell:
Syntax-driven Data Augmentation for Named Entity Recognition. - Nima Sadri:
Evaluating Dense Passage Retrieval using Transformers. - Feng Wang, Peifeng Li, Qiaoming Zhu:
A Hybrid Model of Classification and Generation for Spatial Relation Extraction. - Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen:
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee. - Mengyuan Lee, Guanding Yu, Huaiyu Dai:
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks. - Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen:
STAR-GNN: Spatial-Temporal Video Representation for Content-based Retrieval. - Afsoon Alidadi Shamsabadi, Animesh Yadav, Omid Abbasi, Halim Yanikomeroglu:
Handling Interference in Integrated HAPS-Terrestrial Networks through Radio Resource Management. - Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He:
From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection. - Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava:
Learning Semantic Correspondence with Sparse Annotations. - Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. - Yan Zheng, Stephan Bohacek:
Energy Savings When Migrating Workloads to the Cloud. - Xinyue Hu, Yibo Yi, Kun Li, Hongwei Zhang, Caihong Kai:
Secure Transmission Design for Virtual Antenna Array-aided Device-to-device Multicast Communications. - Jizhou Huang, Zhengjie Huang, Xiaomin Fang, Shikun Feng, Xuyi Chen, Jiaxiang Liu, Haitao Yuan, Haifeng Wang:
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps. - Alexander Wong, Mohammad Javad Shafiee, Saad Abbasi, Saeejith Nair, Mahmoud Famouri:
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. - Harry Rodger, Andrew Lensen, Marcin Betkier:
Explainable Artificial Intelligence for Assault Sentence Prediction in New Zealand. - Ferenc Cole Thierrin, Fady Alajaji, Tamás Linder:
Rényi Cross-Entropy Measures for Common Distributions and Processes with Memory. - Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen:
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design. - Ian Dobson, Svetlana Ekisheva:
How long is a resilience event in a transmission system?: Metrics and models driven by utility data. - Kenneth D. Bogert, Yikang Gui, Prashant Doshi:
IRL with Partial Observations using the Principle of Uncertain Maximum Entropy. - Christeen T. Jose:
Deepfake Detection using ImageNet models and Temporal Images of 468 Facial Landmarks. - Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Dhinesh Suntharalingham, Simon Lind Kappel, Anjula C. De Silva, Chamira U. S. Edussooriya:
Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers. - Changcun Huang:
On a Mechanism Framework of Autoencoders. - Weipan Xu, Yu Gu, Yifan Chen, Yongtian Wang, Weihuan Deng, Xun Li:
Combining deep learning and crowdsourcing geo-images to predict housing quality in rural China. - Wenchao Ma, Bin Tan, Nan Xue, Tianfu Wu, Xianwei Zheng, Gui-Song Xia:
HoW-3D: Holistic 3D Wireframe Perception from a Single Image. - Jingbo Zhang, Ziyu Wan, Jing Liao:
Adaptive Joint Optimization for 3D Reconstruction with Differentiable Rendering. - Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa, Yang Zhang, Prateek Gupta, Yoshua Bengio, Stephan Zheng:
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. - Andrew Critch, Michael Dennis, Stuart Russell:
Cooperative and uncooperative institution designs: Surprises and problems in open-source game theory. - Yuchen Guo, Qiguang Chen, Gary P. T. Choi, Lok Ming Lui:
Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks. - Hilmil Pradana, Keiichi Horio:
Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior. - Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. - Max van Haren, Lennart Blanken, Tom Oomen:
Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. - Omer San, Suraj Pawar, Adil Rasheed:
Prospects of federated machine learning in fluid dynamics. - Chaofan Ling, Junpei Zhong, Weihua Li:
Pyramidal Predictive Network: A Model for Visual-frame Prediction Based on Predictive Coding Theory. - Bowen Li, Philip H. S. Torr, Thomas Lukasiewicz:
Memory-Driven Text-to-Image Generation. - Hongyu Fu, Yijing Yang, Yuhuai Liu, Joseph Lin, Ethan Harrison, Vinod K. Mishra, C.-C. Jay Kuo:
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing. - Farshad Rostami Ghadi, Francisco Javier López-Martínez:
RIS-Aided Communications over Dirty MAC: Capacity Region and Outage Probability. - Duan Zhang, Ying Sun:
Classifications of Single-input Lower Triangular Forms. - Rishi Veerapaneni, Maxim Likhachev:
Non-Blocking Batch A* (Technical Report). - Kevin Haninger, Christian Hegeler, Luka Peternel:
Model Predictive Impedance Control with Gaussian Processes for Human and Environment Interaction. - Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman:
A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes. - Dongwoo Park, Jongmin Lee:
Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning. - Kirstin Peters, Nobuko Yoshida:
On the Expressiveness of Mixed Choice Sessions (Technical Report). - Sebastian Schäfer, Ulrike Meyer:
A Pipeline for DNS-Based Software Fingerprinting. - Seyed Ali Hashemian, Farid Ashtiani:
Technical Report : Analytical Modeling and Improvement of Interference-Coupled RAN Slicing. - Sachith Seneviratne, Ridwan Shariffdeen, Sanka Rasnayaka, Nuran Kasthuriarachchi:
Self-Supervised Vision Transformers for Malware Detection. - Jalal Heidary, Hassan Rastegar:
A novel computational technique using coefficient diagram method for load frequency control in an interconnected power system. - Kevin Ljung, Javier Gonzalez-Huerta:
"To Clean-Code or Not To Clean-Code" A Survey among Practitioners. - Yaosen Chen, Qi Yuan, Zhiqiang Li, Yuegen Liu, Wei Wang, Chaoping Xie, Xuming Wen, Qien Yu:
UPST-NeRF: Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene. - Khizar Hameed, Ali Raza, Saurabh Garg, Muhammad Bilal Amin:
A Blockchain-based Decentralised and Dynamic Authorisation Scheme for the Internet of Things. - Vahid Heidaripour Lakhani, Leander Jehl, Rinke Hendriksen, Vero Estrada-Galiñanes:
Fair Incentivization of Bandwidth Sharing in Decentralized Storage Networks. - Abid Hasan Zim, Aeyan Ashraf, Aquib Iqbal, Asad Malik, Minoru Kuribayashi:
A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals. - Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga:
Sound and Relatively Complete Belief Hoare Logic for Statistical Hypothesis Testing Programs. - Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training. - Daniele Comi, Dimitrios Christofidellis, Pier Francesco Piazza, Matteo Manica:
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection. - Shoki Sakai, Kazuki Itabashi, Junya Morita:
Estimating Personal Model Parameters from Utterances in Model-based Reminiscence. - Khiem H. Le, Hieu H. Pham, Thao B. T. Nguyen, Tu A. Nguyen, Cuong D. Do:
Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration. - Jan Svec, Katerina Zmolíková, Martin Kocour, Marc Delcroix, Tsubasa Ochiai, Ladislav Mosner, Jan Cernocký:
Analysis of impact of emotions on target speech extraction and speech separation. - Martin Damyanov Aleksandrov:
Fair Division meets Vehicle Routing: Fairness for Drivers with Monotone Profits. - Radostin Cholakov, Todor Kolev:
Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task. - Dingmin Wang, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau:
Seminaive Materialisation in DatalogMTL. - Yuxue Ren, Baowei Jiang, Wei Chen, Na Lei, Xianfeng David Gu:
Global Consistent Point Cloud Registration Based on Lie-algebraic Cohomology. - Gedi Liu, Yifeng Jiang, Yi Ouyang, Keyang Zhong, Yang Wang:
Grasping Core Rules of Time Series through Pure Models. - Mikkel Abrahamsen, Viktor Fredslund-Hansen:
Degree of Convexity and Expected Distances in Polygons. - Liguang Zhou, Yuhongze Zhou, Tin Lun Lam, Yangsheng Xu:
Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation. - Moqi Zhang, Weihui Deng, Xiaocheng Li:
A Unified Image Preprocessing Framework For Image Compression. - Yunus Can Gültekin, Frans M. J. Willems, Alex Alvarado:
Band-ESS: Streaming Enumerative Coding with Applications to Probabilistic Shaping. - Ezzat Elokda, Carlo Cenedese, Kenan Zhang, John Lygeros, Florian Dörfler:
CARMA: Fair and efficient bottleneck congestion management with karma. - Paul F. Kinghorn, Beren Millidge, Christopher L. Buckley:
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks. - Carsten Dülsen, Tobias Flick, Timo Göhring, Wolfgang Wagner, Marius Wensing:
A novel approach for FPGA-to-server data transmission over an Ethernet-based network using the eXpress Data Path technology. - Jiashuo Zhang, Jianbo Gao, Yue Li, Ziming Chen, Zhi Guan, Zhong Chen:
Xscope: Hunting for Cross-Chain Bridge Attacks. - Jieke Shi, Zhou Yang, Bowen Xu, Hong Jin Kang, David Lo:
Compressing Pre-trained Models of Code into 3 MB. - Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Csaba Zainkó, Géza Németh:
Towards Parametric Speech Synthesis Using Gaussian-Markov Model of Spectral Envelope and Wavelet-Based Decomposition of F0. - Aaron Valero Puche, Sukhan Lee:
Online 3D Bin Packing Reinforcement Learning Solution with Buffer. - Abishek Ramdas, Michael Giardino, Runbin Shi, Adam Turowski, David A. Cock, Gustavo Alonso, Timothy Roscoe:
ECI: a Customizable Cache Coherency Stack for Hybrid FPGA-CPU Architectures. - David Liebowitz, Surya Nepal, Kristen Moore, Cody James Christopher, Salil S. Kanhere, David D. Nguyen, Roelien C. Timmer, Michael Longland, Keerth Rathakumar:
Deception for Cyber Defence: Challenges and Opportunities. - Aman Timalsina, Matthew G. Knepley:
Tetrahedralization of a Hexahedral Complex. - Kalyani Roy, Tapas Nayak, Pawan Goyal:
Exploring Generative Models for Joint Attribute Value Extraction from Product Titles. - Ki-Ung Song:
Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling. - Xinzhu Ma, Yuan Meng, Yinmin Zhang, Lei Bai, Jun Hou, Shuai Yi, Wanli Ouyang:
An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection. - Muhammad Farooq, Vaibhav Kumar, Markku J. Juntti, Le-Nam Tran:
On the Achievable Rate of IRS-Assisted Multigroup Multicast Systems. - Jia Guo, Jinke Yu, Alexandros Lattas, Jiankang Deng:
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark Regression. - (Withdrawn) C-Causal Blindness An experimental computational framework on the isomorphic relationship between biological computation, artificial computation, and logic using weighted hidden Markov models.
- Daniel Klötzl, Tim Krake, Youjia Zhou, Jonathan Stober, Kathrin Schulte, Ingrid Hotz, Bei Wang, Daniel Weiskopf:
Reduced Connectivity for Local Bilinear Jacobi Sets. - Hongwu Liu, Kyeong Jin Kim, Theodoros A. Tsiftsis, Bruno Clerckx, Kyung Sup Kwak, H. Vincent Poor:
Cognitive Radio-Inspired Rate-Splitting Multiple Access for Semi-Grant-Free Transmissions. - Junda Chen, Xuejing Lan, Zhijia Zhao, Tao Zou:
Cooperative guidance of multiple missiles: a hybrid co-evolutionary approach. - Yang Wang, Qiang Zhang, Xiaohui Xiao:
Trajectory Tracking Control of the Bionic Joint Actuated by Pneumatic Artificial Muscle Based on Robust Modeling. - Yu Jiang, John Eisenmann, William Graves, Vijayaraghavan Sridhar, Zackary Anderson:
Terrain-based vehicle localization using an active suspension system. - Carole H. Sudre, Kimberlin M. H. van Wijnen, Florian Dubost, Hieab Adams, David Atkinson, Frederik Barkhof, Mahlet A. Birhanu, Esther E. Bron, Robin Camarasa, Nish Chaturvedi, Yuan Chen, Zihao Chen, Shuai Chen, Qi Dou, Tavia E. Evans, Ivan Ezhov, Haojun Gao, Marta Gironés-Sangüesa, Juan Domingo Gispert, Beatriz Gomez Anson, Alun D. Hughes, Mohammad Arfan Ikram, Silvia Ingala, Hans Rolf Jäger, Florian Kofler, Hugo J. Kuijf, Denis Kutnar, Minho Lee, Bo Li, Luigi Lorenzini, Bjoern H. Menze, José Luis Molinuevo, Yiwei Pan, Élodie Puybareau, Rafael Rehwald, Ruisheng Su, Pengcheng Shi, Lorna Smith, Therese Tillin, Guillaume Tochon, Hélène Urien, Bas H. M. van der Velden, Isabelle F. van der Velpen, Benedikt Wiestler, Frank J. Wolters, Pinar Yilmaz, Marius de Groot, Meike W. Vernooij, Marleen de Bruijne:
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. - Kusol Pimapunsri, Darawan Weeranant, Andreas Riel:
Genetic algorithms for the resource-constrained project scheduling problem in aircraft heavy maintenance. - Han Wu, Sareh Rowlands, Johan Wahlström:
Man-in-the-Middle Attack against Object Detection Systems. - Matthew Groh, Craig Ferguson, Robert Lewis, Rosalind W. Picard:
Computational Empathy Counteracts the Negative Effects of Anger on Creative Problem Solving. - Norine Coenen, Bernd Finkbeiner, Jana Hofmann, Julia J. Tillman:
Smart Contract Synthesis Modulo Hyperproperties. - Hong Peng, Chen Jiang, Yu Guan, Jing Cheng, Minghui Zhang, Dong Liang, Qiegen Liu:
One-shot Generative Prior Learned from Hankel-k-space for Parallel Imaging Reconstruction. - Rico Schrage, Paul Hendrik Tiemann, Astrid Nieße:
A Multi-Criteria Metaheuristic Algorithm for Distributed Optimization of Electric Energy Storage. - Zizhen Liu, Si Chen, Jing Ye, Junfeng Fan, Huawei Li, Xiaowei Li:
DHSA: Efficient Doubly Homomorphic Secure Aggregation for Cross-silo Federated Learning. - Kahraman Kostas, Rabia Yasa Kostas, Francisco Zampella, Firas Alsehly:
WiFi Based Distance Estimation Using Supervised Machine Learning. - Hannah Bast, Matthias Hertel, Natalie Prange:
ELEVANT: A Fully Automatic Fine-Grained Entity Linking Evaluation and Analysis Tool. - Chenhao Xu, Youyang Qu, Tom H. Luan, Peter W. Eklund, Yong Xiang, Longxiang Gao:
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation. - Nadav Schneider, Matan Rusanovsky, Raz Gvishi, Gal Oren:
Determining HEDP Foams' Quality with Multi-View Deep Learning Classification. - Duc A. Hoang:
On The Complexity of Distance-d Independent Set Reconfiguration. - Petar Maksimovic, Caroline Cronjäger, Julian Sutherland, Andreas Lööw, Sacha-Élie Ayoun, Philippa Gardner:
Exact Separation Logic. - Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang:
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query. - Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. - Felix Bognar, Markus Oster, Herman Van der Auweraer, Tong Duy Son:
Virtual Reality Assisted Human Perception in ADAS Development: a Munich 3D Model Study. - Yao Zhang, Yun Xiong, Yiheng Sun, Caihua Shan, Tian Lu, Hui Song, Yangyong Zhu:
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation. - Xusheng Ai, Victor S. Sheng, Chunhua Li:
Class-attention Video Transformer for Engagement Intensity Prediction. - Farshad Ahmadi Asl, Mehmet Bodur:
Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart Home. - Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. - Pablo V. A. Barros, Alessandra Sciutti:
CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition. - Bing Wang, Lu Chen, Bo Yang:
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images. - Liang Li, Chenpei Huang, Dian Shi, Hao Wang, Xiangwei Zhou, Minglei Shu, Miao Pan:
Energy and Spectrum Efficient Federated Learning via High-Precision Over-the-Air Computation. - Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. - Tinkle Chugh:
Mono-surrogate vs Multi-surrogate in Multi-objective Bayesian Optimisation. - Luke Sperling, Nalini K. Ratha, Arun Ross, Vishnu Naresh Boddeti:
HEFT: Homomorphically Encrypted Fusion of Biometric Templates. - Khang Nhut Lam, Nguyen Hoang Huynh, Nguyen Bao Ngoc, To Thi Huynh Nhu, Nguyen Thanh Thao, Pham Hoang Hao, Vo Van Kiet, Bui Xuan Huynh, Jugal Kalita:
Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin. - Eric Liang, Mark Stamp:
Predicting Pedestrian Crosswalk Behavior Using Convolutional Neural Networks. - Chia Hong Tseng, Jie Zhang, Min-Te Sun, Kazuya Sakai, Wei-Shinn Ku:
Multi-modal Transformer Path Prediction for Autonomous Vehicle. - Mathew D. Hardy, Bill D. Thompson, P. M. Krafft, Thomas L. Griffiths:
Bias amplification in experimental social networks is reduced by resampling. - Blaz Skrlj, Boshko Koloski, Senja Pollak:
Retrieval-efficiency trade-off of Unsupervised Keyword Extraction. - Elias Trommer, Bernd Waschneck, Akash Kumar:
Combining Gradients and Probabilities for Heterogeneous Approximation of Neural Networks. - Ara Vartanian, Will Rosenbaum, Scott Alfeld:
Training-Time Attacks against k-Nearest Neighbors. - Farshad Rostami Ghadi, Wei-Ping Zhu:
RIS-aided secure communications over Fisher-Snedecor F Fading Channels. - Kelsey Urgo, Jaime Arguello:
Understanding the "Pathway" Towards a Searcher's Learning Objective. - Chenggang Zhang, Jinjiang Liu, Xueliang Zhang:
LCSM: A Lightweight Complex Spectral Mapping Framework for Stereophonic Acoustic Echo Cancellation. - Quanyu Dai, Zhenhua Dong, Xu Chen:
Debiased Recommendation with Neural Stratification. - Zhilu Wang, Yixuan Wang, Feisi Fu, Ruochen Jiao, Chao Huang, Wenchao Li, Qi Zhu:
A Tool for Neural Network Global Robustness Certification and Training. - Sara Khalili, Hoda Mohammadzade, Mohammad Mahdi Ahmadi:
Elderly Fall Detection Using CCTV Cameras under Partial Occlusion of the Subjects Body. - Rakhi Pratihar, Tovohery Hajatiana Randrianarisoa:
Antipodal two-weight rank metric codes. - Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar:
Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft. - Yu Li, Bill Wang, William Li, Ruwen Qin:
A Simulation Study of Passing Drivers' Responses to the Automated Truck-Mounted Attenuator System in Road Maintenance. - Di Wu:
Vehicle-road Cooperative Simulation and 3D Visualization System. - Christopher D. Wallbridge, Qiyuan Zhang:
Introducing RISK. - Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang:
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. - Alessio Sampieri, Guido D'Amely, Andrea Avogaro, Federico Cunico, Geri Skenderi, Francesco Setti, Marco Cristani, Fabio Galasso:
Pose Forecasting in Industrial Human-Robot Collaboration. - Jeffery Kline, Aaron Cahn, Paul Barford:
Placement Laundering and the Complexities of Attribution in Online Advertising. - Vignesh Viswanathan, Yair Zick:
A General Framework for Fair Allocation with Matroid Rank Valuations. - Yanran Chen, Steffen Eger:
MENLI: Robust Evaluation Metrics from Natural Language Inference. - Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. - Rahul Singh, Yongxin Chen:
Signed Graph Neural Networks: A Frequency Perspective. - Marco Huber, Fadi Boutros, Anh Thi Luu, Kiran B. Raja, Raghavendra Ramachandra, Naser Damer, Pedro C. Neto, Tiago Gonçalves, Ana Filipa Sequeira, Jaime S. Cardoso, João Tremoço, Miguel Lourenço, Sergio Serra, Eduardo Cermeño, Marija Ivanovska, Borut Batagelj, Andrej Kronovsek, Peter Peer, Vitomir Struc:
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data. - Tim Dettmers, Mike Lewis, Younes Belkada, Luke Zettlemoyer:
LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale. - Qinyi Chen, Negin Golrezaei, Fransisca Susan:
Fair Assortment Planning. - Satoshi Tsutsui, Xizi Wang, Guangyuan Weng, Yayun Zhang, David J. Crandall, Chen Yu:
Action Recognition based on Cross-Situational Action-object Statistics. - Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii:
Easy Differentially Private Linear Regression. - Costas Busch, Bogdan S. Chlebus, Dariusz R. Kowalski, Pavan Poudel:
Stable Scheduling in Transactional Memory. - Kevin Musgrave, Serge J. Belongie, Ser-Nam Lim:
Benchmarking Validation Methods for Unsupervised Domain Adaptation. - Subodh Mishra, Sushruth Nagesh, Sagar Manglani, Graham Mills, Punarjay Chakravarty, Gaurav Pandey:
Look Both Ways: Bidirectional Visual Sensing for Automatic Multi-Camera Registration. - Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew J. Hausknecht:
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control. - Hao Dong, Xieyuanli Chen, Simo Särkkä, Cyrill Stachniss:
Online Pole Segmentation on Range Images for Long-term LiDAR Localization in Urban Environments. - Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma:
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. - Conrad D. Hougen, Lance M. Kaplan, Magdalena Ivanovska, Federico Cerutti, Kumar Vijay Mishra, Alfred O. Hero III:
SOLBP: Second-Order Loopy Belief Propagation for Inference in Uncertain Bayesian Networks. - Haining Wang, Patrick Juola, Allen Riddell:
Reproduction and Replication of an Adversarial Stylometry Experiment. - Kalyana B. Nakshatrala:
Modeling thermal regulation in thin vascular systems: A mathematical analysis. - Imran Hossain, Md Aminul Haque Palash, Anika Tabassum Sejuty, Noor A. Tanjim, Md Abdullah Al Nasim, Sarwar Saif, Abu Bokor Suraj:
A Survey of Recommender System Techniques and the Ecommerce Domain. - Fan Bai, Alan Ritter, Peter B. Madrid, Dayne Freitag, John Niekrasz:
SynKB: Semantic Search for Synthetic Procedures. - Karsten Wendland:
Dürfen Maschinen denken (können)? Warum Künstliche Intelligenz eine Ethik braucht. (Are Machines Allowed to (be able to) Think? Why Artificial Intelligence Needs Ethics). - Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel:
Combining Predictions under Uncertainty: The Case of Random Decision Trees. - Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy:
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care. - Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang:
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. - Aleksandar Nikolov:
Private Query Release via the Johnson-Lindenstrauss Transform. - Xiaofeng Liu, Chae Hwa Yoo, Fangxu Xing, Hyejin Oh, Georges El Fakhri, Je-Won Kang, Jonghye Woo:
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives. - Ankit Goel, Dennis S. Bernstein:
Retrospective Cost Parameter Estimation with Application to Space Weather Modeling. - Jibran Ali Abbasi, Navid Mohammad Imran, Myounggyu Won:
WatchPed: Pedestrian Crossing Intention Prediction Using Embedded Sensors of Smartwatch. - Amin RezaSoltani, Ehsa Saffari, Sobhan Konjani, Hasan Ramezanian, Milad Zam:
Exploring the Viability of Robot-supported Flipped Classes in English for Medical Purposes Reading Com-prehension. - Jay DeYoung, Han-Chin Shing, Luyang Kong, Christopher Winestock, Chaitanya Shivade:
Entity Anchored ICD Coding. - John D. Haiducek:
Comments on SPD-41 software licensing requirements. - Thi Kieu Khanh Ho, Narges Armanfard:
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis. - Han Wu, Hamdi Joudeh:
Joint Communication and Channel Discrimination. - Yotam M. Y. Feldman, Sharon Shoham:
Invariant Inference With Provable Complexity From the Monotone Theory. - Yu Zhu, Santiago Segarra:
Hypergraphs with Edge-Dependent Vertex Weights: p-Laplacians and Spectral Clustering. - Alexander Tong, Frederik Wenkel, Dhananjay Bhaskar, Kincaid MacDonald, Jackson D. Grady, Michael Perlmutter, Smita Krishnaswamy, Guy Wolf:
Learnable Filters for Geometric Scattering Modules. - Tomislav Maric, Dennis Gläser, Jan-Patrick Lehr, Ioannis Papagiannidis, Benjamin Lambie, Christian H. Bischof, Dieter Bothe:
A Research Software Engineering Workflow for Computational Science and Engineering. - David Bieber, Kensen Shi, Petros Maniatis, Charles Sutton, Vincent J. Hellendoorn, Daniel D. Johnson, Daniel Tarlow:
A Library for Representing Python Programs as Graphs for Machine Learning. - Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. - Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi:
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. - Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. - Giammaria Giordano, Gerardo Festa, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Carmine Gravino:
On the Adoption and Effects of Source Code Reuse on Defect Proneness and Maintenance Effort. - Saba Akhyani, Mehryar Abbasi Boroujeni, Mo Chen, Angelica Lim:
Towards Inclusive HRI: Using Sim2Real to Address Underrepresentation in Emotion Expression Recognition. - Yunge Cui, Yinlong Zhang, Xieyuanli Chen, Jiahua Dong, Qingxiao Wu, Feng Zhu:
BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM. - Chuyen Nguyen, Caleb Morgan, Sudip Mittal:
CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models. - Jiawang Nie, Li Wang, Zequn Zheng:
Low Rank Tensor Decompositions and Approximations. - Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica:
Context-Aware Streaming Perception in Dynamic Environments. - Hadi Keramati, Feridun Hamdullahpur:
Deep convolutional surrogates and degrees of freedom in thermal design. - Gabriele Pozzato, Aki Takahashi, Xueyan Li, Donghoon Lee, Johan Ko, Simona Onori:
Core-shell enhanced single particle model for lithium iron phosphate batteries: model formulation and analysis of numerical solutions. - William L. Holland, Olga Ohrimenko, Anthony Wirth:
Single Round-trip Hierarchical ORAM via Succinct Indices. - Xumeng Wang, Wei Chen, Jiazhi Xia, Zhen Wen, Rongchen Zhu, Tobias Schreck:
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning. - Zan Gao, Xinglei Cui, Tao Zhuo, Zhiyong Cheng, An-An Liu, Meng Wang, Shenyong Chen:
Temporal Action Localization with Multi-temporal Scales. - Qing Song, Wenfeng Sun, Donghan Yang, Mengjie Hu, Chun Liu:
SGM-Net: Semantic Guided Matting Net. - Michael Klamkin, Mathieu Tanneau, Terrence W. K. Mak, Pascal Van Hentenryck:
Active Bucketized Learning for ACOPF Optimization Proxies. - Changcun Huang:
Universal Solutions of Feedforward ReLU Networks for Interpolations. - Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders:
On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems. - Otávio Cury da Costa Castro, Guilherme Amaral Avelino, Pedro de Alcântara dos Santos Neto, Ricardo Britto, Marco Túlio Valente:
Identifying Source Code File Experts. - Yunhong Li, Yuandong Bi, Weichuan Zhang, Jie Ren, Jinni Chen:
Color Image Edge Detection using Multi-scale and Multi-directional Gabor filter. - Phuong Ngo, Christan Thomas, Hieu Nguyen, Abdullah Eroglu, Konstantinos Oikonomou:
Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration. - Donghyun Son, Byounggyu Lew, Kwanghee Choi, Yongsu Baek, Seungwoo Choi, Beomjun Shin, Sungjoo Ha, Buru Chang:
Reliable Decision from Multiple Subtasks through Threshold Optimization: Content Moderation in the Wild. - Saurav Agarwal, Srinivas Akella:
The Correlated Arc Orienteering Problem. - Yueshan Lin, Wei Feng, Ting Zhou, Yanmin Wang, Yunfei Chen, Ning Ge, Cheng-Xiang Wang:
Integrating Satellites and Mobile Edge Computing for 6G Wide-Area Edge Intelligence: Minimal Structures and Systematic Thinking. - Jiaye Li, Minghao Li, Zikai Alex Wen, Wei Cai:
Understanding the Challenges of Team-Based Live Streaming for First-person Shooter Games. - Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang:
Knowledge-Injected Federated Learning. - Harmanpreet Kaur, Doug Downey, Amanpreet Singh, Evie Yu-Yen Cheng, Daniel S. Weld, Jonathan Bragg:
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs. - Loc X. Nguyen, Yan Kyaw Tun, Nguyen Dang Tri, Yu Min Park, Zhu Han, Choong Seon Hong:
Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAVs Networks: A Meta-Heuristic Approach. - Nicat Aliyev, Emre Mengi:
Large-Scale Minimization of the Pseudospectral Abscissa. - Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun:
Social Interactions for Autonomous Driving: A Review and Perspective. - Hyeokjoo Park, Do-Young Kwak:
An Immersed Weak Galerkin Method for Elliptic Interface Problems on Polygonal Meshes. - Songpengcheng Xia, Lei Chu, Ling Pei, Wenxian Yu, Robert C. Qiu:
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition. - Ali Can Demiralp, Dirk Norbert Helmrich, Joachim Protze, Torsten Wolfgang Kuhlen, Tim Gerrits:
Performance Assessment of Diffusive Load Balancing for Distributed Particle Advection. - Judith Sáinz-Pardo Díaz, Álvaro López García:
pyCANON: A Python library to check the level of anonymity of a dataset. - Kun Qiu, Harry Chang, Ying Wang, Xiahui Yu, Wenjun Zhu, Yingqi Liu, Jianwei Ma, Weigang Li, Xiaobo Liu, Shuo Dai:
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps. - Giovanni Naldi, Giuseppe Patanè:
A Graph-Based Modelling of Epidemics]{A Graph-Based Modelling of Epidemics: Properties, Simulation, and Continuum Limit. - Guntur Dharma Putra, Volkan Dedeoglu, Salil S. Kanhere, Raja Jurdak:
Towards Blockchain-based Trust and Reputation Management for Trustworthy 6G Networks. - Zhichao Xu, Anh Tran, Tao Yang, Qingyao Ai:
Reinforcement Learning to Rank with Coarse-grained Labels. - Koyu Mizutani, Haruki Mitarai, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki:
Prediction of Seismic Intensity Distributions Using Neural Networks. - Antonios Antoniadis, Mark de Berg, Sándor Kisfaludi-Bak, Antonis Skarlatos:
Computing Smallest Convex Intersecting Polygons. - Jingyao Zhang, Elaheh Sadredini:
Inhale: Enabling High-Performance and Energy-Efficient In-SRAM Cryptographic Hash for IoT. - Jingwen Zhao, Ming Chen, Cunhua Pan, Zhiyang Li, Gui Zhou, Xiao Chen:
MSE-Based Transceiver Designs for RIS-Aided Communications With Hardware Impairments. - Monika Henzinger, Ami Paz, A. R. Sricharan:
Fine-Grained Complexity Lower Bounds for Families of Dynamic Graphs. - Valeria Pontillo, Dario Amoroso d'Aragona, Fabiano Pecorelli, Dario Di Nucci, Filomena Ferrucci, Fabio Palomba:
Machine Learning-Based Test Smell Detection. - Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim:
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. - Bartosz Bednarczyk:
Order-Invariance of Two-Variable Logic is coNExpTime-complete. - Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam:
Deletion Robust Non-Monotone Submodular Maximization over Matroids. - Jian Jin, Yuan Xue, Xingxing Zhang, Lili Meng, Yao Zhao, Weisi Lin:
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation. - Zhaoxia Yin, Heng Yin, Xinpeng Zhang:
Neural network fragile watermarking with no model performance degradation. - Maël Franceschetti, Coline Lacoux, Ryan Ohouens, Antonin Raffin, Olivier Sigaud:
Making Reinforcement Learning Work on Swimmer. - Anna Reithmeir, Luis F. C. Figueredo, Sami Haddadin:
Human-to-Robot Manipulability Domain Adaptation with Parallel Transport and Manifold-Aware ICP. - Licai Sun, Zheng Lian, Bin Liu, Jianhua Tao:
Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis. - Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin:
Uncertainty-guided Source-free Domain Adaptation. - Guoliang Li, Shuai Wang, Kejiang Ye, Miaowen Wen, Derrick Wing Kwan Ng, Marco Di Renzo:
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection. - Harald G. Svendsen, Til Kristian Vrana, Andrzej Holdyk, Heiner Schümann:
The Low Emission Oil&Gas Open (LEOGO) Reference Platform of an Off-Grid Energy System for Renewable Integration Studies. - Han Hao, Dandan Jiang, Lu Yang, Hao Wu, Bo Bai:
The Moment Passing Method for Wireless Channel Capacity Estimation. - Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. - Benedict Philippi, Thomas Slawig:
The Parareal Algorithm Applied to the FESOM 2 Ocean Circulation Model. - Christina Schenk, David Portillo, Ignacio Romero:
Mixed-dimensional linked models of diffusion: mathematical analysis and stable finite element discretizations. - Wenhao Ye, Huihui Wu, Shitong Wu, Yizhu Wang, Wenyi Zhang, Hao Wu, Bo Bai:
An Optimal Transport Approach to the Computation of the LM Rate. - Tan Yang:
Achieve Fully Decentralized End to End Encryption Meeting via Blockchain. - Seyma Yucer, Matt Poyser, Noura Al Moubayed, Toby P. Breckon:
Does lossy image compression affect racial bias within face recognition? - Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo:
KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. - Rosalia Tufano, Emad Aghajani, Gabriele Bavota:
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs. - Bryce McLaughlin, Jann Spiess:
Algorithmic Assistance with Recommendation-Dependent Preferences. - Zhenwei Tang, Tilman Hinnerichs, Xi Peng, Xiangliang Zhang, Robert Hoehndorf:
FALCON: Sound and Complete Neural Semantic Entailment over ALC Ontologies. - Qixin Zhang, Zengde Deng, Zaiyi Chen, Kuangqi Zhou, Haoyuan Hu, Yu Yang:
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback. - Mahdi Shariatzadeh, Mahdi Eftekhari, Mohammad Javad Rostami:
A New Scheme for Image Compression and Encryption Using ECIES, Henon Map, and AEGAN. - Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. - Torgeir Dingsøyr:
Educating Reflective Systems Developers at Scale: Towards productive feedback in a semi-capstone large-scale software engineering course. - Olusola Tolulope Odeyomi, Olubiyi O. Akintade, Temitayo O. Olowu, Gergely V. Záruba:
A Review of the Convergence of 5G/6G Architecture and Deep Learning. - Bas van den Heuvel, Jorge A. Pérez:
Asynchronous Functional Sessions: Cyclic and Concurrent (Extended Version). - Thomas Louf, Bruno Gonçalves, José J. Ramasco, David Sánchez, Jack Grieve:
American cultural regions mapped through the lexical analysis of social media. - Pierre Sutra:
The Weakest Failure Detector for Genuine Atomic Multicast (Extended Version). - Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. - Omiros Pantazis, Mathew Salvaris:
Matching Multiple Perspectives for Efficient Representation Learning. - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
DRAGON: Decentralized Fault Tolerance in Edge Federations. - Priya Mehta, Sanat Bhargava, M. Ravi Kumar, K. Sandeep Kumar, Ch. Sobhan Babu:
Representation Learning on Graphs to Identifying Circular Trading in Goods and Services Tax. - Shuo Liu, Weize Quan, Ming Zhou, Sihong Chen, Jian Kang, Zhe Zhao, Chen Chen, Dong-Ming Yan:
M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval. - Simone Bottoni, Anwitaman Datta, Federico Franzoni, Emanuele Ragnoli, Roberto Ripamonti, Christian Rondanini, Gokhan Sagirlar, Alberto Trombetta:
QPQ 1DLT: A system for the rapid deployment of secure and efficient EVM-based blockchains. - Yasushi Kawase, Hanna Sumita, Yu Yokoi:
Random Assignment of Indivisible Goods under Constraints. - Tom Zelazny, Haoze Wu, Clark W. Barrett, Guy Katz:
On Optimizing Back-Substitution Methods for Neural Network Verification. - Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu:
ConTextual Mask Auto-Encoder for Dense Passage Retrieval. - Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin:
Approximated Doubly Robust Search Relevance Estimation. - Yaqian Zhang, Yi Zhang, Frede Blaabjerg, Jianzhong Zhang:
A non-invasive fault location method for modular multilevel converters under light load conditions. - Priya Mehta, Sandeep Kumar, Ravi Kumar, Ch. Sobhan Babu:
Enhancement to Training of Bidirectional GAN : An Approach to Demystify Tax Fraud. - Ming Hu, Zhihao Yue, Zhiwei Ling, Xian Wei, Mingsong Chen:
FedMR: Fedreated Learning via Model Recombination. - Yu Cao, Yancheng Wang, Yifei Xue, Huiqing Zhang, Yizhen Lao:
FEC: Fast Euclidean Clustering for Point Cloud Segmentation. - Yuki Okamoto, Keisuke Imoto, Shinnosuke Takamichi, Takahiro Fukumori, Yoichi Yamashita:
How Should We Evaluate Synthesized Environmental Sounds. - Chong Zhang:
Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning. - Silvia Cascianelli, Vittorio Pippi, Martin Maarand, Marcella Cornia, Lorenzo Baraldi, Christopher Kermorvant, Rita Cucchiara:
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition. - Fatema Al Mukhaini, Shaikhah Al Abdoulie, Aisha Al Kharuosi, Amal El Ahmad, Monther Aldwairi:
FALSE: Fake News Automatic and Lightweight Solution. - Anurag Sarkar, Seth Cooper:
tile2tile: Learning Game Filters for Platformer Style Transfer. - Moisés Lodeiro-Santiago, Iván Santos-González, Pino Caballero-Gil, Cándido Caballero-Gil:
Secure system based on UAV and BLE for improving SAR missions. - Alexandra Rivero-García, Iván Santos-González, Candelaria Hernández-Goya, Pino Caballero-Gil:
Using blockchain in the follow-up of emergency situations related to events. - Iván Santos-González, Pino Caballero-Gil, Alexandra Rivero-García, Cándido Caballero-Gil:
Priority and collision avoidance system for traffic lights. - Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng:
QuickSkill: Novice Skill Estimation in Online Multiplayer Games. - Petr Knobloch:
An algebraically stabilized method for convection-diffusion-reaction problems with optimal experimental convergence rates on general meshes. - (Withdrawn) Existence and Construction of LCD codes over Finite Fields.
- Yizhan Huang, Xiaogang Xu:
Towards Local Underexposed Photo Enhancement. - Manon P. Bart, Nicholas J. Savino, Paras Regmi, Lior Cohen, Haleh Safavi, Harry C. Shaw, Sanjaya Lohani, Thomas A. Searles, Brian T. Kirby, Hwang Lee, Ryan T. Glasser:
Deep learning for enhanced free-space optical communications. - Sai Pavan Tadem:
Traditional methods in Edge, Corner and Boundary detection. - Jingru Zhu, Ya Guo, Geng Sun, Libo Yang, Min Deng, Jie Chen:
Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level context memory. - Seokhwan Choi, Hanpil Kang, Dongjae Lim:
Simple deterministic O(n log n) algorithm finding a solution of Erdős-Ginzburg-Ziv theorem. - Hao Wu:
Direct Sum Theorems From Fortification. - Jaemin Yoo, Tiancheng Zhao, Leman Akoglu:
Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection. - Tao Yan, Mingyue Li, Bin Li, Yang Yang, Rynson W. H. Lau:
Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process. - Robert A. Marsden, Mario Döbler, Bin Yang:
Gradual Test-Time Adaptation by Self-Training and Style Transfer. - Nishanth Kumar, Willie McClinton, Rohan Chitnis, Tom Silver, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Learning Operators with Ignore Effects for Bilevel Planning in Continuous Domains. - Yansong Zhang, Bo Shen, Yingsi Zhao:
Rational Uniform Consensus with General Omission Failures. - François Michel, Alejandro Cohen, Derya Malak, Quentin De Coninck, Muriel Médard, Olivier Bonaventure:
FlEC: Enhancing QUIC with application-tailored reliability mechanisms. - Dong Li, Lifang Chen:
Three New Arnoldi-Type Methods for the Quadratic Eigenvalue Problem in Rotor Dynamics. - Tomas Geffner, Justin Domke:
Langevin Diffusion Variational Inference. - Lai Wei, Kezhi Wang, Cunhua Pan, Maged Elkashlan:
Secrecy Performance Analysis of RIS-aided Communication System with Randomly Flying Eavesdroppers. - Galina Deeva, Johannes De Smedt, Cecilia Saint-Pierre, Richard Weber, Jochen De Weerdt:
Predicting student performance using sequence classification with time-based windows. - Liang Lv, Yi Fang, Lin Dai, Yonghui Li, Mohsen Guizani:
Asymmetric Dual-Mode Constellation and Protograph LDPC Code Design for Generalized Spatial MPPM Systems. - Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan:
Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. - Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-Aware Dynamic Unsupervised Domain Adaptation. - Wentao Jiang, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Si Liu:
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation. - Zesen Liu, Meng Guo, Zhongkui Li:
Time Minimization and Online Synchronization for Multi-agent Systems under Collaborative Temporal Tasks. - Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo:
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. - Gabriel F. Barros, Malú Grave, José J. Camata, Alvaro L. G. A. Coutinho:
Enhancing Dynamic Mode Decomposition Workflow with In-Situ Visualization and Data Compression. - Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model. - Jasmin Blanchette, Petar Vukmirovic:
SAT-Inspired Higher-Order Eliminations. - Enqiang Zhu, Yu Zhang, Chanjuan Liu:
An Adaptive Repeated-Intersection-Reduction Local Search for the Maximum Independent Set Problem. - Elwin Huaman:
Steps to Knowledge Graphs Quality Assessment. - Lukasz Bozyk, Michal Pilipczuk:
Polynomial kernel for immersion hitting in tournaments. - Xiulong Yang, Sheng-Min Shih, Yinlin Fu, Xiaoting Zhao, Shihao Ji:
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model. - Jiazheng Zhang, Bang Wang:
Dismantling Complex Networks by a Neural Model Trained from Tiny Networks. - Bin Deng, Kui Jia:
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization. - Bin Guo, Emil Sekerinski:
New Parallel Order Maintenance Data Structure. - William Anderson, Kaneesha Moore, Jesse Ables, Sudip Mittal, Shahram Rahimi, Ioana Banicescu, Maria Seale:
Designing an Artificial Immune System inspired Intrusion Detection System. - John Harwell, Maria L. Gini:
SIERRA: A Modular Framework for Research Automation and Reproducibility. - Giovanni Gabbolini, Derek Bridge:
A User-Centered Investigation of Personal Music Tours. - Nirmalya Thakur:
A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave. - Alessandro Sestini, Joakim Bergdahl, Konrad Tollmar, Andrew D. Bagdanov, Linus Gisslén:
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning. - Yang Zhi-Han:
Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial. - Zhangjie Peng, Zhibo Zhang, Lei Kong, Cunhua Pan, Li Li, Jiangzhou Wang:
Deep Reinforcement Learning for RIS-aided Multiuser Full-Duplex Secure Communications with Hardware Impairments. - Ngoc Bui, Phi Le Nguyen, Viet Anh Nguyen, Phan-Thuan Do:
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks. - Mahdi Shariatzadeh, Mohammad Javad Rostami, Mahdi Eftekhari:
An Adaptive Image Encryption Scheme Guided by Fuzzy Models. - Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing. - Damith Premasiri, Tharindu Ranasinghe:
BERT(s) to Detect Multiword Expressions. - Wei Zhou, Lan Zhang, Le Guan, Peng Liu, Yuqing Zhang:
What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation. - Sam Grabus, Peter Melville Logan, Jane Greenberg:
Temporal Concept Drift and Alignment: An empirical approach to comparing Knowledge Organization Systems over time. - Saeed Seyedfaraji, Javad Talafy, Mohamed M. Sabry, Semeen Rehman:
EXTENT: Enabling Approximation-Oriented Energy Efficient STT-RAM Write Circuit. - Zhangjie Peng, Xue Liu, Cunhua Pan, Li Li, Jiangzhou Wang:
Multi-Pair D2D Communications Aided by An Active RIS over Spatially Correlated Channels with Phase Noise. - Pedro C. Neto, Tiago Gonçalves, Marco Huber, Naser Damer, Ana Filipa Sequeira, Jaime S. Cardoso:
OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement. - Ye Ma, Lu Zong:
Parallel Hierarchical Transformer with Attention Alignment for Abstractive Multi-Document Summarization. - Lorenz Stangier, Ji-Ung Lee, Yuxi Wang, Marvin Müller, Nicholas Frick, Joachim Metternich, Iryna Gurevych:
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. - Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. - Jeová Farias Sales Rocha Neto:
Estimating Appearance Models for Image Segmentation via Tensor Factorization. - Laura M. Smith, Ilya Kostrikov, Sergey Levine:
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. - Haonan Qiu, Yuming Jiang, Hang Zhou, Wayne Wu, Ziwei Liu:
StyleFaceV: Face Video Generation via Decomposing and Recomposing Pretrained StyleGAN3. - Vinura Dhananjaya, Piyumal Demotte, Surangika Ranathunga, Sanath Jayasena:
BERTifying Sinhala - A Comprehensive Analysis of Pre-trained Language Models for Sinhala Text Classification. - Bu Jin, Beiwen Tian, Hao Zhao, Guyue Zhou:
Language-guided Semantic Style Transfer of 3D Indoor Scenes. - Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu:
On the Convergence of Multi-Server Federated Learning with Overlapping Area. - Pulkit Gera, Mohammad Reza Karimi Dastjerdi, Charles Renaud, P. J. Narayanan, Jean-François Lalonde:
Casual Indoor HDR Radiance Capture from Omnidirectional Images. - Philippe P. Pébay, J. Maurice Rojas, David C. Thompson:
Sturm's Theorem with Endpoints. - Jonathan Bader, Fabian Lehmann, Alexander Groth, Lauritz Thamsen, Dominik Scheinert, Jonathan Will, Ulf Leser, Odej Kao:
Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures. - Huaduo Wang, Gopal Gupta:
FOLD-SE: Scalable Explainable AI. - Toygun Basaklar, Suat Gumussoy, Ümit Y. Ogras:
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm. - Jonathan Vasquez Verdugo, Xavier Gitiaux, Huzefa Rangwala:
Ex-Ante Assessment of Discrimination in Dataset. - Hamid Mozaffari, Virendra J. Marathe, Dave Dice:
FedPerm: Private and Robust Federated Learning by Parameter Permutation. - Orlenys López-Pintado, Marlon Dumas:
Business Process Simulation with Differentiated Resources: Does it Make a Difference? - James Wensel, Hayat Ullah, Arslan Munir:
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos. - Povilas Daniusis, Shubham Juneja, Lukas Kuzma, Virginijus Marcinkevicius:
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions. - Kizito Salako, Xingyu Zhao:
Conservative Bayesian Assessment of Software-based Systems Exhibiting Correlated Executions. - Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C. V. Jawahar:
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments. - Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron C. Courville:
Riemannian Diffusion Models. - Nisha Chandramoorthy, Andreas Loukas, Khashayar Gatmiry, Stefanie Jegelka:
On the generalization of learning algorithms that do not converge. - Hadi Keramati, Feridun Hamdullahpur:
Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment. - Jiayan Gu, Ashiq Anjum, Yan Wu, Lu Liu, John Panneerselvam, Yao Lu, Bo Yuan:
The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. - Kori Inkpen, Shreya Chappidi, Keri Mallari, Besmira Nushi, Divya Ramesh, Pietro Michelucci, Vani Mandava, Libuse Hannah Veprek, Gabrielle Quinn:
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making. - Uchenna Daniel Ani, Jeremy D. McK. Watson, Nilufer Tuptuk, Steve Hailes, Madeline Carr, Carsten Maple:
Improving the Cybersecurity of Critical National Infrastructure using Modelling and Simulation. - Jonggi Hong, Jaina Gandhi, Ernest Essuah Mensah, Ebrima H. Jarjue, Kyungjun Lee, Hernisa Kacorri:
Blind Users Accessing Their Training Images in Teachable Object Recognizers. - Yuqin Jiang, Andrey A. Popov, Zhenlong Li, Michael E. Hodgson:
An optimal sensors-based simulation method for spatiotemporal event detection. - Amir Salimi Lafmejani, Spring Berman, Georgios Fainekos:
NMPC-LBF: Nonlinear MPC with Learned Barrier Function for Decentralized Safe Navigation of Multiple Robots in Unknown Environments. - Sixing Yu, Wei Qian, Ali Jannesari:
Resource-aware Federated Learning using Knowledge Extraction and Multi-model Fusion. - Preetam Anbukarasu, Shailesh Nanisetty, Ganesh Tata, Nilanjan Ray:
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices. - Peter Rottmann, Markus Wallinger, Annika Bonerath, Sven Gedicke, Martin Nöllenburg, Jan-Henrik Haunert:
MosaicSets: Embedding Set Systems into Grid Graphs. - Alex Bie, Gautam Kamath, Vikrant Singhal:
Private Estimation with Public Data. - Weili Wang, Chengchao Liang, Lun Tang, Halim Yanikomeroglu, Qianbin Chen:
Federated Multi-Discriminator BiWGAN-GP based Collaborative Anomaly Detection for Virtualized Network Slicing. - Youssef El Amrani, Saad Motahhir, Abdelaziz El Ghzizal:
Vehicle Electrification Solutions: review and open challenges. - Mingyu Derek Ma, Alexander Taylor, Wei Wang, Nanyun Peng:
DICE: Data-Efficient Clinical Event Extraction with Generative Models. - Xiao Li, Weili Wu:
Recent Advances of Blockchain and its Applications. - Prateek Verma, Jonathan Berger:
Enhancing Audio Perception of Music By AI Picked Room Acoustics. - Jiaxiang Jiang, Amil Khan, S. Shailja, Samuel A. Belteton, Michael Goebel, Daniel B. Szymanski, B. S. Manjunath:
Deep Learning Enabled Time-Lapse 3D Cell Analysis. - Alex Warstadt, Samuel R. Bowman:
What Artificial Neural Networks Can Tell Us About Human Language Acquisition. - Tanmay Ghai, Yixiang Yao, Srivatsan Ravi, Pedro A. Szekely:
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. - Emad Elwany, Allison Hegel, Marina Shah, Brendan Roof, Genevieve Peaslee, Quentin Rivet:
DeeperDive: The Unreasonable Effectiveness of Weak Supervision in Document Understanding A Case Study in Collaboration with UiPath Inc. - Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, Lu Feng:
A Study on Learning and Simulating Personalized Car-Following Driving Style. - Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman:
Superior generalization of smaller models in the presence of significant label noise. - Tesi Xiao, Xia Xiao, Ming Chen, Youlong Chen:
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction. - Haosen Ge, In Young Park, Xuancheng Qian, Grace Zeng:
Transformer Encoder for Social Science. - Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong:
Resource Allocation in Quantum Key Distribution (QKD) for Space-Air-Ground Integrated Networks. - Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu:
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset. - Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. - Lingwei Li, Li Yang, Huaxi Jiang, Jun Yan, Tiejian Luo, Zihan Hua, Geng Liang, Chun Zuo:
AUGER: Automatically Generating Review Comments with Pre-training Models. - Huali Xu, Li Liu:
Cross-Domain Few-Shot Classification via Inter-Source Stylization. - Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah:
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. - Hung T. Nguyen, Steven Bottone, Kwang Taik Kim, Mung Chiang, H. Vincent Poor:
Interference Cancellation GAN Framework for Dynamic Channels. - Shaojie Tang, Jing Yuan:
Streaming Adaptive Submodular Maximization. - Bin Ji, Shasha Li, Shaoduo Gan, Jie Yu, Jun Ma, Huijun Liu:
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed Prototypes. - Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. - Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh:
AutoCAT: Reinforcement Learning for Automated Exploration of Cache Timing-Channel Attacks. - Mingjian Tuo, Xingpeng Li:
Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems. - Huijun Liu, Jie Yu, Shasha Li, Jun Ma, Bin Ji:
A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search. - Neset Ünver Akmandor, Hongyu Li, Gary Lvov, Eric Dusel, Taskin Padir:
Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives. - Bingbing Wen, Xiaoning Bu, Chirag Shah:
EGCR: Explanation Generation for Conversational Recommendation. - Zhaoyun Jiang, Huayu Deng, Zhongkai Wu, Jiaqi Guo, Shizhao Sun, Vuksan Mijovic, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation. - Jie Wen, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu, Zhao Zhang, Jinxing Li:
A Survey on Incomplete Multi-view Clustering. - John Willes, Cody Reading, Steven L. Waslander:
InterTrack: Interaction Transformer for 3D Multi-Object Tracking. - Gaofeng Cheng, Yifan Chen, Runyan Yang, Qingxuan Li, Zehui Yang, Lingxuan Ye, Pengyuan Zhang, Qingqing Zhang, Lei Xie, Yanmin Qian, Kong Aik Lee, Yonghong Yan:
The Conversational Short-phrase Speaker Diarization (CSSD) Task: Dataset, Evaluation Metric and Baselines. - Sachith Seneviratne, Jasper S. Wijnands, Kerry A. Nice, Haifeng Zhao, Branislava Godic, Suzanne Mavoa, Rajith Vidanaarachchi, Mark Stevenson, Leandro García, Ruth F. Hunter, Jason Thompson:
Urban feature analysis from aerial remote sensing imagery using self-supervised and semi-supervised computer vision. - Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images. - Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. - Xukun Luo, Ping Wang:
A Sequence Tagging based Framework for Few-Shot Relation Extraction. - Heng Zhang, Haoyi Song, Wenhang Liu, Xinjun Sheng, Zhenhua Xiong, Xiangyang Zhu:
Hierarchical Motion Planning Framework for Cooperative Transportation of Multiple Mobile Manipulators. - Zhangjie Peng, Xianzhe Chen, Cunhua Pan, Maged Elkashlan, Jiangzhou Wang:
Performance Analysis and Optimization for RIS-Assisted Multi-User Massive MIMO Systems with Imperfect Hardware. - Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo:
Sampling Through the Lens of Sequential Decision Making. - Ji Xu, Gang Ren, Yao Xiao, Shaobo Li, Guoyin Wang:
Semi-supervised Learning with Deterministic Labeling and Large Margin Projection. - Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq:
Efficient dynamic point cloud coding using Slice-Wise Segmentation. - Guangxuan Xu, Paulina Toro Isaza, Moshi Li, Akintoye Oloko, Bingsheng Yao, Aminat Adebiyi, Yufang Hou, Nanyun Peng, Dakuo Wang:
NECE: Narrative Event Chain Extraction Toolkit. - Yifan Zhang, Junwen Yang, Haoyu Dong, Qingchen Wang, Huajie Shao, Kevin Leach, Yu Huang:
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. - Christa Jenkins, Mark Moir, Harold Carr:
Proof Engineering with Predicate Transformer Semantics. - Jong-Wouk Kim, Yang-Sae Moon, Mi-Jung Choi:
An Efficient Multi-Step Framework for Malware Packing Identification. - Debapriya Roy, Diganta Mukherjee, Bhabatosh Chanda:
Significance of Skeleton-based Features in Virtual Try-On. - Menghao Li, Wenquan Feng, Shuchang Lyu, Lijiang Chen, Qi Zhao:
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation. - Dong Won Lee, Chaitanya Ahuja, Paul Pu Liang, Sanika Natu, Louis-Philippe Morency:
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides. - Zhengding Luo, Dong-Yuan Shi, Woon-Seng Gan:
A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning. - Dong Huang, Qingwen Bu, Yuhao Qing, Haowen Pi, Sen Wang, Heming Cui:
Two Heads are Better than One: Robust Learning Meets Multi-branch Models. - Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang:
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. - Konstantinos Konstantinidis, Aditya Ramamoorthy:
Efficient Detection and Filtering Systems for Distributed Training. - Zhengding Luo, Dongyuan Shi, Junwei Ji, Woon-Seng Gan:
Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism. - Maryam Soleymani, Mahdi Bonyani:
Autonomous Resource Management in Construction Companies Using Deep Reinforcement Learning Based on IoT. - Chendi Li, Haipeng Jia, Hang Cao, Jianyu Yao, Boqian Shi, Chunyang Xiang, Jinbo Sun, Pengqi Lu, Yunquan Zhang:
AutoTSMM: An Auto-tuning Framework for Building High-Performance Tall-and-Skinny Matrix-Matrix Multiplication on CPUs. - Jaron Mar, Jiamou Liu:
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification. - Jianyuan Ni, Anne H. H. Ngu, Yan Yan:
Progressive Cross-modal Knowledge Distillation for Human Action Recognition. - Heng Yao, Sanaz Motamedi, Wayne C. W. Giang, Alexandra Kondyli, Eakta Jain:
In-vehicle alertness monitoring for older adults. - Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria:
Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing. - Paresh Baidya, Swagata Mandal, Rourab Paul:
Near Threshold Computation of Partitioned Ring Learning With Error (RLWE) Post Quantum Cryptography on Reconfigurable Architecture. - Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu:
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma:
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System. - Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. - Shangqing Liu, Yanzhou Li, Yang Liu:
CommitBART: A Large Pre-trained Model for GitHub Commits. - Feiqi Cao, Soyeon Caren Han, Siqu Long, Changwei Xu, Josiah Poon:
Understanding Attention for Vision-and-Language Tasks. - Jing Jiang, Weihong Deng:
Disentangling Identity and Pose for Facial Expression Recognition. - Silvia Cascianelli, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
Boosting Modern and Historical Handwritten Text Recognition with Deformable Convolutions. - Hongyuan Lu, Wai Lam:
PCC: Paraphrasing with Bottom-k Sampling and Cyclic Learning for Curriculum Data Augmentation. - Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim:
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning. - Jihyeon Hyeong, Jayoung Kim, Noseong Park, Sushil Jajodia:
An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models. - Zican Hu, Wurui Shi, Hongkun Liu, Xueyun Chen:
Road detection via a dual-task network based on cross-layer graph fusion modules. - Sindhu B. Hegde, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors. - Magnús M. Halldórsson, Yannic Maus, Alexandre Nolin:
Fast Distributed Vertex Splitting with Applications. - Weijie Wang, Song Liu, Qinfeng Shan, Lihao Jia:
Highly dynamic locomotion control of biped robot enhanced by swing arms. - Jinle Zeng, Min Li, Zhihua Wu, Jiaqi Liu, Yuang Liu, Dianhai Yu, Yanjun Ma:
Boosting Distributed Training Performance of the Unpadded BERT Model. - Yang Li, Kee Siong Ng, Michael Purcell:
A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption. - Minsig Han, Ameha Tsegaye Abebe, Chung Gu Kang:
On the Performance of Deep Learning-based Data-aided Active-user Detection for GF-SCMA System. - Elwin Huaman, Dieter Fensel:
Knowledge Graph Curation: A Practical Framework. - Fang-Ching Chen, Kuan-Dar Chen, Yi-Wen Liu:
Domestic sound event detection by shift consistency mean-teacher training and adversarial domain adaptation. - Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro:
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. - Bo Liu, Yihao Feng, Qiang Liu, Peter Stone:
Metric Residual Networks for Sample Efficient Goal-conditioned Reinforcement Learning. - Lin Ding, Peng Liu, Wenfeng Shen, Weijia Lu, Shengbo Chen:
Gradient-Based Meta-Learning Using Uncertainty to Weigh Loss for Few-Shot Learning. - Oleksandra Klymenko, Stephen Meisenbacher, Florian Matthes:
Differential Privacy in Natural Language Processing: The Story So Far. - Hua Li, Junyan Liang, Ruiqi Wu, Runmin Cong, Junhui Wu, Sam Tak-Wu Kwong:
Stereo Superpixel Segmentation Via Decoupled Dynamic Spatial-Embedding Fusion Network. - Matthias Függer, Christoph Lenzen, Ulrich Schmid:
On Specifications and Proofs of Timed Circuits. - Haixiao Chi, Dawei Wang, Gaojie Cui, Feng Mao, Beishui Liao:
A Concept and Argumentation based Interpretable Model in High Risk Domains. - Torsten Linß, Goran Radojev:
Maximum-norm a posteriori error bounds for an extrapolated Euler/finite element discretisation of parabolic equations. - Andre Thevapalan, Gabriele Kern-Isberner:
On Establishing Robust Consistency in Answer Set Programs. - Yonghwan Kim, Masahiro Shibata, Yuichi Sudo, Junya Nakamura, Yoshiaki Katayama, Toshimitsu Masuzawa:
Gathering Despite Defected View. - Luke Thorburn, Maria Polukarov, Carmine Ventre:
Information Loss in Euclidean Preference Models. - Dongyang Kuang, Craig Michoski:
KAM - a Kernel Attention Module for Emotion Classification with EEG Data. - Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning. - Finn Behrendt, Debayan Bhattacharya, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs. - Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas:
Finding Fair Allocations under Budget Constraints. - Dan Navon, Alex M. Bronstein:
Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound. - Imen Sayar, Alexandre Bartel, Eric Bodden, Yves Le Traon:
An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities. - François Desbouvries, Yohan Petetin, Achille Salaün:
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint. - Rita Sevastjanova, Eren Cakmak, Shauli Ravfogel, Ryan Cotterell, Mennatallah El-Assady:
Visual Comparison of Language Model Adaptation. - Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn:
Deep Learning-Based Discrete Calibrated Survival Prediction. - Gabriel Van Zandycke, Vladimir Somers, Maxime Istasse, Carlo Del Don, Davide Zambrano:
DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations. - Dan Navon, Alex M. Bronstein:
Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems. - Nandita Pattnaik, Shujun Li, Jason R. C. Nurse:
A Survey of User Perspectives on Security and Privacy in a Home Networking Environment. - Josef Valvoda, Naomi Saphra, Jonathan Rawski, Ryan Cotterell, Adina Williams:
Learning Transductions to Test Systematic Compositionality. - Rasmus Adler, Michael Klaes:
Assurance Cases as Foundation Stone for Auditing AI-enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project. - Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo:
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. - Hai Pham, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang:
Understanding Long Documents with Different Position-Aware Attentions. - Fetullah Atas, Grzegorz Cielniak, Lars Grimstad:
Elevation State-Space: Surfel-Based Navigation in Uneven Environments for Mobile Robots. - Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch:
Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data. - Woohyeon Moon, Bumgeun Park, Sarvar Hussain Nengroo, Taeyoung Kim, Dongsoo Har:
Path Planning of Cleaning Robot with Reinforcement Learning. - Alkida Balliu, Mohsen Ghaffari, Fabian Kuhn, Dennis Olivetti:
Node and Edge Averaged Complexities of Local Graph Problems. - Federico Izzo, Olof Runborg, Richard Tsai:
Convergence of a class of high order corrected trapezoidal rules. - Quentin Leroy, Olivier Buisson, Alexis Joly:
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval? - Jin Huang, Bosong Huang, Weihao Yu, Jing Xiao, Ruzhong Xie, Ke Ruan:
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario. - Tung-Lam Duong, Van-Duc Le, Tien-Cuong Bui, Hai-Thien To:
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System. - Fakhri Momeni, Stefan Dietze, Philipp Mayr, Kristin Biesenbender, Isabella Peters:
Which Factors Drive Open Access Publishing? A Springer Nature Case Study. - Muhammad Muzammel, Mohd Zuki Yusoff, Mohamad Naufal Mohamad Saad, Faryal Sheikh, Muhammad Ahsan Awais:
Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture. - Josef Valvoda, Ryan Cotterell, Simone Teufel:
On the Role of Negative Precedent in Legal Outcome Prediction. - Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q. Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda:
A Scalable and Extensible Approach to Benchmarking NL2Code for 18 Programming Languages. - Junan Pan, Zhihao Zhao:
Deep Autoencoder Model Construction Based on Pytorch. - Swaroop Mishra, Elnaz Nouri:
HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models. - Lukas Kirschner, Ezekiel O. Soremekun, Rahul Gopinath, Andreas Zeller:
Input Repair via Synthesis and Lightweight Error Feedback. - John Molloy, John Alexander McDermid:
Safety Assessment for Autonomous Systems' Perception Capabilities. - Martino Bernasconi, Alberto Marchesi, Francesco Trovò:
Last-iterate Convergence to Trembling-hand Perfect Equilibria. - Yining Wang, Mingzhe Chen, Tao Luo, Walid Saad, Dusit Niyato, H. Vincent Poor, Shuguang Cui:
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach. - Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting:
ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber. - Xinnian Liang, Jing Li, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Mu Li, Zhoujun Li:
An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks. - Bing-Yang Lin, Daria Dziubaltowska, Piotr Macek, Andreas Penzkofer, Sebastian Müller:
Robustness of the Tangle 2.0 Consensus. - Ashraf Tantawy:
On the Elements of Datasets for Cyber Physical Systems Security. - Pál András Papp, Georg Anegg, A. N. Yzelman:
Partitioning Hypergraphs is Hard: Models, Inapproximability, and Applications. - Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. - Sören Bartels, Balázs Kovács, Zhangxian Wang:
Error analysis for the numerical approximation of the harmonic map heat flow with nodal constraints. - Justin Zhang, Deborah Lee, Kylie Jungles, Diane Shaltis, Kayvan Najarian, Rajan Ravikumar, Georgiana Sanders, Jonathan Gryak:
Prediction of Oral Food Challenges via Machine Learning. - Pranab Jyoti Deka, Lukas Einkemmer, Mayya Tokman:
LeXInt: Package for Exponential Integrators employing Leja interpolation. - Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu:
On the Privacy Effect of Data Enhancement via the Lens of Memorization. - Vikram Voleti, Boris N. Oreshkin, Florent Bocquelet, Félix G. Harvey, Louis-Simon Ménard, Christopher Pal:
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows. - Maxim Susloparov, Artem N. Krasilov, Evgeny M. Khorov:
Providing High Capacity for AR/VR traffic in 5G Systems with Multi-Connectivity. - Furkan Gursoy, Ioannis A. Kakadiaris:
Error Parity Fairness: Testing for Group Fairness in Regression Tasks. - Yidong Wang, Hao Wu, Ao Liu, Wenxin Hou, Zhen Wu, Jindong Wang, Takahiro Shinozaki, Manabu Okumura, Yue Zhang:
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. - Xiongjun Zhang, Michael K. Ng:
Sparse Nonnegative Tucker Decomposition and Completion under Noisy Observations. - Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. - Hongkun Liu, Zican Hu, Qichen Ding, Xueyun Chen:
IDAN: Image Difference Attention Network for Change Detection. - Himanshu Kumar, Abeer Banerjee, Sumeet Saurav, Sanjay Singh:
ParaColorizer: Realistic Image Colorization using Parallel Generative Networks. - Raz Lapid, Zvika Haramaty, Moshe Sipper:
Attackar: Attack of the Evolutionary Adversary. - Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. - Lukas Schmid, Mansoor Nasir Cheema, Victor Reijgwart, Roland Siegwart, Federico Tombari, César Cadena:
Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning. - Rindo Nakanishi, Yoshiaki Takata, Hiroyuki Seki:
Active Learning for Deterministic Bottom-up Nominal Tree Automata. - Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Qinghua Zheng, Minnan Luo:
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency. - Jungho Ahn, Seonghyuk Im, Sang-il Oum:
The proper conflict-free $k$-coloring problem and the odd $k$-coloring problem are NP-complete on bipartite graphs. - Haoran Pan, Jun Zhou, Yuanpeng Liu, Xuequan Lu, Weiming Wang, Xuefeng Yan, Mingqiang Wei:
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation. - Yinghui Xing, Qirui Wu, De Cheng, Shizhou Zhang, Guoqiang Liang, Yanning Zhang:
Class-Aware Visual Prompt Tuning for Vision-Language Pre-Trained Model. - Yulin Shao, Deniz Gündüz:
Semantic Communications with Discrete-time Analog Transmission: A PAPR Perspective. - Zachary Kenton, Ramana Kumar, Sebastian Farquhar, Jonathan Richens, Matt MacDermott, Tom Everitt:
Discovering Agents. - Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu:
Open Long-Tailed Recognition in a Dynamic World. - Yubing Cui, Viswanath Nagarajan:
Minimum Cost Adaptive Submodular Cover. - Ruowei Xing, Shengchen Li:
Extract fundamental frequency based on CNN combined with PYIN. - Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao:
Ask Question First for Enhancing Lifelong Language Learning. - Nick Vannieuwenhoven:
The condition number of singular subspaces. - John Harlim, Shixiao Willing Jiang, John Wilson Peoples:
Radial basis approximation of tensor fields on manifolds: From operator estimation to manifold learning. - Xinyi Yi, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao:
Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method. - Ruben Grandia, Fabian Jenelten, Shaohui Yang, Farbod Farshidian, Marco Hutter:
Perceptive Locomotion through Nonlinear Model Predictive Control. - Pradyumna Tambwekar, Nathan Vaska, Lakshita Dodeja, Matthew C. Gombolay:
Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play. - Michael I. Miller, Alain Trouvé, Laurent Younes:
Image Varifolds on Meshes for Mapping Spatial Transcriptomics. - Sreeraj Ramachandran, Ajita Rattani:
Deep Generative Views to Mitigate Gender Classification Bias Across Gender-Race Groups. - Ali Tevfik Buyukkocak, Derya Aksaray:
Temporal Relaxation of Signal Temporal Logic Specifications for Resilient Control Synthesis. - Oleg V. Vasilyev, John Bohannon:
Neural Embeddings for Text. - Manu Joseph, Varchita Lalwani:
LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction. - M. Rasel Mahmud, Michael Stewart, Alberto Cordova, John Quarles:
Auditory Feedback to Make Walking in Virtual Reality More Accessible. - Natalia Dobrokhotova-Maikova, Alexander Kozachinskiy, Vladimir V. Podolskii:
Constant-Depth Sorting Networks. - Shahram Ghandeharizadeh, Luis Garcia:
Safety in the Emerging Holodeck Applications. - Amit Sharma, Hua Li, Jian Jiao:
The Counterfactual-Shapley Value: Attributing Change in System Metrics. - Jörg Nick:
Numerical analysis for electromagnetic scattering from nonlinear boundary conditions. - Baoru Huang, Jian-Qing Zheng, Anh Nguyen, Chi Xu, Ioannis Gkouzionis, Kunal Vyas, David Tuch, Stamatia Giannarou, Daniel S. Elson:
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency. - Yanjun Gao, Dmitriy Dligach, Timothy A. Miller, Dongfang Xu, Matthew M. Churpek, Majid Afshar:
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. - Ismael Boureima, Manish Bhattarai, Maksim Ekin Eren, Nick Solovyev, Hristo N. Djidjev, Boian S. Alexandrov:
Distributed Out-of-Memory SVD on CPU/GPU Architectures. - Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. - Zhuqing Liu, Xin Zhang, Jia Liu:
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters. - Mo Houtti, Isaac L. Johnson, Joel Cepeda, Soumya Khandelwal, Aviral Bhatnagar, Loren Terveen:
"We Need a Woman in Music": Exploring Wikipedia's Values on Article Priority. - Simon Kassing, Vojislav Dukic, Ce Zhang, Ankit Singla:
New primitives for bounded degradation in network service. - Anastasis Georgiou, Furqan Tahir, Imad M. Jaimoukha, Simos A. Evangelou:
Computationally Efficient Robust Model Predictive Control for Uncertain System Using Causal State-Feedback Parameterization. - Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam:
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System. - Yunzhong Hou, Stephen Gould, Liang Zheng:
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation. - Yunzhong Hou, Liang Zheng, Stephen Gould:
Learning to Structure an Image with Few Colors and Beyond. - Zhi Li, Soshi Shimada, Bernt Schiele, Christian Theobalt, Vladislav Golyanik:
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes. - Zhengding Luo, Dong-Yuan Shi, Woon-Seng Gan:
Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks. - Chang Yue, Niraj K. Jha:
CTRL: Clustering Training Losses for Label Error Detection. - Rosina Kharal, Trevor Brown:
Performance Anomalies in Concurrent Data Structure Microbenchmarks. - Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, Yi Fang:
Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision. - Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun:
Nearly Optimal Latent State Decoding in Block MDPs. - Jiasheng Li, Zeyu Yan, Ebrima Jarjue, Ashrith Shetty, Huaishu Peng:
TangibleGrid: Tangible Web Layout Design for Blind Users. - Gunnar Kudrjavets, Jeff Thomas, Aditya Kumar, Nachiappan Nagappan, Ayushi Rastogi:
When malloc() Never Returns NULL - Reliability as an Illusion. - Tong Wu, Anna Scaglione, Daniel Arnold:
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI. - Thushari Atapattu, Mahen Herath, Charitha Elvitigala, Piyanjali de Zoysa, Kasun Gunawardana, Menasha Thilakaratne, Kasun De Zoysa, Katrina Falkner:
EmoMent: An Emotion Annotated Mental Health Corpus from two South Asian Countries. - Newsha Ardalani, Carole-Jean Wu, Zeliang Chen, Bhargav Bhushanam, Adnan Aziz:
Understanding Scaling Laws for Recommendation Models. - Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu:
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. - Anup Sathya, Jiasheng Li, Tauhidur Rahman, Ge Gao, Huaishu Peng:
Calico: Relocatable On-cloth Wearables with Fast, Reliable, and Precise Locomotion. - Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, John P. Collomosse:
Text-to-Image Generation via Implicit Visual Guidance and Hypernetwork. - Simon Göppel, Jürgen Frikel, Markus Haltmeier:
Translation invariant diagonal frame decomposition of inverse problems and their regularization. - Zeyu Yan, Anup Sathya, Sahra Yusuf, Jyh-Ming Lien, Huaishu Peng:
Fibercuit: Prototyping High-Resolution Flexible and Kirigami Circuits with a Fiber Laser Engraver. - Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino:
Learning with Local Gradients at the Edge. - Ashkan Ebadi, Alain Auger, Yvan Gauthier:
On the evolution of research in hypersonics: application of natural language processing and machine learning. - Goutham Rajendran, Wei Zou:
Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition. - Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij:
Visual Cross-View Metric Localization with Dense Uncertainty Estimates. - Nidia Obscura Acosta, Alexandru I. Tomescu:
Simplicity in Eulerian Circuits: Uniqueness and Safety. - Yisroel Mirsky:
DF-Captcha: A Deepfake Captcha for Preventing Fake Calls. - Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis:
Survey of Methods for Solving Systems of Nonlinear Equations, Part I: Root-finding Approaches. - Ilias S. Kotsireas, Panos M. Pardalos, Alexander Semenov, William T. Trevena, Michael N. Vrahatis:
Survey of Methods for Solving Systems of Nonlinear Equations, Part II: Optimization Based Approaches. - Frits de Prenter, Clemens Verhoosel, Harald van Brummelen, Mats G. Larson, Santiago Badia:
Stability and conditioning of immersed finite element methods: analysis and remedies. - Albert Cheu, Chao Yan:
Necessary Conditions in Multi-Server Differential Privacy. - Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio:
A Framework for Understanding and Visualizing Strategies of RL Agents. - Lilas Alrahis, Satwik Patnaik, Muhammad Shafique, Ozgur Sinanoglu:
Embracing Graph Neural Networks for Hardware Security (Invited Paper). - Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh:
Restructurable Activation Networks. - Erik Peterson, Alexander Lavin:
Physical Computing for Materials Acceleration Platforms. - Tong Zhou, Shaolei Ren, Xiaolin Xu:
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach. - Chun-Hao Liu, Burhaneddin Yaman:
Object Detection for Autonomous Dozers. - Li Xu, Cuiling Fan, Dongchun Han:
Near-MDS Codes from Maximal Arcs in PG$(2, q)$. - Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler:
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation. - Ted Tao Yuan, Zezhong Zhang:
Merchandise Recommendation for Retail Events with Word Embedding Weighted Tf-idf and Dynamic Query Expansion. - Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. - Li Zhao, Chen-Song Zhang, Chunsheng Feng, Shi Shu:
An Improved Multi-Stage Preconditioner on GPUs for Compositional Reservoir Simulation. - Hongming Luo, Fei Zhou, Kin-Man Lam, Guoping Qiu:
Restoration of User Videos Shared on Social Media. - Lianyu Hu, Shenglan Liu, Wei Feng:
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition. - Yiming Chen, Guohao Dai, Mufeng Zhou, Mingyen Lee, Nagadastagiri Challapalle, Guodong Yin, Zekun Yang, Yongpan Liu, Huazhong Yang, Vijaykrishnan Narayanan, Xueqing Li:
GRAPHIC: GatheR-And-Process in Highly parallel with In-SSD Compression Architecture in Very Large-Scale Graph. - Sila Lertbanjongngam, Bodin Chinthanet, Takashi Ishio, Raula Gaikovina Kula, Pattara Leelaprute, Bundit Manaskasemsak, Arnon Rungsawang, Kenichi Matsumoto:
An Empirical Evaluation of Competitive Programming AI: A Case Study of AlphaCode. - Ran Gu, Jingyang Zhang, Guotai Wang, Wenhui Lei, Tao Song, Xiaofan Zhang, Kang Li, Shaoting Zhang:
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures. - Jianhang Zhu, Rongpeng Li, Guoru Ding, Chan Wang, Jianjun Wu, Zhifeng Zhao, Honggang Zhang:
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching. - Xiujun Shu, Wei Wen, Haoqian Wu, Keyu Chen, Yiran Song, Ruizhi Qiao, Bo Ren, Xiao Wang:
See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval. - Adrien Benamira, Thomas Peyrin, Bryan Hooi Kuen-Yew:
Truth-Table Net: A New Convolutional Architecture Encodable By Design Into SAT Formulas. - Jinxin Ding, Yuxin Huang, Keyang Ni, Xueyao Wang, Yinxiao Wang, Yucheng Wang:
Intellectual Property Evaluation Utilizing Machine Learning. - Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. - Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura:
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch. - Siyu Li, Milos Zefran, Igor Paprotny:
Group-based control of large-scale micro-robot swarms with on-board Physical Finite-State Machines. - Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He:
Hybrid Learning with New Value Function for the Maximum Common Subgraph Problem. - Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng:
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. - Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang:
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling. - Dominykas Seputis, Jevgenij Gamper, Remigijus Paulavicius:
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data. - Yuanpeng Tu:
Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID. - Seth Lazar:
Legitimacy, Authority, and the Political Value of Explanations. - Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang:
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation. - Jianming Liang, Guanglu Song, Biao Leng, Yu Liu:
Unifying Visual Perception by Dispersible Points Learning. - Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim:
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization. - Yifei Zong, QiZhi He, Alexandre M. Tartakovsky:
Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions. - Yichen Peng, Chunqi Zhao, Haoran Xie, Tsukasa Fukusato, Kazunori Miyata, Takeo Igarashi:
DualMotion: Global-to-Local Casual Motion Design for Character Animations. - Puspraj Singh Chauhan, Sandeep Kumar, Imran Shafique Ansari:
On the Integral and Derivative Identities of Bivariate Fox H-Function: Application in Wireless System Performance Analysis. - Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu:
A Tree-structured Transformer for Program Representation Learning. - Marco Omainska, Junya Yamauchi, Masayuki Fujita:
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories. - Johan Engström, Shu-Yuan Liu, Azadeh DinparastDjadid, Camelia Simoiu:
Modeling road user response timing in naturalistic settings: a surprise-based framework. - Jiamo Jiang, Mingfeng Xu, Zhongyuan Zhao, Kaifeng Han, Yang Li, Ying Du, Zhiqin Wang:
Rethinking the Performance of ISAC System: From Efficiency and Utility Perspectives. - Nicholas I-Hsien Kuo, Louisa Jorm, Sebastiano Barbieri:
Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV. - Bin Ji, Hao Xu, Jie Yu, Shasha Li, Jun Ma, Yuke Ji, Huijun Liu:
A Two-Phase Paradigm for Joint Entity-Relation Extraction. - Yifan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. - Wenqiang Ruan, Mingxin Xu, Wenjing Fang, Li Wang, Lei Wang, Weili Han:
Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy. - Bahjat Kawar, Roy Ganz, Michael Elad:
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance. - George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden:
On an Application of Generative Adversarial Networks on Remaining Lifetime Estimation. - Nan Ming, Yi Feng, Rui Fan:
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming. - Siddharth Barman, Pooja Kulkarni:
Approximation Algorithms for Envy-Free Cake Division with Connected Pieces. - Oleksandra Klymenko, Oleksandr Kosenkov, Stephen Meisenbacher, Parisa Elahidoost, Daniel Méndez, Florian Matthes:
Understanding the Implementation of Technical Measures in the Process of Data Privacy Compliance: A Qualitative Study. - Fatma Raissi, Mandimby Nirina Ranaivo Rakotondravelona, Marwane El-Bekri, Djibrilla Amadou Kountché, Abdessalem Kheder, Tidjani Mahamat Brahim, Sarra Naifar, Eric Barrieres:
On the implementation of an ETSI MEC using open source solutions. - Debmita Bandyopadhyay, Subhadip Mukherjee:
Tree species classification from hyperspectral data using graph-regularized neural networks. - Hung-Jui Wang, Yu-Yu Wu, Shang-Tse Chen:
Enhancing Targeted Attack Transferability via Diversified Weight Pruning. - Yun Luo, Fang Guo, Zihan Liu, Yue Zhang:
Mere Contrastive Learning for Cross-Domain Sentiment Analysis. - Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang:
Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization. - Andrea Cangiani, Zhaonan Dong, Emmanuil H. Georgoulis:
A posteriori error estimates for discontinuous Galerkin methods on polygonal and polyhedral meshes. - Andreas Schimpe, Domagoj Majstorovic, Frank Diermeyer:
Steering Action-aware Adaptive Cruise Control for Teleoperated Driving. - Stefan Kutschera:
Incidental Data: Observation of Privacy Compromising Data on Social Media Platforms. - Anna Belardinelli, Anirudh Reddy Kondapally, Dirk Ruiken, Daniel Tanneberg, Tomoki Watabe:
Intention estimation from gaze and motion features for human-robot shared-control object manipulation. - Abhijitt Dhavlle:
Reverse Engineering of Integrated Circuits: Tools and Techniques. - Pai Liu, Wenyang Gao, Wenjie Dong, Songfang Huang, Yue Zhang:
Open Information Extraction from 2007 to 2022 - A Survey. - Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. - Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay, Arijit Mondal, Partha Pratim Chakrabarti:
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries. - Peter Davies:
Improved Distributed Algorithms for the Lovász Local Lemma and Edge Coloring. - Marco Pasini, Jan Schlüter:
Musika! Fast Infinite Waveform Music Generation. - Qianxiao Li, Ting Lin, Zuowei Shen:
Deep Neural Network Approximation of Invariant Functions through Dynamical Systems. - Johannes Blum, Sabine Storandt:
Customizable Hub Labeling: Properties and Algorithms. - Sourav Deb, Isha Kikani, Manish K. Gupta:
On the Classification of Codes over Non-Unital Ring of Order 4. - Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee:
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training. - Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt:
Learning Generative Models for Active Inference using Tensor Networks. - Xiuzhan Guo, Arthur Berrill, Ajinkya Kulkarni, Kostya Belezko, Min Luo:
Merging Ontologies Algebraically. - Varun Hiremath, José E. Román:
Acoustic modal analysis with heat release fluctuations using nonlinear eigensolvers. - Yuval Emek, Yuval Gil, Shay Kutten:
Locally Restricted Proof Labeling Schemes (Full Version). - Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. - Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang:
Disentangled Contrastive Learning for Social Recommendation. - Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu:
Neural Capture of Animatable 3D Human from Monocular Video. - Manfred Eppe, Christian Gumbsch, Matthias Kerzel, Phuong D. H. Nguyen, Martin V. Butz, Stefan Wermter:
Intelligent problem-solving as integrated hierarchical reinforcement learning. - Tomoaki Kobayashi, Oleg Kiselyov:
Complete Stream Fusion for Software-Defined Radio. - Siddharth Mehrotra, Saurav Das, Sourabh Zanwar:
Action Bar Adaptations for One-Handed Use of Smartphones. - Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia:
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection. - Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Xiaoxiao Li, Ghassan Hamarneh:
Transcending XAI Algorithm Boundaries through End-User-Inspired Design. - Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao:
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. - Daolang Huang, Louis Filstroff, Petrus Mikkola, Runkai Zheng, Samuel Kaski:
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge. - Muhammad Azeem Akbar, Sajjad Mahmood, Arif Ali Khan:
Successful Management of Cloud Based Global Software Development Projects: A Multivocal Study. - Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao:
Global Convergence of Two-timescale Actor-Critic for Solving Linear Quadratic Regulator. - Mariya Shmalko, Alsharif Abuadbba, Raj Gaire, Tingmin Wu, Hye-Young Paik, Surya Nepal:
Profiler: Profile-Based Model to Detect Phishing Emails. - Xia Zeng, Arkaitz Zubiaga:
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training. - Nuo Chen, Chenyu You:
Exploring and Exploiting Multi-Granularity Representations for Machine Reading Comprehension. - Qinying Wang, Shouling Ji, Yuan Tian, Xuhong Zhang, Binbin Zhao, Yuhong Kan, Zhaowei Lin, Changting Lin, Shuiguang Deng, Alex X. Liu, Raheem Beyah:
MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols. - Mohammad Soleymani, Ignacio Santamaría, Eduard A. Jorswieck:
Rate Splitting in MIMO RIS-assisted Systems with Hardware Impairments and Improper Signaling. - Charles Welch, Joan Plepi, Béla Neuendorf, Lucie Flek:
Understanding Interpersonal Conflict Types and their Impact on Perception Classification. - Benjamin Doerr, Zhongdi Qu:
The First Mathematical Proof That Crossover Gives Super-Constant Performance Gains For the NSGA-II. - Ms. Megha Rani R, Roshan R. Acharya, Ramkishan, Ranjith K, Rakshith Ay Gowda:
Blockchain based digital vaccine passport. - Gary Cleland, Di Wu, Rehmat Ullah, Blesson Varghese:
FedComm: Understanding Communication Protocols for Edge-based Federated Learning. - Tommie Kerssies, Joaquin Vanschoren, Mert Kiliçkaya:
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts. - Ahmet Serdar Karadeniz, Sk Aziz Ali, Anis Kacem, Elona Dupont, Djamila Aouada:
TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. - Augusto Modanese, Thomas Worsch:
Embedding arbitrary Boolean circuits into fungal automata. - Oren Shrout, Yizhak Ben-Shabat, Ayellet Tal:
GraVoS: Gradient based Voxel Selection for 3D Detection. - Marius Appel:
Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions. - Georgios Amanatidis, Haris Aziz, Georgios Birmpas, Aris Filos-Ratsikas, Bo Li, Hervé Moulin, Alexandros A. Voudouris, Xiaowei Wu:
Fair Division of Indivisible Goods: A Survey. - Nabil Anan Orka, Sheikh Samit Muhaimin, Md. Nazmush Shakib Shahi, Ashik Ahmed:
An Enhanced Gradient Based Optimized Controller for Load Frequency Control of a Two Area Automatic Generation Control System. - Linhao Qu, Siyu Liu, Xiaoyu Liu, Manning Wang, Zhijian Song:
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis. - Satyam Kumar, Mendhikar Vishal, Vadlamani Ravi:
Explainable Reinforcement Learning on Financial Stock Trading using SHAP. - Jingtao Li, Jian Zhou, Yan Xiong, Xing Chen, Chaitali Chakrabarti:
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data. - Sebastian Stern, Cong Ling, Robert F. H. Fischer:
Algorithms and Bounds for Complex and Quaternionic Lattices With Application to MIMO Transmission. - Yun Luo, Zihan Liu, Yuefeng Shi, Yue Zhang:
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. - Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman:
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. - Mahdi Hejrati:
Neuro-Adaptive Boundary Force Control of Dual One-Link Flexible Arms with Unmodeled Dynamics and Input Constraints. - Joel D. Day, Adrian Kröger, Mitja Kulczynski, Florin Manea, Dirk Nowotka, Danny Bøgsted Poulsen:
A Generic Information Extraction System for String Constraints. - Stefan Thalhammer, Timothy Patten, Markus Vincze:
COPE: End-to-end trainable Constant Runtime Object Pose Estimation. - Jae-Hun So, Jérôme Szewczyk, Brahim Tamadazte:
Automatic laser steering for middle ear surgery. - Annika Mütze, Matthias Rottmann, Hanno Gottschalk:
Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss. - Shentong Mo, Zhun Sun, Chao Li:
Siamese Prototypical Contrastive Learning. - Jiawei Li, Ru Zhang, Jianyi Liu, Gongshen Liu:
LogKernel A Threat Hunting Approach Based on Behaviour Provenance Graph and Graph Kernel Clustering. - P. Prakash Maria Liju:
Algorithm to derive shortest edit script using Levenshtein distance algorithm. - Qiaohua Zhou, Rui Cao:
A Coarse-to-Fine Approach for Urban Land Use Mapping Based on Multisource Geospatial Data. - Arthur K. Barnes, Sarbajit Basu, Adam Mate:
Dynamic State Estimation-Based Protection for Induction Motor Loads. - Chuanming Tang, Xiao Wang, Yuanchao Bai, Zhe Wu, Jianlin Zhang, Yongmei Huang:
Learning Spatial-Frequency Transformer for Visual Object Tracking. - Olivia Wiles, Isabela Albuquerque, Sven Gowal:
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning. - Xuanyang Zhang, Yonggang Li, Xiangyu Zhang, Yongtao Wang, Jian Sun:
Differentiable Architecture Search with Random Features. - Aline Sindel, Andreas K. Maier, Vincent Christlein:
A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet. - Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy:
Mind the Gap in Distilling StyleGANs. - Nikita Shanin, Amelie Hagelauer, Laura Cottatellucci, Robert Schober:
Optimal Energy Signal Design for Multi-user MISO WPCNs With Non-linear Energy Harvesting Circuits. - Wenyi Shi, Shuqin Pang, Wenyi Zhang:
Linear shrinkage receiver for slow fading channels under imperfect channel state information. - Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang:
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. - Sebastian Neef, Nils Wisiol:
Oh SSH-it, what's my fingerprint? A Large-Scale Analysis of SSH Host Key Fingerprint Verification Records in the DNS. - Minseok Kim, Jinoh Oh, Jaeyoung Do, Sungjin Lee:
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems. - Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung, Hubert P. H. Shum:
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction. - Naruya Kondo, So Kuroki, Ryosuke Hyakuta, Yutaka Matsuo, Shixiang Shane Gu, Yoichi Ochiai:
Deep Billboards towards Lossless Real2Sim in Virtual Reality. - Ryogo Yamamoto, Kanji Tanaka:
Compressive Self-localization Using Relative Attribute Embedding. - Leo Pauly, Michele Lynn Jamrozik, Miguel Ortiz del Castillo, Olivia Borgue, Inder Pal Singh, Mohatashem Reyaz Makhdoomi, Olga-Orsalia Christidi-Loumpasefski, Vincent Gaudillière, Carol Martínez, Arunkumar Rathinam, Andreas Hein, Miguel A. Olivares-Méndez, Djamila Aouada:
Lessons from a Space Lab - An Image Acquisition Perspective. - Ariane Hanebeck, Claudia Czado:
On the Observability of Gaussian Models using Discrete Density Approximations. - Udayan Banerjee, Bhabani Shankar Dey, Indra Narayan Kar, Subir Kumar Saha:
Robust Artificial Delay based Impedance Control of Robotic Manipulators with Uncertain Dynamics. - Domagoj Majstorovic, Simon Hoffmann, Florian Pfab, Andreas Schimpe, Maria-Magdalena Wolf, Frank Diermeyer:
Survey on Teleoperation Concepts for Automated Vehicles. - Zhengyang Zhou, Yang Kuo, Wei Sun, Binwu Wang, Min Zhou, Yunan Zong, Yang Wang:
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics. - Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov:
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. - Alejandro Martin-Gomez, Haowei Li, Tianyu Song, Sheng Yang, Guangzhi Wang, Hui Ding, Nassir Navab, Zhe Zhao, Mehran Armand:
STTAR: Surgical Tool Tracking using off-the-shelf Augmented Reality Head-Mounted Displays. - Sebastian Scher, Simone Kopeinik, Andreas Trügler, Dominik Kowald:
Long-term dynamics of fairness: understanding the impact of data-driven targeted help on job seekers. - Tomoharu Iwata, Yoshinobu Kawahara:
Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces. - Kevin Barrera Llanga, Christian Cruz, Xavier Viteri, Dario Mendoza:
Synergistic Integration of Techniques of VC, Communication Technologies and Unities of Calculation Transportable for Generate a System Embedded That Monitors Pyroclastic Flows in Real Time. - Gagandeep Singh:
Designing, Modeling, and Optimizing Data-Intensive Computing Systems. - Heming Yang, Ke Yang, Erhan Zhang:
Brand Celebrity Matching Model Based on Natural Language Processing. - Le-Anh Tran, Henock M. Deberneh, Truong-Dong Do, Thanh-Dat Nguyen, My-Ha Le, Dong-Chul Park:
POCS-based Clustering Algorithm. - Mohammadreza Sabzehali, Somayeh Davoodabadi Farahani, Amir Mosavi:
Energy-Exergy Analysis and Optimal Design of a Hydrogen Turbofan Engine. - Hao-Wei Chen, Ting-Hsuan Liao, Hsuan-Kung Yang, Chun-Yi Lee:
Pixel-Wise Prediction based Visual Odometry via Uncertainty Estimation. - Zongrui Li, Qian Zheng, Feishi Wang, Boxin Shi, Gang Pan, Xudong Jiang:
NeIF: Representing General Reflectance as Neural Intrinsics Fields for Uncalibrated Photometric Stereo. - Mohit Vaishnav, Thomas Fel, Ivan Felipe Rodríguez, Thomas Serre:
Conviformers: Convolutionally guided Vision Transformer. - Christian Gerloff, Kerstin Konrad, Jana Kruppa, Martin Schulte-Rüther, Vanessa Reindl:
Autism spectrum disorder classification based on interpersonal neural synchrony: Can classification be improved by dyadic neural biomarkers using unsupervised graph representation learning? - George Boateng, Xiangyu Zhao, Malgorzata Speichert, Elgar Fleisch, Janina Lüscher, Theresa Pauly, Urte Scholz, Guy Bodenmann, Tobias Kowatsch:
"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data. - Jaroslav Olha, Terézia Slanináková, Martin Gendiar, Matej Antol, Vlastislav Dohnal:
Learned Indexing in Proteins: Substituting Complex Distance Calculations with Embedding and Clustering Techniques. - Matteo Zambra, Dorian Cazau, Nicolas Farrugia, Alexandre Gensse, Sara Pensieri, Roberto Bozzano, Ronan Fablet:
Learning-based estimation of in-situ wind speed from underwater acoustics. - Ian Pratt-Hartmann:
Walking on Words. - Zangwei Zheng, Xiangyu Yue, Kai Wang, Yang You:
Prompt Vision Transformer for Domain Generalization. - Panagiotis Charalampopoulos, Tomasz Kociumaka, Jakub Radoszewski, Solon P. Pissis, Wojciech Rytter, Tomasz Walen, Wiktor Zuba:
Approximate Circular Pattern Matching. - Biruk Asmare Muse, Kawser Wazed Nafi, Foutse Khomh, Giuliano Antoniol:
Data-access performance anti-patterns in data-intensive systems. - Ben Chugg, Nicolas Rothbacher, Alex Feng, Xiaoqi Long, Daniel E. Ho:
Detecting Environmental Violations with Satellite Imagery in Near Real Time: Land Application under the Clean Water Act. - Giorgos Prionistis, Costas D. Vournas:
Using Active Distribution Network Flexibility to Increase Transmission System Voltage Stability Margins. - Hongyu Zhou, Vasileios Tzoumas:
Safe Perception-Based Control with Minimal Worst-Case Dynamic Regret. - Janis Postels, Martin Danelljan, Luc Van Gool, Federico Tombari:
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows. - Soumen Pachal, Avinash Achar:
Sequence Prediction Under Missing Data : An RNN Approach Without Imputation. - Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. - Sean MacAvaney, Nicola Tonellotto, Craig Macdonald:
Adaptive Re-Ranking with a Corpus Graph. - Peter Fettke, Alexander Rombach:
Towards Automated Process Planning and Mining. - Jezabel Molina-Gil, Pino Caballero-Gil, Cándido Caballero-Gil:
Aggregation and probabilistic verification for data authentication in VANETs. - Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang:
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. - Spyridon Chapaloglou, Erick Fernando Alves, Vincenzo Trovato, Elisabetta Tedeschi:
Optimal Energy Management in Autonomous Power Systems with Probabilistic Security Constraints and Adaptive Frequency Control. - Qinghua Zhao, Shuai Ma, Yuxuan Lei:
Ered: Enhanced Text Representations with Entities and Descriptions. - Annika Bidner, Julia Lindberg, Olof Lindman, Kinga Skorupska:
Deploying Enhanced Speech Feature Decreased Audio Complaints at SVT Play VOD Service. - Richard Li, Carlos Esteves, Ameesh Makadia, Pulkit Agrawal:
Stable Object Reorientation using Contact Plane Registration. - Zhi-Qi Cheng, Qi Dai, Siyao Li, Teruko Mitamura, Alexander Hauptmann:
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention Refinement. - Emmanuel Deruty, Maarten Grachten:
"Melatonin": A Case Study on AI-induced Musical Style. - Andreas Dedner, Alice Hodson:
A framework for implementing general virtual element spaces. - Pierre-Olivier Côté, Amin Nikanjam, Rached Bouchoucha, Foutse Khomh:
Quality issues in Machine Learning Software Systems. - Martina Paccini, Giuseppe Patanè, Michela Spagnuolo:
3D Anatomical Representations and Analysis: an Application to the Spine. - Zheng Ding, Jieke Wang, Zhuowen Tu:
Open-Vocabulary Panoptic Segmentation with MaskCLIP. - Chris Rockwell, Justin Johnson, David F. Fouhey:
The 8-Point Algorithm as an Inductive Bias for Relative Pose Prediction by ViTs. - Xupeng Ai, Victor Santamaria, Isirame Babajide Omofuma, Sunil K. Agrawal:
Evaluation of Postural Muscle Synergies during a Complex Motor Task in a Virtual Reality Environment. - Ari Biswas, Graham Cormode:
Verifiable Differential Privacy For When The Curious Become Dishonest. - Annemarie Friedrich, Nianwen Xue, Alexis Palmer:
A Kind Introduction to Lexical and Grammatical Aspect, with a Survey of Computational Approaches. - Lovish Madaan, Srinadh Bhojanapalli, Himanshu Jain, Prateek Jain:
Treeformer: Dense Gradient Trees for Efficient Attention Computation. - Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Gill, Johnny Israeli:
Improving Small Molecule Generation using Mutual Information Machine. - Eduard Eiben, Clément Rambaud, Magnus Wahlström:
On the parameterized complexity of symmetric directed multicut. - Vartika Sengar, Aditya Kapoor, Nijil George, Vighnesh Vatsal, Jayavardhana Gubbi, Balamuralidhar P, Arpan Pal:
Challenges in Applying Robotics to Retail Store Management. - Georgios Chochlakis, Tejas Srinivasan, Jesse Thomason, Shrikanth Narayanan:
VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations. - Xizhe Xue, Dongdong Yu, Lingqiao Liu, Yu Liu, Ying Li, Zehuan Yuan, Ping Song, Mike Zheng Shou:
Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization. - Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. - Nikolai Karpov, Qin Zhang:
Communication-Efficient Collaborative Best Arm Identification. - Xuewei Ma, Wenyuan Yang, Yuesheng Zhu, Zhiqiang Bai:
A Secure and Efficient Data Deduplication Scheme with Dynamic Ownership Management in Cloud Computing. - Ben Adcock, Simone Brugiapaglia:
Is Monte Carlo a bad sampling strategy for learning smooth functions in high dimensions? - Seonho Park, Pascal Van Hentenryck:
Self-Supervised Primal-Dual Learning for Constrained Optimization. - Luis Ángel Larios Cárdenas, Frédéric Gibou:
Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method. - Owen Lockwood, Mei Si:
A Review of Uncertainty for Deep Reinforcement Learning. - Ankit Goel, Dennis S. Bernstein:
On the Accuracy of the One-step UKF and the Two-step UKF. - Simon Khan, Daqing Hou:
Mouse Dynamics Behavioral Biometrics: A Survey. - Alexys Herleym Rodríguez Avellaneda, Abdollah Shafieezadeh, Alper Yilmaz:
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning. - Niels Mündler, Tobias Nipkow:
A Verified Implementation of B+-Trees in Isabelle/HOL. - Sudeep Pasricha, John Jose, Sujay Deb:
Electronic, Wireless, and Photonic Network-on-Chip Security: Challenges and Countermeasures. - Alessandra Tafuro, Bappaditya Debnath, Andrea M. Zanchettin, Amir Ghalamzan E:
dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot. - Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. - Rohan Tan Bhowmik:
A Multi-Modal Wildfire Prediction and Personalized Early-Warning System Based on a Novel Machine Learning Framework. - M. Rasel Mahmud, Michael Stewart, Alberto Cordova, John Quarles:
Standing Balance Improvement Using Vibrotactile Feedback in Virtual Reality. - Mu Cai, Yixuan Li:
Out-of-distribution Detection via Frequency-regularized Generative Models. - David Kadish, Arezoo Sarkheyli-Hägele, José María Font, Diederick C. Niehorster, Thomas Pederson:
Towards Situation Awareness and Attention Guidance in a Multiplayer Environment using Augmented Reality and Carcassonne. - Wolfgang Bangerth, Chris R. Johnson, Dennis K. Njeru, Bart G. van Bloemen Waanders:
Estimating and using information in inverse problems. - Alison B. Ma, Alexander Lerch:
Representation Learning for the Automatic Indexing of Sound Effects Libraries. - Giovanni Rosa, Simone Scalabrino, Rocco Oliveto:
Fixing Dockerfile Smells: An Empirical Study. - A. Gilad Kusne, Austin McDannald:
Scalable Multi-Agent Framework for Optimizing the Lab and Warehouse. - Yue You, Renkai Ma, Xinning Gui:
User Experience of Symptom Checkers: A Systematic Review. - Jared Markowitz, Ryan W. Gardner, Ashley J. Llorens, Raman Arora, I-Jeng Wang:
A Risk-Sensitive Approach to Policy Optimization. - Dinh Dung:
Numerical weighted integration of functions having mixed smoothness. - Fu-An Chao, Tien-Hong Lo, Tzu-I Wu, Yao-Ting Sung, Berlin Chen:
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment. - Yuxuan Han, Zhiyi Huang, Yang Wang, Rui Zhang:
Performance Analysis of OMP in Super-Resolution. - Rui Yang, Yang Li:
Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach. - Shengcheng Yu, Chunrong Fang, Yulei Liu, Ziqian Zhang, Yexiao Yun, Xin Li, Zhenyu Chen:
Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding. - Guido Cavraro, Zhenyi Yuan, Manish Kumar Singh, Jorge Cortés:
Learning Local Volt/Var Controllers Towards Efficient Network Operation with Stability Guarantees. - Xin Tan, Longyin Zhang, Guodong Zhou:
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation. - Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Victor Chen:
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian. - Luciano Dyballa, Steven W. Zucker:
IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation. - Wilfrid Azariah, Fransiscus Asisi Bimo, Chih-Wei Lin, Ray-Guang Cheng, Rittwik Jana, Navid Nikaein:
A Survey on Open Radio Access Networks: Challenges, Research Directions, and Open Source Approaches. - Guanzi Chen, Jiying Zhang, Xi Xiao, Yang Li:
GraphTTA: Test Time Adaptation on Graph Neural Networks. - Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao:
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow. - Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu:
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. - Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu:
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. - Yuncheng Wang, Xiou Ge, Bin Wang, C.-C. Jay Kuo:
GreenKGC: A Lightweight Knowledge Graph Completion Method. - Tuan Thanh Nguyen, Kui Cai, Han Mao Kiah, Kees A. Schouhamer Immink, Yeow Meng Chee:
Two dimensional RC/Subarray Constrained Codes: Bounded Weight and Almost Balanced Weight. - Anshul Nasery, Sravanti Addepalli, Praneeth Netrapalli, Prateek Jain:
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization. - Shan Jin, Minghua Xu, Riccardo Bettati, Mihai Christodorescu:
An Optimal Energy Efficient Design of Artificial Noise for Preventing Power Leakage based Side-Channel Attacks. - Pan Xie, Qipeng Zhang, Zexian Li, Hao Tang, Yao Du, Xiaohui Hu:
Vector Quantized Diffusion Model with CodeUnet for Text-to-Sign Pose Sequences Generation. - Gung-Min Gie, Youngjoon Hong, Chang-Yeol Jung:
Semi-analytic PINN methods for singularly perturbed boundary value problems. - Ziqi Xu, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, Ke Wang:
Disentangled Representation with Causal Constraints for Counterfactual Fairness. - Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Qian He, Chuanyang Hu, Errui Ding, Yu Guan, Xuming He:
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition. - Yeonhong Park, Sunhong Min, Jae W. Lee:
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching. - Pranav Nuti, Jan Vondrák:
Secretary Problems: The Power of a Single Sample. - Hoa T. Vu:
Revisiting Maximum Satisfiability and Related Problems in Data Streams. - Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Model for Causal Text Mining. - Barak Babayov, Yoram Louzoun:
IRMA: Iterative Repair for graph MAtching. - Sheheeda Manakkadu, Sourav Dutta:
ACO based Adaptive RBFN Control for Robot Manipulators. - Xiaofeng Wang, Zheng Zhu, Guan Huang, Xu Chi, Yun Ye, Ziwei Chen, Xingang Wang:
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning. - Travis Greene, Amit Dhurandhar, Galit Shmueli:
Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue. - Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Bo Tang:
Measuring Friendship Closeness: A Perspective of Social Identity Theory. - Zihan Liu:
Effective Transfer Learning for Low-Resource Natural Language Understanding. - Keong-Hun Choi, Jin Woo Kim, Yao Wang, Jong-Eun Ha:
Improved Image Classification with Token Fusion. - Bernd Gruner, Tim Sonnekalb, Thomas S. Heinze, Clemens-Alexander Brust:
Cross-Domain Evaluation of a Deep Learning-Based Type Inference System. - Tu Mai Anh Do, Loïc Pottier, Rafael Ferreira da Silva, Frédéric Suter, Silvina Caíno-Lores, Michela Taufer, Ewa Deelman:
Co-scheduling Ensembles of In Situ Workflows. - Indu Joshi, Marcel Grimmer, Christian Rathgeb, Christoph Busch, François Brémond, Antitza Dantcheva:
Synthetic Data in Human Analysis: A Survey. - Saeid Alirezazadeh, Luís A. Alexandre:
Exploration, Path Planning with Obstacle and Collision Avoidance in a Dynamic Environment. - Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen:
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. - Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo:
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation. - Soumava Paul, Aheli Saha, Abhishek Samanta:
TTT-UCDR: Test-time Training for Universal Cross-Domain Retrieval. - Petros Giannakopoulos, Aggelos Pikrakis, Yannis Cotronis:
Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning. - Valerio Luconi, Alessio Vecchio:
Impact of the First Months of War on Routing and Latency in Ukraine. - Riccardo Renzulli, Marco Grangetto:
Towards Efficient Capsule Networks. - Peixun Long, Jianjun Zhao:
Testing Quantum Programs with Multiple Subroutines. - Jinwoo Hwang, Philipp Benz, Taehoon Kim:
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention. - Mohammed Saeed, Nicolas Traub, Maelle Nicolas, Gianluca Demartini, Paolo Papotti:
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts? - Kota Srinivas Reddy, P. N. Karthik, Vincent Y. F. Tan:
Almost Cost-Free Communication in Federated Best Arm Identification. - Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee:
Demystifying Randomly Initialized Networks for Evaluating Generative Models. - Mun Seng Phoon, Philipp S. Schmitt, Georg von Wichert:
Constraint-based Task Specification and Trajectory Optimization for Sequential Manipulation. - Takayuki Osogami, Segev Wasserkrug, Elisheva S. Shamash:
Mechanism Learning for Trading Networks. - Xiaogang Peng, Yaodi Shen, Haoran Wang, Binling Nie, Yigang Wang, Zizhao Wu:
SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction. - Andrey Kuzmin, Mart van Baalen, Yuwei Ren, Markus Nagel, Jorn Peters, Tijmen Blankevoort:
FP8 Quantization: The Power of the Exponent. - Markus Glitzner, Jan-Hendrik Neudeck, Philipp Härtinger:
Shift Variance in Scene Text Detection. - Vasileios Geladaris, Panagiotis Lionakis, Ioannis G. Tollis:
Computing a Feedback Arc Set Using PageRank. - Alexander Hepp, Tiago D. Perez, Samuel Pagliarini, Georg Sigl:
A Pragmatic Methodology for Blind Hardware Trojan Insertion in Finalized Layouts. - Wei Zhang, Jason K. Wong, Xumeng Wang, Youcheng Gong, Rongchen Zhu, Kai Liu, Zihan Yan, Siwei Tan, Huamin Qu, Siming Chen, Wei Chen:
CohortVA: A Visual Analytic System for Interactive Exploration of Cohorts based on Historical Data. - Qiucheng Miao, Chuanfu Xu, Jun Zhan, Dong Zhu, Chengkun Wu:
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection. - Bogdan Kostic, Mathis Lucka, Julian Risch:
Pseudo-Labels Are All You Need. - Tze-Yang Tung, Deniz Gündüz:
Deep Joint Source-Channel and Encryption Coding: Secure Semantic Communications. - Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan:
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. - Changlin Yang, Kwan-Wu Chin, Jiguang Wang, Xiaodong Wang, Ying Liu, Zibin Zheng:
Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains. - Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Peitian Zhang, Ji-Rong Wen:
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer. - Bengt Jonsson, Magnus Lång, Konstantinos Sagonas:
Awaiting for Godot: Stateless Model Checking that Avoids Executions where Nothing Happens. - Sichao Song, Jun Baba, Junya Nakanishi, Yuichiro Yoshikawa, Hiroshi Ishiguro:
Service Robots in a Bakery Shop: A Field Study. - Gaadha Sudheerbabu, Tanwir Ahmad, Filip Sebek, Dragos Truscan, Jüri Vain, Ivan Porres:
A Two-phase Metamorphic Approach for Testing Industrial Control Systems. - Pierre Civit, Muhammad Ayaz Dzulfikar, Seth Gilbert, Vincent Gramoli, Rachid Guerraoui, Jovan Komatovic, Manuel Vidigueira:
Byzantine Consensus is Θ(n^2): The Dolev-Reischuk Bound is Tight even in Partial Synchrony! [Extended Version]. - Shaked Elias-Zada, Arik Rinberg, Idit Keidar:
Quancurrent: A Concurrent Quantiles Sketch. - Zohreh Ghaderi, Leonard Salewski, Hendrik P. A. Lensch:
Diverse Video Captioning by Adaptive Spatio-temporal Attention. - Fedor Bukreev, Stephan Simonis, Adrian Kummerländer, Julius Jeßberger, Mathias J. Krause:
Consistent lattice Boltzmann methods for the volume averaged Navier-Stokes equations. - Markus Toll, Ilja Behnke, Odej Kao:
IoTreeplay: Synchronous Distributed Traffic Replay in IoT Environments. - Maryam Fadavian, Heidar Fadavian:
A heuristic algorithm for straight-line embedding of a hamiltonian cycle onto a given set of points inside simple polygons. - Lena Boeckmann, Peter Kietzmann, Leandro Lanzieri, Thomas C. Schmidt, Matthias Wählisch:
Usable Security for an IoT OS: Integrating the Zoo of Embedded Crypto Components Below a Common API. - Gangming Zhao, Quanlong Feng, Chaoqi Chen, Zhen Zhou, Yizhou Yu:
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis. - Roopsa Sen, Sidharth Sinha, Parv Maheshwari, Animesh Jha, Debashish Chakravarty:
Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations. - Andrew Wang, Wyatt Mayor, Ryan Smith, Gopal Nookula, Gregory Ditzler:
Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks. - Zukang Liao, Pengfei Zhang, Min Chen:
Background Invariance Testing According to Semantic Proximity. - Hiba Arnaout, Simon Razniewski, Gerhard Weikum, Jeff Z. Pan:
UnCommonSense: Informative Negative Knowledge about Everyday Concepts. - Chunyu Sui, Xinrui Li, Yinghang Song, Chen Wu, Ziyang Zhang:
Applying Back Propagation Algorithm and Analytic Hierarchy Process to Environment Assessment. - Rebecca M. C. Taylor, Johan A. du Preez:
SimLDA: A tool for topic model evaluation. - William T. Ng, K. Siu, Albert C. Cheung, Michael Kwok-Po Ng:
Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer. - E. Clerkin, P.-N. Kramp, P.-A. Loizeau, M. Szuba:
Real and simulated CBM data interacting with an ESCAPE datalake. - Thomas Gebhart:
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel. - Átalo Romani de Oliveira, T. Matsumoto, Euclides C. Pinto Neto:
Blockchain-based traffic management for Advanced Air Mobility. - Chao Chen, Xinhao Liu, Xuchu Xu, Yiming Li, Li Ding, Ruoyu Wang, Chen Feng:
Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods. - Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych:
UKP-SQuARE v2 Explainability and Adversarial Attacks for Trustworthy QA. - Marco Faroni, Nicola Pedrocchi, Manuel Beschi:
Accelerating sampling-based optimal path planning via adaptive informed sampling. - Jianfei Ma:
Entropy Augmented Reinforcement Learning. - Hai Dang, Karim Benharrak, Florian Lehmann, Daniel Buschek:
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries. - Richard Connor:
A Ptolemaic Partitioning Mechanism. - Rangeet Bhattacharyya, Palash Dey, Swaprava Nath:
Myerson on a Network. - Kunhee Ryu, Juhoon Back:
Consensus optimization approach for distributed Kalman filtering: performance recovery of centralized filtering with proofs. - Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
Causal Intervention Improves Implicit Sentiment Analysis. - (Withdrawn) Low-light Enhancement Method Based on Attention Map Net.
- Pedro Reviriego, Elena Merino Gómez:
Text to Image Generation: Leaving no Language Behind. - Yulong Wang, Minghui Zhao, Shenghong Li, Xin Yuan, Wei Ni:
Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models. - Chirag Agarwal, Owen Queen, Himabindu Lakkaraju, Marinka Zitnik:
Evaluating Explainability for Graph Neural Networks. - Jack Storror Carter:
Positive dependence in qualitative probabilistic networks. - (Withdrawn) IPNET: Influential Prototypical Networks for Few Shot Learning.
- Gene Myers:
Merging Sorted Lists of Similar Strings. - Wei Feng, Ruochen Huang, Yun Yu, Huiting Sun, Yun Liu:
End-to-end Clinical Event Extraction from Chinese Electronic Health Record. - Abhijith Sampathkrishna:
ArUco Maker based localization and Node graph approach to mapping. - Henrik K. E. Rosenberger, Benjamin Sanderse:
Momentum-conserving ROMs for the incompressible Navier-Stokes equations. - Syver Døving Agdestein, Benjamin Sanderse:
Learning filtered discretization operators: non-intrusive versus intrusive approaches. - (Withdrawn) Practitioners Perspective on Motivators of Agile in Global Software Development.
- (Withdrawn) A Simple Differentially Private Algorithm for Global Minimum Cut.
- Ting Bai, Alexander Johansson, Karl Henrik Johansson, Jonas Mårtensson:
Approximate Dynamic Programming for Platoon Coordination under Hours-of-Service Regulations. - Na Li, Robert J. Ross:
Dialogue Policies for Confusion Mitigation in Situated HRI. - Zeev Nutov:
An $O(\sqrt{k})$-approximation algorithm for minimum power $k$ edge disjoint $st$ -paths. - Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Chen Wu, Xiujun Shu, Bo Ren:
VLMAE: Vision-Language Masked Autoencoder. - Sichun Luo, Yuanzhang Xiao, Linqi Song:
Personalized Federated Recommendation via Joint Representation Learning, User Clustering, and Model Adaptation. - Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Federated Learning with Noisy Labels. - Alex Bespalov, Dirk Praetorius, Michele Ruggeri:
Goal-oriented adaptive multilevel stochastic Galerkin FEM. - Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie S. Li, Hamid Kazemi, Furong Huang, Micah Goldblum, Jonas Geiping, Tom Goldstein:
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise. - Hongyu Zhou, Zheng Ge, Weixin Mao, Zeming Li:
PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View. - Juan Miguel Lopez Alcaraz, Nils Strodthoff:
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models. - Wenjie Yin, Hang Yin, Kim Baraka, Danica Kragic, Mårten Björkman:
Dance Style Transfer with Cross-modal Transformer. - Nika Haghtalab, Thodoris Lykouris, Sloan Nietert, Alex Wei:
Learning in Stackelberg Games with Non-myopic Agents. - Thai-Nam Hoang, Sang Truong, Chris Schmidt:
Wildfire Forecasting with Satellite Images and Deep Generative Model. - Zdravko Marinov, Alina Roitberg, David Schneider, Rainer Stiefelhagen:
ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization. - Georgios Iatropoulos, Johanni Brea, Wulfram Gerstner:
Kernel Memory Networks: A Unifying Framework for Memory Modeling. - Yufeng Huang, Zhuo Chen, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Zhen Yao, Yujie Xie, Huajun Chen:
Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph. - Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. - Saurav Agarwal, Srinivas Akella:
Line Coverage with Multiple Robots: Algorithms and Experiments. - Changzhen Li, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan:
Hierarchical Compositional Representations for Few-shot Action Recognition. - NareshKumar Gurulingan, Elahe Arani, Bahram Zonooz:
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing. - Zachary Charles, Kallista A. Bonawitz, Stanislav Chiknavaryan, Brendan McMahan, Blaise Agüera y Arcas:
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning. - Eldad Haber, Moshe Eliasof, Luis Tenorio:
Estimating a potential without the agony of the partition function. - Nitish Chandrappa, Marc Bernacki:
A level-set formulation to simulate diffusive solid/solid phase transformation in polycrystalline metallic materials - Application to austenite decomposition in steels. - Alberto Zingaro, Michele Bucelli, Ivan Fumagalli, Luca Dede', Alfio Quarteroni:
Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface Method. - Can Zheng, Yanshan Wang, Xiaowei Jia:
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes. - Soham Deshmukh, Charles Lee:
Adapting Task-Oriented Dialogue Models for Email Conversations. - Zhong Li, Matthijs van Leeuwen:
Feature Selection for Fault Detection and Prediction based on Event Log Analysis. - Han Sun, Zhaoxin Fan, Zhenbo Song, Zhicheng Wang, Kejian Wu, Jianfeng Lu:
MonoPCNS: Monocular 3D Object Detection via Point Cloud Network Simulation. - Yury Elkin, Vitaliy Kurlin:
Counterexamples expose gaps in the proof of time complexity for cover trees introduced in 2006. - Deepak Maurya, Adarsh Barik, Jean Honorio:
A Novel Plug-and-Play Approach for Adversarially Robust Generalization. - Fengjiao Ma, Rainer Kaufmann, Jaroslaw Sedzicki, Zoltán Cseresnyés, Christoph Dehio, Stephanie Hoeppener, Marc Thilo Figge, Rainer Heintzmann:
Guided-deconvolution for Correlative Light and Electron Microscopy. - Rong-Jun Qin, Fan-Ming Luo, Hong Qian, Yang Yu:
Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games. - Alkida Balliu, Sebastian Brandt, Manuela Fischer, Rustam Latypov, Yannic Maus, Dennis Olivetti, Jara Uitto:
Exponential Speedup Over Locality in MPC with Optimal Memory. - Alicia Y. Tsai, Laurent El Ghaoui:
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm. - Zack Xuereb Conti, Ruchi Choudhary, Luca Magri:
A Physics-based Domain Adaptation framework for modelling and forecasting building energy systems. - Nagabhushan Somraj, Pranali Sancheti, Rajiv Soundararajan:
Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images. - Vyas Raina, Mark J. F. Gales:
Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment. - Yuto Hoshino, Hiroki Kawakami, Hiroki Matsutani:
Communication Size Reduction of Federated Learning based on Neural ODE Model. - Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler:
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. - Pantelis Tassopoulos, Yorgos Protonotarios:
A New Outlook on the Profitability of Rogue Mining Strategies in the Bitcoin Network. - (Withdrawn) Near-optimal fitting of ellipsoids to random points.
- Agathe Lherondelle, Yash Satsangi, Fran Silavong, Shaltiel Eloul, Sean J. Moran:
Topical: Learning Repository Embeddings from Source Code using Attention. - Mikaela Irene D. Fudolig, Thayer Alshaabi, Kathryn Cramer, Christopher M. Danforth, Peter Sheridan Dodds:
Characterizing narrative time in books through fluctuations in power and danger arcs. - Pedro C. Neto, Tiago Gonçalves, João Ribeiro Pinto, Wilson Silva, Ana Filipa Sequeira, Arun Ross, Jaime S. Cardoso:
Explainable Biometrics in the Age of Deep Learning. - Nazanin Bayati Chaleshtari, Fabrizio Pastore, Arda Goknil, Lionel C. Briand:
Metamorphic Testing for Web System Security. - Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus Automation Services: Research process automation across the space-time continuum. - Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai:
Spectral Decomposition Representation for Reinforcement Learning. - Douglas R. Turnbull, Sean McQuillan, Vera Crabtree, John Hunter, Sunny Zhang:
Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services. - Ali Pourranjbar, Georges Kaddoum, Walid Saad:
Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies. - Simon Kassing, Ingo Müller, Gustavo Alonso:
Resource Allocation in Serverless Query Processing. - Bradley McDanel, Chi Phuong Huynh:
Accelerating Vision Transformer Training via a Patch Sampling Schedule. - Will Rosenbaum:
Packet Forwarding with a Locally Bursty Adversary. - Lorenzo Martinico, Aydin Abadi, Thomas Zacharias, Thomas Win:
Glass-Vault: A Generic Transparent Privacy-preserving Exposure Notification Analytics Platform. - Ali Vardasbi, Maarten de Rijke, Mostafa Dehghani:
Intersection of Parallels as an Early Stopping Criterion. - Bhaskar DasGupta, Elena Grigorescu, Tamalika Mukherjee:
On computing Ollivier-Ricci curvatures of graphs: fine-grained reductions and local algorithms. - Rohit Ranjan, Himadri Bhakta, Animesh Jha, Parv Maheshwari, Debashish Chakravarty:
[Re] Differentiable Spatial Planning using Transformers. - Huiming Xie, Jean Honorio:
Meta Learning for High-dimensional Ising Model Selection Using $\ell_1$-regularized Logistic Regression. - Jacob Nelson-Slivon, Lewis Tseng, Roberto Palmieri:
Technical Report: Asymmetric Mutual Exclusion for RDMA. - S. J. D. MacIntosh:
Generalized Projection Matrices. - Gokul Swamy, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu:
Game-Theoretic Algorithms for Conditional Moment Matching. - James R. Kirk, Robert E. Wray, Peter Lindes, John E. Laird:
Evaluating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks. - Worasait Suwannik:
Minecraft: An Engaging Platform to Learn Programming. - Scott Mueller, Judea Pearl:
Personalized Decision Making - A Conceptual Introduction. - Shichao Xu, Yikang Li, Jenhao Hsiao, Chiuman Ho, Qi Zhu:
A Dual Modality Approach For (Zero-Shot) Multi-Label Classification. - Ayush Singla, Qingyu Zhao, Daniel K. Do, Yuyin Zhou, Kilian M. Pohl, Ehsan Adeli:
Multiple Instance Neuroimage Transformer. - Ang Li, Judea Pearl:
Probabilities of Causation with Nonbinary Treatment and Effect. - Ang Li, Judea Pearl:
Unit Selection with Nonbinary Treatment and Effect. - Erik Jenner, Herke van Hoof, Adam Gleave:
Calculus on MDPs: Potential Shaping as a Gradient. - W. Shi, Y. Li, Rodrigo C. de Lamare:
Study of Novel Sparse Array Design Based on the Maximum Inter-Element Spacing Criterion. - Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang:
Real-time Short Video Recommendation on Mobile Devices. - Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang:
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19. - Yake Wei, Di Hu, Yapeng Tian, Xuelong Li:
Learning in Audio-visual Context: A Review, Analysis, and New Perspective. - Sami Alperen Akgun, Moojan Ghafurian, Mark Crowley, Kerstin Dautenhahn:
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios. - Gergely Kál Csáji, Tamás Király, Yu Yokoi:
Approximation Algorithms for Matroidal and Cardinal Generalizations of Stable Matching. - Sichun Luo, Xinyi Zhang, Yuanzhang Xiao, Linqi Song:
HySAGE: A Hybrid Static and Adaptive Graph Embedding Network for Context-Drifting Recommendations. - Victor Adewopo, Nelly Elsayed, Zag ElSayed, Murat Ozer, Ahmed Abdelgawad, Magdy A. Bayoumi:
Review on Action Recognition for Accident Detection in Smart City Transportation Systems. - Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le:
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey. - François Mazé, Faez Ahmed:
TopoDiff: A Performance and Constraint-Guided Diffusion Model for Topology Optimization. - Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang:
Transforming the Interactive Segmentation for Medical Imaging. - Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei:
The Saddle-Point Accountant for Differential Privacy. - Qingrong Cheng, Keyu Wen, Xiaodong Gu:
Vision-Language Matching for Text-to-Image Synthesis via Generative Adversarial Networks. - Vedant Sandeep Joshi, Sivanagaraja Tatinati, Yubo Wang:
Looking For A Match: Self-supervised Clustering For Automatic Doubt Matching In e-learning Platforms. - Souvik Das, Sougata Saha, Rohini K. Srihari:
Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection. - Gihyun Kim, Jong-Seok Lee:
Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks. - Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He:
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. - Hongxin Li, Xu Yang, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang:
MemoNav: Selecting Informative Memories for Visual Navigation. - The Viet Bui, Tien Mai, Patrick Jaillet:
Weighted Maximum Entropy Inverse Reinforcement Learning. - Yang Zhao, Wenqiang Xu, Xuan Lin, Jingjing Huo, Hong Chen, Zhou Zhao:
AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments. - Yongzhou Chen, Ammar Tahir, Radhika Mittal:
Controlling Congestion via In-Network Content Adaptation. - Morteza Zakeri Nasrabadi, Saeed Parsa:
An ensemble meta-estimator to predict source code testability. - Aris L. Moustakas, George C. Alexandropoulos, Mérouane Debbah:
Reconfigurable Intelligent Surfaces and Capacity Optimization: A Large System Analysis. - Gregor Gantner, Rob P. Stevenson:
Applications of a space-time FOSLS formulation for parabolic PDEs. - Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen, Yongqi Tong:
Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction. - Chenglong Wang, Jiangyan Yi, Jianhua Tao, Haiyang Sun, Xun Chen, Zhengkun Tian, Haoxin Ma, Cunhang Fan, Ruibo Fu:
Fully Automated End-to-End Fake Audio Detection. - Asif Newaz, Farhan Shahriyar Haq:
A Novel Hybrid Sampling Framework for Imbalanced Learning. - Morteza Zakeri Nasrabadi, Saeed Parsa:
Learning to predict test effectiveness. - Jiacheng Li, Yannis Katsis, Tyler Baldwin, Ho-Cheol Kim, Andrew Bartko, Julian J. McAuley, Chun-Nan Hsu:
Representing Knowledge by Spans: A Knowledge-Enhanced Model for Information Extraction. - Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. - Aymen Khaleel, Ertugrul Basar:
Phase Shift-Free Passive Beamforming for Reconfigurable Intelligent Surfaces. - Betty Lala, Srikant Manas Kala, Anmol Rastogi, Kunal Dahiya, Aya Hagishima:
Are You Comfortable Now: Deep Learning the Temporal Variation in Thermal Comfort in Winters. - Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo:
Adam Can Converge Without Any Modification on Update Rules. - Yeqi Gao, Zhao Song, Baocheng Sun:
An O(k log n) Time Fourier Set Query Algorithm. - Li Fan, Jianchang Liu:
Mobile Robot Navigation in Complex Polygonal Workspaces Using Conformal Navigation Transformations. - Tommaso Sorgente, Fabio Vicini, Stefano Berrone, Silvia Biasotti, Gianmarco Manzini, Michela Spagnuolo:
Mesh Quality Agglomeration algorithm for the Virtual Element Method applied to Discrete Fracture Networks. - Eduardo Sany Laber:
The computational complexity of some explainable clustering problems. - Xinrui Yan, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Haoxin Ma, Tao Wang, Shiming Wang, Ruibo Fu:
An Initial Investigation for Detecting Vocoder Fingerprints of Fake Audio. - Ugochukwu Orji, Chikodili Ugwuishiwu, Mathew Okoronkwo, Caroline Asogwa, Nnaemeka Ogbene:
Visual Exploratory Data Analysis of the Covid-19 Vaccination Progress in Nigeria. - Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, Yuan Liu, Yi Qin Gao:
Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction. - Aristotelis Ballas, Christos Diou:
A Domain Generalization Approach for Out-Of-Distribution 12-lead ECG Classification with Convolutional Neural Networks. - Christofer Meinecke, Estelle Guéville, David Joseph Wrisley, Stefan Jänicke:
A Visual Analytics Framework for Composing a Hierarchical Classification for Medieval Illuminations. - Elizaveta Vinogradova, Abay Artykbayev, Alisher Amanatay, Mukhamejan Karatayev, Maxim Mametkulov, Albina Li, Anuar Suleimenov, Abylay Salimzhanov, Karina Pats, Rustam Zhumagambetov, Ferdinand Molnár, Vsevolod Peshkov, Siamac Fazli:
A biologically-inspired evaluation of molecular generative machine learning. - Jiachen Zhao, Haiqin Yang:
Trigger-free Event Detection via Derangement Reading Comprehension. - Leonardo N. Ferreira:
From Time Series to Networks in R with the ts2net Package. - Ujjwal Thakur, Anuj Sharma:
Offline Handwritten Mathematical Recognition using Adversarial Learning and Transformers. - Jun Yuan, Mengchen Liu, Fengyuan Tian, Shixia Liu:
Visual Analysis of Neural Architecture Spaces for Summarizing Design Principles. - Hyeongnam Jang, Yeejin Lee, Jong-Seok Lee:
Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics. - Jiawei Liu, Jing Zhang, Kaihao Zhang, Nick Barnes:
Generalised Co-Salient Object Detection. - Yile Wang, Yue Zhang:
Lost in Context? On the Sense-wise Variance of Contextualized Word Embeddings. - Foto N. Afrati:
Safe Subjoins in Acyclic Joins. - Genoveva Vargas-Solar, Pierre Marrec, Mirian Halfeld Ferrari Alves:
Comparing graph data science libraries for querying and analysing datasets: towards data science queries on graphs. - Ali Akoglu, José-Luis Zechinelli-Martini, Hamamache Kheddouci, Genoveva Vargas-Solar:
Graph analytics workflows enactment on just in time data centres, Position Paper. - Hongliang Zhang, Boya Di:
Intelligent Omni-Surfaces: Simultaneous Refraction and Reflection for Full-dimensional Wireless Communications. - Domenic Bersch, Kshitij Dwivedi, Martina G. Vilas, Radoslaw Martin Cichy, Gemma Roig:
Net2Brain: A Toolbox to compare artificial vision models with human brain responses. - Siddartha Dalal, Sierra Vo, Michael Lesk, Wesley Yuan:
Finding Emotions in Faces: A Meta-Classifier. - Rajiv Movva, Jinhao Lei, Shayne Longpre, Ajay Gupta, Chris DuBois:
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks. - Yuheng Shi, Naiyan Wang, Xiaojie Guo:
YOLOV: Making Still Image Object Detectors Great at Video Object Detection. - Wentao Chao, Xuechun Wang, Yingqian Wang, Liang Chang, Fuqing Duan:
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation. - Denizalp Goktas, Amy Greenwald:
Gradient Descent Ascent in Min-Max Stackelberg Games. - Chowdhury Rafeed Rahman:
Judge a Sentence by Its Content to Generate Grammatical Errors. - Shingo Yashima:
Effectiveness of Function Matching in Driving Scene Recognition. - Fehmi Can Ay, Nesim Bilici, Rahmetullah Varol, Atasangu Yilmaz, Ufuk Gorkem Kirabali, Abdurrahim Yilmaz, Huseyin Uvet:
Study on the Concept and Development of a Mobile Incubator. - Ujjal Kr Dutta:
Fuse and Attend: Generalized Embedding Learning for Art and Sketches. - Tahsin Aziz, Tashreef Muhammad, Md. Rashedul Karim Chowdhury, Mohammad Shafiul Alam:
An Approach of Adjusting the Switch Probability based on Dimension Size: A Case Study for Performance Improvement of the Flower Pollination Algorithm. - S. Gupta, Giovanni Longobardi, Rocco Trombetti:
On the equivalence issue of a class of $2$-dimensional linear Maximum Rank Distance codes. - Csaba D. Tóth, Jorge Urrutia, Giovanni Viglietta:
Minimizing Visible Edges in Polyhedra. - Sixiang Chen, Tian Ye, Yun Liu, Erkang Chen, Jun Shi, Jingchun Zhou:
SnowFormer: Scale-aware Transformer via Context Interaction for Single Image Desnowing. - Yanzeng Li, Lei Zou:
gBuilder: A Scalable Knowledge Graph Construction System for Unstructured Corpus. - Zeyu Li, Ruizhi Shi, Yan Liu, Shizhuo Long, Ziheng Guo, Shichao Jia, Jiawan Zhang:
Dual Space Coupling Model Guided Overlap-Free Scatterplot. - Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. - Chowdhury Rafeed Rahman, Md. Hasibur Rahman, Samiha Zakir, Mohammad Rafsan, Mohammed Eunus Ali:
BSpell: A CNN-blended BERT Based Bengali Spell Checker. - Yuhua Yin, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak:
Improving Multilayer-Perceptron(MLP)-based Network Anomaly Detection with Birch Clustering on CICIDS-2017 Dataset. - Nikhil Goel, Ranjith Reddy Bommidi:
SemEval-2022 Task 8: Multi-lingual News Article Similarity. - Wenxuan Yu, Minghui Xu, Dongxiao Yu, Xiuzhen Cheng, Qin Hu, Zehui Xiong:
zk-PCN: A Privacy-Preserving Payment Channel Network Using zk-SNARKs. - Jianpeng Yang:
Learning Primitive-aware Discriminative Representations for FSL. - Animesh Nighojkar, Anna Khlyzova, John Licato:
Cognitive Modeling of Semantic Fluency Using Transformers. - HanQin Cai, Longxiu Huang, Pengyu Li, Deanna Needell:
Matrix Completion with Cross-Concentrated Sampling: Bridging Uniform Sampling and CUR Sampling. - Gustavo Sandoval, Hammond Pearce, Teo Nys, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg:
Security Implications of Large Language Model Code Assistants: A User Study. - Jianbo Wang, Chao Xu, Siyun Zhou:
Solving systems of linear equations through zero forcing set and application to lights out. - Gyuhak Kim, Zixuan Ke, Bing Liu:
A Multi-Head Model for Continual Learning via Out-of-Distribution Replay. - Yanyong Huang, Zongxin Shen, Yuxin Cai, Xiuwen Yi, Dongjie Wang, Fengmao Lv, Tianrui Li:
C$^{2}$IMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection. - K. R. Jayaram, Ashish Verma, Gegi Thomas, Vinod Muthusamy:
Just-in-Time Aggregation for Federated Learning. - Anomadarshi Barua, Mohammad Abdullah Al Faruque:
Sensor Security: Current Progress, Research Challenges, and Future Roadmap. - Jiaqi Jiang, Guanqun Cao, Aaron Butterworth, Thanh-Toan Do, Shan Luo:
Where Shall I Touch? Vision-Guided Tactile Poking for Transparent Object Grasping. - Ritesh Ahuja, Sepanta Zeighami, Gabriel Ghinita, Cyrus Shahabi:
A Neural Approach to Spatio-Temporal Data Release with User-Level Differential Privacy. - Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm:
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games. - Rony Bou Rouphael, Maël Le Treust:
Strategic Communication with Cost-Dependent Decoders via the Gray-Wyner Network. - Zhuowen Zhao, Tanny Chavez, Elizabeth Holman, Guanhua Hao, Adam Green, Harinarayan Krishnan, Dylan McReynolds, Ronald Pandolfi, Eric J. Roberts, Petrus H. Zwart, Howard Yanxon, Nicholas Schwarz, Subramanian Sankaranarayanan, Sergei V. Kalinin, Apurva Mehta, Stuart Campbell, Alexander Hexemer:
MLExchange: A web-based platform enabling exchangeable machine learning workflows. - Senbao Jiang, Xiaofan Li:
A Modified Trapezoidal Rule for a Class of Weakly Singular Integrals in n Dimensions. - Mahdi Morafah, Saeed Vahidian, Weijia Wang, Bill Lin:
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution. - Alceu Bissoto, Catarina Barata, Eduardo Valle, Sandra Avila:
Artifact-Based Domain Generalization of Skin Lesion Models. - Charlotte Frenkel, Giacomo Indiveri:
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales. - Mordechai Guri:
GAIROSCOPE: Injecting Data from Air-Gapped Computers to Nearby Gyroscopes. - Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. - Yohan Beugin, Quinn Burke, Blaine Hoak, Ryan Sheatsley, Eric Pauley, Gang Tan, Syed Rafiul Hussain, Patrick D. McDaniel:
Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices. - Longrui Dong, Gang Zeng:
JVLDLoc: a Joint Optimization of Visual-LiDAR Constraints and Direction Priors for Localization in Driving Scenario. - Jesin James, Isabella Shields, Vithya Yogarajan, Peter J. Keegan, Catherine I. Watson, Peter-Lucas Jones, Keoni Mahelona:
The Development of a Labelled te reo Māori-English Bilingual Database for Language Technology. - Jun Zhuang, Mohammad Al Hasan:
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation. - Ahmed S. Alahmed, Lang Tong, Qing Zhao:
Co-optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering. - Jun Yu, Shunqing Zhang, Jiayun Sun, Shugong Xu, Shan Cao:
High-Performance Transmission Mechanism Design of Multi-Stream Carrier Aggregation for 5G Non-Standalone Network. - Xuefeng Zhu, Tianyang Xu, Zhangyong Tang, Zucheng Wu, Haodong Liu, Xiao Yang, Xiaojun Wu, Josef Kittler:
RGBD1K: A Large-scale Dataset and Benchmark for RGB-D Object Tracking. - Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
FaceOff: A Video-to-Video Face Swapping System. - Shiping Shao, Farshad Harirchi, Devang Dave, Abhishek Gupta:
Preemptive Scheduling of EV Charging for Providing Demand Response Services. - Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. - Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay, Vinay P. Namboodiri, C. V. Jawahar:
Towards MOOCs for Lip Reading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale. - Nur Nasuha Daud, Siti Hafizah Ab Hamid, Chempaka Seri, Muntadher Saadoon, Nor Badrul Anuar:
Scalable link prediction in Twitter using self-configured framework. - Alan Ehret, Jacob Abraham, Mihailo Isakov, Michel A. Kinsy:
Zeno: A Scalable Capability-Based Secure Architecture. - Jiachen Sun, Weili Nie, Zhiding Yu, Z. Morley Mao, Chaowei Xiao:
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition. - Hengzhao Ma, Jianzhong Li, Xiangyu Gao, Tianpeng Gao:
Turing Machines with Two-level Memory: A Deep Look into the Input/Output Complexity. - Yan Gu, Zheqi Shen, Yihan Sun, Zijin Wan:
A Work-Efficient Parallel Algorithm for Longest Increasing Subsequence. - Hideaki Iiduka:
Critical Bach Size Minimizes Stochastic First-Order Oracle Complexity of Deep Learning Optimizer using Hyperparameters Close to One. - Xinhan Di, Pengqian Yu:
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. - Ying Gao, Qingqing Wu, Wen Chen, Derrick Wing Kwan Ng:
Rate-Splitting Multiple Access for Intelligent Reflecting Surface-Aided Secure Transmission. - Ismail Lotfi, Hongyang Du, Dusit Niyato, Sumei Sun, Dong In Kim:
On The Robustness of Channel Allocation in Joint Radar And Communication Systems: An Auction Approach. - Jianyu Yao, Boqian Shi, Chunyang Xiang, Haipeng Jia, Chendi Li, Hang Cao, Yunquan Zhang:
IAAT: A Input-Aware Adaptive Tuning framework for Small GEMM. - Yang Zhao, Peng Guo, Han Gao, Xiuwan Chen:
Depth-Assisted ResiDualGAN for Cross-Domain Aerial Images Semantic Segmentation. - Lintong Zhang, Michael Helmberger, Lanke Frank Tarimo Fu, David Wisth, Marco Camurri, Davide Scaramuzza, Maurice F. Fallon:
Hilti-Oxford Dataset: A Millimetre-Accurate Benchmark for Simultaneous Localization and Mapping. - Shuhao Zhang, Juan Soto, Volker Markl:
A Survey on Transactional Stream Processing. - Yang Liu, Zequn Sun, Guangyao Li, Wei Hu:
I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. - Peter De Roovere, Rembert Daems, Jonathan Croenen, Taoufik Bourgana, Joris de Hoog, Francis Wyffels:
CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation. - Junghun Kim, Jihie Kim:
Representation Learning with Graph Neural Networks for Speech Emotion Recognition. - Yiliang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang:
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection. - Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman:
qDWI-Morph: Motion-compensated quantitative Diffusion-Weighted MRI analysis for fetal lung maturity assessment. - Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. - Padraig X. Lamont:
Tyche: A library for probabilistic reasoning and belief modelling in Python. - Travis Gagie, Giovanni Manzini, Marinella Sciortino:
Teaching the Burrows-Wheeler Transform via the Positional Burrows-Wheeler Transform. - Haoran Wang, Dongliang He, Wenhao Wu, Boyang Xia, Min Yang, Fu Li, Yunlong Yu, Zhong Ji, Errui Ding, Jingdong Wang:
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval. - Qiong Wu, Jiaer Xia, Pingyang Dai, Yiyi Zhou, Yongjian Wu, Rongrong Ji:
CycleTrans: Learning Neutral yet Discriminative Features for Visible-Infrared Person Re-Identification. - Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. - Renzhi He, Hualin Hong, Boya Fu, Fei Liu:
Multi-task Learning for Monocular Depth and Defocus Estimations with Real Images. - Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-enhanced Image Clustering. - Giorgio Sonnino, Alberto Sonnino:
Efficient Multiparty Protocols Using Generalized Parseval's Identity and the Theta Algebra. - Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki:
Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games. - Chan Li, Haiping Huang:
Emergence of hierarchical modes from deep learning. - Saurav Agarwal, Srinivas Akella:
The Single Robot Line Coverage Problem: Theory, Algorithms and Experiments. - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. - Ryoma Sato:
Towards Principled User-side Recommender Systems. - Saurav Agarwal, Srinivas Akella:
Area Coverage with Multiple Capacity-Constrained Robots. - Xiaolu Wang, Ziqi Ding, Liangyu Chen:
Automatic tagging of knowledge points for K12 math problems. - Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomás Pajdla:
Objects Can Move: 3D Change Detection by Geometric Transformation Constistency. - Zhaodi Zhang, Yiting Wu, Si Liu, Jing Liu, Min Zhang:
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks. - Li Huang, Bertrand Meyer:
A Failed Proof Can Yield a Useful Test. - Jingyu Lin, Jie Jiang, Yan Yan, Chunchao Guo, Hongfa Wang, Wei Liu, Hanzi Wang:
DPTNet: A Dual-Path Transformer Architecture for Scene Text Detection. - Thomas Führer, Michael Karkulik:
Space-time finite element methods for parabolic distributed optimal control problems. - Zehui Lin, Ruobing Huang, Dong Ni, Jiayi Wu, Baoming Luo:
Masked Video Modeling with Correlation-aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound. - He Zhang, Ran Zhang, Tao Zhou:
Learning high dimensional stochastic partial differential equations in a predictor-corrector framework. - Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu:
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination. - Bingchen Li, Xin Li, Yiting Lu, Sen Liu, Ruoyu Feng, Zhibo Chen:
HST: Hierarchical Swin Transformer for Compressed Image Super-resolution. - Kerem Ozfatura, Emre Ozfatura, Alptekin Küpçü, Deniz Gündüz:
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning. - Shuai Su, Zhongkai Zhao, Yixin Fei, Shuda Li, Qijun Chen, Rui Fan:
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms. - Kathryn Lund:
Adaptively restarted block Krylov subspace methods with low-synchronization skeletons. - Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Zhi-Ming Ma, Tie-Yan Liu, Wei Chen:
Provable Adaptivity in Adam. - Yelleti Vivek, P. S. V. S. Sai Prasad:
Scalable mRMR feature selection to handle high dimensional datasets: Vertical partitioning based Iterative MapReduce framework. - Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He:
MentorGNN: Deriving Curriculum for Pre-Training GNNs. - Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi:
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. - Avinash Madasu, Anvesh Rao Vijjini:
A Syntax Aware BERT for Identifying Well-Formed Queries in a Curriculum Framework. - Chanwoo Park, Sangdoo Yun, Sanghyuk Chun:
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective. - Jan Jezabek, Akash Singh:
MockingBERT: A Method for Retroactively Adding Resilience to NLP Models. - Amtul Haq Ayesha, Donghao Qiao, Farhana H. Zulkernine:
A Web Application for Experimenting and Validating Remote Measurement of Vital Signs. - Sia Gholami, Saba Khashe:
Alexa, Predict My Flight Delay. - Mansoor Ali Teevno, Gilberto Ochoa-Ruiz, Sharib Ali:
A semi-supervised Teacher-Student framework for surgical tool detection and localization. - Evan D. Gorman, Manuel E. Lladser:
Sparsification of Large Ultrametric Matrices: Insights into the Microbial Tree of Life. - Jordan Aiko Deja, Sven Mayer, Klen Copic Pucihar, Matjaz Kljun:
A Survey of Augmented Piano Prototypes: Has Augmentation Improved Learning Experiences? - Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProPaLL: Probabilistic Partial Label Learning. - Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu:
Improving GANs for Long-Tailed Data through Group Spectral Regularization. - Iman Vakilinia, Weihong Wang, Jiajun Xin:
An Incentive-Compatible Mechanism for Decentralized Storage Network. - Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
Instability and Local Minima in GAN Training with Kernel Discriminators. - Liya Gaynutdinova, Martin Ladecký, Ales Nekvinda, Ivana Pultarová, Jan Zeman:
Efficient numerical method for reliable upper and lower bounds on homogenized parameters. - Cuong V. Nguyen, Daniel Nkemelu, Ankit Mehta, Michael L. Best:
Why So Inflammatory? Explainability in Automatic Detection of Inflammatory Social Media Users. - Maksim Ekin Eren, Nick Solovyev, Manish Bhattarai, Kim Ø. Rasmussen, Charles Nicholas, Boian S. Alexandrov:
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection. - Alexander Kensert, Gert Desmet, Deirdre Cabooter:
MolGraph: a Python package for the implementation of small molecular graphs and graph neural networks with TensorFlow and Keras. - Jin-Yi Cai, Ashwin Maran:
Counting Cycles on Planar Graphs in Subexponential Time. - Diego Frias:
Equalization and Brightness Mapping Modes of Color-to-Gray Projection Operators. - Atasi Panda, Anand Louis, Prajakta Nimbhorkar:
Bipartite Matchings with Group Fairness and Individual Fairness Constraints. - Michail Kalntis, George Iosifidis:
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning. - Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla:
Heterogeneous Graph Masked Autoencoders. - Yuanyuan Feng, Abhilasha Ravichander, Yaxing Yao, Shikun Zhang, Norman Sadeh:
Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision. - Przemyslaw Biecek:
Performance, Opaqueness, Consequences, and Assumptions: Simple questions for responsible planning of machine learning solutions. - Vasisht Duddu, Antoine Boutet:
Inferring Sensitive Attributes from Model Explanations. - Jeonghun J. Lee, Omar Ghattas:
Interior over-stabilized enriched Galerkin methods for second order elliptic equations. - Ardeshir Mirbakhsh, Joyoung Lee, Dejan Besenski:
Development of a CAV-based Intersection Control System and Corridor Level Impact Assessment. - Mordechai Guri:
ETHERLED: Sending Covert Morse Signals from Air-Gapped Devices via Network Card (NIC) LEDs. - Yongwei Wang, Yong Liu, Zhiqi Shen:
Revisiting Item Promotion in GNN-based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. - Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. - Guang Ping He:
Collaboration between parallel connected neural networks - A possible criterion for distinguishing artificial neural networks from natural organs. - Joël Lindegger, Damla Senol Cali, Mohammed Alser, Juan Gómez-Luna, Nika Mansouri-Ghiasi, Onur Mutlu:
Scrooge: A Fast and Memory-Frugal Genomic Sequence Aligner for CPUs, GPUs, and ASICs. - Yihong Dong, Ge Li, Zhi Jin:
Antecedent Predictions Are Dominant for Tree-Based Code Generation. - Rabab Abdelfattah, Xin Zhang, Zhenyao Wu, Xinyi Wu, Xiaofeng Wang, Song Wang:
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification. - Huijie Zhang, Anthony Opipari, Xiaotong Chen, Jiyue Zhu, Zeren Yu, Odest Chadwicke Jenkins:
TransNet: Category-Level Transparent Object Pose Estimation. - Yuki Amano:
Locally Defined Independence Systems on Graphs. - Muying Luo, Shunping Ji, Shiqing Wei:
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction. - Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla:
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. - Qilong Huang, Qing-Shan Jia, Li Yang, Xiang Wu, Xiaohong Guan:
A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station. - Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. - Cole Foster, Berk Sevilmis, Benjamin B. Kimia:
Generalized Relative Neighborhood Graph (GRNG) for Similarity Search. - Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee:
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization. - Zhize Li, Jian Li:
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization. - Jay Bishnu, Andrew Gondoputro:
Evaluating and Crafting Datasets Effective for Deep Learning With Data Maps. - Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu:
A Simple Baseline for Multi-Camera 3D Object Detection. - H. M. Imran Kays, Arif Mohaimin Sadri:
Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs. - Ryohei Urata, Hong Liu, Kevin Yasumura, Erji Mao, Jill Berger, Xiang Zhou, Cedric F. Lam, Roy Bannon, Darren Hutchinson, Daniel Nelson, Leon Poutievski, Arjun Singh, Joon Ong, Amin Vahdat:
Mission Apollo: Landing Optical Circuit Switching at Datacenter Scale. - Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu:
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning. - Lucas O. Lyra, Antonio Elias Fabris, João Batista Florindo:
Multilayer deep feature extraction for visual texture recognition. - Siteng Huang, Qiyao Wei, Donglin Wang:
Reference-Limited Compositional Zero-Shot Learning. - Liang Wang, Ying Li, Jierui Zhang, Xianping Tao:
Quantifying Community Evolution in Developer Social Networks: Proof of Indices' Properties. - Ruonan Li, Yichen Zhang, Yutao Tang, Shurong Li:
Observer-based Leader-following Consensus for Positive Multi-agent Systems Over Time-varying Graphs. - Jun Lu, Christine P. Chai:
Robust Bayesian Nonnegative Matrix Factorization with Implicit Regularizers. - JunYoung Gwak, Silvio Savarese, Jeannette Bohg:
Minkowski Tracker: A Sparse Spatio-Temporal R-CNN for Joint Object Detection and Tracking. - Luyao Niu, Zhouchi Li, Andrew Clark:
Abstraction-Free Control Synthesis to Satisfy Temporal Logic Constraints under Sensor Faults and Attacks. - Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen:
Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. - Emily McMilin:
Selection Collider Bias in Large Language Models. - Wenye Lin, Yangning Li, Yifeng Ding, Hai-Tao Zheng:
Tree-structured Auxiliary Online Knowledge Distillation. - Asrar Ahmed Baktayan, Ibrahim Ahmed Al-Baltah:
A Survey on Intelligent Computation Offloading and Pricing Strategy in UAV-Enabled MEC Network: Challenges and Research Directions. - Maxime Ferreira Da Costa, Yuejie Chi:
Local Geometry of Nonconvex Spike Deconvolution from Low-Pass Measurements. - Stephen Su, Samuel Kwong, Qingyu Zhao, De-An Huang, Juan Carlos Niebles, Ehsan Adeli:
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding. - Zhizhang Wu, Ivan G. Graham, Dingjiong Ma, Zhiwen Zhang:
A Filon-Clenshaw-Curtis-Smolyak rule for multi-dimensional oscillatory integrals with application to a UQ problem for the Helmholtz equation. - Xinyu Zuo, Haijin Liang, Ning Jing, Shuang Zeng, Zhou Fang, Yu Luo:
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing. - Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Pheng-Ann Heng:
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails. - Pia Andrews, Tim de Sousa, Bruce Haefele, Matt Beard, Marcus R. Wigan, Abhinav Palia, Kathy Reid, Saket Narayan, Morgan Dumitru, Alex Morrison, Geoffrey Mason, Aurelie Jacquet:
A Trust Framework for Government Use of Artificial Intelligence and Automated Decision Making. - Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li:
Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation. - Sruthi Gorantla, Kishen N. Gowda, Amit Deshpande, Anand Louis:
Socially Fair Center-based and Linear Subspace Clustering. - Naihao Deng, Yulong Chen, Yue Zhang:
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect. - Jonathan Fhima, Jan Van Eijgen, Moti Freiman, Ingeborg Stalmans, Joachim A. Behar:
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations. - Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid:
Model-Based Insights on the Performance, Fairness, and Stability of BBR. - Yubo Sun, Yiwei Zhang, Gennian Ge:
Improved constructions of permutation and multi-permutation codes correcting a burst of stable deletions. - Rongxin Xu, Qiujun Lan, Shiva Raj Pokhrel, Gang Li:
A Survey of Distributed Ledger Technology for IoT Verticals. - Volker Diekert, Manfred Kufleitner:
Reachability Games and Parity Games. - Xu Yan, Chunhui Ai, Ziqiang Cao, Min Cao, Sujian Li, Wenjie Chen, Guohong Fu:
Revising Image-Text Retrieval via Multi-Modal Entailment. - Seng W. Loke:
From Distributed Quantum Computing to Quantum Internet Computing: an Overview. - Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, Wei Liu:
SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization. - Fan Mo, Zahra Tarkhani, Hamed Haddadi:
SoK: Machine Learning with Confidential Computing. - Anisur Rahaman Molla, Manish Kumar, Sumathi Sivasubramaniam:
Fault-Tolerant Graph Realizations in the Congested Clique. - Michael Dikshtein, Nir Weinberger, Shlomo Shamai:
On Information Bottleneck for Gaussian Processes. - Paul Muller, Romuald Elie, Mark Rowland, Mathieu Laurière, Julien Pérolat, Sarah Perrin, Matthieu Geist, Georgios Piliouras, Olivier Pietquin, Karl Tuyls:
Learning Correlated Equilibria in Mean-Field Games. - Zhendong Yang, Zhe Li, Yuan Gong, Tianke Zhang, Shanshan Lao, Chun Yuan, Yu Li:
Rethinking Knowledge Distillation via Cross-Entropy. - Yifan Zhou, Jianghao Lin, Shuai Wang, Chong Zhang:
Learning Ball-balancing Robot Through Deep Reinforcement Learning. - Valentin Helml, Michael Innerberger, Dirk Praetorius:
Plain convergence of goal-oriented adaptive FEM. - Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, Di Huang:
STS: Surround-view Temporal Stereo for Multi-view 3D Detection. - Yuqing Wang, Xiangxian Li, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng:
Meta-Causal Feature Learning for Out-of-Distribution Generalization. - Lingbo Liu, Bruce X. B. Yu, Jianlong Chang, Qi Tian, Chang Wen Chen:
Prompt-Matched Semantic Segmentation. - Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao:
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. - Rui Wang, Xingkai Wang, Huanhuan Chen, Stjepan Picek, Zhen Liu, Kaitai Liang:
BRIEF but Powerful: Byzantine-Robust and Privacy-Preserving Federated Learning via Model Segmentation and Secure clustering. - Jae-Hyeon Park, Dong Eui Chang:
Unscented Kalman filter with stable embedding for simple, accurate and computationally efficient state estimation of systems on manifolds in Euclidean space. - Guojun He:
Exploring Task-oriented Communication in Multi-agent System: A Deep Reinforcement Learning Approach. - Kinga Skorupska, Ewa Makowska, Anna Jaskulska:
Interdisciplinary Research with Older Adults in the area of ICT: Selected Ethical Considerations and Challenges. - Merav Parter, Asaf Petruschka:
Õptimal Dual Vertex Failure Connectivity Labels. - Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang:
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation. - Yang Zhang:
Algorithms of Real-Time Navigation and Control of Autonomous Unmanned Vehicles. - Yujing Zhang, Zhangming Chan, Shuhao Xu, Weijie Bian, Shuguang Han, Hongbo Deng, Bo Zheng:
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging. - Hao Cui, János Kertész:
Competition for popularity and identification of interventions on a Chinese microblogging site. - Chang Nie, Yiqing Hu, Yanqiu Qu, Hao Liu, Deqiang Jiang, Bo Ren:
TaCo: Textual Attribute Recognition via Contrastive Learning. - Xiaobo Gao, Qi Kuang, Xin Jin, Bin Zhou, Boyan Dong, Xunyu Wang:
Aesthetics Driven Autonomous Time-Lapse Photography Generation by Virtual and Real Robots. - Soura Sena Das, Soumen Nandi, Sagnik Sen:
The oriented relative clique number of triangle-free planar graphs is 10. - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mohammad Aliannejadi, Nasim Sonboli:
Towards Confidence-aware Calibrated Recommendation. - Juliane Braunsmann, Marko Rajkovic, Martin Rumpf, Benedikt Wirth:
Learning Low Bending and Low Distortion Manifold Embeddings: Theory and Applications. - R. Núñez Queija, Balakrishna J. Prabhu, J. A. C. Resing:
Markovian queues with Poisson control. - Aaron Brunk, Herbert Egger, Oliver Habrich:
On uniqueness and stable estimation of multiple parameters in the Cahn-Hilliard equation. - Sukwon Yun, Kibum Kim, Kanghoon Yoon, Chanyoung Park:
LTE4G: Long-Tail Experts for Graph Neural Networks. - Fabien Baradel, Romain Brégier, Thibault Groueix, Philippe Weinzaepfel, Yannis Kalantidis, Grégory Rogez:
PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling. - Xiaoyue Li, Xuerong Mao, Guoting Song:
An explicit approximation for super-linear stochastic functional differential equations. - Vincent Wall, Oliver Brock:
A Virtual 2D Tactile Array for Soft Actuators Using Acoustic Sensing. - Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar, S. Balasubramanian:
Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition. - Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman:
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. - Yutao Zhu, Jian-Yun Nie, Yixuan Su, Haonan Chen, Xinyu Zhang, Zhicheng Dou:
From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking. - Jan Tönshoff, Berke Kisin, Jakob Lindner, Martin Grohe:
One Model, Any CSP: Graph Neural Networks as Fast Global Search Heuristics for Constraint Satisfaction. - Dimitar Trajanov, Vangel Trajkovski, Makedonka Dimitrieva, Jovana Dobreva, Milos Jovanovik, Matej Klemen, Ales Zagar, Marko Robnik-Sikonja:
Survey of NLP in Pharmacology: Methodology, Tasks, Resources, Knowledge, and Tools. - Alexander Unnervik, Sébastien Marcel:
An anomaly detection approach for backdoored neural networks: face recognition as a case study. - Hugo Daniel Macedo, Ken Pierce:
Proceedings of the 20th International Overture Workshop. - Dorian Florescu, Ayush Bhandari:
Time Encoding via Unlimited Sampling: Theory, Algorithms and Hardware Validation. - Muhammad Saad Saeed, Shah Nawaz, Muhammad Haris Khan, Sajid Javed, Muhammad Haroon Yousaf, Alessio Del Bue:
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association. - Weimin Lyu, Xinyu Dong, Rachel Wong, Songzhu Zheng, Kayley Abell-Hart, Fusheng Wang, Chao Chen:
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction. - Mengyang Liu, Haozheng Luo, Leonard Thong, Yinghao Li, Chao Zhang, Le Song:
SciAnnotate: A Tool for Integrating Weak Labeling Sources for Sequence Labeling. - Charles Lovering, Ellie Pavlick:
Unit Testing for Concepts in Neural Networks. - Augusto Garcia-Agundez, Carsten Eickhoff:
When BERT Fails - The Limits of EHR Classification. - Devaraju Vinoda, Pawan Kumar Yadav:
SDBERT: SparseDistilBERT, a faster and smaller BERT model. - R. V. R. Pandya:
Generalized Attention Mechanism and Relative Position for Transformer. - Oiwi Parker Jones, Brendan Shillingford:
Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text. - Nikola Lackovic, Claude Montacié, Gauthier Lalande, Marie-José Caraty:
Prediction of User Request and Complaint in Spoken Customer-Agent Conversations. - Chuyuan Li, Chloé Braud, Maxime Amblard:
Multi-Task Learning for Depression Detection in Dialogs. - Jiayi Wang, Rongzhou Bao, Zhuosheng Zhang, Hai Zhao:
Rethinking Textual Adversarial Defense for Pre-trained Language Models. - Nirmalya Thakur, Chia Y. Han:
An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection. - Chandra Sharma, George T. Amariucai, Shuangqing Wei:
The Economics of Privacy and Utility: Investment Strategies. - Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz:
On the non-efficient PAC learnability of acyclic conjunctive queries. - (Withdrawn) Information-Theoretic Equivalence of Entropic Multi-Marginal Optimal Transport: A Theory for Multi-Agent Communication.
- Deepan Muthirayan, Dileep M. Kalathil, Pramod P. Khargonekar:
Meta-Learning Online Control for Linear Dynamical Systems. - Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai:
Using Large Language Models to Simulate Multiple Humans. - Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, Soumyabrata Dev:
A semantic web approach to uplift decentralized household energy data. - Fatma Altunbulak Aksu, Murat Altunbulak:
Construction of binary linear constant weight codes by symmetric differences of supports. - Ruizhe Jia, Steven Yin:
To EVM or Not to EVM: Blockchain Compatibility and Network Effects. - Abhishek Mukhopadhyay, Shubham Agarwal, Patrick Dylan Zwick, Pradipta Biswas:
To show or not to show: Redacting sensitive text from videos of electronic displays. - Joaquin Delgado-Fernandez, Tom Barbereau, Orestis Papageorgiou:
Agent-based Model of Initial Token Allocations: Evaluating Wealth Concentration in Fair Launches. - Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das:
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning. - Jiale Fu, Yali Yuan, Jiajun He, Sichu Liang, Zhe Huang, Hongyu Zhu:
An Input-Aware Mimic Defense Theory and its Practice. - Zhaomin Wu, Qinbin Li, Bingsheng He:
Practical Vertical Federated Learning with Unsupervised Representation Learning. - Ferhat Özgür Çatak, Murat Kuzlu, Evren Çatak, Umit Cali, Ozgur Guler:
Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks. - Taahir Aiyoob Patel, Clement N. Nyirenda:
A Twitter-Driven Deep Learning Mechanism for the Determination of Vehicle Hijacking Spots in Cities. - Muhammad Hamza Waseem, Jonathon Liu, Vincent Wang-Mascianica, Bob Coecke:
Language-independence of DisCoCirc's Text Circuits: English and Urdu. 50-60 - Shimin Tao, Weibin Meng, Yimeng Chen, Yichen Zhu, Ying Liu, Chunning Du, Tao Han, Yongpeng Zhao, Xiangguang Wang, Hao Yang:
LogStamp: Automatic Online Log Parsing Based on Sequence Labelling. - Brahim Tamadazte:
Contributions à l'asservissement visuel et à l'imagerie en médecine. - Peter Belcak, Roger Wattenhofer:
Deterministic Graph-Walking Program Mining. - Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktäschel, Edward Grefenstette, Yuandong Tian:
Efficient Planning in a Compact Latent Action Space. - Wouter Jansen, Nico Huebel, Jan Steckel:
Physical LiDAR Simulation in Real-Time Engine. - Shucheng Yang, Xiaoping Gao, Jie Ren:
Sequential Circuits Synthesis for Rapid Single Flux Quantum Logic Based on Finite State Machine Decomposition. - Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang:
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering. - Tianpeng Gao, Jianzhong Li:
Analysis of Approximate sorting in I/O model. - Vincent Wall, Gabriel Zöller, Oliver Brock:
Passive and Active Acoustic Sensing for Soft Pneumatic Actuators. - Farha A. Khan, Jörg P. Dietrich, Christian Wirth:
Efficient Utility Function Learning for Multi-Objective Parameter Optimization with Prior Knowledge. - Fengying Dang, Dong Chen, Jun Chen, Zhaojian Li:
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving. - Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen:
Data-Driven Control of Distributed Event-Triggered Network Systems. - Hermann Kroll, Niklas Mainzer, Wolf-Tilo Balke:
On Dimensions of Plausibility for Narrative Information Access to Digital Libraries. - Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar, Tushar Sandhan, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal:
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit. - Yury Kaminsky, Irina Deeva:
BigBraveBN: algorithm of structural learning for bayesian networks with a large number of nodes. - Cyprien Gille, Frédéric Guyard, Michel Barlaud:
Semi-supervised classification using a supervised autoencoder for biomedical applications. - Artem Ryzhikov, Mikhail Hushchyn, Denis Derkach:
Latent Neural Stochastic Differential Equations for Change Point Detection. - ShanShan Zhong, Wushao Wen, Jinghui Qin:
Mix-Pooling Strategy for Attention Mechanism. - Pablo V. A. Barros, Özge Nilay Yalçin, Ana Tanevska, Alessandra Sciutti:
Incorporating Rivalry in Reinforcement Learning for a Competitive Game. - Alexander Kalinowski, Yuan An:
Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision. - Loann Giovannangeli, Frédéric Lalanne, Romain Giot, Romain Bourqui:
FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing. - Hanting Li, Hongjing Niu, Zhaoqing Zhu, Feng Zhao:
Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild. - Tong Han, David J. Hill, Yue Song:
Optimal Topology Transition. - Séverine Fratani, Guillaume Maurras, Pierre-Alain Reynier:
A robust class of languages of 2-nested words. - Adnen Abdessaied, Mihai Bâce, Andreas Bulling:
Neuro-Symbolic Visual Dialog. - Christoph Schweimer, Sebastian Scher:
Real-world-robustness of tree-based classifiers. - Zhanyu Wang, Mingkang Tang, Lei Wang, Xiu Li, Luping Zhou:
A Medical Semantic-Assisted Transformer for Radiographic Report Generation. - Jingxi Li, Bijie Bai, Yi Luo, Aydogan Ozcan:
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network. - Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng:
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. - Bing Liu, Wen Hua, Guido Zuccon, Genghong Zhao, Xia Zhang:
High-quality Task Division for Large-scale Entity Alignment. - Wooseok Shin, Hyun Joon Park, Jin Sob Kim, Byung Hoon Lee, Sung Won Han:
Multi-View Attention Transfer for Efficient Speech Enhancement. - Shunli Ren, Siheng Chen, Wenjun Zhang:
Collaborative Perception for Autonomous Driving: Current Status and Future Trend. - Yongwei Wang, Yuan Li, Zhiqi Shen:
Fight Fire With Fire: Reversing Skin Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism. - Lele Cao, Sonja Horn, Vilhelm von Ehrenheim, Richard Anselmo Stahl, Henrik Landgren:
Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data. - Yuanning Cui, Yuxin Wang, Zequn Sun, Wenqiang Liu, Yiqiao Jiang, Kexin Han, Wei Hu:
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities. - Shakil Ahmed, Mohamed Y. Selim, Ahmed E. Kamal:
Enhanced IoT Batteryless D2D Communications Using Reconfigurable Intelligent Surfaces. - Zheng Zhang, Zhaolin Wang, Yuanwei Liu, Bingtao He, Lu Lv, Jian Chen:
Security Enhancement for Coupled Phase-Shift STAR-RIS Networks. - Sonia Petrini, Antoni Casas-i-Muñoz, Jordi Cluet-i-Martinell, Mengxue Wang, Christian Bentz, Ramon Ferrer-i-Cancho:
The optimality of word lengths. Theoretical foundations and an empirical study. - Thanh An Phan, Thi Le Nguyen:
Multiple Shooting Approach for Finding Approximately Shortest Paths for Autonomous Robots in Unknown Environments in 2D. - Muhammad Firmansyah Kasim, Yi Heng Lim:
Constants of motion network. - Tulasi Sowjanya B., Visvesh Subramanian, Prasad Krishnan:
Bounding the Optimal Length of Pliable Index Coding via a Hypergraph-based Approach. - Khashayar Namdar, Partoo Vafaeikia, Farzad Khalvati:
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning. - Lorenzo Chelini, Henrik Barthels, Paolo Bientinesi, Marcin Copik, Tobias Grosser, Daniele G. Spampinato:
MOM: Matrix Operations in MLIR. - Timour Igamberdiev, Thomas Arnold, Ivan Habernal:
DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting. - Zhewen Yu, Christos-Savvas Bouganis:
SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search. - Mingyue Wang, Jiaqi Li, Yuyu Jia, Zhenhuan Sun, Yuhang Liu, Teng Li, Song Liu:
Automated Noncontact Trapping of Moving Micro-particle with Ultrasonic Phased Array System and Microscopic Vision. - Jahanzeb Rajput, Hafiz Zeeshan Iqbal Khan:
Nonlinear Control Allocation Using A Piecewise Multi-Linear Representation. - Fangyi Yu:
On Deep Learning in Password Guessing, a Survey. - Jianfei Yang, Yunjiao Zhou, He Huang, Han Zou, Lihua Xie:
MetaFi: Device-Free Pose Estimation via Commodity WiFi for Metaverse Avatar Simulation. - Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves:
NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments. - Jeongmin Bae, Mingi Kwon, Youngjung Uh:
FurryGAN: High Quality Foreground-aware Image Synthesis. - Dimitris Fotakis, Evangelia Gergatsouli, Charilaos Pipis, Miltiadis Stouras, Christos Tzamos:
Graph Connectivity with Noisy Queries. - Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong:
Equivariant Hypergraph Neural Networks. - Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman:
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings. - Mengqi Xue, Qihan Huang, Haofei Zhang, Lechao Cheng, Jie Song, Minghui Wu, Mingli Song:
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition. - Alireza Pulles, Weiyao Lai, Erika Sahari, XiaoQi Guo, Marc Bernhard:
Design and Development of Miniature long distance multi-moving robots for 3D Smart Sensing for underground Pipe Inspection. - Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, Gustav Eje Henter:
The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. - Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, Furu Wei:
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks. - Zewen Shen, Kirill Serkh:
Rapid evaluation of Newtonian potentials on planar domains. - Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang:
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models. - Renato Vukovic, Michael Heck, Benjamin Matthias Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Gasic:
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis. - Antoine Guédon, Pascal Monasse, Vincent Lepetit:
SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration. - Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying:
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence. - Abhi Kamboj, Tianchen Ji, Katie Driggs Campbell:
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. - Thibault Dardinier, Gaurav Parthasarathy, Peter Müller:
Verification-Preserving Inlining in Automatic Separation Logic Verifiers (extended version). - Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen:
Minimax-Optimal Multi-Agent RL in Zero-Sum Markov Games With a Generative Model. - Arved Friedemann, Oliver Keszöcze:
Towards Clause Learning à la Carte through VarMonads. - Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Based Counterfactual Explanations for Multivariate Time Series. - Samuel Armstrong:
Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias. - Phillip J. K. Christoffersen, Andreas A. Haupt, Dylan Hadfield-Menell:
Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL. - Mark Presten, Rishi Parikh, Shrey Aeron, Sandeep Mukherjee, Simeon Adebola, Satvik Sharma, Mark Theis, Walter Teitelbaum, Ken Goldberg:
Automated Pruning of Polyculture Plants. - Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames:
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. - Vamoua Yachongka, Hideki Yagi, Hideki Ochiai:
Secret-Key Agreement Using Physical Identifiers for Degraded and Less Noisy Authentication Channels. - Andreas Krebs, Howard Straubing:
Regular languages defined by first-order formulas without quantifier alternation. - Eugene Bykovets, Yannick Metz, Mennatallah El-Assady, Daniel A. Keim, Joachim M. Buhmann:
BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning. - Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou:
Prioritizing Samples in Reinforcement Learning with Reducible Loss. - Aneesh Tickoo, Shweta Chauhan, Gagan Raj Gupta:
Friendliness Of Stack Overflow Towards Newbies. - Xinrui Yan, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Haoxin Ma, Zhengkun Tian, Ruibo Fu:
System Fingerprints Detection for DeepFake Audio: An Initial Dataset and Investigation. - Venkatesh Rammamoorthy, Geng Zhao, Bharathi Reddy, Ming-Yang Lin:
Memristive Computing for Efficient Inference on Resource Constrained Devices. - Junghun Kim, Yoojin An, Jihie Kim:
Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms. - Li Huang, Bertrand Meyer, Manuel Oriol:
Improving Counterexample Quality from Failed Program Verification. - Namkyeong Lee, Dongmin Hyun, Junseok Lee, Chanyoung Park:
Relational Self-Supervised Learning on Graphs. - Hae Beom Lee, Dong Bok Lee, Sung Ju Hwang:
Dataset Condensation with Latent Space Knowledge Factorization and Sharing. - Shiwen He, Yeyu Ou, Liangpeng Wang, Hang Zhan, Peng Ren, Yongming Huang:
Representation Learning of Knowledge Graph for Wireless Communication Networks. - Pierre Champion, Denis Jouvet, Anthony Larcher:
Are disentangled representations all you need to build speaker anonymization systems? - Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen:
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. - Jun Rekimoto:
DualVoice: Speech Interaction that Discriminates between Normal and Whispered Voice Input. - Negin Yousefpour, Oscar Correa:
Towards an AI-based Early Warning System for Bridge Scour. - Davide Cortellessa, Nicola Ferro, Simona Perotto, Stefano Micheletti:
Enhancing level set-based topology optimization with anisotropic graded meshes. - Wonyeol Lee, Xavier Rival, Hongseok Yang:
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference. - Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. - Jun Jet Tai, Jordan K. Terry, Mauro Sebastián Innocente, James Brusey, Nadjim Horri:
Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics. - Syed Shadab Nayyer, Sushama R. Wagh, Navdeep M. Singh:
Towards a Constructive Framework for Stabilization and Control of Nonlinear Systems: Passivity and Immersion (P\&I) Approach. - Seyed Hosein Mousavi, Jafar Pourrostam:
Fast Updating the STBC Decoder Matrices in the Uplink of a Massive MIMO System. - Mumen Rababah, Mohammad Maydanchi, Shaheen Pouya, Mina Basiri, Alireza Norouzi Azad, Fatemeh Haji, Mohammad Aminjarahi:
Data Visualization of Traffic Violations in Maryland, U.S. - Aidan Boyd, Patrick Tinsley, Kevin W. Bowyer, Adam Czajka:
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces. - Tomoki Ohsawa:
Preservation of Quadratic Invariants by Semiexplicit Symplectic Integrators for Non-separable Hamiltonian Systems. - Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. - Eran Zvuloni, Sheina Gendelman, Sanghamitra Mohanty, Jason Lewen, Andrea Natale, Joachim A. Behar:
Atrial Fibrillation Recurrence Risk Prediction from 12-lead ECG Recorded Pre- and Post-Ablation Procedure. - Yahav Avigal, Lars Berscheid, Tamim Asfour, Torsten Kröger, Ken Goldberg:
SpeedFolding: Learning Efficient Bimanual Folding of Garments. - Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu:
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. - Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Arzhannikov, Gleb Gusev, Djamila Aouada:
CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations. - João Domingos Gomes da Silva Jr., Carla Silva Oliveira, Liliana Manuela G. C. da Costa:
On the characteristic polynomial of the $A_α$-matrix for some operations of graphs. - Anuj Singh, Hadi Jamali Rad:
Transductive Decoupled Variational Inference for Few-Shot Classification. - Aidan Boyd, Jeremy Speth, Lucas Parzianello, Kevin W. Bowyer, Adam Czajka:
State Of The Art In Open-Set Iris Presentation Attack Detection. - Tuochao Chen, Justin Chan, Shyamnath Gollakota:
Underwater Messaging Using Mobile Devices. - Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai:
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. - Anina Gruica, Anna-Lena Horlemann, Alberto Ravagnani, Nadja Willenborg:
Densities of Codes of Various Linearity Degrees in Translation-Invariant Metric Spaces. - Richard C. Gerum, Cassidy Pirlot, Alona Fyshe, Joel Zylberberg:
Different Spectral Representations in Optimized Artificial Neural Networks and Brains. - Seth Pettie, Dingyu Wang:
Simpler and Better Cardinality Estimators for HyperLogLog and PCSA. - Jack Foster, Mazvydas Gudelis, Amir Ghalamzan Esfahani:
Robotic Perception in Agri-food Manipulation: A Review. - Abigail Wolf, Shannon Brooks-Lehnert, Keigo Hirakawa:
EBSnoR: Event-Based Snow Removal by Optimal Dwell Time Thresholding. - Eshwar S. R, Shishir Kolathaya, Gugan Thoppe:
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking. - Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang:
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. - Saeid Alavi Naeini, Leif E. R. Simmatis, Deniz Jafari, Diego L. Guarin, Yana Yunusova, Babak Taati:
Automated Temporal Segmentation of Orofacial Assessment Videos. - Enna Sachdeva, Chiho Choi:
DIDER: Discovering Interpretable Dynamically Evolving Relations. - Sasindu Wijeratne, Akhilesh R. Jaiswal, Ajey P. Jacob, Bingyi Zhang, Viktor K. Prasanna:
Performance Modeling Sparse MTTKRP Using Optical Static Random Access Memory on FPGA. - Saeid Alavi Naeini, Leif E. R. Simmatis, Yana Yunusova, Babak Taati:
Concurrent Validity of Automatic Speech and Pause Measures During Passage Reading in ALS. - Lanqin Yuan, Marian-Andrei Rizoiu:
Detect Hate Speech in Unseen Domains using Multi-Task Learning: A Case Study of Political Public Figures. - Eli Sennesh, Jordan Theriault, Jan-Willem van de Meent, Lisa Feldman Barrett, Karen S. Quigley:
Deriving time-averaged active inference from control principles. - Pablo M. Oliveira, Mateus B. Vieira, Isaac C. Ferreira, João P. R. R. Leite, Edvard Martins de Oliveira, Bruno Tardiole Kuehne, Edmilson Marmo Moreira, Otávio Augusto Salgado Carpinteiro:
ABL: An original active blacklist based on a modification of the SMTP. - Wai Tong, Zhutian Chen, Meng Xia, Leo Yu-Ho Lo, Linping Yuan, Benjamin Bach, Huamin Qu:
Exploring Interactions with Printed Data Visualizations in Augmented Reality. - Azqa Nadeem, Daniël Vos, Clinton Cao, Luca Pajola, Simon Dieck, Robert Baumgartner, Sicco Verwer:
SoK: Explainable Machine Learning for Computer Security Applications. - Gagandeep Singh, Dionysios Diamantopoulos, Juan Gómez-Luna, Sander Stuijk, Henk Corporaal, Onur Mutlu:
LEAPER: Modeling Cloud FPGA-based Systems via Transfer Learning. - Jonathan Ventura, Milo Honsberger, Cameron Gonsalves, Julian Rice, Camille Pawlak, Natalie L. R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter:
Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery. - Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan:
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN. - Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió:
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. - Meiyi Li, Soheil Kolouri, Javad Mohammadi:
Learning to Solve Optimization Problems with Hard Linear Constraints. - Joona Halkola, Markku Suomalainen, Basak Sakcak, Katherine J. Mimnaugh, Juho Kalliokoski, Alexis P. Chambers, Timo Ojala, Steven M. LaValle:
Leaning-Based Control of an Immersive-Telepresence Robot. - Ranvir Rana, Dimitris Karakostas, Sreeram Kannan, Aggelos Kiayias, Pramod Viswanath:
Optimal Bootstrapping of PoW Blockchains. - Tai Le Quy, Thi Huyen Nguyen, Gunnar Friege, Eirini Ntoutsi:
Evaluation of group fairness measures in student performance prediction problems. - Tsuyoshi Idé, Keerthiram Murugesan, Djallel Bouneffouf, Naoki Abe:
Targeted Advertising on Social Networks Using Online Variational Tensor Regression. - Anh V. Vu, Daniel R. Thomas, Ben Collier, Alice Hutchings, Richard Clayton, Ross J. Anderson:
Getting Bored of Cyberwar: Exploring the Role of the Cybercrime Underground in the Russia-Ukraine Conflict. - Jose E. Tabarez, Arthur K. Barnes, Adam Mate, Russell Bent:
Fault Current-Constrained Optimal Power Flow on Unbalanced Distribution Networks. - Sina Abbasi, Ebrahim Bedeer:
Low Complexity Classification Approach for Faster-than-Nyquist (FTN) Signalling Detection. - Govind Saraswat, Blake Lundstrom, Murti V. Salapaka:
Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring. - Haoyang Yang, Pratham Darrpan Mehta, Jonathan Leo, Zhiyan Zhou, Megan Dass, Anish Upadhayay, Timothy C. Slesnick, Fawwaz Shaw, Amanda Randles, Duen Horng Chau:
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality. - Yuxuan Tian:
Fake News Identification using Machine Learning Algorithms Based on Graph Features. - Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. - Mansi Girdhar, Junho Hong, Yongsik You, Tai-Jin Song:
Machine Learning-Enabled Cyber Attack Prediction and Mitigation for EV Charging Stations. - Justin J. Page, Laura K. Treers, Steven Jens Jorgensen, Ronald S. Fearing, Hannah S. Stuart:
The Robustness of Tether Friction in Non-idealized Terrains. - Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Efficiency of the First-Price Auction in the Autobidding World. - Kunaal Verma, Mansi Girdhar, Azeem Hafeez, Selim S. Awad:
ECU Identification using Neural Network Classification and Hyperparameter Tuning. - Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang:
Learning Visibility for Robust Dense Human Body Estimation. - Ran Wei:
Performance Analysis of Semi-Persistent Scheduling Throughput in 5G NR-V2X: A MAC Perspective. - Rayson Laroca, Marcelo dos Santos, Valter Estevam, Eduardo Luz, David Menotti:
A First Look at Dataset Bias in License Plate Recognition. - Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin:
Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues. - Prabhjot Kaur, Qifan Wang, Weisong Shi:
Fall Detection from Audios with Audio Transformers. - Fan-Yun Sun, Isaac Kauvar, Ruohan Zhang, Jiachen Li, Mykel J. Kochenderfer, Jiajun Wu, Nick Haber:
Interaction Modeling with Multiplex Attention. - Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Unsupervised Fish Trajectory Tracking and Segmentation. - Sidharth Malhotra, Girik Malik:
Solving Royal Game of Ur Using Reinforcement Learning. - Tsuyoshi Idé, Georgios Kollias, Dzung T. Phan, Naoki Abe:
Cardinality-Regularized Hawkes-Granger Model. - Tsuyoshi Idé, Rudy Raymond:
Decentralized Collaborative Learning with Probabilistic Data Protection. - Yining Chen, Ke Wang, Guanghua Song, Xiaohong Jiang:
Entropy Enhanced Multi-Agent Coordination Based on Hierarchical Graph Learning for Continuous Action Space. - Danshi Wang, Chunyu Zhang, Wenbin Chen, Hui Yang, Min Zhang, Alan Pak Tao Lau:
A Review of Machine Learning-based Failure Management in Optical Networks. - Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
Anomaly Attribution with Likelihood Compensation. - Jing Zhu, Danai Koutra, Mark Heimann:
CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. - Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao:
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling. - Jean Lee, Taejun Lim, Heejun Lee, Bogeun Jo, Yang Sok Kim, Hee-Geun Yoon, Soyeon Caren Han:
K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment. - Gaurav R. Ghosal, Matthew Zurek, Daniel S. Brown, Anca D. Dragan:
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types. - Simin Li, Huangxinxin Xu, Jiakai Wang, Aishan Liu, Fazhi He, Xianglong Liu, Dacheng Tao:
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection. - Sichun Luo, Yuanzhang Xiao, Yang Liu, Congduan Li, Linqi Song:
Towards Communication Efficient and Fair Federated Personalized Sequential Recommendation. - Penghua Zhai, Enwei Zhu, Baolian Qi, Xin Wei, Jinpeng Li:
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions. - Lingfeng Li, Huaiwei Cong, Gangming Zhao, Junran Peng, Zheng Zhang, Jinpeng Li:
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization. - Xin Wei, Huaiwei Cong, Zheng Zhang, Junran Peng, Guoping Chen, Jinpeng Li:
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning. - Haodong Li, Kaidi Wang, Zhiguo Ding:
Delay Minimization for Hybrid BAC-NOMA Offloading in MEC Networks. - Banafsheh Mohajeri, Jinghui Cheng:
"Inconsistent Performance": Understanding Concerns of Real-World Users on Smart Mobile Health Applications Through Analyzing App Reviews. - Boyi Jin:
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm. - Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang:
Few-Shot Table-to-Text Generation with Prefix-Controlled Generator. - Shu Tang, Yang Wu, Hongxing Qin, Xianzhong Xie, Shuli Yang, Jing Wang:
A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation. - Valliappan Muthukaruppan, Ashwin Shirsat, Rongxing Hu, Victor Paduani, Bei Xu, Yiyan Li, Mesut E. Baran, Ning Lu, David Lubkeman, Wenyuan Tang:
Feeder Microgrid Management on an Active Distribution System during a Severe Outage. - Ajit Desai, Mohammad Khalil, Chris L. Pettit, Dominique Poirel, Abhijit Sarkar:
Domain Decomposition of Stochastic PDEs: Development of Probabilistic Wirebasket-based Two-level Preconditioners. - Ellis R. Crabtree, Juan M. Bello-Rivas, Andrew L. Ferguson, Ioannis G. Kevrekidis:
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling. - Weihao Yan, Yeqiang Qian, Chunxiang Wang, Ming Yang:
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation. - Kisoo Kwon, Kuhwan Jung, Junghyun Park, Hwidong Na, Jinwoo Shin:
String-based Molecule Generation via Multi-decoder VAE. - Li Ding, Ryan Boldi, Thomas Helmuth, Lee Spector:
Lexicase Selection at Scale. - Shunhao Oh, Dana Randall, Andréa W. Richa:
Foraging in Particle Systems via Self-Induced Phase Changes. - Zining Chen, Weiqiu Wang, Zhicheng Zhao, Aidong Men, Hong Chen:
Bag of Tricks for Out-of-Distribution Generalization. - Tan N. Nguyen, Dinh Hieu Tran, Trinh Van Chien, Van-Duc Phan, Miroslav Voznák, Symeon Chatzinotas:
Security and Reliability Analysis of Satellite-Terrestrial Multi-Relay Networks with Imperfect CSI. - Fitsum Debebe Tilahun, Ameha Tsegaye Abebe, Chung Gu Kang:
DRL-based Distributed Resource Allocation for Edge Computing in Cell-Free Massive MIMO Network. - Thomas Bellitto, Christopher Duffy, Gary MacGillivray:
Homomorphically Full Oriented Graphs. - Qi Guo, Yong Qi, Saiyu Qi, Di Wu, Qian Li:
FedMCSA: Personalized Federated Learning via Model Components Self-Attention. - Fernando Castañeda, Jason J. Choi, Wonsuhk Jung, Bike Zhang, Claire J. Tomlin, Koushil Sreenath:
Probabilistic Safe Online Learning with Control Barrier Functions. - Xiaohang Tang, Yi Zhou, Danushka Bollegala:
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation. - Winston Hurst, Yasamin Mostofi:
Optimization of Mobile Robotic Relay Operation for Minimal Average Wait Time. - Marco Pesavento, Marco Volino, Adrian Hilton:
Super-resolution 3D Human Shape from a Single Low-Resolution Image. - Chunlei Cai, Yi Wang, Xiaobo Li, Tianxiao Ye:
Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction. - Jungho Lee, Minhyeok Lee, Dogyoon Lee, Sangyoon Lee:
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition. - Dae-Woong Lee, P. Christopher Staecker:
Digital topological groups. - Min Seok Kim:
Predicting Query-Item Relationship using Adversarial Training and Robust Modeling Techniques. - Shen Li, Bryan Hooi:
Neural PCA for Flow-Based Representation Learning. - Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks. - Xintian Han, Mark Goldstein, Rajesh Ranganath:
Survival Mixture Density Networks. - Ali Borji:
How good are deep models in understanding the generated images? - Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks. - Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim:
Depth Map Decomposition for Monocular Depth Estimation. - Archit Gupta, Arvind Easwaran:
A Low-Cost Lane-Following Algorithm for Cyber-Physical Robots. - MeiXing Dong, Ruixuan Sun, Laura Biester, Rada Mihalcea:
We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience. - Paul Kremer, Hamed Rahimi Nohooji, José Luis Sánchez-López, Holger Voos:
A Lightweight Universal Gripper with Low Activation Force for Aerial Grasping. - Zhangyang Xiong, Dong Du, Yushuang Wu, Jingqi Dong, Di Kang, Linchao Bao, Xiaoguang Han:
PIFu for the Real World: A Self-supervised Framework to Reconstruct Dressed Human from Single-view Images. - Xingyu Tian, Zhifan Ye, Alec Lu, Licheng Guo, Yuze Chi, Zhenman Fang:
SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs. - Dewang Hou, Yuanyuan Du, Kai Zhao, Yang Zhao:
Learning an Efficient Multimodal Depth Completion Model. - Svetlana Pavlitskaya, Nikolai Polley, Michael Weber, J. Marius Zöllner:
Adversarial Vulnerability of Temporal Feature Networks for Object Detection. - Giacomo Oliveri, Marco Salucci, Andrea Massa:
Features and Potentialities of Static Passive EM Skins for NLOS Specular Wireless Links. - Nicklas Boserup, Raghavendra Selvan:
Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation. - Jongha Kim, Jinheon Baek, Sung Ju Hwang:
Object Detection in Aerial Images with Uncertainty-Aware Graph Network. - Abhishek Joshi, Sathish Chalasani, Kiran Nanjunda Iyer:
Semantic Driven Energy based Out-of-Distribution Detection. - Paul Brunzema, Alexander von Rohr, Friedrich Solowjow, Sebastian Trimpe:
Event-Triggered Time-Varying Bayesian Optimization. - Minam Moon, Injo Hur, Sunghwan Moon:
Singular value decomposition of the wave forward operator with radial variable coefficients. - Barbara McGillivray, Martina Astrid Rodda:
Computational valency lexica and Homeric formularity. - Côme Butin, Damien Chablat, Yannick Aoustin, David Gouaillier:
Cin{é}matique d'une Proth{è}se de Main Myo{é}lectrique Accessible avec Actionneur Unique et R{é}tropulsion Passive du Pouce. - Yash Raj, Bhavesh Laddagiri:
MATra: A Multilingual Attentive Transliteration System for Indian Scripts. - Adrian Wiltz, Dimos V. Dimarogonas:
Handling Disjunctions in Signal Temporal Logic Based Control Through Nonsmooth Barrier Functions. - Dongjie Yang, Zhuosheng Zhang, Hai Zhao:
Learning Better Masking for Better Language Model Pre-training. - Hui Li, Zidong Guo, Seon-Min Rhee, Seungju Han, Jae-Joon Han:
Towards Accurate Facial Landmark Detection via Cascaded Transformers. - Yuxiang Nie, Heyan Huang, Zewen Chi, Xian-Ling Mao:
Unsupervised Question Answering via Answer Diversifying. - Jana Lasser, Segun Taofeek Aroyehun, Fabio Carrella, Almog Simchon, David García, Stephan Lewandowsky:
New conceptions of truth foster misinformation in online public political discourse. - Martin Lambers:
Parameterization-Independent Importance Sampling of Environment Maps. - Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, Dangyang Chen:
Improving Personality Consistency in Conversation by Persona Extending. - Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic:
GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers. - Daniel Franzen, Saskia Nuñez von Voigt, Peter Sörries, Florian Tschorsch, Claudia Müller-Birn:
"Am I Private and If So, how Many?" - Communicating Privacy Guarantees of Differential Privacy with Risk Communication Formats. - Francesco Tonini, Cigdem Beyan, Elisa Ricci:
Multimodal Across Domains Gaze Target Detection. - Wouter Jansen, Dennis Laurijssen, Jan Steckel:
Adaptive Acoustic Flow-Based Navigation with 3D Sonar Sensor Fusion. - Gregor Gantner, Rob P. Stevenson:
Improved rates for a space-time FOSLS of parabolic PDEs. - Ahmet Kerem Aksoy, Pavel Dushev, Eleni Tzirita Zacharatou, Holmer Hemsen, Marcela Charfuelan, Jorge-Arnulfo Quiané-Ruiz, Begüm Demir, Volker Markl:
Satellite Image Search in AgoraEO. - (Withdrawn) RGB-D Scene Recognition based on Object-Scene Relation.
- Wouter Jansen, Dennis Laurijssen, Jan Steckel:
Real-Time Sonar Fusion for Layered Navigation Controller. - Alexander Becker, Thomas Liebig:
Evaluating Machine Unlearning via Epistemic Uncertainty. - Wouter Jansen, Dennis Laurijssen, Walter Daems, Jan Steckel:
Automatic Calibration of a Six-Degrees-of-Freedom Pose Estimation System. - Valentin Barrière, Martin Claverie:
Multimodal Crop Type Classification Fusing Multi-Spectral Satellite Time Series with Farmers Crop Rotations and Local Crop Distribution. - Wouter Jansen, Dennis Laurijssen, Robin Kerstens, Walter Daems, Jan Steckel:
In-Air Imaging Sonar Sensor Network with Real-Time Processing Using GPUs. - Yuanwen Liu, Bruno Clerckx, Petar Popovski:
Network Slicing for eMBB, URLLC, and mMTC: An Uplink Rate-Splitting Multiple Access Approach. - Lu Yin, Shiwei Liu, Meng Fang, Tianjin Huang, Vlado Menkovski, Mykola Pechenizkiy:
Lottery Pools: Winning More by Interpolating Tickets without Increasing Training or Inference Cost. - Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. - Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. - Xiangyin Kong, Xiaoyu Jiang, Bingxin Zhang, Jinsong Yuan, Zhiqiang Ge:
Latent Variable Models in the Era of Industrial Big Data: Extension and Beyond. - Pawan Negi, Prabhu Ramachandran:
Identifying second order accurate boundary conditions for WCSPH. - Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki:
Generating people flow from architecture of real unseen environments. - Sophie Fischer, Carlos Gemmell, Iain Mackie, Jeffrey Dalton:
VILT: Video Instructions Linking for Complex Tasks. - Colin Groth, Sascha Fricke, Susana Castillo, Marcus A. Magnor:
Wavelet-Based Fast Decoding of 360° Videos. - Jing Liu, Jianfei Cai, Bohan Zhuang:
FocusFormer: Focusing on What We Need via Architecture Sampler. - Raïssa Nataf, Guy Goren, Yoram Moses:
Null Messages, Information and Coordination. - Qinglin Liu, Zhiyong Lin, Zong-Heng Wei, Jianfeng Wen, Congming Yi, Hai Liu:
A Quinary Coding and Matrix Structure-based Channel Hopping Algorithm for Blind Rendezvous in Cognitive Radio Networks. - Tim Bücher, Lilas Alrahis, Guilherme Paim, Sergio Bampi, Ozgur Sinanoglu, Hussam Amrouch:
AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks. - Moshe Levy, Yuval Elovici, Yisroel Mirsky:
Transferability Ranking of Adversarial Examples. - Henri Thölke, Jens Kosiol:
A multiplicity-preserving crossover operator on graphs. Extended version. - Maxime Leiber, Axel Barrau, Yosra Marnissi, Dany Abboud:
A differentiable short-time Fourier transform with respect to the window length. - Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger:
Joint Privacy Enhancement and Quantization in Federated Learning. - Elahe Arani, Shruthi Gowda, Ratnajit Mukherjee, Omar Magdy, Senthilkumar Kathiresan, Bahram Zonooz:
A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey. - J. A. Meaney, Steven R. Wilson, Luis Chiruzzo, Walid Magdy:
Don't Take it Personally: Analyzing Gender and Age Differences in Ratings of Online Humor. - Raul Gomez Bruballa, Lauren Burnham-King, Alessandra Sala:
Can you recommend content to creatives instead of final consumers? A RecSys based on user's preferred visual styles. - Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert:
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. - Haoran Xie, Keisuke Arihara, Syuhei Sato, Kazunori Miyata:
DualSmoke: Sketch-Based Smoke Illustration Design with Two-Stage Generative Model. - Qianxiang Ma, Sameer Deshmukh, Rio Yokota:
Scalable Linear Time Dense Direct Solver for 3-D Problems Without Trailing Sub-Matrix Dependencies. - Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. - Enes Altuncu, Virginia N. L. Franqueira, Shujun Li:
Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Review. - Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt:
Home Run: Finding Your Way Home by Imagining Trajectories. - Satyam Kumar, Vadlamani Ravi:
Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance. - Frank Qiu:
Graph Embeddings via Tensor Products and Approximately Orthonormal Codes. - Jessica Huynh, Shikib Mehri, Cathy Jiao, Maxine Eskénazi:
The DialPort tools. - Seyedeh Maryam Hosseini, Milad Sikaroudi, Morteza Babaie, Hamid R. Tizhoosh:
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images. - Muhammad Zawish, Fayaz Ali Dharejo, Sunder Ali Khowaja, Kapal Dev, Steven Davy, Nawab Muhammad Faseeh Qureshi, Paolo Bellavista:
AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends. - Dongchan Min, Minyoung Song, Sung Ju Hwang:
StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generation. - Hai Li, Xingrui Yang, Hongjia Zhai, Yuqian Liu, Hujun Bao, Guofeng Zhang:
Vox-Surf: Voxel-based Implicit Surface Representation. - Sagina Athikkal, John Jenq:
Voice Chatbot for Hospitality. - Yoichi Yamazaki, Tsukuto Yamada, Hiroki Nomura, Nobuaki Hosoda, Ryoma Kawamura, Kazuaki Takeuchi, Hiroaki Kato, Ryuma Niiyama, Kentaro Yoshifuji:
Meta Avatar Robot Cafe: Linking Physical and Virtual Cybernetic Avatars to Provide Physical Augmentation for People with Disabilities. - Yunqing Zhao, Ngai-Man Cheung:
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification. - Jindan Xu, Chau Yuen, Chongwen Huang, Naveed Ul Hassan, George C. Alexandropoulos, Marco Di Renzo, Mérouane Debbah:
Reconfiguring Wireless Environment via Intelligent Surfaces for 6G: Reflection, Modulation, and Security. - Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Lance M. Kaplan, Murat Sensoy:
Research Note on Uncertain Probabilities and Abstract Argumentation. - Sandip Das, Frank Slyne, Daniel C. Kilper, Marco Ruffini:
Schedulers Synchronization Supporting Ultra Reliable Low Latency Communications (URLLC) in Cloud-RAN over Virtualised Mesh PON. - Sangwoong Yoon, Jinwon Choi, Yonghyeon Lee, Yung-Kyun Noh, Frank Chongwoo Park:
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers. - Xu Cheng, Chendan Li, Xiufeng Liu:
A Review of Federated Learning in Energy Systems. - Gayan K. Kulatilleke:
Challenges and Complexities in Machine Learning based Credit Card Fraud Detection. - Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang:
Towards Natural Language-Based Visualization Authoring. - Guangyi Zhang, Aristides Gionis:
Regularized impurity reduction: Accurate decision trees with complexity guarantees. - Rajat Rasal, Daniel C. Castro, Nick Pawlowski, Ben Glocker:
Deep Structural Causal Shape Models. - Philipp Trunschke:
Convergence bounds for nonlinear least squares for tensor recovery. - Rasmus Kyng, Simon Meierhans, Maximilian Probst Gutenberg:
Derandomizing Directed Random Walks in Almost-Linear Time. - Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein:
The Value of Out-of-Distribution Data. - Hyungjun Lee, Sejoon Lim:
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention. - Siwen Luo, Yihao Ding, Siqu Long, Soyeon Caren Han, Josiah Poon:
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis. - Benedetta Tondi, Andrea Costanzo, Mauro Barni:
Robust DNN Watermarking via Fixed Embedding Weights with Optimized Distribution. - Jinrong Yang, En Yu, Zeming Li, Xiaoping Li, Wenbing Tao:
Quality Matters: Embracing Quality Clues for Robust 3D Multi-Object Tracking. - Nicola Branchini, Virginia Aglietti, Neil Dhir, Theodoros Damoulas:
Causal Entropy Optimization. - Cristina Gena, Chiara Vaudano, Davide Cellie:
Co-Design and implementation of an open-source 3D printed robot. - Daniel Mauricio Jimenez Gutierrez, Hafiz Muuhammad Hassan, Lorella Landi, Andrea Vitaletti, Ioannis Chatzigiannakis:
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals. - Karthik Raghavan Ramaswamy, Giulio Bottegal, Paul M. J. Van den Hof:
Learning linear modules in a dynamic network with missing node observations. - Alvaro R. Ferreira Jr., Fábio Augusto Faria, Gustavo Carneiro, Vinícius Veloso de Melo:
An Evolutionary Approach for Creating of Diverse Classifier Ensembles. - Letian Peng, Zuchao Li, Hai Zhao:
Evaluate Confidence Instead of Perplexity for Zero-shot Commonsense Reasoning. - Simon Narduzzi, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. - Martinus Grady Naftali, Jason Sebastian Sulistyawan, Kelvin Julian, Felix Indra Kurniadi:
AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Images. - Lin Liu, Junfeng An, Jianzhuang Liu, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Yanfeng Wang, Qi Tian:
Low-Light Video Enhancement with Synthetic Event Guidance. - Yu Hou, Cong Tran, Won-Yong Shin:
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks. - Libin Shi, Kai Zhang, Wenge Rong:
Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval. - Natália Dal Pizzol, Eduardo Dos Santos Barbosa, Soraia Raupp Musse:
Gender Representation in Brazilian Computer Science Conferences. - Yanxu Hu, Andy J. Ma:
Adversarial Feature Augmentation for Cross-domain Few-shot Classification. - Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig:
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. - Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao:
Grad-Align+: Empowering Gradual Network Alignment Using Attribute Augmentation. - Barbara Verfürth:
Higher-order finite element methods for the nonlinear Helmholtz equation. - Anand Kumar, Easha, Debdeep Sarkar, Gaurab Banerjee:
A Compact Quasi-Yagi Antenna for FMCW Radar-on-Chip based Through-Wall Imaging. - Prasoon Sinha, Akhil Guliani, Rutwik Jain, Brandon Tran, Matthew D. Sinclair, Shivaram Venkataraman:
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems. - Ou Zheng, Mohamed A. Abdel-Aty, Lishengsa Yue, Amr Abdelraouf, Zijin Wang, Nada Mahmoud:
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital Twins. - Junyu Lu, Dixiang Zhang, Pingjian Zhang:
Flat Multi-modal Interaction Transformer for Named Entity Recognition. - Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. - Liliana Borcea, Josselin Garnier, Alexander V. Mamonov, Jörn T. Zimmerling:
Waveform inversion with a data driven estimate of the internal wave. - Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. - Jia-Chen Zhao:
Enhancement Encoding: A New Imbalanced Classification Approach via Encoding the Labels. - Dimitrios Alivanistos, Selene Baez Santamaría, Michael Cochez, Jan-Christoph Kalo, Emile van Krieken, Thiviyan Thanapalasingam:
Prompting as Probing: Using Language Models for Knowledge Base Construction. - Guilherme B. A. Pimenta, Fernanda B. J. R. Dallaqua, Alvaro Luiz Fazenda, Fábio Augusto Faria:
Neuroevolution-based Classifiers for Deforestation Detection in Tropical Forests. - Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao:
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping. - Amirhosein Sayyadabdi, Behrouz Tork Ladani, Bahman Zamani:
Towards a Formal Approach for Detection of Vulnerabilities in the Android Permissions System. - Chenchen Han, Heng Jia:
Multi-Modal Representation Learning with Self-Adaptive Thresholds for Commodity Verification. - Philippe Mongeon, Timothy D. Bowman, Rodrigo Costas:
An open dataset of scholars on Twitter. - Shatendra Singh, Aruna Tiwari:
Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization. - Vincent R. Pascuzzi, Matteo Turilli, Shantenu Jha:
Asynchronous Execution of Heterogeneous Tasks in AI-coupled HPC Workflows. - Tiger F. Ji, Brianna R. Cochran, Yuhang Zhao:
VRBubble: Enhancing Peripheral Awareness of Avatars for People with Visual Impairments in Social Virtual Reality. - Luca Maiano, Lorenzo Papa, Ketbjano Vocaj, Irene Amerini:
DepthFake: a depth-based strategy for detecting Deepfake videos. - Sridhar Mahadevan:
Categoroids: Universal Conditional Independence. - Hanwen Ren, Ahmed Hussain Qureshi:
Robot Active Neural Sensing and Planning in Unknown Cluttered Environments. - Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek:
SurvSHAP(t): Time-dependent explanations of machine learning survival models. - Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang:
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). - Kian Boon Koh, Basura Fernando:
Consistency Regularization for Domain Adaptation. - Joshua Bundt, Andrew Fasano, Brendan Dolan-Gavitt, William K. Robertson, Tim Leek:
Evaluating Synthetic Bugs. - Alessandra Rossi, Patrick Holthaus, Sílvia Moros, Gabriella Lakatos:
IEEE Trust, Acceptance and Social Cues in Human-Robot Interaction - SCRITA 2022 Workshop. - Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang:
Dynamic Causal Collaborative Filtering. - Andrea Atzori, Gianni Fenu, Mirko Marras:
Explaining Bias in Deep Face Recognition via Image Characteristics. - Lalit Kumar:
Error Estimates for a Linearized Fractional Crank-Nicolson FEM for Kirchhoff type Quasilinear Subdiffusion Equation with Memory. - Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos:
Efficient Attention-free Video Shift Transformers. - Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang:
DeepInteraction: 3D Object Detection via Modality Interaction. - Yuansheng Zhu, Wentao Bao, Qi Yu:
Towards Open Set Video Anomaly Detection. - Naama Ben-David, Michal Friedman, Yuanhao Wei:
Survey of Persistent Memory Correctness Conditions. - Yang Li, Yucheng Tu, Xiaoxue Chen, Hao Zhao, Guyue Zhou:
Distance-Aware Occlusion Detection with Focused Attention. - Kexuan Xin, Zequn Sun, Wen Hua, Wei Hu, Jianfeng Qu, Xiaofang Zhou:
Large-scale Entity Alignment via Knowledge Graph Merging, Partitioning and Embedding. - Amar Maafa, Hacene Mellah, Kaci Ghedamsi, Djamal Aouzellag:
Improvement of Sliding Mode Control Strategy Founded on Cascaded Doubly Fed Induction Generator Powered by a Matrix Converter. - Xingyu Bruce Liu, Ruolin Wang, Dingzeyu Li, Xiang 'Anthony' Chen, Amy Pavel:
CrossA11y: Identifying Video Accessibility Issues via Cross-modal Grounding. - (Withdrawn) SoK: Content Moderation Schemes in End-to-End Encrypted Systems.
- Xiao Guo, Yaojie Liu, Anil K. Jain, Xiaoming Liu:
Multi-domain Learning for Updating Face Anti-spoofing Models. - (Withdrawn) Analyzing Trends in Tor.
- Huacheng Yu:
Strong XOR Lemma for Communication with Bounded Rounds. - Jiangming Xie, Maojun Li, Miao-Jung Yvonne Ou:
An efficient and energy decaying discontinuous Galerkin method for Maxwell's equations for the Cole-Cole dispersive medium. - Tong Huang, Dan Wu, Marija Ilic:
Cyber-resilient Automatic Generation Control for Systems of AC Microgrids. - Angel A. Ciarbonetti, Sergio Idelsohn, Ruben D. Spies:
Identification of the heterogeneous conductivity in an inverse heat conduction problem. - Li Ding, Lee Spector:
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits. - Andrea Gemelli, Sanket Biswas, Enrico Civitelli, Josep Lladós, Simone Marinai:
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks. - Kexin Zhang, Elmira Deldari, Zhicong Lu, Yaxing Yao, Yuhang Zhao:
"It's Just Part of Me: " Understanding Avatar Diversity and Self-presentation of People with Disabilities in Social Virtual Reality. - Sabah Al-Fedaghi:
Conceptual Modeling of Aggregation: an Exploration. - Aymen Takie Eddine Selmi, Mohamed Faouzi Zerarka, Abdelhakim Cheriet:
Dilation two embedding one-by-one particular sub-quadtree into M-dimentional crossed cubes. - Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski:
The Alberta Plan for AI Research. - Hamdy Abdelkhalik, Yehia Arafa, Nandakishore Santhi, Abdel-Hameed A. Badawy:
Demystifying the Nvidia Ampere Architecture through Microbenchmarking and Instruction-level Analysis. - David Sánchez, Luciano Zunino, Juan De Gregorio, Raúl Toral, Claudio R. Mirasso:
Universality and diversity in word patterns. - Emeson Santana, Gustavo Carneiro, Filipe R. Cordeiro:
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels. - Darius Saif, Ashraf Matrawy:
An Experimental Investigation of Tuning QUIC-Based Publish-Subscribe Architectures in IoT. - Zheng Li, Yiyong Liu, Xinlei He, Ning Yu, Michael Backes, Yang Zhang:
Auditing Membership Leakages of Multi-Exit Networks. - Utkarsha Agwan, Costas J. Spanos, Kameshwar Poolla:
Asset Participation and Aggregation in Incentive-Based Demand Response Programs. - Gelei Xu, Yawen Wu, Jingtong Hu, Yiyu Shi:
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization. - Vincent A. Cicirello:
On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection. - David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, Modesto Castrillón Santana:
Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events. - Weiting Tan, Philipp Koehn:
Bitext Mining for Low-Resource Languages via Contrastive Learning. - Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang:
Robustness to Unbounded Smoothness of Generalized SignSGD. - Weihao Xia, Yujiu Yang, Jing-Hao Xue:
GAN Inversion for Consistent Video Interpolation and Manipulation. - Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan:
FirmCore Decomposition of Multilayer Networks. - Adel Albshri, Ali Alzubaidi, Bakri Awaji, Ellis Solaiman:
Blockchain Simulators: A Systematic Mapping Study. - Andrea Gemelli, Emanuele Vivoli, Simone Marinai:
Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents. - Kate Qi Zhou, Yan Qin, Chau Yuen:
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization. - Adel Albshri, Bakri Awaji, Ellis Solaiman:
Investigating the Requirements for Building a Blockchain Simulator for IoT Applications. - Yuan Meng, Rajgopal Kannan, Viktor K. Prasanna:
Accelerating Monte-Carlo Tree Search on CPU-FPGA Heterogeneous Platform. - Davide del Bimbo, Andrea Gemelli, Simone Marinai:
Data augmentation on graphs for table type classification. - Michael Garrett Bechtel, Qitao Weng, Heechul Yun:
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems. - Juyang Weng:
Why Deep Learning's Performance Data Are Misleading. - Farhad Aghili:
Autonomous Driving Vehicles Using Adaptive Learning Method for Data Fusion. - Shenglong Zhou, Geoffrey Ye Li:
Exact Penalty Method for Federated Learning. - Jessica L. Wert, Pooria Dehghanian, Jonathan Snodgrass, Thomas J. Overbye:
The Effects of Correctly Modeling Generator Step-Up Transformer Status in Geomagnetic Disturbance Studies. - Sergey Matskevich, Colin S. Gordon:
Preprocessing Source Code Comments for Linguistic Models. - B. N. Kausik:
Psychophysical Machine Learning. - Samuel Epstein:
The Kolmogorov Birthday Paradox. - Wolfgang Jeltsch, Javier Díaz:
Your Blockchain Needn't Care How the Message is Spread. - Hunsoo Song, Jinha Jung:
A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually. - Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang:
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion. - Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin:
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution. - Sidharth Malhotra, Robin Walters:
Secondary Protein Structure Prediction Using Neural Networks. - Sungho Chun, Sungbum Park, Ju Yong Chang:
Learnable human mesh triangulation for 3D human pose and shape estimation. - Taoyuanmin Zhu, Gabriel I. Fernandez, Colin Togashi, Yeting Liu, Dennis W. Hong:
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes. - Min Wang, Ata Mahjoubfar, Anupama Joshi:
FashionVQA: A Domain-Specific Visual Question Answering System. - Bulat Nasrulin, Martijn de Vos, Georgy Ishmaev, Johan Pouwelse:
Gromit: Benchmarking the Performance and Scalability of Blockchain Systems. - Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. - Wonhui Park, Dongkwon Jin, Chang-Su Kim:
Applying Eigencontours to PolarMask-Based Instance Segmentation. - Lyuyang Tong:
Differential evolution variants for Searching D- and A-optimal designs. - Shahroz Tariq, Binh Minh Le, Simon S. Woo:
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability. - Xiaofan Yu, Yunhui Guo, Sicun Gao, Tajana Rosing:
SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. - Xinyu Zhu, Yongliang Shen, Weiming Lu:
Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction. - Ehab ElSalamouny, Catuscia Palamidessi:
Reconstruction of the distribution of sensitive data under free-will privacy. - Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Xuemin Sherman Shen:
Adaptive Resource Allocation in Quantum Key Distribution (QKD) for Federated Learning. - Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. - Naoyuki Kamiyama:
Strongly Stable Matchings under Matroid Constraints. - Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. - Sariel Har-Peled, Da Wei Zheng:
Halving by a Thousand Cuts or Punctures. - Yushan Li, Jianping He, Cailian Chen, Xinping Guan:
Inferring Topology of Networked Dynamical Systems by Active Excitations. - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis. - Setu Kumar Basak, Lorenzo Neil, Bradley Reaves, Laurie A. Williams:
What are the Practices for Secret Management in Software Artifacts? - Joseph Aylett-Bullock, Miguel A. Luengo-Oroz:
Multi-AI Complex Systems in Humanitarian Response. - Wei Chen, Jinglong Du, Zhao Zhang, Fuzhen Zhuang, Zhongshi He:
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis. - Nithin Gopalakrishnan Nair, Kangfu Mei, Vishal M. Patel:
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models. - Nikhil Bansal, Haotian Jiang, Raghu Meka:
Resolving Matrix Spencer Conjecture Up to Poly-logarithmic Rank. - Xiao Zang, Miao Yin, Lingyi Huang, Jingjin Yu, Saman A. Zonouz, Bo Yuan:
Robot Motion Planning as Video Prediction: A Spatio-Temporal Neural Network-based Motion Planner. - Håkon Hoel, Sankarasubramanian Ragunathan:
Higher-order adaptive methods for exit times of Itô diffusions. - Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah:
ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels. - Ziming Li, Yiming Luo, Jialin Wang, Yushan Pan, Lingyun Yu, Hai-Ning Liang:
Collaborative Remote Control of Unmanned Ground Vehicles in Virtual Reality. - Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata:
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. - Simon Klenk, Lukas Koestler, Davide Scaramuzza, Daniel Cremers:
E-NeRF: Neural Radiance Fields from a Moving Event Camera. - Xinnian Liang, Chenhao Cui, Shuangzhi Wu, Jiali Zeng, Yufan Jiang, Zhoujun Li:
Modeling Paragraph-Level Vision-Language Semantic Alignment for Multi-Modal Summarization. - Hyang-Sook Lee, Seongan Lim, Ikkwon Yie, Aaram Yun:
On Privacy Preserving Data Aggregation Protocols using BGN cryptosystem. - Kazuo Misue:
Improved Scheduling of Morphing Edge Drawing. - Qi Lv, Ziqiang Cao, Wenrui Xie, Derui Wang, Jingwen Wang, Zhiyong Hu, Tangkun Zhang, Yuan Ba, Yuanhang Li, Min Cao, Wenjie Li, Sujian Li, Guohong Fu:
Visual Subtitle Feature Enhanced Video Outline Generation. - Evgenii Indenbom, Nicolae-Catalin Ristea, Ando Saabas, Tanel Pärnamaa, Jegor Guzvin:
Deep model with built-in self-attention alignment for acoustic echo cancellation. - Chunying Ren, Zijun Wu, Dachuan Xu, Xiaoguang Yang:
ρ/(1-ε)-approximate pure Nash equilibria algorithms for weighted congestion games and their runtimes. - Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois C. Knoll:
Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments. - Jun-Sang Yoo, Dong-Wook Kim, Yucheng Lu, Seung-Won Jung:
RZSR: Reference-based Zero-Shot Super-Resolution with Depth Guided Self-Exemplars. - Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim:
Modality Mixer for Multi-modal Action Recognition. - Martinus Grady Naftali, Jason Sebastian Sulistyawan, Kelvin Julian:
Comparison of Object Detection Algorithms for Street-level Objects. - Malte Breuer, Pascal Hein, Leonardo Pompe, Ben Temme, Ulrike Meyer, Susanne Wetzel:
Solving the Kidney Exchange Problem Using Privacy-Preserving Integer Programming. - Mengdi Zhang, Jun Sun, Jingyi Wang, Bing Sun:
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination. - Kohei Morita, Shinya Shiroshita, Yutaro Yamaguchi, Yu Yokoi:
Maintaining Optimality in Assignment Problem against Weight Updates around Vertices. - Yugeng Huang, Haitao Liu, Tian Huang:
Robust Motion Averaging for Multi-view Registration of Point Sets Based Maximum Correntropy Criterion. - Weixi Zhao, Weiqiang Wang:
K-Order Graph-oriented Transformer with GraAttention for 3D Pose and Shape Estimation. - Sijie Ji, Mo Li:
Enhancing Deep Learning Performance of Massive MIMO CSI Feedback. - Henri Arno, Klaas Mulier, Joke Baeck, Thomas Demeester:
Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselines. - Djibrilla Amadou Kountché, Fatma Raissi, Mandimby N. Ranaivo Rakotondravelona, Edoardo Bonetto, Daniele Brevi, Ángel Martín, Oihana Otaegui, Gorka Vélez:
Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach. - Anthony Fillion, Thibaut Kulak, François Blayo:
A Bayesian Variational principle for dynamic Self Organizing Maps. - Marco Avvenuti, Marco Bongiovanni, Luca Ciampi, Fabrizio Falchi, Claudio Gennaro, Nicola Messina:
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting. - Markus Hecher:
Advanced Tools and Methods for Treewidth-Based Problem Solving - Extended Abstract. - Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung:
Discovering Transferable Forensic Features for CNN-generated Images Detection. - Alexander Genser, Michail A. Makridis, Kaidi Yang, Lukas Ambühl, Mónica Menéndez, Anastasios Kouvelas:
Time-to-Green predictions for fully-actuated signal control systems with supervised learning. - Xuecheng Wu, Mengmeng Tian, Lanhang Zhai:
ICANet: A Method of Short Video Emotion Recognition Driven by Multimodal Data. - Junda Chen:
Formation control with connectivity assurance for missile swarm: a natural co-evolutionary strategy approach. - Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. - Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. - Yuebao Yang, Jingyi Yang, Mingtao Li:
Ai4EComponentLib.jl: A Component-base Model Library in Julia. - Xuecheng Wu, Mengmeng Tian, Lanhang Zhai:
Research on Mask Wearing Detection of Natural Population Based on Improved YOLOv4. - Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Zichen Tian, Jingyi Zhang, Shijian Lu:
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors. - Yuan Gao, Siman Yang:
Singleton-optimal (r, δ)-LRCs via some good polynomials of special forms. - Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang:
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. - Guilherme Dean Pelegrina, Leonardo Tomazeli Duarte:
A novel approach for Fair Principal Component Analysis based on eigendecomposition. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: V. Fourier series multiscale solution for elastic bending of Reissner plates on Pasternak foundations. - Raphaël Pagès:
Factoring differential operators over algebraic curves in positive characteristic. - Frieder Uhlig, Lukas Struppek, Dominik Hintersdorf, Kristian Kersting:
Transformer-Boosted Anomaly Detection with Fuzzy Hashes. - Stefan Kutschera, Wilhelm Zugaj, Wolfgang Slany:
Appraisal of a Random Bit Generator Utilizing Smartphone Sensors as Entropy Source. - Philip Bille, Inge Li Gørtz, Simon J. Puglisi, Simon R. Tarnow:
Hierarchical Relative Lempel-Ziv Compression. - Marcela Carvalho, Oussama Ennaffi, Sylvain Chateau, Samy Ait Bachir:
On the Design of Privacy-Aware Cameras: a Study on Deep Neural Networks. - Vijaya Krishna Yalavarthi, Johannes Burchert, Lars Schmidt-Thieme:
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series. - Govind S. Sankar, Anand Louis, Meghana Nasre, Prajakta Nimbhorkar:
Matchings Under Diversity Constraints. - Yoji Tomita, Riku Togashi, Daisuke Moriwaki:
Matching Theory-based Recommender Systems in Online Dating. - Zhiyuan Yao, Yoann Desmouceaux, Juan Antonio Cordero Fuertes, Mark Townsley, Thomas Heide Clausen:
Efficient Data-Driven Network Functions. - Doris Antensteiner, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth:
WiCV 2022: The Tenth Women In Computer Vision Workshop. - Felix Liu, Måns I. Andersson, Albin Fredriksson, Stefano Markidis:
Distributed Objective Function Evaluation for Optimization of Radiation Therapy Treatment Plans. - Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li:
Event-based Image Deblurring with Dynamic Motion Awareness. - Seyed Mohammadhossein Tabatabaee, Anne Bouillard, Jean-Yves Le Boudec:
Worst-case Delay Analysis of Time-Sensitive Networks with Deficit Round-Robin. - Mohammadreza Amirian, Friedhelm Schwenker:
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. - Paul Primus, Gerhard Widmer:
Improved Zero-Shot Audio Tagging & Classification with Patchout Spectrogram Transformers. - Felix Haag, Konstantin Hopf, Pedro Menelau Vasconcelos, Thorsten Staake:
Augmented cross-selling through explainable AI - a case from energy retailing. - Ángel Martín, Daniel Mejías, Zaloa Fernández, Roberto Viola, Josu Pérez, Mikel García, Gorka Vélez, Jon Montalban, Pablo Angueira:
Adaptive QoS of WebRTC for Vehicular Media Communications. - Johanna Frischauf, Martin Pfurner, Daniel F. Scharler, Hans-Peter Schröcker:
A Multi-Bennett 8R Mechanism Obtained From Factorization of Bivariate Motion Polynomials. - Jacqueline Wastensteiner, Tobias Michael Weiss, Felix Haag, Konstantin Hopf:
Explainable AI for tailored electricity consumption feedback - an experimental evaluation of visualizations. - Carla Binucci, Walter Didimo, Maurizio Patrignani:
st-Orientations with Few Transitive Edges. - Changqing Su, Yuhan Gao, You Zhou, Yaoqi Sun, Chenggang Yan, Haibing Yin, Bo Xiong:
AutoDeconJ: a GPU accelerated ImageJ plugin for 3D light field deconvolution with optimal iteration numbers predicting. - Peter Opsomer, Daan Huybrechs:
Arbitrary-order asymptotic expansions of Gaussian quadrature rules with classical and generalised weight functions. - Manel Farhat, Houda Chaabouni-Chouayakh, Achraf Ben-Hamadou:
Self-Supervised Endoscopic Image Key-Points Matching. - Sai Krishna Chada, Daniel Görges, Achim Ebert, Roman Teutsch, Shreevatsa Puttige Subramanyaa:
Evaluation of the Driving Performance and User Acceptance of a Predictive Eco-Driving Assistance System. - Cheng Han, Qichao Zhao, Shuyi Zhang, Yinzi Chen, Zhenlin Zhang, Jinwei Yuan:
YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception. - Yuwei Sun, Hideya Ochiai:
UniCon: Unidirectional Split Learning with Contrastive Loss for Visual Question Answering. - Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann:
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. - Adrian Wiltz, Fei Chen, Dimos V. Dimarogonas:
A Consistency Constraint-Based Approach to Coupled State Constraints in Distributed Model Predictive Control. - Kalana Abeywardena, Shechem Sumanthiran, Sanoojan Baliah, Nadarasar Bahavan, Nalith Udugampola, Ajith A. Pasqual, Chamira U. S. Edussooriya, Ranga Rodrigo:
Dynamic Template Initialization for Part-Aware Person Re-ID. - Shrey Jain, Leon Erichsen, Glen Weyl:
A Plural Decentralized Identity Frontier: Abstraction v. Composability Tradeoffs in Web3. - Bodo Manthey, Jesse van Rhijn:
Towards a Lower Bound for the Average Case Runtime of Simulated Annealing on TSP. - Mirelle Bueno, Carlos Gemmel, Jeffrey Dalton, Roberto A. Lotufo, Rodrigo Nogueira:
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models. - Stefan Güttel, Marcel Schweitzer:
Randomized sketching for Krylov approximations of large-scale matrix functions. - Karen Wintersperger, Hila Safi, Wolfgang Mauerer:
QPU-System Co-Design for Quantum HPC Accelerators. - Puneet Kumar, Sarthak Malik, Balasubramanian Raman:
Hybrid Fusion Based Interpretable Multimodal Emotion Recognition with Insufficient Labelled Data. - Qianqian Shen, Yanan Li, Jiyong Jin, Bin Liu:
Q-Net: Query-Informed Few-Shot Medical Image Segmentation. - Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang:
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. - Taisuke Izumi, Yuval Emek, Tadashi Wadayama, Toshimitsu Masuzawa:
Deterministic Fault-Tolerant Connectivity Labeling Scheme with Adaptive Query Processing Time. - Paul Primus, Gerhard Widmer:
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations. - Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang:
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. - Jinge Wu, Rowena Smith, Honghan Wu:
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. - Peter Hirsch, Caroline Malin-Mayor, Anthony Santella, Stephan Preibisch, Dagmar Kainmueller, Jan Funke:
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages. - Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt:
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy. - Maciej Besta, Cesare Miglioli, Paolo Sylos Labini, Jakub Tetek, Patrick Iff, Raghavendra Kanakagiri, Saleh Ashkboos, Kacper Janda, Michal Podstawski, Grzegorz Kwasniewski, Niels Gleinig, Flavio Vella, Onur Mutlu, Torsten Hoefler:
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations. - Hongwei Xu, Suncheng Xiang, Dahong Qian:
SubFace: Learning with Softmax Approximation for Face Recognition. - Aly Mostafa, Omar Mohamed, Ali Ashraf, Ahmed Elbehery, Salma Jamal, Anas Salah, Amr S. Ghoneim:
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics. - Eyal Weiss, Gal A. Kaminka:
A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates. - Lorenzo Valentini, Marco Chiani, Enrico Paolini:
A Joint PHY and MAC Layer Design for Coded Random Access with Massive MIMO. - Jianlong Yuan, Jinchao Ge, Qi Qian, Zhibin Wang, Fan Wang, Yifan Liu:
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation. - Seungwon Song, Hyungtae Lim, Alex Junho Lee, Hyun Myung:
DynaVINS: A Visual-Inertial SLAM for Dynamic Environments. - Zhengyang Tang, Benyou Wang, Ting Yao:
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval. - Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. - Taewook Ko:
A Graph Convolution for Signed Directed Graphs. - Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan:
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting. - Maarten J. van den Broek, Delphine De Tavernier, Benjamin Sanderse, Jan-Willem van Wingerden:
Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model. - Seungyeop Kang, Kyeong Soo Kim:
Theoretical and Practical Bounds on the Initial Value of Skew-Compensated Clock for Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss. - Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky W. Keung:
Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer. - Darshan Ganganna Ravindra, Laslo Dinges, Ayoub Al-Hamadi, Vasili Baranau:
Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications. - Mahsa Asadi, Aurélien Bellet, Odalric-Ambrym Maillard, Marc Tommasi:
Collaborative Algorithms for Online Personalized Mean Estimation. - Wen Yang, Rui Wang, Yanchao Zhang:
A novel method for data augmentation: Nine Dot Moving Least Square (ND-MLS). - Hye-Jin Park, Young-Ju Choi, Young-Woon Lee, Byung-Gyu Kim:
ssFPN: Scale Sequence (S^2) Feature Based-Feature Pyramid Network for Object Detection. - Brieuc Pinon, Jean-Charles Delvenne, Raphaël M. Jungers:
A model-based approach to meta-Reinforcement Learning: Transformers and tree search. - Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
PeRFception: Perception using Radiance Fields. - Nicolai Häni, Volkan Isler:
Visual Servoing in Orchard Settings. - Abhishek Gupta, Raunak Joshi, Nandan Kanvinde, Pinky Gerela, Ronald Melwin Laban:
Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor. - Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal:
A methodology for identifying resiliency in renewable electrical distribution system using complex network. - Huiyue Yi, Yan Xu, Wuxiong Zhang, Hui Xu:
Iterative Adaptively Regularized LASSO-ADMM Algorithm for CFAR Estimation of Sparse Signals: IAR-LASSO-ADMM-CFAR Algorithm. - Shima Shahfar, Charalambos Poullis:
Unsupervised Structure-Consistent Image-to-Image Translation. - Lumin Xu, Sheng Jin, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang:
ZoomNAS: Searching for Whole-body Human Pose Estimation in the Wild. - Michael Weiss:
CheapET-3: Cost-Efficient Use of Remote DNN Models. - Avinash Madasu, Estelle Aflalo, Gabriela Ben Melech Stan, Shao-Yen Tseng, Gedas Bertasius, Vasudev Lal:
Improving video retrieval using multilingual knowledge transfer. - Hasra Dodampegama, Mohan Sridharan:
Toward a Reasoning and Learning Architecture for Ad Hoc Teamwork. - Alessandro Daniele, Tommaso Campari, Sagar Malhotra, Luciano Serafini:
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions. - Samuel Epstein:
22 Examples of Solution Compression via Derandomization. - Nicolai Häni, Pravakar Roy, Volkan Isler:
Apple Counting using Convolutional Neural Networks. - Piotr Pomorski, Denise Gorse:
Improving on the Markov-Switching Regression Model by the Use of an Adaptive Moving Average. - Elias Frantar, Dan Alistarh:
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning. - Juliane Schmüser, Noah Wöhler, Harshini Sri Ramulu, Christian Stransky, Dominik Wermke, Sascha Fahl, Yasemin Acar:
"Please help share!": Security and Privacy Advice on Twitter during the 2022 Russian Invasion of Ukraine. - Haiyue Yuan, Enes Altuncu, Shujun Li, Can Baskent:
Graphical Models of False Information and Fact Checking Ecosystems. - Alexandre M. F. Dias, Luís Simões, Plinio Moreno, Alexandre Bernardino:
Active Gaze Control for Foveal Scene Exploration. - Parual Datta, Nilesh A. Ahuja, V. Srinivasa Somayazulu, Omesh Tickoo:
A Low-Complexity Approach to Rate-Distortion Optimized Variable Bit-Rate Compression for Split DNN Computing. - Bingde Liu:
Motion Robust High-Speed Light-weighted Object Detection with Event Camera. - Laura Elena Cue La Rosa, Dário A. B. Oliveira, Pedram Ghamisi:
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery. - Kassem Rammal, Bassam Mourad, Hassan Abbas, Hassan Issa:
On a numerical construction of doubly stochastic matrices with prescribed eigenvalues. - Dongbin Na, Sangwoo Ji, Jong Kim:
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries. - Cristóbal A. Navarro, Felipe A. Quezada, Benjamin Bustos, Nancy Hitschfeld, Rolando Kindelan:
A Scalable and Energy Efficient GPU Thread Map for m-Simplex Domains. - Yuhong Lu, Nicholas Polydorides:
Generative Adversarial Network (GAN) based Image-Deblurring. - Tao Guo, Song Guo, Junxiao Wang, Wenchao Xu:
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models - Federated Learning in Age of Foundation Model. - Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao:
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. - Yuanpeng Li:
On a Built-in Conflict between Deep Learning and Systematic Generalization. - Claudio De Persis, Romain Postoyan, Pietro Tesi:
Event-triggered Control From Data. - Julius Gonsior, Maik Thiele, Wolfgang Lehner:
ImitAL: Learned Active Learning Strategy on Synthetic Data. - Muhammad Aneeq uz Zaman, Alec Koppel, Sujay Bhatt, Tamer Basar:
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path. - Harshit Joshi, José Pablo Cambronero Sánchez, Sumit Gulwani, Vu Le, Ivan Radicek, Gust Verbruggen:
Repair Is Nearly Generation: Multilingual Program Repair with LLMs. - Dario Fontanel, Matteo Tarantino, Fabio Cermelli, Barbara Caputo:
Detecting the unknown in Object Detection. - Jan Krajícek:
On the existence of strong proof complexity generators. - Cyril Chhun, Pierre Colombo, Chloé Clavel, Fabian M. Suchanek:
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation. - Di Fu, Fares Abawi, Erik Strahl, Stefan Wermter:
Judging by the Look: The Impact of Robot Gaze Strategies on Human Cooperation. - Kai Liang, Jun Wang, Abhir Bhalerao:
Lane Change Classification and Prediction with Action Recognition Networks. - Mohamad Zamini, Hassan Reza, Minou Rabiei:
A Review of Knowledge Graph Completion. - Bogdan Cretu, Andrew Cropper:
Constraint-driven multi-task learning. - Liang Du, Xiaoqing Ye, Xiao Tan, Edward Johns, Bo Chen, Errui Ding, Xiangyang Xue, Jianfeng Feng:
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network. - Samuel Westby, Christoph Riedl:
Collective Intelligence in Human-AI Teams: A Bayesian Theory of Mind Approach. - Alessio Xompero, Andrea Cavallaro:
Cross-Camera View-Overlap Recognition. - Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. - Jamie Menjay Lin, Siargey Pisarchyk, Juhyun Lee, David Tian, Tingbo Hou, Karthik Raveendran, Raman Sarokin, George Sung, Trent Tolley, Matthias Grundmann:
Efficient Heterogeneous Video Segmentation at the Edge. - Joshua Bundt, Michael Davinroy, Ioannis Agadakos, Alina Oprea, William Robertson:
Attacking Neural Binary Function Detection. - Dimitris Stripelis, Umang Gupta, Nikhil J. Dhinagar, Greg Ver Steeg, Paul M. Thompson, José Luis Ambite:
Towards Sparsified Federated Neuroimaging Models via Weight Pruning. - Yixiao Zhang, Junyan Jiang, Gus Xia, Simon Dixon:
Interpreting Song Lyrics with an Audio-Informed Pre-trained Language Model. - Xiaoshuai Fan, Xin Li, Zhibo Chen:
Learned Lossless JPEG Transcoding via Joint Lossy and Residual Compression. - Zuguang Gu:
On the Dependency Heaviness of CRAN/Bioconductor Ecosystem. - Arnaud Mazier, Sidaty El Hadramy, Jean-Nicolas Brunet, Jack S. Hale, Stéphane Cotin, Stéphane P. A. Bordas:
SOniCS: Develop intuition on biomechanical systems through interactive error controlled simulations. - Lorenzo Miretti, Emil Björnson, David Gesbert:
Team Precoding Towards Scalable Cell-free Massive MIMO Networks. - D. Maneesh Reddy, Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal:
Data-Driven Approach to form Energy Resilient Smart Microgrids with Identification of Vulnerable Nodes in Active Electrical Distribution Network. - Fernanda B. J. R. Dallaqua, Álvaro Luiz Fazenda, Fábio Augusto Faria:
ForestEyes Project: Conception, Enhancements, and Challenges. - Jake Gonzalez, Ngan V. T. Nguyen, Tommy Dang:
VisFCAC: An Interactive Family Clinical Attribute Comparison. - Honglu Jiang, Haotian Yu, Xiuzhen Cheng, Jian Pei, Robert Pless, Jiguo Yu:
DP2-Pub: Differentially Private High-Dimensional Data Publication with Invariant Post Randomization. - Alexandra Sasha Luccioni, David Rolnick:
Bugs in the Data: How ImageNet Misrepresents Biodiversity. - Jinge Wu, Rowena Smith, Honghan Wu:
Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets. - Mocho Go, Hideyuki Tachibana:
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window. - Xinran Liu, Yikun Bai, Yuzhe Lu, Andrea Soltoggio, Soheil Kolouri:
Wasserstein Task Embedding for Measuring Task Similarities. - Yue Zhao, Leman Akoglu:
Towards Unsupervised HPO for Outlier Detection. - Henning S. Mortveit, Ryan Pederson:
Attractor Stability in Finite Asynchronous Biological System Models. - Ruochen Yin, Huapeng Wu, Ming Li, Yong Cheng, Yuntao Song, Heikki Handroos:
Mastering Autonomous Assembly in Fusion Application with Learning-by-doing: a Peg-in-hole Study. - Qiyuan Chen, Raed Al Kontar, Maher Nouiehed, Xi Jessie Yang, Corey A. Lester:
Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation. - Guangyao Dou, Zheng Zhou:
EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis. - Aline Weber, Blossom Metevier, Yuriy Brun, Philip S. Thomas, Bruno Castro da Silva:
Enforcing Delayed-Impact Fairness Guarantees. - Shantenu Jha, Vincent R. Pascuzzi, Matteo Turilli:
AI-coupled HPC Workflows. - Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho:
Entropy Regularization for Population Estimation. - Zheng Chen, Yura Malitsky:
Over-the-Air Computation with Multiple Receivers: A Space-Time Approach. - Tahir Javed, Kaushal Santosh Bhogale, Abhigyan Raman, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages. - Josef B. Spjut, Arjun Madhusudan, Benjamin Watson, Ben Boudaoud, Joohwan Kim:
The Esports Frontier: Rendering for Competitive Games. - Brian DeCann, Kirill Trapeznikov:
Comprehensive Dataset of Face Manipulations for Development and Evaluation of Forensic Tools. - Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev:
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation. - John S. Hyatt:
Maximum Likelihood on the Joint (Data, Condition) Distribution for Solving Ill-Posed Problems with Conditional Flow Models. - Ioannis Anagnostides, Dimitris Fotakis, Panagiotis Patsilinakos:
Sampling and Optimal Preference Elicitation in Simple Mechanisms. - Hanqi Yan, Lin Gui, Wenjie Li, Yulan He:
Addressing Token Uniformity in Transformers via Singular Value Transformation. - Corwin Sinnamon, Robert E. Tarjan:
A Simpler Proof that Pairing Heaps Take O(1) Amortized Time per Insertion. - Nicholas Hoell:
A Survey of Open Source Automation Tools for Data Science Predictions. - Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. - Shuangyang Li:
Orthogonal Time Frequency Space (OTFS) Modulation for Wireless Communications. - Michael Correll:
Are We Making Progress In Visualization Research? - Hallison Paz, Tiago Novello, Vinícius da Silva, Luiz Schirmer, Guilherme G. Schardong, Fabio Chagas, Hélio Lopes, Luiz Velho:
Multiresolution Neural Networks for Imaging. - Haocong Rao, Chunyan Miao:
Skeleton Prototype Contrastive Learning with Multi-Level Graph Relation Modeling for Unsupervised Person Re-Identification. - Bo Tang, Petre Stoica:
MIMO Multifunction RF Systems: Detection Performance and Waveform Design. - Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed:
Refine and Represent: Region-to-Object Representation Learning. - Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser M. Nasrabadi, Jeremy M. Dawson:
Benchmarking Human Face Similarity Using Identical Twins. - Yijie Xu, Runqi Xu:
Research on Interpolation and Data Fitting: Basis and Applications. - Niklas Ueter, Mario Günzel, Georg von der Brüggen, Jian-Jia Chen:
Parallel Path Progression DAG Scheduling. - Mingqi Shao, Chongkun Xia, Dongxu Duan, Xueqian Wang:
Polarimetric Inverse Rendering for Transparent Shapes Reconstruction. - Alessandro Abate, Yousif Almulla, James Fox, David Hyland, Michael J. Wooldridge:
Learning Task Automata for Reinforcement Learning using Hidden Markov Models. - Nathaniel Dean, Dilip Sarkar:
A Perturbation Resistant Transformation and Classification System for Deep Neural Networks. - Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo:
Unbiased Multi-Modality Guidance for Image Inpainting. - Elena Galbally, Adrian Piedra, Cynthia Brosque, Oussama Khatib:
Elly: A Real-Time Failure Recovery and Data Collection System for Robotic Manipulation. - Chengpei Wu, Yang Lou, Ruizi Wu, Wenwen Liu, Junli Li:
CNN-based Prediction of Network Robustness With Missing Edges. - Nima Tavangaran, Mingzhe Chen, Zhaohui Yang, Jose Mairton B. da Silva Jr., H. Vincent Poor:
On Differential Privacy for Federated Learning in Wireless Systems with Multiple Base Stations. - Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo:
High-Fidelity Image Inpainting with GAN Inversion. - Asif Newaz, Shahriar Hassan, Farhan Shahriyar Haq:
An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification. - Farhad Aghili:
Lidar SLAM for Autonomous Driving Vehicles. - Wesley P. Chan, Morgan Crouch, Khoa Cong Hoang, Charlie Chen, Nicole L. Robinson, Elizabeth A. Croft:
Design and Implementation of a Human-Robot Joint Action Framework using Augmented Reality and Eye Gaze. - Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. - Tuowen Zhao, Tobi Popoola, Mary W. Hall, Catherine Olschanowsky, Michelle Mills Strout:
Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-Iteration. - Jianhao Jiao, Hexiang Wei, Tianshuai Hu, Xiangcheng Hu, Yilong Zhu, Zhijian He, Jin Wu, Jingwen Yu, Xupeng Xie, Huaiyang Huang, Ruoyu Geng, Lujia Wang, Ming Liu:
FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms. - Zongren Zou, Xuhui Meng, Apostolos F. Psaros, George Em Karniadakis:
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators. - Chengdong Yao, Cuihua Wang:
Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2. - Puneet Kumar, Sarthak Malik, Balasubramanian Raman:
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data. - Zhe Huang, Mary-Joy Sidhom, Benjamin S. Wessler, Michael C. Hughes:
Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets. - Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. - ZhiXun Lu, Qihua Feng, Peiya Li:
A Privacy-Preserving and End-to-End-Based Encrypted Image Retrieval Scheme. - Yunpu Zhang, Changsheng You:
Multi-Hop Beam Routing for Hybrid Active/Passive IRS Aided Wireless Communications. - Rishikesh Kakade, Joey Chou, Shannon Torcato:
Vulnerability Analysis of Time Synchronization in Automotive Ethernet. - Lindon Roberts, Edward Smyth:
A simplified convergence theory for Byzantine resilient stochastic gradient descent. - Xiangyu Chen, Takeaki Yajima, Hisashi Inoue, Isao H. Inoue, Zolboo Byambadorj, Tetsuya Iizuka:
CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks. - Melissa E. Swift, Wyatt Ayers, Sophie Pallanck, Scott Wehrwein:
Visualizing the Passage of Time with Video Temporal Pyramids. - Abhilash Singh, J. Amutha, Jaiprakash Nagar, Sandeep Sharma:
A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks. - Mostafa Eghbali Zarch, Reece Neff, Michela Becchi:
Exploring Thread Coarsening on FPGA. - (Withdrawn) Lp-resolvent estimate for finite element approximation of the Stokes operator.
- Ming Jiang, Shaoxiong Ji:
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis. - Mohammad Tahaei, Kami Vaniea, Awais Rashid:
Embedding Privacy Into Design Through Software Developers: Challenges & Solutions. - Gayan K. Kulatilleke:
Credit card fraud detection - Classifier selection strategy. - Sophie Buckeridge, Pamela Carreno-Medrano, Akansel Cosgun, Elizabeth A. Croft, Wesley P. Chan:
Autonomous social robot navigation in unknown urban environments using semantic segmentation. - Gayan K. Kulatilleke, Sugandika Samarakoon:
Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data. - Yiming Wang, Qingzhe Gao, Libin Liu, Lingjie Liu, Christian Theobalt, Baoquan Chen:
Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors. - Ryohei Umatani, Takashi Imai, Kaoru Kawamoto, Shutaro Kunimasa:
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models. - Yizheng Ouyang, Tianjin Zhang, Weibo Gu, Hongfa Wang, Liming Wang, Xiaojie Guo:
Adaptive Perception Transformer for Temporal Action Localization. - Jinhong Kim, Yongjun Ahn, Byonghyo Shim:
Massive Data Generation for Deep Learning-aided Wireless Systems Using Meta Learning and Generative Adversarial Network. - Fengkui Ju:
A logical theory for conditional weak ontic necessity based on context update. - Chunyan Zeng, Shuai Kong, Zhifeng Wang, Xiangkui Wan, Yunfan Chen:
Digital Audio Tampering Detection Based on ENF Spatio-temporal Features Representation Learning. - Fengkui Ju:
A logical theory for strong and weak ontic necessities in branching time. - Shion Ishikawa, Young-joo Chung, Yu Hirate:
Dynamic collaborative filtering Thompson Sampling for cross-domain advertisements recommendation. - Arnd Hartmanns, Bram Kohlen:
Backwards Reachability for Probabilistic Timed Automata: A Replication Report. - Eren Cakmak, Johannes Fuchs, Dominik Jäckle, Tobias Schreck, Ulrik Brandes, Daniel A. Keim:
Motif-Based Visual Analysis of Dynamic Networks. - Jay Paul Morgan, Adeline Paiement, Christian Klinke:
Domain-informed graph neural networks: a quantum chemistry case study. - Nick Zhang:
Growth Rates of Knowledge. - Giovanni Denaro, Rahim Heydarov, Ali Mohebbi, Mauro Pezzè:
PREVENT: An Unsupervised Approach to Predict Software Failures in Production. - Rebecca M. C. Taylor, Johan A. du Preez:
Rail break and derailment prediction using Probabilistic Graphical Modelling. - Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo:
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. - Dominic Price, Kasper Peeters, Marija Zamaklar:
Hiding canonicalisation in tensor computer algebra. - Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner:
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks. - Yicheng Luo, Jing Ren, Xuefei Zhe, Di Kang, Yajing Xu, Peter Wonka, Linchao Bao:
Learning to Construct 3D Building Wireframes from 3D Line Clouds. - Francis R. A. Aznaran, Patrick E. Farrell, Charles W. Monroe, Alexander J. Van-Brunt:
Finite element methods for multicomponent convection-diffusion. - Muhammad Karam Shehzad, Luca Rose, Stefan Wesemann, Mohamad Assaad, Syed Ali Hassan:
Design of an Efficient CSI Feedback Mechanism in Massive MIMO Systems: A Machine Learning Approach using Empirical Data. - Yiming Bao, Xu Zhao, Dahong Qian:
FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation. - Calvin Luo:
Understanding Diffusion Models: A Unified Perspective. - Minghui Liwang, Xianbin Wang:
Overbook in Advance, Trade in Future: Computing Resource Provisioning in Hybrid Device-Edge-Cloud Networks. - Maria Marrium, Arif Mahmood:
Data Augmentation for Graph Data: Recent Advancements. - Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons. - Andrea Bedin, Federico Chiariotti, Andrea Zanella:
Joint Scheduling and Coding for Reliable, Latency-bounded Transmission over Parallel Wireless Links. - Nigel H. Collier, Fangyu Liu, Ehsan Shareghi:
On Reality and the Limits of Language Data. - Jiwei Zhang, Deepak Ajwani:
Learning to Prune Instances of Steiner Tree Problem in Graphs. - Milos Savic, Vladimir Kurbalija, Milos Radovanovic:
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings. - Weishu Liu, Haifeng Wang:
Citation premium: a much higher proportion of COVID-19 related publications become highly cited papers. - Yu Chen, Xu Cao, Xiaoyi Lin, Baoru Huang, Xiao-Yun Zhou, Jian-Qing Zheng, Guang-Zhong Yang:
A Compacted Structure for Cross-domain learning on Monocular Depth and Flow Estimation. - Ye Wang, Yujia Yang, Ye Pu, Chris Manzie:
Data-driven Predictive Tracking Control based on Koopman Operators. - Philipp Jeitner, Haya Schulmann, Lucas Teichmann, Michael Waidner:
XDRI Attacks - and - How to Enhance Resilience of Residential Routers. - Xiaolei Lang, Jiajun Lv, Jianxin Huang, Yukai Ma, Yong Liu, Xingxing Zuo:
Ctrl-VIO: Continuous-Time Visual-Inertial Odometry for Rolling Shutter Cameras. - Jérôme Droniou, Todd A. Oliynyk, Jia Jia Qian:
A polyhedral discrete de Rham numerical scheme for the Yang-Mills equations. - Sung Sik Nam, Changseok Yoon, Ki-Hong Park, Mohamed-Slim Alouini:
Technical Report: Development of an Ultrahigh Bandwidth Software-defined Radio Platform. - Krishna Kumar Mohbey, Gaurav Meena, Sunil Kumar, K. Lokesh:
A CNN-LSTM-based hybrid deep learning approach to detect sentiment polarities on Monkeypox tweets. - Likun Sui, Zihuai Lin, Pei Xiao, Branka Vucetic:
Performance Analysis for Reconfigurable Intelligent Surface Assisted MIMO Systems. - Jianbing Wu, Hong Liu, Wei Shi, Hao Tang, Jingwen Guo:
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification. - Leiyu Xie, Yang Sun, Jonathon A. Chambers, Syed Mohsen Naqvi:
Two-stage Fall Events Classification with Human Skeleton Data. - Mohammadreza Sabzehali, Amir Hossein Rabiee, Mahdi Alibeigi, Amir Mosavi:
Prediction of the energy and exergy performance of F135 PW100 turbofan engine via deep learning. - Kealan Dunnett, Shantanu Pal, Guntur Dharma Putra, Zahra Jadidi, Raja Jurdak:
A Trusted, Verifiable and Differential Cyber Threat Intelligence Sharing Framework using Blockchain. - George Giamougiannis, Apostolos Tsakyridis, Yangjin Ma, Angelina Totovic, David Lazovsky, Nikos Pleros:
Coherent photonic crossbar as a universal linear operator. - Xuqi Zhang, Fanqin Meng, Haiqi Liu, Xiaojing Shen, Yunmin Zhu:
Seamless Tracking of Group Targets and Ungrouped Targets Using Belief Propagation. - Stan Weixian Lei, Difei Gao, Jay Zhangjie Wu, Yuxuan Wang, Wei Liu, Mengmi Zhang, Mike Zheng Shou:
Symbolic Replay: Scene Graph as Prompt for Continual Learning on VQA Task. - Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu:
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. - Pouyan Nasiri, Roozbeh Dargazany:
Reduced-PINN: An Integration-Based Physics-Informed Neural Networks for Stiff ODEs. - Yuntao Wang, Haixia Peng, Zhou Su, Tom H. Luan, Abderrahim Benslimane, Yuan Wu:
A Platform-Free Proof of Federated Learning Consensus Mechanism for Sustainable Blockchains. - R. Nithya, K. Anitha:
Even vertex ζ-graceful labeling on Rough Graph. - Dominic Steinhöfel, Andreas Zeller:
Electronic Appendix to "Input Invariants". - Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse in GANs via Manifold Entropy Estimation. - Dietmar Jannach:
Evaluating Conversational Recommender Systems. - Varun Kanade, Elad Hazan, Adam Tauman Kalai:
Partial Matrix Completion. - Ildar Gilmutdinov, Ingrid Schloegel, Alois Hinterleitner, Peter Wonka, Michael Wimmer:
Assesment of material layers in building walls using GeoRadar. - Francesco Roscia, Andrea Cumerlotti, Andrea Del Prete, Claudio Semini, Michele Focchi:
Orientation Control System: Enhancing Aerial Maneuvers for Quadruped Robots. - Sohan Anisetty, Varsha Saravanabavan, Cai Yiyu:
Learning to regulate 3D head shape by removing occluding hair from in-the-wild images. - Taohua Zhou, Yining Shi, Junjie Chen, Kun Jiang, Mengmeng Yang, Diange Yang:
Bridging the View Disparity of Radar and Camera Features for Multi-modal Fusion 3D Object Detection. - Barack Wamkaya Wanjawa, Lilian Wanzare, Florence Indede, Owen McOnyango, Edward Ombui, Lawrence Muchemi:
Kencorpus: A Kenyan Language Corpus of Swahili, Dholuo and Luhya for Natural Language Processing Tasks. - Adam Fisch, Tommi S. Jaakkola, Regina Barzilay:
Calibrated Selective Classification. - Ahmed Heakl, Abdelrahman Abdelgawad, Victor Parque:
A Study on Broadcast Networks for Music Genre Classification. - Manuel R. Ciosici, Leon Derczynski:
Training a T5 Using Lab-sized Resources. - Dave Dykstra:
Apptainer Without Setuid. - Stefan Felsner, Sandro Roch, Manfred Scheucher:
Arrangements of Pseudocircles: On Digons and Triangles. - Alessandro Fantechi, Gloria Gori, Marco Papini:
Runtime reliability monitoring for complex fault-tolerance policies. - Azadeh Farzan, Umang Mathur:
Coarser Equivalences for Concurrent Program Runs. - Ankur Sinha, Satender Gunwal, Shivam Kumar:
A Globally Convergent Gradient-based Bilevel Hyperparameter Optimization Method. - Lars Holmberg:
Towards Benchmarking Explainable Artificial Intelligence Methods. - Yuci Han, Jianli Wei, Alper Yilmaz:
UAS Navigation in the Real World Using Visual Observation. - Shubham Gupta, Srikanta Bedathur:
A Survey on Temporal Graph Representation Learning and Generative Modeling. - Takeharu Shiraga, Shuji Kijima:
An analysis of load-balancing algorithms on edge-Markovian evolving graphs. - Sicheng Yang, Zhiyong Wu, Minglei Li, Mengchen Zhao, Jiuxin Lin, Liyang Chen, Weihong Bao:
The ReprGesture entry to the GENEA Challenge 2022. - Daniel Selvaratnam, Michael Cantoni, Chris Manzie:
Explicit Time-Optimal Acceleration-Constrained Speed Profiles for Planar Paths with Monotone Curvature. - Paulina Stevia Nouwou Mindom, Amin Nikanjam, Foutse Khomh:
A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks. - Mohamed Awadalla, François Bouffard:
Influence of Stochastic Dependence on Network Constraints Screening for Unit Commitment. - Delano Oliveira, Reydne Bruno, Fernanda Madeiral, Hidehiko Masuhara, Fernando Castor:
A Systematic Literature Review on the Impact of Formatting Elements on Program Understandability. - Vittorio Orbinato, Mariarosaria Barbaraci, Roberto Natella, Domenico Cotroneo:
Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study. - Yang Jing, Jiaheng Chen, Lei Li, Jianfeng Lu:
A deep learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation. - Pui-Wai Ma, T.-H. Hubert Chan:
A Feedforward Unitary Equivariant Neural Network. - Guillaume Deffuant, Thibaut Roubin:
Emergence of group hierarchy. - Ioannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos, Spiros V. Georgakopoulos:
Supervised Dimensionality Reduction and Classification with Convolutional Autoencoders. - Gautham Vinod, Zeman Shao, Fengqing Zhu:
Image Based Food Energy Estimation With Depth Domain Adaptation. - Zhen Qiu, Yifan Zhang, Fei Li, Xiulan Zhang, Yanwu Xu, Mingkui Tan:
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification. - Jiachuan Peng, Peilun Shi, Jianing Qiu, Xinwei Ju, Frank P.-W. Lo, Xiao Gu, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A. McCrory, Edward Sazonov, Mingui Sun, Gary S. Frost, Benny Lo:
Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning. - Sergei P. Stepanov, Denis Spiridonov, Tina Mai:
Prediction of numerical homogenization using deep learning for the Richards equation. - Marcelo Fransoy, Fernando Pinciroli:
Sistematic mapping protocol - estimation accuracy on software development using agile technologies. - Varvara Kazhberova, Alexander G. Chkhartishvili, Dmitry A. Gubanov, Ivan V. Kozitsin, Evgeny Belyavsky, Denis N. Fedyanin, Sergey Cherkasov, Dmitry Meshkov:
Aggression and "hate speech" in communication of media users: analysis of control capabilities. - Ahmet Soyyigit, Shuochao Yao, Heechul Yun:
Anytime-Lidar: Deadline-aware 3D Object Detection. - Mahdi Hejrati, Jouni Mattila:
Decentralized Nonlinear Control of Redundant Upper Limb Exoskeleton with Natural Adaptation Law. - Lucas R. Hofer, Milan Krstajic, Robert P. Smith:
JAXFit: Trust Region Method for Nonlinear Least-Squares Curve Fitting on the GPU. - Ben Adcock, Juan M. Cardenas, Nick C. Dexter:
CAS4DL: Christoffel Adaptive Sampling for function approximation via Deep Learning. - Yue Wu, Jesús A. De Loera:
Turning Mathematics Problems into Games: Reinforcement Learning and Gröbner bases together solve Integer Feasibility Problems. - Meir Goldenberg:
ExpoCloud: a Framework for Time and Budget-Effective Parameter Space Explorations Using a Cloud Compute Engine. - Sarat Chandra Varanasi, Baoluo Meng, Christopher C. Alexander, Szabolcs Borgyos, Brendan Hall:
Automating UAV Flight Readiness Approval using Goal-Directed Answer Set Programming. - Sakib Mahmud, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M. Murugappan, Mohammed Alhatou:
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. - Ilaria Manco, Emmanouil Benetos, Elio Quinton, György Fazekas:
Contrastive Audio-Language Learning for Music. - Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. - Somnath Basu Roy Chowdhury, Snigdha Chaturvedi:
Sustaining Fairness via Incremental Learning. - Juergen Mangler, Stefanie Rinderle-Ma:
Cloud Process Execution Engine: Architecture and Interfaces. - Shyam Murthy, Srinivas Vivek:
Passive Triangulation Attack on ORide. - Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer:
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives. - Elias Jääsaari, Michelle Ma, Ameet Talwalkar, Tianqi Chen:
SONAR: Joint Architecture and System Optimization Search. - Diana Sola, Christian Warmuth, Bernhard Schäfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik:
SAP Signavio Academic Models: A Large Process Model Dataset. - David Chapela-Campa, Marlon Dumas:
Repairing Activity Start Times to Improve Business Process Simulation. - Michell F. Queiroz, Flavien Lucas, Kenneth Sörensen:
Instance generation tool for on-demand transportation problems. - Julia Gaudio, Nirmit Joshi:
Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix. - Xinyi Wang, Simon Yusuf Enoch, Dong Seong Kim:
Semantic Preserving Adversarial Attack Generation with Autoencoder and Genetic Algorithm. - Stepan Dergachev, Konstantin S. Yakovlev:
Towards A Complete Multi-Agent Pathfinding Algorithm For Large Agents. - Kosmas Pinitas, Konstantinos Makantasis, Antonios Liapis, Georgios N. Yannakakis:
Supervised Contrastive Learning for Affect Modelling. - Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, Kfir Aberman:
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. - Dmitrijs Trizna:
Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations. - Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg:
Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands. - Jianli Wei, Deniz Karakay, Alper Yilmaz:
A Gis Aided Approach for Geolocalizing an Unmanned Aerial System Using Deep Learning. - Yutong Bai, Zeyu Wang, Junfei Xiao, Chen Wei, Huiyu Wang, Alan L. Yuille, Yuyin Zhou, Cihang Xie:
Masked Autoencoders Enable Efficient Knowledge Distillers. - Rui Wang, Zuxuan Wu, Dongdong Chen, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Luowei Zhou, Lu Yuan, Yu-Gang Jiang:
Video Mobile-Former: Video Recognition with Efficient Global Spatial-temporal Modeling. - Guocheng Qian, Xingdi Zhang, Abdullah Hamdi, Bernard Ghanem:
Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding. - Pasquale Salza, Marco Edoardo Palma, Harald C. Gall:
Synthetic End-User Testing: Modeling Realistic Agents Based on Behavioral Examples. - Xiaoyi Dong, Yinglin Zheng, Jianmin Bao, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu:
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining. - Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv:
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving. - Sushant More:
Identifying and Overcoming Transformation Bias in Forecasting Models. - Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu:
Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning. - Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan:
Learning Continuous Implicit Representation for Near-Periodic Patterns. - Farzana Anowar, Samira Sadaoui, Hardik Dalal:
Adaptive Learning for Service Monitoring Data. - (Withdrawn) Neuro-Dynamic State Estimation for Networked Microgrids.
- Mohammed F. Allehyani, Mohamed Abuagreb, Brian K. Johnson:
The Effect of Frequency Droop Damping on System Parameters and Battery Sizing During Load Change Condition. - Jiankai Sun, Xin Yang, Yuanshun Yao, Junyuan Xie, Di Wu, Chong Wang:
DPAUC: Differentially Private AUC Computation in Federated Learning. - Francisco Carvalho:
Modelling the Recommender Alignment Problem. - Yannick Hold-Geoffroy, Dominique Piché-Meunier, Kalyan Sunkavalli, Jean-Charles Bazin, François Rameau, Jean-François Lalonde:
A Deep Perceptual Measure for Lens and Camera Calibration. - Weiran Sun, Li Wang:
Uniform error estimate of an asymptotic preserving scheme for the Lévy-Fokker-Planck equation. - Qingyun Wang, Manling Li, Hou Pong Chan, Lifu Huang, Julia Hockenmaier, Girish Chowdhary, Heng Ji:
Multimedia Generative Script Learning for Task Planning. - Janosch Baltensperger, Pasquale Salza, Harald C. Gall:
Continuous Deep Learning: A Workflow to Bring Models into Production. - Jinfeng Chen, Zhiqiang Gao, Yu Hu, Sally Shao:
On the relationship between extended state observer and unknown input observer. - Juraj Doncevic, Kresimir Fertalj, Mario Brcic, Agneza Krajna:
Mask-Mediator-Wrapper: A revised mediator-wrapper architecture for heterogeneous data source integration. - Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine Süsstrunk:
DSR: Towards Drone Image Super-Resolution. - Fadi AlMahamid, Katarina Grolinger:
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review. - Sunder Ali Khowaja, Ik Hyun Lee, Jiseok Yoon:
2nd Place Solutions for UG2+ Challenge 2022 - D3Net for Mitigating Atmospheric Turbulence from Images. - Zhiwei Fan, Paraschos Koutris, Xiating Ouyang, Jef Wijsen:
LinCQA: Faster Consistent Query Answering with Linear Time Guarantees. - Brian Lee, Fei Lei, Huaijin G. Chen, Alexis Baudron:
Bokeh-Loss GAN: Multi-Stage Adversarial Training for Realistic Edge-Aware Bokeh. - Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet:
Two-level Closed Loops for RAN Slice Resources Management Serving Flying and Ground-based Cars. - Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion:
Light-weight probing of unsupervised representations for Reinforcement Learning. - Yo Yehudi, Lukas Hughes-Noehrer, Carole A. Goble, Caroline Jay:
Subjective data models in bioinformatics: Do wet-lab and computational biologists comprehend data differently? - Amin Farjudian, Eugenio Moggi:
Robustness, Scott Continuity, and Computability. - Harsh Chaudhari, John Abascal, Alina Oprea, Matthew Jagielski, Florian Tramèr, Jonathan R. Ullman:
SNAP: Efficient Extraction of Private Properties with Poisoning. - Tiago João Guerreiro, Ana Cristina Pires, Luís Carriço:
Snooping on Snoopers: Logging as a Security Response to Physical Attacks on Mobile Devices. - Jhe-Yu Liou, Muaaz Awan, Steven A. Hofmeyr, Stephanie Forrest, Carole-Jean Wu:
Understanding the Power of Evolutionary Computation for GPU Code Optimization. - Zining Zhu, Soroosh Shahtalebi, Frank Rudzicz:
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization. - Mohammad Mohammadi Amiri, Frederic Berdoz, Ramesh Raskar:
Fundamentals of Task-Agnostic Data Valuation. - Erick Schulz, Andy T. S. Wan:
Minimal 𝓁2 Norm Discrete Multiplier Method. - (Withdrawn) Lib-SibGMU - A University Library Circulation Dataset for Recommender Systems Developmen.
- Chen Greif, Yunhui He:
Block preconditioners for the Marker and Cell discretization of the Stokes-Darcy equations. - Zahra VaraminyBahnemiry, Jessie Galasso, Houari A. Sahraoui:
Social Diversity for ATL Repair. - Racin Nygaard:
Lessons Learned from a Bare-metal Evaluation of Erasure Coding Algorithms in P2P Networks. - Shahriar Golchin, Mihai Surdeanu, Nazgol Tavabi, Ata M. Kiapour:
A Compact Pretraining Approach for Neural Language Models. - Shaoor Munir, Sandra Siby, Umar Iqbal, Steven Englehardt, Zubair Shafiq, Carmela Troncoso:
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies. - Fabio Giardina, S. Ganga Prasath, L. Mahadevan:
Collective phototactic robotectonics. - Qing Wang, Jian Zheng, Huawei Huang, Jianru Lin:
Consensusless Blockchain: A Promising High-Performance Blockchain without Consensus. - Timothy L. Staples:
Expansion and evolution of the R programming language. - Wanming Hao, Xiaobei You, Fuhui Zhou, Zheng Chu, Gangcan Sun, Pei Xiao:
The Far-/Near-Field Beam Squint and Solutions for THz Intelligent Reflecting Surface Communications. - Adam J. Hepworth, Aya Hussein, Darryn J. Reid, Hussein A. Abbass:
Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts. - Noah Schaffer, Boaz Cogan, Ethan Manilow, Max Morrison, Prem Seetharaman, Bryan Pardo:
Music Separation Enhancement with Generative Modeling. - Christian Manasseh, Razvan Veliche, Jared B. Bennett, Hamilton Scott Clouse:
Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely Time-Decoupled Events. - Beomsik Park, Ranggi Hwang, Dongho Yoon, Yoonhyuk Choi, Minsoo Rhu:
DiVa: An Accelerator for Differentially Private Machine Learning. - Ye Wang, Qi Zhao, Wenyan Wu, Ailsa Willis, Angus R. Simpson, Erik Weyer:
Improved Pump Setpoint Selection Using a Calibrated Hydraulic Model of a High-Pressure Irrigation System. - Wei Xu, Zaifeng Gao, Liezhong Ge:
New paradigms and agenda of human factors research in the intelligence age. - Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. - Xixi Wang, Xiao Wang, Bo Jiang, Bin Luo:
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification. - Nouraldin Jaber, Christopher Wagner, Swen Jacobs, Milind Kulkarni, Roopsha Samanta:
Synthesis of Distributed Agreement-Based Systems with Efficiently-Decidable Parameterized Verification. - Jeffrey Willette, Andreis Bruno, Juho Lee, Sung Ju Hwang:
Universal Mini-Batch Consistency for Set Encoding Functions. - J. Humberto Ramos:
Extending the practical applicability of the Kalman Filter. - Danfei Xu, Yuxiao Chen, Boris Ivanovic, Marco Pavone:
BITS: Bi-level Imitation for Traffic Simulation. - Yuki Endo:
User-Controllable Latent Transformer for StyleGAN Image Layout Editing. - Shrutina Agarwal, Sriram Ganapathy, Naoya Takahashi:
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer. - Zi'an Xu, Yin Dai, Fayu Liu, Boyuan Wu, Weibing Chen, Lifu Shi:
Parotid Gland MR Image Segmentation Based on Contrastive Learning. - Shi-Xue Zhang, Xiaobin Zhu, Lei Chen, Jie-Bo Hou, Xu-Cheng Yin:
Arbitrary Shape Text Detection via Segmentation with Probability Maps. - Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White:
Learning with Few Labeled Nodes via Augmented Graph Self-Training. - (Withdrawn) On primary decomposition of Hermite projectors.
- Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh Lall:
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs. - Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. - Hongyan Gu, Mohammad Haeri, Shuo Ni, Christopher Kazu Williams, Neda Zarrin-Khameh, Shino Magaki, Xiang 'Anthony' Chen:
Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge. - Ahammed Ullah:
Computing Clique Cover with Structural Parameterization. - Shicheng Wan, Zhenqiang Ye, Wensheng Gan, Jiahui Chen:
Temporal Fuzzy Utility Maximization with Remaining Measure. - Kousik Rajesh, Eklavya Jain, Prakash Kotecha:
A Multi-Objective approach to the Electric Vehicle Routing Problem. - Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li:
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation. - Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Jason Xue, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal:
Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. - (Withdrawn) Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems.
- Anastasiia Tkalich, Darja Smite, Nina Haugland Andersen, Nils Brede Moe:
What happens to psychological safety when going remote? - Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai:
Another Use of SMOTE for Interpretable Data Collaboration Analysis. - Bo-Shi Zou, Ming-Kun Xie, Sheng-Jun Huang:
Meta Objective Guided Disambiguation for Partial Label Learning. - Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He:
AutoQGS: Auto-Prompt for Low-Resource Knowledge-based Question Generation from SPARQL. - Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng:
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. - Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen:
Towards Higher-order Topological Consistency for Unsupervised Network Alignment. - Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam:
Data-free Dense Depth Distillation. - Bhavya Peshavaria, Sagar Kavaiya, Dhaval K. Patel:
An approach to implement Reinforcement Learning for Heterogeneous Vehicular Networks. - Eiji Miyazaki, Tomoya Kemmochi, Tomohiro Sogabe, Shao-Liang Zhang:
A structure-preserving numerical method for the fourth-order geometric evolution equations for planar curves. - Omar Zamzam, Haleh Akrami, Richard M. Leahy:
Learning From Positive and Unlabeled Data Using Observer-GAN. - Trupti Padiya, Frank Löffler, Friederike Klan:
Need for Design Patterns: Interoperability Issues and Modelling Challenges for Observational Data. - Sangdo Han:
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language. - Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. - Sangjun Han, Taeil Hur, Youngmi Hur:
Laplacian Pyramid-like Autoencoder. - Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer:
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier. - Václav Skala:
Polar, Spherical and Orthogonal Space Subdivisions for an Algorithm Acceleration: O(1) Point-in-Polygon/Polyhedron Test. - Stone Yun, Alexander Wong:
GHN-Q: Parameter Prediction for Unseen Quantized Convolutional Architectures via Graph Hypernetworks. - Joel Honkamaa, Umair Khan, Sonja Koivukoski, Leena Latonen, Pekka Ruusuvuori, Pekka Marttinen:
Deformation equivariant cross-modality image synthesis with paired non-aligned training data. - Junyoung Son, Jinsung Kim, Jungwoo Lim, Heuiseok Lim:
GRASP: Guiding model with RelAtional Semantics using Prompt. - Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. - Raúl Pardo, Willard Rafnsson, Gregor Steinhorn, Denis Lavrov, Thomas Lumley, Christian W. Probst, Ilze Ziedins, Andrzej Wasowski:
Privacy with Good Taste: A Case Study in Quantifying Privacy Risks in Genetic Scores. - Anupam K. Gupta, Alex Church, Nathan F. Lepora:
Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear. - Marianne Bessemoulin-Chatard, Francis Filbet:
On the convergence of discontinuous Galerkin/Hermite spectral methods for the Vlasov-Poisson system. - Yusen Zhang, Zhongli Li, Qingyu Zhou, Ziyi Liu, Chao Li, Mina Ma, Yunbo Cao, Hongzhi Liu:
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications. - (Withdrawn) EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning.
- Jianfeng Dong, Xianke Chen, Minsong Zhang, Xun Yang, Shujie Chen, Xirong Li, Xun Wang:
Partially Relevant Video Retrieval. - Zihui Wu, Haichang Gao, Bingqian Zhou, Xiaoyan Guo, Shudong Zhang:
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training. - Vincent Gaudillière, Gilles Simon, Marie-Odile Berger:
Perspective-1-Ellipsoid: Formulation, Analysis and Solutions of the Ellipsoid Pose Estimation Problem in Euclidean Space. - Andreas Besginow, Markus Lange-Hegermann:
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations. - Huixu Dong, Yue Feng, Chen Qiu, Ye Pan, Miaoying He, I-Ming Chen:
Enabling Massage Actions: An Interactive Parallel Robot with Compliant Joints. - Mingyu Mo, Qi Ye:
Splitting Method for Support Vector Machine with Lower Semi-continuous Loss. - Martin Glauer, Robert West, Susan Michie, Janna Hastings:
ESC-Rules: Explainable, Semantically Constrained Rule Sets. - Hlynur Davíð Hlynsson:
Visual processing in context of reinforcement learning. - Yabing Wang, Jianfeng Dong, Tianxiang Liang, Minsong Zhang, Rui Cai, Xun Wang:
Cross-Lingual Cross-Modal Retrieval with Noise-Robust Learning. - Jiaming Liu, Qizhe Zhang, Jianing Li, Ming Lu, Tiejun Huang, Shanghang Zhang:
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer. - Yujia Yang, Ye Wang, Chris Manzie, Ye Pu:
Real-Time Distributed Model Predictive Control with Limited Communication Data Rates. - Erzhong Xue, Zilong Wang, Guang Gong:
Non-standard Golay Complementary Sequence Pair over QAM. - Abdul Rahman Kreidieh, Zhe Fu, Alexandre M. Bayen:
Learning energy-efficient driving behaviors by imitating experts. - Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, Jeff Z. Pan:
Task-specific Pre-training and Prompt Decomposition for Knowledge Graph Population with Language Models. - Yaping Zhao, Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao:
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in the Case of Beijing. - Hans L. Bodlaender:
The Parameterized Complexity Binary CSP for Graphs with a Small Vertex Cover and Related Results. - Taekeun Yoon, Seon Woong Kim, Hosung Byun, Younsik Kim, Campbell D. Carter, Hyungrok Do:
Deep learning-based fast time-resolved flame emission spectroscopy in high-pressure combustion environment. - Guanzhou Ke, Yongqi Zhu, Yang Yu:
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion. - Zizhao Zhang, Yifan Feng, Shihui Ying, Yue Gao:
Deep Hypergraph Structure Learning. - Steven Chaplick, Emilio Di Giacomo, Fabrizio Frati, Robert Ganian, Chrysanthi N. Raftopoulou, Kirill Simonov:
Testing Upward Planarity of Partial 2-Trees. - Pablo M. Berná, Antonio Falcó:
Non-probabilistic Supervised Learning for Non-linear Convex Variational Problems. - Jichao Zhang, Aliaksandr Siarohin, Yahui Liu, Hao Tang, Nicu Sebe, Wei Wang:
Training and Tuning Generative Neural Radiance Fields for Attribute-Conditional 3D-Aware Face Generation. - Jiahui Chen, Yixin Xu, Shicheng Wan, Wensheng Gan, Jerry Chun-Wei Lin:
Itemset Utility Maximization with Correlation Measure. - Micha Horlboge, Erwin Quiring, Roland Meyer, Konrad Rieck:
I still know it's you! On Challenges in Anonymizing Source Code. - Walter Didimo, Michael Kaufmann, Giuseppe Liotta, Giacomo Ortali:
Rectilinear Planarity of Partial 2-Trees. - Antônio Tadeu Azevedo Gomes, Larissa Miguez da Silva, Frédéric Valentin:
Physics-Aware Neural Networks for Boundary Layer Linear Problems. - Komal Pathade, Uday P. Khedker:
Computing Maximum Fixed Point Solutions over Feasible Paths in Data Flow Analyses. - Bill Basener:
Understanding Deep Learning using Topological Dynamical Systems, Index Theory, and Homology. - Maria Osório, Luís Sa-Couto, Andreas Wichert:
Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data? - Jiankang Zhang, Dong Liu, Sheng Chen, Soon Xin Ng, Robert G. Maunder, Lajos Hanzo:
Multiple-Objective Packet Routing Optimization for Aeronautical ad-hoc Networks. - Zhang Liu, Minghui Liwang, Seyyedali Hosseinalipour, Huaiyu Dai, Zhibin Gao, Lianfen Huang:
RFID: Towards Low Latency and Reliable DAG Task Scheduling over Dynamic Vehicular Clouds. - Ruixiang Xue, Jianqiang Wang, Zhan Ma:
Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention. - Simon Dirckx, Daan Huybrechs, Robbe Ongenae:
On the computation of the SVD of Fourier submatrices. - Debmalya Mandal, Jiarui Gan:
Socially Fair Reinforcement Learning. - Mostafa Jahanifar, Adam J. Shephard, Neda Zamanitajeddin, Shan E Ahmed Raza, Nasir M. Rajpoot:
Stain-Robust Mitotic Figure Detection for MIDOG 2022 Challenge. - Tim Sonnekalb, Bernd Gruner, Clemens-Alexander Brust, Patrick Mäder:
Generalizability of Code Clone Detection on CodeBERT. - Gal Vardi:
On the Implicit Bias in Deep-Learning Algorithms. - Arne Gevaert, Yvan Saeys:
PDD-SHAP: Fast Approximations for Shapley Values using Functional Decomposition. - Chandan Bothra, Jianfei Gao, Sanjay G. Rao, Bruno Ribeiro:
Veritas: Answering Causal Queries from Video Streaming Traces. - Angela Weiss:
A Polynomial Decision for 3-SAT. - Hugues Thomas, Jian Zhang, Timothy D. Barfoot:
The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation. - Brian Hsu, Rahul Mazumder, Preetam Nandy, Kinjal Basu:
Pushing the limits of fairness impossibility: Who's the fairest of them all? - Elwin Huaman, Jorge Luis Huaman, Wendi Huaman:
Getting Quechua Closer to Final Users through Knowledge Graphs. - P. Dingus, C. Zhu, C. Gonatas:
Untangling the Dueling Expert Witnesses: Comparing Ensemble Methods in Pennsylvania's Redistricting Plans. - Wenbo Gong, Digory Smith, Zichao Wang, Craig Barton, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang:
Instructions and Guide: Causal Insights for Learning Paths in Education. - Monther Aldwairi:
Evaluating virtual laboratory platforms for supporting on-line information security courses. - Frank Xiao:
Image augmentation improves few-shot classification performance in plant disease recognition. - Unggi Lee, Yonghyun Park, Yujin Kim, Seongyune Choi, Hyeoncheol Kim:
MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing. - Jessica Woodgate, Nirav Ajmeri:
Principles for Macro Ethics of Sociotechnical Systems: Taxonomy and Future Directions. - Antong Zhang, Jiani Yang, Yangcheng Luo, Siteng Fan:
2060: Civilization, Energy, and Progression of Mankind on the Kardashev Scale. - Rishabh Singh Chauhan, Matthew Wigginton Bhagat-Conway, Tassio Magassy, Nicole Corcoran, Ehsan Rahimi, Abbie Dirks, Ram Pendyala, Abolfazl (Kouros) Mohammadian, Sybil Derrible, Deborah Salon:
COVID Future Panel Survey: A Unique Public Dataset Documenting How U.S. Residents' Travel Related Choices Changed During the COVID-19 Pandemic. - Dea Avega Editya:
Tinjauan atas Efektivitas Penggunaan Key Opinion Leader (KOL) dalam Penjualan Surat Utang Negara Ritel seri SBR011. - Matthew Barthet, Ahmed Khalifa, Antonios Liapis, Georgios N. Yannakakis:
Play with Emotion: Affect-Driven Reinforcement Learning. - Baomin Wang, Geng Hu, Dan Chen, Lihua Hu, Cheng Li, Yu An, Guiping Hu, Guang Jia:
From WSI-level to Patch-level: Structure Prior Guided Binuclear Cell Fine-grained Detection. - Hanna Müller, Vlad Niculescu, Tommaso Polonelli, Michele Magno, Luca Benini:
Robust and Efficient Depth-based Obstacle Avoidance for Autonomous Miniaturized UAVs. - Simon Roburin, Charles Corbière, Gilles Puy, Nicolas Thome, Mathieu Aubry, Renaud Marlet, Patrick Pérez:
Take One Gram of Neural Features, Get Enhanced Group Robustness. - Charl Maree, Christian W. Omlin:
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models. - Martin Kolár:
PNPCoin: Distributed Computing on Bitcoin infrastructure. - David A. Vargas, Robert D. Falgout, Stefanie Günther, Jacob B. Schroder:
Multigrid Reduction in Time for Chaotic Dynamical Systems. - Miguel A. Mendez:
Generalized and Multiscale Modal Analysis. - Sander De Coninck, Wei-Cheng Wang, Sam Leroux, Pieter Simoens:
Selective manipulation of disentangled representations for privacy-aware facial image processing. - Florian Huber, Artem Yushchenko, Benedikt Stratmann, Volker Steinhage:
Extreme Gradient Boosting for Yield Estimation compared with Deep Learning Approaches. - Ram M. Kripa, Nandini Ramesh, William R. Boos:
Wrangler for the Emergency Events Database: A Tool for Geocoding and Analysis of a Global Disaster Dataset. - Jafar Jafarov:
Four Algorithms for Correlation Clustering: A Survey. - Fabiano Pereira de Oliveira, Christiane Gresse von Wangenheim, Jean C. R. Hauck:
TMIC: App Inventor Extension for the Deployment of Image Classification Models Exported from Teachable Machine. - Diego González Morín, Ester Gonzalez-Sosa, Pablo Pérez, Álvaro Villegas:
Full Body Video-Based Self-Avatars for Mixed Reality: from E2E System to User Study. - Soheyl Massoudi, Jürg Schiffmann:
ARRID: ANN-based Rotordynamics for Robust and Integrated Design. - Muhammad Hamza, Muhammad Azeem Akbar:
Smart Healthcare System Implementation Challenges: A stakeholder perspective. - Wenbin Gan, Yuan Sun:
Prerequisite-driven Q-matrix Refinement for Learner Knowledge Assessment: A Case Study in Online Learning Context. - Attila Egri-Nagy, Antti Törmänen:
The cost of passing - using deep learning AIs to expand our understanding of the ancient game of Go. - Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar:
Why is the video analytics accuracy fluctuating, and what can we do about it? - Charlotte Siegmann, Markus Anderljung:
The Brussels Effect and Artificial Intelligence: How EU regulation will impact the global AI market. - Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes. - Maciej Styczen, Bing-Jyue Chen, Ya-Wen Teng, Yvonne-Anne Pignolet, Lydia Y. Chen, De-Nian Yang:
Targeted Influence with Community and Gender-Aware Seeding. - Yaniv Yacoby, John Girash, David C. Parkes:
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health. - Ghodai Abdelrahman, Sherif Abdelfattah, Qing Wang, Yu Lin:
DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation. - Jianing Li, Jiaming Liu, Xiaobao Wei, Jiyuan Zhang, Ming Lu, Lei Ma, Li Du, Tiejun Huang, Shanghang Zhang:
Uncertainty Guided Depth Fusion for Spike Camera. - J. Walker Orr:
Automatic Assessment of the Design Quality of Student Python and Java Programs. - Xiaoyu Lin:
Towards Robust Drone Vision in the Wild. - Yang Chen, Ziyue Wang, Zijie Fang, Hao Bian, Yongbing Zhang:
Multi tasks RetinaNet for mitosis detection. - Kaushal Santosh Bhogale, Abhigyan Raman, Tahir Javed, Sumanth Doddapaneni, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra:
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages. - Timothy Castiglia, Shiqiang Wang, Stacy Patterson:
Flexible Vertical Federated Learning with Heterogeneous Parties. - Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu:
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream. - Matilda Tamm, Olivia Shamon, Hector Anadon Leon, Konrad Tollmar, Linus Gisslén:
Automatic Testing and Validation of Level of Detail Reductions Through Supervised Learning. - Shin-I Cheng, Yu-Jie Chen, Wei-Chen Chiu, Hsin-Ying Lee, Hung-Yu Tseng:
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model. - Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective. - Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine:
SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation. - Eder Baron-Prada, Renzo Caballero, Eric Feron:
From Observability to Observer Realization: A path via elementary block-diagram manipulations. - Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre:
Hardware-aware mobile building block evaluation for computer vision. - Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin:
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction. - Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, Bill Howe:
Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy. - Marco Schreyer, Timur Sattarov, Damian Borth:
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. - Saihao Huang, Lijie Wang, Zhenghua Li, Zeyang Liu, Chenhui Dou, Fukang Yan, Xinyan Xiao, Hua Wu, Min Zhang:
SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset. - Patrick Ebel, Kim Julian Gülle, Christoph Lingenfelder, Andreas Vogelsang:
ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces. - Yi-chong Xia, Bin Chen, Yan Feng, Tianshuo Ge:
Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression. - Thijs van der Horst, Marc J. van Kreveld, Tim Ophelders, Bettina Speckmann:
A Subquadratic nε-approximation for the Continuous Fréchet Distance. - Xinwei Fang, Radu Calinescu, Simos Gerasimou, Faisal Alhwikem:
Fast Parametric Model Checking. - Massimo Quadrana, Antoine Larreche-Mouly, Matthias Mauch:
Multi-objective Hyper-parameter Optimization of Behavioral Song Embeddings. - Nicola Leone, Marco Manna, Maria Concetta Morelli, Simona Perri:
A Formal Comparison between Datalog-based Languages for Stream Reasoning (extended version). - Guangyi Zhu:
Automated False Positive Filtering for esNetwork Alerts. - Leonidas Tsepenekas, Ivan Brugere:
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. - Vivek Gopalakrishnan, Polina Golland:
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. - Clément Mommessin, Renyu Yang, Natalia V. Shakhlevich, Xiaoyang Sun, Satish Kumar, Junqing Xiao, Jie Xu:
Affinity-Aware Resource Provisioning for Long-Running Applications in Shared Clusters. - Man Zhang, Andrea Arcuri, Yonggang Li, Yang Liu, Kaiming Xue:
White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study. - Ghiles Ziat, Vincent Botbol, Matthieu Dien, Arnaud Gotlieb, Martin Pépin, Catherine Dubois:
Automatic Synthesis of Random Generators for Numerically Constrained Algebraic Recursive Types. - Lin Wu, Yang Wang, Feng Zheng, Qi Tian, Meng Wang:
T-Person-GAN: Text-to-Person Image Generation with Identity-Consistency and Manifold Mix-Up. - Chunyan Zeng, Shixiong Feng, Zhifeng Wang, Xiangkui Wan, Yunfan Chen, Nan Zhao:
Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings. - Jonathan Lorraine, Nihesh Anderson, Chansoo Lee, Quentin de Laroussilhe, Mehadi Hassen:
Task Selection for AutoML System Evaluation. - Muhammad Firdaus, Kyung-Hyune Rhee:
A Joint Framework to Privacy-Preserving Edge Intelligence in Vehicular Networks. - Andrea Ferigo, Leonardo Lucio Custode, Giovanni Iacca:
Quality Diversity Evolutionary Learning of Decision Trees. - Rodolfo Machuca, Fatoumata Sankare:
Remote Data Auditing and How it May Affect the Chain of Custody in a Cloud Environment. - Abdulrahman Kerim, Washington L. S. Ramos, Leandro Soriano Marcolino, Erickson R. Nascimento, Richard Jiang:
Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions. - Luigi De Simone, Mario Di Mauro, Roberto Natella, Fabio Postiglione:
A Latency-driven Availability Assessment for Multi-Tenant Service Chains. - Xuyang Li, Hamed Bolandi, Talal Salem, Nizar Lajnef, Vishnu Naresh Boddeti:
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems. - Zecheng Liu, Jia Wei, Rui Li:
TFusion: Transformer based N-to-One Multimodal Fusion Block. - Ashutosh Timilsina, Simone Silvestri:
Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing. - Cephas Samende, Zhong Fan, Jun Cao:
Battery and Hydrogen Energy Storage Control in a Smart Energy Network with Flexible Energy Demand using Deep Reinforcement Learning. - Zecheng Liu, Jia Wei, Rui Li:
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning. - Bruno Di Giorgi, Mark Levy, Richard Sharp:
Mel Spectrogram Inversion with Stable Pitch. - Carmen Mazijn, Carina Prunkl, Andres Algaba, Jan Danckaert, Vincent Ginis:
LUCID: Exposing Algorithmic Bias through Inverse Design. - Ximing Qiao, Hai Li:
Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming. - Darja Smite, Nils Brede Moe, Anastasiia Tkalich, Geir Kjetil Hanssen, Kristina Nydal, Jenny Nøkleberg Sandbæk, Hedda Wasskog Aamo, Ada Olsdatter Hagaseth, Scott Aleksander Bekke, Malin Holte:
Half-Empty Offices in Flexible Work Arrangements: Why are Employees Not Returning? - Jiachen Li, Vidit Goel, Marianna Ohanyan, Shant Navasardyan, Yunchao Wei, Humphrey Shi:
VMFormer: End-to-End Video Matting with Transformer. - Florian Jüngermann, Jan Kretínský, Maximilian Weininger:
Algebraically Explainable Controllers: Decision Trees and Support Vector Machines Join Forces. - Xuefeng Jiang, Sheng Sun, Yuwei Wang, Min Liu:
Towards Federated Learning against Noisy Labels via Local Self-Regularization. - Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. - Randall Lewis, Jeffrey Wong:
Incrementality Bidding and Attribution. - Jihwan Won:
Abnormal Local Clustering in Federated Learning. - Joshua C. Chang, Ted L. Chang, Carson C. Chow, Rohit Mahajan, Sonya Mahajan, Shashaank Vattikuti, Hongjing Xia:
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death. - Zihan Liu, Ge Wang, Yun Luo, Stan Z. Li:
What Does the Gradient Tell When Attacking the Graph Structure. - Muhammad Zawish, Steven Davy, Lizy Abraham:
Complexity-Driven CNN Compression for Resource-constrained Edge AI. - Francesca Favaro, Keith Hutchings, Philip Nemec, Letícia Cavalcante, Trent Victor:
Waymo's Fatigue Risk Management Framework: Prevention, Monitoring, and Mitigation of Fatigue-Induced Risks while Testing Automated Driving Systems. - Ion Matei, Maksym Zhenirovskyy, Johan de Kleer, John Maxwell III:
Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints. - Ryan Stamp:
Living-off-the-Land Abuse Detection Using Natural Language Processing and Supervised Learning. - Moawwad El-Mikkawy, Abdelrahman A. Karawia:
A Breakdown Free Numerical Algorithm for Inverting General Tridiagonal Matrices. - Kaixin Ma, Filip Ilievski, Jonathan Francis, Eric Nyberg, Alessandro Oltramari:
Coalescing Global and Local Information for Procedural Text Understanding. - Michael Baddeley, Yevgen Gyl, Markus Schuss, Xiaoyuan Ma, Carlo Alberto Boano:
OSF: An Open-Source Framework for Synchronous Flooding over Multiple Physical Layers. - Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, Samuel R. Bowman:
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. - Tao Sun, Cheng Lu, Haibin Ling:
Domain Adaptation with Adversarial Training on Penultimate Activations. - Tao Sun, Cheng Lu, Haibin Ling:
Local Context-Aware Active Domain Adaptation. - Hadi Ghahremannezhad, Chengjun Liu, Hang Shi:
Ammunition Component Classification Using Deep Learning. - José Miguel Díaz-Báñez, Paul Horn, Mario Alberto López, Nestaly Marín, Adriana Ramírez-Vigueras, Oriol Andreu Solé-Pi, Alex Stevens, Jorge Urrutia:
Ortho-unit polygons can be guarded with at most ⌊(n-4)/8⌋ guards. - Tom C. van der Zanden, Hans L. Bodlaender, Herbert J. M. Hamers:
Efficiently Computing the Shapley Value of Connectivity Games in Low-Treewidth Graphs. - Javier Fumanal-Idocin, Oscar Cordón, Maria Minárová, Amparo Alonso-Betanzos, Humberto Bustince:
Combinations of Affinity Functions for Different Community Detection Algorithms in Social Networks. - Antra Arshad, Atif Ahmad, Sean B. Maynard:
Factors Influencing the Organizational Decision to Outsource IT Security: A Review and Research Agenda. - Vasudev Gohil, Satwik Patnaik, Hao Guo, Dileep Kalathil, Jeyavijayan Rajendran:
DETERRENT: Detecting Trojans using Reinforcement Learning. - David Widmann, Chris Rackauckas:
DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers. - Alpha Renner, Lazar Supic, Andreea Danielescu, Giacomo Indiveri, Bruno A. Olshausen, Yulia Sandamirskaya, Friedrich T. Sommer, Edward Paxon Frady:
Neuromorphic Visual Scene Understanding with Resonator Networks. - Prabhanjan Ananth, Fatih Kaleoglu:
A Note on Copy-Protection from Random Oracles. - Lingsheng Kong, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Xiaofeng Liu:
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model. - Jean-Philippe Corbeil, Mia Taige Li, Hadi Abdi Ghavidel:
Building the Intent Landscape of Real-World Conversational Corpora with Extractive Question-Answering Transformers. - Alejandro Allendes, Gilberto Campaña, Francisco Fuica, Enrique Otárola:
Darcy's problem coupled with the heat equation under singular forcing: analysis and discretization. - Zoey Liu, Justin Spence, Emily Prud'hommeaux:
Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation. - Debobroto Das Robin, Javed I. Khan:
An Open-Source P416 Compiler Backend for Reconfigurable Match-Action Table Switches. - Shalev Ben-David, Eric Blais, Mika Göös, Gilbert Maystre:
Randomised Composition and Small-Bias Minimax. - Vasudev Gohil, Hao Guo, Satwik Patnaik, Jeyavijayan Rajendran:
ATTRITION: Attacking Static Hardware Trojan Detection Techniques Using Reinforcement Learning. - Abu Reyan Ahmed, Stephen G. Kobourov, Myroslav Kryven:
An FPT Algorithm for Bipartite Vertex Splitting. - Jie Zhou, John Criswell, Michael Hicks:
Fat Pointers for Temporal Memory Safety of C. - Igor Vasiljevic:
Neural Camera Models. - Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu:
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives. - Xiaojia Chen, Xuanhan Wang, Lianli Gao, Jingkuan Song:
RepParser: End-to-End Multiple Human Parsing with Representative Parts. - Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun:
Pipeline-Invariant Representation Learning for Neuroimaging. - Giorgio Severi, Matthew Jagielski, Gökberk Yar, Yuxuan Wang, Alina Oprea, Cristina Nita-Rotaru:
Network-Level Adversaries in Federated Learning. - Himarsha R. Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, Michele C. Weigle:
Robots Still Outnumber Humans in Web Archives, But Less Than Before. - Limeng Wang, Ranran Yang, Yang Qu, Chengzhe Xu:
Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas. - Tao Feng, Michael Kiermaier, Peixian Lin, Kai-Uwe Schmidt:
Linear codes associated with the Desarguesian ovoids in Q+(7, q). - Limeng Wang, Chao Yang, Yi Zhang, Fanjin Bu:
Research on Multi-Objective Planning of Electric Vehicle Charging Stations Considering the Condition of Urban Traffic Network. - Yihong Ge, Sudan Yan, Shaolin Lü, Cong Li:
Global RTK Positioning in Graphical State Space. - Vincent Primpied, David Beauchemin, Richard Khoury:
Quantifying French Document Complexity. - Farhad Aghili:
Robust 3D Vision for Autonomous Robots. - Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang:
Overparameterized (robust) models from computational constraints. - Wildan Abdussalam, Adam Mertel, Kai Fan, Lennart Schüler, Weronika Schlechte-Welnicz, Justin M. Calabrese:
A scalable pipeline for COVID-19: the case study of Germany, Czechia and Poland. - Wenxuan Bao, Jingrui He:
BOBA: Byzantine-Robust Federated Learning with Label Skewness. - Tatsuro Kawamoto, Masaki Ochi, Teruyoshi Kobayashi:
Consistency between ordering and clustering methods for graphs. - Astitva Srivastava, Chandradeep Pokhariya, Sai Sagar Jinka, Avinash Sharma:
xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image. - Jinhuan Wang, Pengtao Chen, Xinyao Xu, Jiajing Wu, Meng Shen, Qi Xuan, Xiaoniu Yang:
TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum. - Fan Yang, Norimichi Ukita, Sakriani Sakti, Satoshi Nakamura:
Actor-identified Spatiotemporal Action Detection - Detecting Who Is Doing What in Videos. - Moshe Tocker:
Virtual Control Group: Measuring Hidden Performance Metrics. - Michael X. Cao, Marco Tomamichel:
On the Quadratic Decaying Property of the Information Rate Function. - Qing Wang, Jing Jin, Xiaofeng Liu, Huixuan Zong, Yunfeng Shao, Yinchuan Li:
Tensor Decomposition based Personalized Federated Learning. - Wansen Wang, Wenchao Huang, Zhaoyi Meng, Yan Xiong, Fuyou Miao, Xianjin Fang, Caichang Tu, Renjie Ji:
An Automated Analyzer for Financial Security of Ethereum Smart Contracts. - Takahito Murakami, Maya Grace Torii, Xanat Vargas Meza, Yoichi Ochiai:
Kuchibashi: 3D-Printed Tweezers Bioinspired by the New Caledonian Crow's Beak. - Oriol Gomis-Bellmunt, Saman Dadjo Tavakoli, Vinícius Albernaz Lacerda, Eduardo Prieto-Araujo:
Grid-Forming Loads: Can the loads be in charge of forming the grid in modern power systems? - Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-Retroactive Interference for Lifelong Learning. - Yi Fang, Wang Chen, Pingping Chen, Yiwei Tao, Mohsen Guizani:
SR-DCSK Cooperative Communication System with Code Index Modulation: A New Design for 6G New Radios. - Nicolò Botteghi, Mengwu Guo, Christoph Brune:
Deep Kernel Learning of Dynamical Models from High-Dimensional Noisy Data. - Cornelis A. Middelburg:
Paraconsistent logic and query answering in inconsistent databases. - Chendan Li, Muzaidi Othman, Nor Baizura Ahamad, Marta Molinas:
Marine Integrated Energy Microgrids. - Sangho Suh, Jian Zhao, Edith Law:
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. - Chloe Bae, Shiwen Yang, Michael Baddeley, Atis Elsts, Israat Haque:
BlueTiSCH: A Multi-PHY Simulation of Low-Power 6TiSCH IoT Networks. - Bowen Fu, Sek Kun Leong, Xiaocong Lian, Xiangyang Ji:
6D Robotic Assembly Based on RGB-only Object Pose Estimation. - Shukai Han, Mi Zhang, Dejun Jiang, Jin Xiong:
HiStore: Rethinking Hybrid Index in RDMA-based Key-Value Store. - Hannah Bos, Dylan R. Muir:
Sub-mW Neuromorphic SNN audio processing applications with Rockpool and Xylo. - Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. - Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. - Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen:
Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes. - David S. Axelrod, Brian P. Harper, John C. Paolillo:
YouTube COVID-19 Vaccine Misinformation on Twitter: Platform Interactions and Moderation Blind Spots. - Thomas A. Ciarfuglia, Ionut Marian Motoi, Leonardo Saraceni, Mulham Fawakherji, Alberto Sanfeliu, Daniele Nardi:
Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data. - Samuel F. Potter, Maria K. Cameron, Ramani Duraiswami:
Numerical geometric acoustics: an eikonal-based approach for modeling sound propagation in 3D environments. - Karol Chlasta, Pawel Sochaczewski, Izabela Grabowska, Agata Jastrzebowska-Tyczkowska:
MyMigrationBot: A Cloud-based Facebook Social Chatbot for Migrant Populations. - Ziyang Wang, Huoyu Liu, Wei Wei, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang, Dangyang Chen:
Multi-level Contrastive Learning Framework for Sequential Recommendation. - Ran Ji, Shuo Chen, Chongwen Huang, Wei E. I. Sha, Zhaoyang Zhang, Chau Yuen, Mérouane Debbah:
Extra DoF of Near-Field Holographic MIMOCommunications Leveraging Evanescent Waves. - Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Object Goal Navigation using Data Regularized Q-Learning. - Phillippe Samer, Dag Haugland:
Polyhedral results and stronger Lagrangean bounds for stable spanning trees. - Henning Bordihn, Géza Horváth, György Vaszil:
Proceedings 12th International Workshop on Non-Classical Models of Automata and Applications, NCMA 2022, Debrecen, Hungary, August 26-27, 2022. EPTCS 367, 2022 [contents] - Zhizhong Wang, Zhanjie Zhang, Lei Zhao, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu:
AesUST: Towards Aesthetic-Enhanced Universal Style Transfer. - Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. - Hongjian Xia, Yi Zhang, Dao Zhou, Minyou Chen, Wei Lai, Yunhai Wei, Huai Wang:
Impact of Loss Model Selection on Power Semiconductor Lifetime Prediction in Electric Vehicles. - Christian Schmidt, Adrian Vdberg, Alix Petit:
Practical applications of Set Shaping Theory in Huffman coding. - Nikolay Mikhaylovskiy:
On Unsupervised Training of Link Grammar Based Language Models. - Teng Lu, Xuan He, Peng Kang, Jiongyue Xing, Xiaohu Tang:
Parity-Check Matrix Partitioning for Efficient Layered Decoding of QC-LDPC Codes. - Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi, João Estacio Gaspar Araujo, Andrew Y. Ng, Christopher B. Field, Peter K. Kitanidis:
Improving debris flow evacuation alerts in Taiwan using machine learning. - Sidun Liu, Peng Qiao, Yong Dou:
Multi-Outputs Is All You Need For Deblur. - D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra Dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, K. Madhava Krishna:
Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation. - Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani:
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems. - Yousef Safari, Anja Kroon, Boris Vaisband:
Power Delivery for Ultra-Large-Scale Applications on Si-IF. - Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, Arthur Gervais:
SoK: Decentralized Finance (DeFi) Incidents. - Hong Yang, Gongrui Nan, Mingbao Lin, Fei Chao, Yunhang Shen, Ke Li, Rongrong Ji:
LAB-Net: LAB Color-Space Oriented Lightweight Network for Shadow Removal. - Xinyi Zou, Ziheng Wu, Wenmeng Zhou, Jun Huang:
YOLOX-PAI: An Improved YOLOX Version by PAI. - Mengxin Zheng, Qian Lou, Lei Jiang:
TrojViT: Trojan Insertion in Vision Transformers. - Najem N. Sirhan, Manel Martínez-Ramón:
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey. - Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati:
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks. - Klim Kireev, Bogdan Kulynych, Carmela Troncoso:
Adversarial Robustness for Tabular Data through Cost and Utility Awareness. - Sasikanth Kotti, Mayank Vatsa, Richa Singh:
On GANs perpetuating biases for face verification. - Mayukh Bagchi:
A Diversity-Aware Domain Development Methodology. - (Withdrawn) SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing.
- Peter Kraft, Qian Li, Kostis Kaffes, Athinagoras Skiadopoulos, Deeptaanshu Kumar, Danny Cho, Jason Li, Robert Redmond, Nathan W. Weckwerth, Brian S. Xia, Peter Bailis, Michael J. Cafarella, Goetz Graefe, Jeremy Kepner, Christos Kozyrakis, Michael Stonebraker, Lalith Suresh, Xiangyao Yu, Matei Zaharia:
Apiary: A DBMS-Backed Transactional Function-as-a-Service Framework. - Usman Muhammad, Mourad Oussalah:
Self-Supervised Face Presentation Attack Detection with Dynamic Grayscale Snippets. - Aaron Jarmusch, Aaron Liu, Christian Munley, Daniel Horta, Vaidhyanathan Ravichandran, Joel E. Denny, Sunita Chandrasekaran:
Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above. - Xiaozhe Hu, Seulip Lee, Lin Mu, Son-Young Yi:
Pressure-robust enriched Galerkin methods for the Stokes equations. - Baihan Lin:
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. - Qingyu Zhang, Xiaoyu Shen, Ernie Chang, Jidong Ge, Pengke Chen:
MDIA: A Benchmark for Multilingual Dialogue Generation in 46 Languages. - Shril Mody, Janvi Thakkar, Devvrat Joshi, Siddharth Soni, Rohan Patil, Nipun Batra:
Geometrical Homogeneous Clustering for Image Data Reduction. - Ethan Pickering, Themistoklis P. Sapsis:
Information FOMO: The unhealthy fear of missing out on information. A method for removing misleading data for healthier models. - Bennett Kleinberg, Toby Davies, Maximilian Mozes:
Textwash - automated open-source text anonymisation. - Ritesh Sarkhel, Binxuan Huang, Colin Lockard, Prashant Shiralkar:
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents. - Sean B. Maynard, Atif Ahmad:
Information Security Management in High Quality IS Journals: A Review and Research Agenda. - Sara Babakniya, Souvik Kundu, Saurav Prakash, Yue Niu, Salman Avestimehr:
Federated Sparse Training: Lottery Aware Model Compression for Resource Constrained Edge. - Joon Sung Park, Joseph Seering, Michael S. Bernstein:
Measuring the Prevalence of Anti-Social Behavior in Online Communities. - Muskan Garg, Naveen Aggarwal:
Minimal Feature Analysis for Isolated Digit Recognition for varying encoding rates in noisy environments. - Muskan Garg:
An event detection technique using social media data. - Srinivasan Ramesh, Mikhail Titov, Matteo Turilli, Shantenu Jha, Allen D. Malony:
The Ghost of Performance Reproducibility Past. - Fan Cheng:
A Reformulation of Gaussian Completely Monotone Conjecture: A Hodge Structure on the Fisher Information along Heat Flow. - Forough Majidi, Moses Openja, Foutse Khomh, Heng Li:
An Empirical Study on the Usage of Automated Machine Learning Tools. - Yinsong Xu, Zhuqing Jiang, Aidong Men, Yang Liu, Qingchao Chen:
Delving into the Continuous Domain Adaptation. - Jiangtao Wang, Quan Zhang, Yongchao Wang:
On the design of Massive MIMO-QAM detector via 𝓁2-Box ADMM approach. - Ju-Seung Byun, Andrew Perrault:
Normality-Guided Distributional Reinforcement Learning for Continuous Control. - Helen Zhou, Cheng Cheng, Kelly J. Shields, Gursimran Kochhar, Tariq Cheema, Zachary C. Lipton, Jeremy C. Weiss:
Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19. - Yinglong Wang, Chao Ma, Jianzhuang Liu:
Removing Rain Streaks via Task Transfer Learning. - Teru Nagamori, Ryota Iijima, Hitoshi Kiya:
An Access Control Method with Secret Key for Semantic Segmentation Models. - Priyabrata Karmakar, M. Manzur Murshed, Manoranjan Paul, David Taubman:
Efficient Motion Modelling with Variable-sized blocks from Hierarchical Cuboidal Partitioning. - Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu:
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. - Yue Niu, Saurav Prakash, Souvik Kundu, Sunwoo Lee, Salman Avestimehr:
Federated Learning of Large Models at the Edge via Principal Sub-Model Training. - Avinash Kumar, Sadeem Alsudais, Shengquan Ni, Zuozhi Wang, Yicong Huang, Chen Li:
Reshape: Adaptive Result-aware Skew Handling for Exploratory Analysis on Big Data. - Luis El Srouji, Yun-Jhu Lee, Mehmet Berkay On, Li Zhang, S. J. Ben Yoo:
Scalable Nanophotonic-Electronic Spiking Neural Networks. - Akira Kamatsuka:
On Hypothesis Testing via a Tunable Loss. - Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M. Lee:
Asynchronous Training Schemes in Distributed Learning with Time Delay. - Zhichao Han, Yuwei Wu, Tong Li, Lu Zhang, Liuao Pei, Long Xu, Chengyang Li, Changjia Ma, Chao Xu, Shaojie Shen, Fei Gao:
Differential Flatness-Based Trajectory Planning for Autonomous Vehicles. - Zahra Ghorbani, Seyed Hossein Khasteh, Saeid Ghafouri:
Opinion Leader Detection in Online Social Networks Based on Output and Input Links. - Usman Muhammad, Mourad Oussalah:
Face Anti-Spoofing from the Perspective of Data Sampling. - Saeid Ghafouri, Seyed Hossein Khasteh, Seyed Omid Azarkasb:
Influence Maximization (IM) in Complex Networks with Limited Visibility Using Statistical Methods. - Martin Molan, Andrea Borghesi, Daniele Cesarini, Luca Benini, Andrea Bartolini:
RUAD: unsupervised anomaly detection in HPC systems. - Raoul Blin, Fabien Cromières:
CJaFr-v3 : A Freely Available Filtered Japanese-French Aligned Corpus. - Minghui Song, Yuhang Zhang, Mingzhu Liu:
The rate of Lp-convergence for the Euler-Maruyama method of the stochastic differential equations with Markovian switching. - Seungwoong Ha, Hawoong Jeong:
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network. - Yinghua Zhang, Yangqiu Song, Kun Bai, Qiang Yang:
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. - Lev Finkelstein, Heiga Zen, Norman Casagrande, Chun-an Chan, Ye Jia, Tom Kenter, Alexey Petelin, Jonathan Shen, Vincent Wan, Yu Zhang, Yonghui Wu, Rob Clark:
Training Text-To-Speech Systems From Synthetic Data: A Practical Approach For Accent Transfer Tasks. - Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng:
Towards Real-World Video Deblurring by Exploring Blur Formation Process. - Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho:
Towards Disentangled Speech Representations. - Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao:
Grounded Affordance from Exocentric View. - Van-Phuc Bui, Trinh Van Chien, Eva Lagunas, Joël Grotz, Symeon Chatzinotas, Björn E. Ottersten:
Learning to Optimize: Balancing Two Conflict Metrics in MB-HTS Networks. - Kaiqiang Yu, Cheng Long:
Maximum k-Biplex Search on Bipartite Graphs: A Symmetric-BK Branching Approach. - Lan Hu, Zhongwei Luo, Runze Yuan, Yuchen Cao, Jiaxin Wei, Kai Wang, Laurent Kneip:
Incremental Semantic Localization using Hierarchical Clustering of Object Association Sets. - Dhasarathy Parthasarathy, Cecilia Ekelin, Anjali Karri, Jiapeng Sun, Panagiotis Moraitis:
Measuring design compliance using neural language models - an automotive case study. - Miao Cheng, Xinge You:
Leachable Component Clustering. - Lucas Böttcher, Gregory R. Wheeler:
Visualizing high-dimensional loss landscapes with Hessian directions. - Lulu Pan, Haibin Shao, Mehran Mesbahi, Dewei Li, Yugeng Xi:
Structural Adaptivity of Directed Networks. - Kun Jiang, Yining Shi, Benny Wijaya, Mengmeng Yang, Tuopu Wen, Zhongyang Xiao, Diange Yang:
Map Container: A Map-based Framework for Cooperative Perception. - Moeen Ali Naqvi, Sehrish Malik, Merve Astekin, Leon Moonen:
On Evaluating Self-Adaptive and Self-Healing Systems using Chaos Engineering. - Jiayi Xu, Shunsuke Yoshimoto, Naoto Ienaga, Yoshihiro Kuroda:
Intensity-Adjustable Non-contact Cold Sensation Presentation Based on the Vortex Effect. - Anne Broadbent, Martti Karvonen:
Categorical composable cryptography: extended version. - William Hager, Betseygail Rand:
How Segregation Patterns Affect the Availability of Fair District Plans. - Ningze Wang, Anoosheh Heidarzadeh, Alex Sprintson:
Multi-Message Private Information Retrieval: A Scalar Linear Solution. - Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Simon Chen, Yifan Liu, Chunhua Shen:
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image. - David W. Binkley, Leon Moonen:
Assessing the Impact of Execution Environment on Observation-Based Slicing. - Jian Du, Tianxi Ji, Jamie Cui, Lei Zhang, Yufei Lu, Pu Duan:
DP-PSI: Private and Secure Set Intersection. - Fekhr Eddine Keddous, H.-N. Nguyen, Amir Nakib:
FFCNN: Fast FPGA based Acceleration for Convolution neural network inference. - Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. - Boyang Xue, Shoukang Hu, Junhao Xu, Mengzhe Geng, Xunying Liu, Helen Meng:
Bayesian Neural Network Language Modeling for Speech Recognition. - Lev Gurevich, Ram Zamir:
Bipolar Almost Equiangular Tight Frames for NOMA Systems. - Potsawee Manakul, Mark J. F. Gales:
Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods. - Kaizhi Zheng, Kaiwen Zhou, Jing Gu, Yue Fan, Jialu Wang, Zonglin Di, Xuehai He, Xin Eric Wang:
JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents. - Matteo Saveriano, Fares J. Abu-Dakka, Ville Kyrki:
Learning Stable Robotic Skills on Riemannian Manifolds. - Md. Abubakar Siddik, Md. Rajiul Islam, Md. Mahafujur Rahman, Zannatul Ferdous, Sumonto Sarker, Most. Anju Ara Hasi, Jakia Akter Nitu:
Performance Evaluation of IEEE 802.11 for UAV-based Wireless Sensor Networks in NS-3. - Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis:
A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods. - François Labrèche, Enrico Mariconti, Gianluca Stringhini:
Shedding Light on the Targeted Victim Profiles of Malicious Downloaders. - Ruben Ascoli, Livia Betti, Jacob Lehmann Duke, Xuyan Liu, Wyatt Milgrim, Steven J. Miller, Eyvindur A. Palsson, Francisco Romero Acosta, Santiago Velazquez Iannuzzelli:
Distinct Angles and Angle Chains in Three Dimensions. - Ping-Chen Huang, Denis Kleyko, Jan M. Rabaey, Bruno A. Olshausen, Pentti Kanerva:
Computing with Hypervectors for Efficient Speaker Identification. - Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, Lucian-Stefan Ancu, Wilfried Bürzle, Stefan Koller, Olga Fink:
Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. - Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban:
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data. - Alexander Kirillovich, Konstantin Nikolaev:
Adapting the LodView RDF Browser for Navigation over the Multilingual Linguistic Linked Open Data Cloud. - Alexander Levine, Soheil Feizi:
Goal-Conditioned Q-Learning as Knowledge Distillation. - Thomas Huber, Swaroop Pophale, Nolan Baker, Michael Carr, Nikhil Rao, Jaydon Reap, Kristina Holsapple, Joshua Hoke Davis, Tobias Burnus, Seyong Lee, David E. Bernholdt, Sunita Chandrasekaran:
ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP. - Anna Luiza Gomes, Getúlio Vianna, Tatiana Escovedo, Marcos Kalinowski:
Predicting IMDb Rating of TV Series with Deep Learning: The Case of Arrow. - Abdullah Habboush, Yildiray Yildiz:
An Adaptive Pilot Model with Reaction Time-Delay. - Ben Wright, Emily C. Collins, David Cameron:
When Robots Interact with Groups, Where Does the Trust Reside? - Yao Chen, Samuel S. Streeter, Brady Hunt, Hira S. Sardar, Jason R. Gunn, Laura J. Tafe, Joseph A. Paydarfar, Brian W. Pogue, Keith D. Paulsen, Kimberley S. Samkoe:
Fluorescence molecular optomic signatures improve identification of tumors in head and neck specimens. - Peiwen Yuan, Changsheng Zhu:
Normalized Activation Function: Toward Better Convergence. - Xin Pei, Deval Mehta:
Multi-dimensional Racism Classification during COVID-19: Stigmatization, Offensiveness, Blame, and Exclusion. - Daniel Minati, Ludwik Sams, Karen Li, Bo Ji, Krishna Vardhan:
Minute ventilation measurement using Plethysmographic Imaging and lighting parameters. - Shuo-Yiin Chang, Bo Li, Tara N. Sainath, Chao Zhang, Trevor Strohman, Qiao Liang, Yanzhang He:
Turn-Taking Prediction for Natural Conversational Speech. - Shuo-Yiin Chang, Guru Prakash, Zelin Wu, Qiao Liang, Tara N. Sainath, Bo Li, Adam Stambler, Shyam Upadhyay, Manaal Faruqui, Trevor Strohman:
Streaming Intended Query Detection using E2E Modeling for Continued Conversation. - Shanxiang Lyu, Ling Liu, Junzuo Lai, Cong Ling, Hao Chen:
Lattice Codes for Lattice-Based PKE. - Dhanoop Karunakaran, Julie Stephany Berrio, Stewart Worrall, Eduardo M. Nebot:
Critical concrete scenario generation using scenario-based falsification. - Zhijian Luo, Zihan Huang, Jiahui Tang, Yueen Hou, Yanzeng Gao:
Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems. - Chen Cheng:
Real-Time Mask Detection Based on SSD-MobileNetV2. - Yimin Yin, Renye Zhang, Pengfei Liu, Wanxia Deng, Siliang He, Chen Li, Jinghua Zhang:
Artificial Neural Networks for Finger Vein Recognition: A Survey. - Steve Kerrison:
IoT Droplocks: Wireless Fingerprint Theft Using Hacked Smart Locks. - Zeyu Li, Changhong Zhang, Yi Zhang, Jiawan Zhang:
SemanticAxis: Exploring Multi-attribute Data by Semantics Construction and Ranking Analysis. - Lanh Van Nguyen, I. Torres Herrera, Trung H. Le, Manh Duong Phung, Ricardo P. Aguilera, Quang Phuc Ha:
Stag hunt game-based approach for cooperative UAVs. - Kunpeng Li, Guangcui Shao, Naijun Yang, Xiao Fang, Yang Song:
Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou. - Faysal Hossain Shezan, Yingjie Lao, Minlong Peng, Xin Wang, Mingming Sun, Ping Li:
NL2GDPR: Automatically Develop GDPR Compliant Android Application Features from Natural Language. - Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen:
Survey: Exploiting Data Redundancy for Optimization of Deep Learning. - Mostafa Eghbali Zarch, Michela Becchi:
Enabling The Feed-Forward Design Model in OpenCL Using Pipes. - Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers, Yifan Peng, Zhangyang Wang:
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study. - Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity. - Benyamin Ghojogh:
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human. - Michael A. Bekos, Martin Gronemann, Fabrizio Montecchiani, Antonios Symvonis:
Strictly-Convex Drawings of 3-Connected Planar Graphs. - Yang Li, Yunfei Su, Shixin Zhu:
Several classes of Galois self-orthogonal MDS codes. - Majid Mohammadi:
Unified Bayesian Frameworks for Multi-criteria Decision-making. - Mélodie Boillet, Christopher Kermorvant, Thierry Paquet:
Confidence Estimation for Object Detection in Document Images. - Jianbo Cui, Jialin Hong, Liying Sun:
Semi-implicit energy-preserving numerical schemes for stochastic wave equation via SAV approach. - Biying Fu, Naser Damer:
Towards Explaining Demographic Bias through the Eyes of Face Recognition Models. - Junjie Hu, Chenyou Fan, Hua Feng, Yuan Gao, Tin Lun Lam:
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer. - Md. Rezaul Karim, Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Christian Beecks, Stefan Decker:
Interpreting Black-box Machine Learning Models for High Dimensional Datasets. - Bastien Chaudet:
A scalable Lagrange-Remap scheme for compressible multimaterial Euler equations with sharp interface reconstruction. - (Withdrawn) Distributed Cooperative Control and Optimization of Connected Automated Vehicles Platoon Against Cut-in Behaviors of Social Drivers.
- Peng Wu, Lipeng Gu, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Gary Cheng, Mingqiang Wei:
PV-RCNN++: Semantical Point-Voxel Feature Interaction for 3D Object Detection. - Rui Zhong, Masaharu Munetomo:
Cooperative coevolutionary hybrid NSGA-II with Linkage Measurement Minimization for Large-scale Multi-objective optimization. - Xiaoyu Sun, Xiao Chen, Yanjie Zhao, Pei Liu, John C. Grundy, Li Li:
Mining Android API Usage to Generate Unit Test Cases for Pinpointing Compatibility Issues. - Jiehui Zhou, Xumeng Wang, Jason K. Wong, Huanliang Wang, Zhongwei Wang, Xiaoyu Yang, Xiaoran Yan, Haozhe Feng, Huamin Qu, Haochao Ying, Wei Chen:
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy. - Johan Bergelin, Per Erik Strandberg:
Industrial Requirements for Supporting AI-Enhanced Model-Driven Engineering. - Hao Xu, Bo Li, Fei Zhong:
Light-YOLOv5: A Lightweight Algorithm for Improved YOLOv5 in Complex Fire Scenarios. - Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu:
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. - Stefano M. Nicoletti, Ernst Moritz Hahn, Mariëlle Stoelinga:
BFL: a Logic to Reason about Fault Trees. - (Withdrawn) Distributed Observers-based Cooperative Platooning Tracking Control and Intermittent Optimization for Connected Automated Vehicles with Unknown Jerk Dynamics.
- Sun Woo Park, Yun Young Choi, Dosang Joe, U Jin Choi, Youngho Woo:
The PWLR Graph Representation: A Persistent Weisfeiler-Lehman scheme with Random Walks for Graph Classification. - Andrej Dudenhefner:
Constructive Many-one Reduction from the Halting Problem to Semi-unification (Extended Version). - Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu:
Towards In-distribution Compatibility in Out-of-distribution Detection. - (Withdrawn) Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flows in Smart Cities- Part I. Fundamentals, Theoretical and Automatic Decision Framework.
- Yifeng Zhou, Chuming Lin, Donghao Luo, Yong Liu, Ying Tai, Chengjie Wang, Mingang Chen:
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution. - Zhitong Lai, Haichao Sun, Rui Tian, Nannan Ding, Zhiguo Wu, Yanjie Wang:
Rethinking Skip Connections in Encoder-decoder Networks for Monocular Depth Estimation. - Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng:
Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. - Sabine Cornelsen, Gregor Diatzko:
Planar Confluent Orthogonal Drawings of 4-Modal Digraphs. - Isabella Graßl, Gordon Fraser:
Gender-dependent Contribution, Code and Creativity in a Virtual Programming Course. - Florian Obermüller, Robert Pernerstorfer, Lisa Bailey, Ute Heuer, Gordon Fraser:
Common Patterns in Block-Based Robot Programs. - Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. - Shubo Kang, Keyou You:
Minimum Input Design for Direct Data-driven Property Identification of Unknown Linear Systems. - Luisa Greifenstein, Isabella Graßl, Ute Heuer, Gordon Fraser:
Common Problems and Effects of Feedback on Fun When Programming Ozobots in Primary School. - Bruno Mazorra, Michael Reynolds, Vanesa Daza:
Price of MEV: Towards a Game Theoretical Approach to MEV. - Shitong Sun, Chenyang Si, Shaogang Gong, Guile Wu:
Federated Zero-Shot Learning with Mid-Level Semantic Knowledge Transfer. - Farhad Keramat, Jorge Peña Queralta, Tomi Westerlund:
Partition-Tolerant and Byzantine-Tolerant Decision-Making for Distributed Robotic Systems with IOTA and ROS 2. - Mohamed Toufik Ailane, Christoph Knieke, Andreas Rausch:
How to Extend the Abstraction Refinement Model for Systems with Emergent Behavior ? - Yifan Jin, Jiangmeng Li, Zheng Lian, Chengbo Jiao, Xiaohui Hu:
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest. - Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan:
Prompt Tuning with Soft Context Sharing for Vision-Language Models. - Gopal Priyadarshi, Sila Övgü Korkut:
Comparative work for the source identification in parabolic inverse problem based on Taylor and Chebyshev wavelet methods. - Rui Ma, Ning Liu, Jingsong Yuan, Huafeng Yang, Jiandong Zhang:
CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment. - Joaquin Rodriguez, Lew Fock Chong Lew Yan Voon, Renato Martins, Olivier Morel:
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras. - Sadra Sabouri, Elnaz Rahmati, Soroush Gooran, Hossein Sameti:
naab: A ready-to-use plug-and-play corpus for Farsi. - Xinyao Liu, Shengdong Du, Tianrui Li, Fei Teng, Yan Yang:
A Missing Value Filling Model Based on Feature Fusion Enhanced Autoencoder. - Peter Súkeník, Christoph H. Lampert:
Generalization In Multi-Objective Machine Learning. - Kai Li, Yingping Cui, Weicai Li, Tiejun Lv, Xin Yuan, Shenghong Li, Wei Ni, Meryem Simsek, Falko Dressler:
When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds. - Carlos Echegoyen, Aritz Pérez, Guzmán Santafé, Unai Pérez-Goya, María Dolores Ugarte:
Semantic Clustering of a Sequence of Satellite Images. - Amani Abusafia, Athman Bouguettaya, Abdallah Lakhdari:
Quality of Experience Optimization in IoT Energy Services. - Weiming Sun, Zimao Zhang:
Fourier series (based) multiscale method for computational analysis in science and engineering: VI. Fourier series multiscale solution for wave propagation in a beam with rectangular cross section. - Christofer Meinecke:
Labeling of Cultural Heritage Collections on the Intersection of Visual Analytics and Digital Humanities. - (Withdrawn) Distributed Dynamic Platoons Control and Junction Crossing Optimization for Mixed Traffic Flow in Smart Cities- Part II. Stability, Optimization, and Performance Analysis.
- Christian Kohlschmidt, Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Detecting Surprising Situations in Event Data. - Björn Deiseroth, Patrick Schramowski, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting:
LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems. - Jamal El-Ouahi, Vincent Larivière:
On the lack of women researchers in the Middle East & North Africa. - Zainab Razia Zaidi, Mengbin Ye, Fergus John Samon, Abdisalam Jama, Binduja Gopalakrishnan, Chenhao Gu, Shanika Karunasekera, Jamie S. Evans, Yoshihisa Kashima:
Demystifying the COVID-19 vaccine discourse on Twitter. - Deepak Kushwaha, Dhruv Nandakumar, Akshay Kakkar, Sanvi Gupta, Kevin Choi, Christopher Redino, Abdul Rahman, Sabthagiri Saravanan Chandramohan, Edward Bowen, Matthew Weeks, Aaron Shaha, Joe Nehila:
Lateral Movement Detection Using User Behavioral Analysis. - Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh:
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. - Andrei A. Krokhin, Jakub Oprsal:
An invitation to the promise constraint satisfaction problem. - Wietse M. Boon, Alessio Fumagalli:
A multipoint vorticity mixed finite element method for incompressible Stokes flow. - Paola Torrico Morón, Salma Salimi, Jorge Peña Queralta, Tomi Westerlund:
UWB Role Allocation with Distributed Ledger Technologies for Scalable Relative Localization in Multi-Robot Systems. - Hang Chen, Xinyu Yang, Xiang Li:
Learning a General Clause-to-Clause Relationships for Enhancing Emotion-Cause Pair Extraction. - Vivek Chandel, Snehasis Banerjee, Avik Ghose:
ProxiTrak: Intelligent Enablement of Social Distancing & Contact Tracing for a Safer Workplace in the New Normal. - Ruben Sangers, Jan van Gemert, Sander van Cranenburgh:
Explainability of Deep Learning models for Urban Space perception. - Marco Vassena, Alejandro Russo, Deepak Garg, Vineet Rajani, Deian Stefan:
From Fine- to Coarse-Grained Dynamic Information Flow Control and Back, a Tutorial on Dynamic Information Flow. - Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong:
PECAN: A Product-Quantized Content Addressable Memory Network. - Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan:
Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++. - Alexandra E. Michael, Anitha Gollamudi, Jay Bosamiya, Craig Disselkoen, Aidan Denlinger, Conrad Watt, Bryan Parno, Marco Patrignani, Marco Vassena, Deian Stefan:
MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code. - Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro, Paal Engelstad:
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures. - Vanessa R. C. Leite, Zhe Su, Adrian M. Whatley, Giacomo Indiveri:
Cortical-inspired placement and routing: minimizing the memory resources in multi-core neuromorphic processors. - Edgar Galván, Gavin Simpson, Fred Valdez Ameneyro:
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne. - Magdalena Stachon, Marcin Pietron:
Chosen methods of improving object recognition of small objects with weak recognizable features. - Debaditya Pal, Kaustubh Chaudhari, Harsh Sharma:
Combating high variance in Data-Scarce Implicit Hate Speech Classification. - Felix Bartel, Lutz Kämmerer, Daniel Potts, Tino Ullrich:
On the reconstruction of functions from values at subsampled quadrature points. - Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li:
Towards Robust Face Recognition with Comprehensive Search. - Conrado Martínez, Cyril Nicaud, Pablo Rotondo:
A Probabilistic Model Revealing Shortcomings in Lua's Hybrid Tables. - Peter Kritzer:
A note on the CBC-DBD construction of lattice rules with general positive weights. - Eugene Golikov, Eduard Pokonechny, Vladimir Korviakov:
Neural Tangent Kernel: A Survey. - Michael A. Bekos, Giordano Da Lozzo, Fabrizio Frati, Martin Gronemann, Tamara Mchedlidze, Chrysanthi N. Raftopoulou:
Recognizing DAGs with Page-Number 2 is NP-complete. - Kris Coward, D. R. Toliver:
Simple Rigs Hold Fast. - Felix Hausberger, Marcelo Fonseca Faraj, Christian Schulz:
A Distributed Multilevel Memetic Algorithm for Signed Graph Clustering. - Jiekai Jia, Anam Tahir, Heinz Koeppl:
Decentralized Coordination in Partially Observable Queueing Networks. - Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme:
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. - Mustafa Shukor, Guillaume Couairon, Matthieu Cord:
Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment. - Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li:
A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions. - Angelina Maksimova:
A systematic review of research on the use and impact of technology for learning Chinese. - Patric Feldmeier, Gordon Fraser:
Neuroevolution-Based Generation of Tests and Oracles for Games. - Ernestine Großmann, Sebastian Lamm, Christian Schulz, Darren Strash:
Finding Near-Optimal Weight Independent Sets at Scale. - Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu:
How to Teach: Learning Data-Free Knowledge Distillation from Curriculum. - Carlo Michele Valensise, Ivana Grecco, Davide Pierangeli, Claudio Conti:
Large-scale photonic natural language processing. - Sobhan Hemati, Shivam Kalra, Morteza Babaie, Hamid R. Tizhoosh:
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search. - Theodoros Katsaounis, Grigorios Kounadis, Ioanna Mousikou, Athanasios E. Tzavaras:
Optimization Methods for One Dimensional Elastodynamics. - Marzieh Hashemipour-Nazari, Kees Goossens, Alexios Balatsoukas-Stimming:
Multi-Factor Pruning for Recursive Projection-Aggregation Decoding of RM Codes. - Dawei Wang, Kaiqin Lai, Ying Yu, Qi Sui, Zhaohui Li:
Jacobian Methods for Dynamic Polarization Control in Optical Applications. - Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. - Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti:
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning. - Pengfei Zhu, Xinjie Yao, Yu Wang, Meng Cao, Binyuan Hui, Shuai Zhao, Qinghua Hu:
Latent Heterogeneous Graph Network for Incomplete Multi-View Learning. - Abtin Molavi, Amanda Xu, Martin Diges, Lauren Pick, Swamit S. Tannu, Aws Albarghouthi:
Qubit Mapping and Routing via MaxSAT. - Vladimir Toro, Duvan Tellez-Castro, Eduardo Mojica-Nava, Naly Rakoto-Ravalontsalama:
Data-Driven Distributed Voltage Control for Microgrids: A Koopman-based Approach. - Taolin Zhang, Chuan Chen, Yaomin Chang, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Georgios Bakirtzis, Michail Savvas, Ufuk Topcu:
Categorical semantics of compositional reinforcement learning. - Amandus Krantz, Christian Balkenius, Birger Johansson:
Using Speech to Reduce Loss of Trust in Humanoid Social Robots. - Li Duan, Gerardo Aragon-Camarasa:
A Data-Centric Approach For Dual-Arm Robotic Garment Flattening. - Anupam Gupta, Benjamin Moseley, Rudy Zhou:
Minimizing Completion Times for Stochastic Jobs via Batched Free Times. - Zhiwei Tai, Leixian Shen, Enya Shen, Jianmin Wang:
Graph Exploration with Embedding-Guided Layouts. - Franziska Eberle, Anupam Gupta, Nicole Megow, Benjamin Moseley, Rudy Zhou:
Configuration Balancing for Stochastic Requests. - Hui Zhou, Ken Raffenetti, Yanfei Guo, Rajeev Thakur:
MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming. - Amr K. Shafik, Seifeldeen Eteifa, Hesham Rakha:
Optimization of Vehicle Trajectories Considering Uncertainty in Actuated Traffic Signal Timings. - Zhe Feng, Swati Padmanabhan, Di Wang:
Online Bidding Algorithms for Return-on-Spend Constrained Advertisers. - Qingsong Yan, Qiang Wang, Kaiyong Zhao, Bo Li, Xiaowen Chu, Fei Deng:
SphereDepth: Panorama Depth Estimation from Spherical Domain. - Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch:
On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings. - Jun Ling, Xu Tan, Liyang Chen, Runnan Li, Yuchao Zhang, Sheng Zhao, Li Song:
StableFace: Analyzing and Improving Motion Stability for Talking Face Generation. - Zhendong Wang, Xiaoming Zeng, Xulong Tang, Danfeng Zhang, Xing Hu, Yang Hu:
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System. - Chang Liu, Yujie Zhong, Andrew Zisserman, Weidi Xie:
CounTR: Transformer-based Generalised Visual Counting. - Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira:
Open-Set Semi-Supervised Object Detection. - Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone:
Bayesian Continual Learning via Spiking Neural Networks. - Zixiao Zhao, Qinghe Du, George K. Karagiannidis:
Improved Grant-Free Access for URLLC via Multi-Tier-Driven Computing: Network-Load Learning, Prediction, and Resource Allocation. - Marzieh Arasteh, Narges Yarahmadi Gharaei, Mehrdad Ardebilipour:
Optimization of Spectral Efficiency in Cell-Free massive MIMO Systems Using Deep Neural Networks. - Mohammadreza Robaei, Robert Akl:
Compressible Topological Vector Spaces. - Haochen Zhu, Gang Cao, Mo Zhao:
Effective Image Tampering Localization via Semantic Segmentation Network. - Farzaneh Derakhshan, Stephanie Balzer:
Recursive Session Logical Relations. - Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. - Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier:
A Quantitative and Qualitative Analysis of the Robustness of (Real-World) Election Winners. - Hugo Yèche, Alizée Pace, Gunnar Rätsch, Rita Kuznetsova:
Temporal Label Smoothing for Early Prediction of Adverse Events. - Erik Faust, Alexander Schlüter, Henning Müller, Ralf Müller:
A Lattice Boltzmann Method for nonlinear solid mechanics in the reference configuration. - Abdoul Wahid Mainassara Checkaraou, Xavier Besseron, Alban Rousset, Fenglei Qi, Bernhard Peters:
Local Verlet buffer approach for broad-phase interaction detection in Discrete Element Method. - Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi:
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization. - Shishuai Hu, Zehui Liao, Yong Xia:
Boundary-Aware Network for Abdominal Multi-Organ Segmentation. - Vinayak Gupta, Srikanta Bedathur:
Modeling Spatial Trajectories using Coarse-Grained Smartphone Logs. - A. N. Kirdin, Sergey V. Sidorov, Nikolai Yu. Zolotykh:
Rosenblatt's first theorem and frugality of deep learning. - Navid Ansari, Hans-Peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei:
Autoinverse: Uncertainty Aware Inversion of Neural Networks. - Patrick Guidotti:
Dimension Independent Data Sets Approximation and Applications to Classification. - Mathias Hauptmann, Ronja Tiling:
Randomized Approximation Schemes for the Tutte Polynomial and Random Clustering in Subdense and Superdense Graphs. - Chaouki Ben Issaid, Anis Elgabli, Mehdi Bennis:
DR-DSGD: A Distributionally Robust Decentralized Learning Algorithm over Graphs. - André Brasil Vieira Wyzykowski, Anil K. Jain:
Synthetic Latent Fingerprint Generator. - Dorota Celinska-Kopczynska, Eryk Kopczynski:
Generating Regular Hyperbolic Honeycombs. - Maximilian Gelbrecht, Alistair White, Sebastian Bathiany, Niklas Boers:
Differentiable Programming for Earth System Modeling. - Jacob Collard, Valeria de Paiva, Brendan Fong, Eswaran Subrahmanian:
Extracting Mathematical Concepts from Text. - Wilson Y. Lee, J. Nicholas Hobbs:
Evolving Label Usage within Generation Z when Self-Describing Sexual Orientation. - Helmand Shayan, Kai Krycki, Marco Doemeland, Markus Lange-Hegermann:
PGNAA Spectral Classification of Metal with Density Estimations. - Dvij Kalaria, Aritra Hazra, Partha Pratim Chakrabarti:
Towards Adversarial Purification using Denoising AutoEncoders. - Benjamin Kossack, Eric L. Wisotzky, Peter Eisert, Sebastian P. Schraven, Brigitta Globke, Anna Hilsmann:
Perfusion assessment via local remote photoplethysmography (rPPG). - Yuan Yang, Keith McGreggor, Maithilee Kunda:
Visual-Imagery-Based Analogical Construction in Geometric Matrix Reasoning Task. - Shanelle G. Clarke, Omanshu Thapliyal, Inseok Hwang:
Provably Stabilizing Model-Free Q-Learning for Unknown Bilinear Systems. - Yutian Pang, Zehua Guo, Binnan Zhuang:
ProspectNet: Weighted Conditional Attention for Future Interaction Modeling in Behavior Prediction. - Saba Amanollahi, Mehdi Kamal, Ali Afzali-Kusha, Massoud Pedram:
AMR-MUL: An Approximate Maximally Redundant Signed Digit Multiplier. - Dvij Kalaria, Qin Lin, John M. Dolan:
Delay-aware Robust Control for Safe Autonomous Driving and Racing. - Xiuqiang He, Verena Häberle, Florian Dörfler:
Complex-Frequency Synchronization of Converter-Based Power Systems. - Ankush Acharyya, Ramesh K. Jallu, Vahideh Keikha, Maarten Löffler, Maria Saumell:
Minimum color spanning circle of imprecise points. - Mark Gerarts, Marc de Hoog, Nico Naus, Tim Steenvoorden:
Creating Interactive Visualizations of TopHat Programs. - Mikhail Krechetov:
Inference and Optimization for Engineering and Physical Systems. - Abhijeet Sahu, Bin Mai, Katherine R. Davis, Ana E. Goulart:
Toward a Mathematical Vulnerability Propagation and Defense Model in Smart Grid Networks. - Satwik Patnaik, Vasudev Gohil, Hao Guo, Jeyavijayan Rajendran:
Reinforcement Learning for Hardware Security: Opportunities, Developments, and Challenges. - Abbas Alpaslan Kocer, Yunus Emre Yuksel, Murat Ozturk:
Investigation of A Biomass Gasification System Based on Energy and Exergy Analysis. - Azadeh Jahanbanifar, Ferhat Khendek, Maria Toeroe:
Resolving inconsistencies of runtime configuration changes through change propagation and adjustments. - Emily Wenger, Xiuyu Li, Ben Y. Zhao, Vitaly Shmatikov:
Data Isotopes for Data Provenance in DNNs. - Prajna M. Bhat, Yuhang Zhao:
"I was Confused by It; It was Confused by Me: " Exploring the Experiences of People with Visual Impairments around Mobile Service Robots. - Payman Behnam, Uday Kamal, Saibal Mukhopadhyay:
An Algorithm-Hardware Co-design Framework to Overcome Imperfections of Mixed-signal DNN Accelerators. - Reilly Raab, Luca de Alfaro, Yang Liu:
Conjugate Natural Selection. - Lu Cheng, Nayoung Kim, Huan Liu:
Debiasing Word Embeddings with Nonlinear Geometry. - Erfan Pakdamanian, Erzhen Hu, Shili Sheng, Sarit Kraus, Seongkook Heo, Lu Feng:
Enjoy the Ride Consciously with CAWA: Context-Aware Advisory Warnings for Automated Driving. - Jonas Annuscheit:
Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge. - Zayd Hammoudeh, Daniel Lowd:
Reducing Certified Regression to Certified Classification. - Li Chen, Ellis Hoag, Kyungwoo Lee, Julián Mestre, Sergey Pupyrev:
Minimum Coverage Instrumentation. - Ka Yung Cheng, Helmand Shayan, Kai Krycki, Markus Lange-Hegermann:
"Prompt-Gamma Neutron Activation Analysis (PGNAA)" Metal Spectral Classification using Deep Learning Method. - Yahya Sattar, Samet Oymak, Necmiye Ozay:
Finite Sample Identification of Bilinear Dynamical Systems. - Vincent Cohen-Addad, Chenglin Fan, Euiwoong Lee, Arnaud de Mesmay:
Fitting Metrics and Ultrametrics with Minimum Disagreements. - Cong Mu, Youngser Park, Carey E. Priebe:
Dynamic Network Sampling for Community Detection. - Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin B. Clement, Neel Sundaresan, Michele Tufano:
Exploring and Evaluating Personalized Models for Code Generation. - Samuel Wilson, Tobias Fischer, Feras Dayoub, Niko Sünderhauf:
Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers. - Zikai Xiong, Robert M. Freund:
Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization. - Yingfu Xu, Guido C. H. E. de Croon:
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial Odometry. - Le Jiang, Shuangjun Liu, Xiangyu Bai, Sarah Ostadabbas:
Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data. - Junxiang Huang, Alexander Huang, Beatriz C. Guerra, Yen-Yun Yu:
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification. - Tomás Alves Salgueiro, Emilio Recart Zapata, Damián Ariel Furman, Juan Manuel Pérez, Pablo Nicolás Fernández Larrosa:
A Spanish dataset for Targeted Sentiment Analysis of political headlines. - Namrata Nath, Sang-Heon Lee, Ivan Lee:
NEAR: Named Entity and Attribute Recognition of clinical concepts. - Rongfei Chen, Wenju Zhou, Yang Li, Huiyu Zhou:
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis. - Xintong Qin, Zhengyu Song, Tianwei Hou, Wenjuan Yu, Jun Wang, Xin Sun:
Joint Optimization of Resource Allocation, Phase Shift and UAV Trajectory for Energy-Efficient RIS-Assisted UAV-Enabled MEC Systems. - Yuji Saikai:
The case for fully Bayesian optimisation in small-sample trials. - Nikolaos Skouloudis, Alexandre Megretski:
Mathematical certification of motion planning on uncertain terrain with limited perception: a case study. - Zhengyu Song, Xintong Qin, Yuanyuan Hao, Tianwei Hou, Jun Wang, Xin Sun:
A Comprehensive Survey on Aerial Mobile Edge Computing: Challenges, State-of-the-Art, and Future Directions. - Shoma Shimizu, Takayuki Nishio, Shota Saito, Yoichi Hirose, Yen-Hsiu Chen, Shinichi Shirakawa:
Neural Architecture Search for Improving Latency-Accuracy Trade-off in Split Computing. - Xintong Qin, Zhengyu Song, Tianwei Hou, Wenjuan Yu, Jun Wang, Xin Sun:
Joint Resource Allocation and Configuration Design for STAR-RIS-Enhanced Wireless-Powered MEC. - Shlok Mohta, Hisahiro Suganuma, Yoshiki Tanaka:
MRL: Learning to Mix with Attention and Convolutions. - James E. Powell, Martin Klein, Lyudmila Balakireva:
Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles. - Lekan P. Molu:
Comments on "Time-Varying Lyapunov Functions for Tracking Control of Mechanical Systems With and Without Frictions". - Bonil Shah, Pokhar Mal Jat, Kalyan Sashidhar:
Performance Study of Time Series Databases. - Rohail Asim, Muhammad Khan, Luis Díez, Shiva R. Iyer, Ramón Agüero, Lakshmi Subramanian, Yasir Zaki:
ZEUS: An Experimental Toolkit for Evaluating Congestion Control Algorithms in 5G Environments. - Jiangbo Pei, Zhuqing Jiang, Aidong Men, Liang Chen, Yang Liu, Qingchao Chen:
Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation. - Weimin Zhu, Yi Zhang, Duancheng Zhao, Jianrong Xu, Ling Wang:
HiGNN: Hierarchical Informative Graph Neural Networks for Molecular Property Prediction Equipped with Feature-Wise Attention. - Hao Wang, Yangguang Li, Zhen Huang, Yong Dou:
IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification. - Yuan Yue, Dirk De Ridder, Patrick Manning, Samantha Ross, Jeremiah D. Deng:
Finding neural signatures for obesity using source-localized EEG features. - Shengnan Di:
Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks. - Tom Sprunck, Yannick Privat, Cédric Foy, Antoine Deleforge:
Gridless 3D Recovery of Image Sources from Room Impulse Responses. - Edward Vendrow, Satyajit Kumar, Ehsan Adeli, Hamid Rezatofighi:
SoMoFormer: Multi-Person Pose Forecasting with Transformers. - Robert Schmier, Ullrich Köthe, Christoph-Nikolas Straehle:
Anomaly Detection using Contrastive Normalizing Flows. - Shuai Ma, Yunqi Zhang, Haihong Sheng, Hang Li, Jia Shi, Long Yang, Youlong Wu, Naofal Al-Dhahir, Shiyin Li:
Optimal Probabilistic Constellation Shaping for Covert Communications. - Xiang Liu, Hongyuan Wang, Zhiqiang Yan, Yu Chen, Xinlong Chen, Weichun Chen:
Spacecraft depth completion based on the gray image and the sparse depth map. - (Withdrawn) Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning.
- Woon-Ha Yeo, Wang-Taek Oh, Kyung-Su Kang, Young-Il Kim, Han-Cheol Ryu:
CAIR: Fast and Lightweight Multi-Scale Color Attention Network for Instagram Filter Removal. - Zhifang Li, Xiaojie Chen, Han-Xin Yang, Attila Szolnoki:
Game-theoretical approach for opinion dynamics on social networks. - Andrea Bionda, Luca Frittoli, Giacomo Boracchi:
Deep Autoencoders for Anomaly Detection in Textured Images using CW-SSIM. - Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
A Deep Neural Networks ensemble workflow from hyperparameter search to inference leveraging GPU clusters. - Yang Cao, Pan Wang, Kang Zheng, Xianghu Liang, Dongjie Liu, Mengting Lou, Jing Jin, Qixing Wang, Dongming Wang, Yongming Huang, Xiaohu You, Jiangzhou Wang:
Experimental Performance Evaluation of Cell-free Massive MIMO Systems Using COTS RRU with OTA Reciprocity Calibration and Phase Synchronization. - Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks. - Songbin Chen:
Intelligent Perception System for Vehicle-Road Cooperation. - Moataz M. Alghamdi, Daniele Boffi, Francesca Bonizzoni:
A greedy MOR method for the tracking of eigensolutions to parametric elliptic PDEs. - Mohammadreza Doostmohammadian, Alireza Aghasi, Apostolos I. Rikos, Andreas Grammenos, Evangelia Kalyvianaki, Christoforos N. Hadjicostis, Karl Henrik Johansson, Themistoklis Charalambous:
Distributed CPU Scheduling Subject to Nonlinear Constraints. - Pierrick Pochelu, Clara Erard, Philippe Cordier, Serge G. Petiton, Bruno Conche:
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images. - Zhongkai Tong, Ziyuan Zhu, Yusha Zhang, Yuxin Liu, Dan Meng:
Attack detection based on machine learning algorithms for different variants of Spectre attacks and different Meltdown attack implementations. - Stefano Della Fiore, Marco Dalai, Ugo Vaccaro:
Achievable Rates and Algorithms for Group Testing with Runlength Constraints. - Luca Frittoli, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Giacomo Boracchi:
Deep Open-Set Recognition for Silicon Wafer Production Monitoring. - Vladimir Pislyakov:
On some properties of medians, percentiles, baselines, and thresholds in empirical bibliometric analysis. - Li Sun, Junda Ye, Hao Peng, Philip S. Yu:
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. - Pihe Hu, Ling Pan, Yu Chen, Zhixuan Fang, Longbo Huang:
Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning. - Mohammadreza Doostmohammadian, Wei Jiang, Themistoklis Charalambous:
DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation. - Zicheng Zhang, Wei Sun, Xiongkuo Min, Yu Fan, Guangtao Zhai:
Treating Point Cloud as Moving Camera Videos: A No-Reference Quality Assessment Metric. - Fengxiang He, Dacheng Tao:
Super-model ecosystem: A domain-adaptation perspective. - Yi Li, Wenjie Pei, Zhenyu He:
SSORN: Self-Supervised Outlier Removal Network for Robust Homography Estimation. - Amyra Meidiana, Seok-Hee Hong, Peter Eades:
Shape-Faithful Graph Drawings. - Chengjie Yuan, Yunlei Shi, Qian Feng, Chunyang Chang, Zhaopeng Chen, Alois C. Knoll, Jianwei Zhang:
Sim-to-Real Transfer of Robotic Assembly with Visual Inputs Using CycleGAN and Force Control. - Domenico Cotroneo, Luigi De Simone, Roberto Natella:
On Temporal Isolation Assessment in Virtualized Railway Signaling as a Service Systems. - Haishuo Fang, Ji-Ung Lee, Nafise Sadat Moosavi, Iryna Gurevych:
Transformers with Learnable Activation Functions. - Seung Hyun Lee, Chanyoung Kim, Wonmin Byeon, Gyeongrok Oh, Jooyoung Lee, Sang Ho Yoon, Jinkyu Kim, Sangpil Kim:
Robust Sound-Guided Image Manipulation. - Mohammadreza Doostmohammadian, Usman A. Khan, Alireza Aghasi, Themistoklis Charalambous:
Distributed Constraint-Coupled Optimization over Lossy Networks. - Petros Vavaroutsos, Ioannis Oroutzoglou, Dimosthenis Masouros, Dimitrios Soudris:
Towards making the most of NLP-based device mapping optimization for OpenCL kernels. - Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr:
A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. - Giuseppe Di Battista, Walter Didimo, Luca Grilli, Fabrizio Grosso, Giacomo Ortali, Maurizio Patrignani, Alessandra Tappini:
Small Point-Sets Supporting Graph Stories. - Fangqi Li, Shilin Wang, Yun Zhu:
Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers. - Andrea Munari, Leonardo Badia:
The Role of Feedback in AoI Optimization Under Limited Transmission Opportunities. - Vincent Cohen-Addad, Jason Li:
On the Fixed-Parameter Tractability of Capacitated Clustering. - Jorge Ejarque, Pau Andrio, Adam Hospital, Javier Conejero, Daniele Lezzi, Josep Lluis Gelpí, Rosa M. Badia:
The BioExcel methodology for developing dynamic, scalable, reliable and portable computational biomolecular workflows. - Johannes Blum, Yann Disser, Andreas Emil Feldmann, Siddharth Gupta, Anna Zych-Pawlewicz:
On Sparse Hitting Sets: from Fair Vertex Cover to Highway Dimension. - Yong Zhong, Hongtao Liu, Xiaodong Liu, Fan Bao, Weiran Shen, Chongxuan Li:
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models. - Ioannis Krikidis, Constantinos Psomas, Symeon Chatzinotas:
Vector Perturbation Channel Inversion for SWIPT MU-MISO Systems. - Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci:
On the Trade-Off between Actionable Explanations and the Right to be Forgotten. - Siyu Yuan, Deqing Yang, Jiaqing Liang, Jilun Sun, Jingyue Huang, Kaiyan Cao, Yanghua Xiao, Rui Xie:
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension. - Carlos Alegría, Giordano Da Lozzo, Giuseppe Di Battista, Fabrizio Frati, Fabrizio Grosso, Maurizio Patrignani:
Unit-length Rectangular Drawings of Graphs. - Jianlong Yuan, Qi Qian, Fei Du, Zhibin Wang, Fan Wang, Yifan Liu:
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation. - Miguel Altamirano Cabrera, Jonathan Tirado, Juan Heredia, Dzmitry Tsetserukou:
LinkGlide-S: A Wearable Multi-Contact Tactile Display Aimed at Rendering Object Softness at the Palm with Impedance Control in VR and Telemanipulation. - Ewa Duda:
Building the Learning Environment for Sustainable Development: a Co-creation approach. - Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi:
Weight-variant Latent Causal Models. - Irene Gómez-Bueno, Sebastiano Boscarino, Manuel Jesús Castro Díaz, Carlos Parés, Giovanni Russo:
Implicit and semi-implicit well-balanced finite-volume methods for systems of balance laws. - Shibarchi Majumder, Jens Frederik Dalsgaard Nielsen, Thomas Bak:
Ærø: A Platform Architecture for Mixed-Criticality Airborne Systems. - Anyi Huang, Qian Xie, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang:
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches. - Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Kun Zhang, Javen Qinfeng Shi:
Identifying Latent Causal Content for Multi-Source Domain Adaptation. - Ioan Alexandru Puiu, Raphael Andreas Hauser:
A fundamental Game Theoretic model and approximate global Nash Equilibria computation for European Spot Power Markets. - Hua Lu, Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang:
Towards Boosting the Open-Domain Chatbot with Human Feedback. - Fabian Herzog, Junpeng Chen, Torben Teepe, Johannes Gilg, Stefan Hörmann, Gerhard Rigoll:
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities. - Marilena Jianu, Leonard Daus, Vlad-Florin Dragoi, Valeriu Beiu:
Consecutive k-out-of-n: F Systems Have Unbounded Roots. - Roberto García, Ana Cediel, Mercè Teixidó, Rosa Gil:
Semantics and Non-Fungible Tokens for Copyright Management on the Metaverse and Beyond. - Aparajita Haldar, Teddy Cunningham, Hakan Ferhatosmanoglu:
RAGUEL: Recourse-Aware Group Unfairness Elimination. - Filipe Arantes Fernandes, Claudia Susie Camargo Rodrigues, Eldânae Nogueira Teixeira, Cláudia M. L. Werner:
Immersive Learning Frameworks: A Systematic Literature Review. - Daria Trinitatova, Miguel Altamirano Cabrera, Polina Ponomareva, Aleksey Fedoseev, Dzmitry Tsetserukou:
Exploring the Role of Electro-Tactile and Kinesthetic Feedback in Telemanipulation Task. - Lichen Jia, Bowen Tang, Chenggang Wu, Zhe Wang, Zihan Jiang, Yuanming Lai, Yan Kang, Ning Liu, Jingfeng Zhang:
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods. - Tara Ghasempouri, Jaan Raik, Cezar Reinbrecht, Said Hamdioui, Mottaqiallah Taouil:
Survey on Architectural Attacks: A Unified Classification and Attack Model. - Silvio Galesso, María Alejandra Bravo, Mehdi Naouar, Thomas Brox:
Probing Contextual Diversity for Dense Out-of-Distribution Detection. - Adam Thelen, Xiaoge Zhang, Olga Fink, Yan Lu, Sayan Ghosh, Byeng D. Youn, Michael D. Todd, Sankaran Mahadevan, Chao Hu, Zhen Hu:
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies. - Jacopo Pegoraro, Marco Canil, Anish Shastri, Paolo Casari, Michele Rossi:
ORACLE: Occlusion-Resilient And self-Calibrating mmWave Radar Network for People Tracking. - Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan:
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer. - Clément Boin, Xavier Guillaume, Gilles Grimaud, Tristan Groléat, Michaël Hauspie:
One Year of DDoS Attacks Against a Cloud Provider: an Overview. - Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma:
A Circular Window-based Cascade Transformer for Online Action Detection. - Daichi Amagata, Yusuke Arai, Sumio Fujita, Takahiro Hara:
Learned k-NN Distance Estimation. - Michel Frising, Jorge Bravo-Abad, Ferry Prins:
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks. - Seyed Mohammad Azimi-Abarghouyi, Harpreet S. Dhillon, Leandros Tassiulas:
Fundamentals of Clustered Molecular Nanonetworks. - Sarah Katz, Alfonso Caiazzo, Baptiste Moreau, Ulrich Wilbrandt, Jan Brüning, Leonid Goubergrits, Volker John:
Impact of Turbulence Modeling on the Simulation of Blood Flow in Aortic Coarctation. - Christopher Blöcker, Jelena Smiljanic, Ingo Scholtes, Martin Rosvall:
Similarity-based Link Prediction from Modular Compression of Network Flows. - Ligeng Chen, Zhongling He, Hao Wu, Yuhang Gong, Bing Mao:
AVMiner: Expansible and Semantic-Preserving Anti-Virus Labels Mining Method. - Tawfiq M. Aljohani:
Cyberattacks on Energy Infrastructures: Modern War Weapons. - Nicolò Botteghi, Mannes Poel, Christoph Brune:
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review. - Midhun Vayyat, Jaswin Kasi, Anuraag Bhattacharya, Shuaib Ahmed, Rahul Tallamraju:
CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation. - Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin:
EasyScale: Accuracy-consistent Elastic Training for Deep Learning. - Virginia Ardévol Martínez, Marco Caoduro, Laurent Feuilloley, Jonathan Narboni, Pegah Pournajafi, Jean-Florent Raymond:
Lower bound for constant-size local certification. - Jiahui Chen, Xu Guo, Wensheng Gan, Shicheng Wan, Philip S. Yu:
A Generic Algorithm for Top-K On-Shelf Utility Mining. - Seoyoung Hong, Heejoo Shin, Jeongwhan Choi, Noseong Park:
Prediction-based One-shot Dynamic Parking Pricing. - Espen Haugsdal, Erlend Aune, Massimiliano Ruocco:
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting. - Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma:
Boosting Night-time Scene Parsing with Learnable Frequency. - Mustapha Hamad, Michèle A. Wigger, Mireille Sarkiss:
Multi-Hop Network with Multiple Decision Centers under Expected-Rate Constraints. - Tsubasa Nakagawa, Shunsuke Kitada, Hitoshi Iyatomi:
Expressions Causing Differences in Emotion Recognition in Social Networking Service Documents. - Takao Miki:
Self-support topology optimization considering distortion and overheating for metal additive manufacturing. - Grzegorz Gutowski, Florian Mittelstädt, Ignaz Rutter, Joachim Spoerhase, Alexander Wolff, Johannes Zink:
Coloring Mixed and Directional Interval Graphs. - Shubham Toshniwal:
Efficient and Interpretable Neural Models for Entity Tracking. - Mingyang Yue, Lei Liu, Xiaojun Yuan:
RIS-Aided Multiuser MIMO-OFDM with Linear Precoding and Iterative Detection: Analysis and Optimization. - Dániel Horpácsi, Péter Bereczky, Simon J. Thompson:
Program Equivalence in an Untyped, Call-by-value Lambda Calculus with Uncurried Recursive Functions. - Tobias Batik, Soeren Terziadis, Yu-Shuen Wang, Martin Nöllenburg, Hsiang-Yun Wu:
Shape-Guided Mixed Metro Map Layout. - Fariborz Taherkhani, Aashish Rai, Quankai Gao, Shaunak Srivastava, Xuanbai Chen, Fernando De la Torre, Steven Song, Aayush Prakash, Daeil Kim:
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance. - Yingli Ran, Zhao Zhang:
Approximation Algorithm for Minimum p Union Under a Geometric Setting. - Shuai Ma, Ruixin Yang, Bing Li, Yongyan Chen, Hang Li, Youlong Wu, Majid Safari, Shiyin Li, Naofal Al-Dhahir:
Optimal Power Allocation for Integrated Visible Light Positioning and Communication System with a Single LED-Lamp. - Shenhui Zhang, Wenkai Li, Xiaoqi Li, Boyi Liu, Yuqing Zhang, Chunjue Cao:
A Secure Data Sharing Framework for Robot Operating Systems Leveraging Ethereum. - Antian Wang, Weihang Tan, Keshab K. Parhi, Yingjie Lao:
Integral Sampler and Polynomial Multiplication Architecture for Lattice-based Cryptography. - Antonia Creswell, Murray Shanahan:
Faithful Reasoning Using Large Language Models. - Yuheng Zhang, Qi Zhou, Ke Chang:
Long-term variation of population exposure to PM2.5 in Eastern China: A perspective from SDG 11.6.2. - Abdullah Al Maruf, Luyao Niu, Andrew Clark, J. Sukarno Mertoguno, Radha Poovendran:
A Timing-Based Framework for Designing Resilient Cyber-Physical Systems under Safety Constraint. - Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. - Anuj Kumar Bhagat, Ritumoni Sarma:
On the exponent of cyclic codes. - Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo:
Learning 6D Pose Estimation from Synthetic RGBD Images for Robotic Applications. - Mike Becker, Roland Meyer, Tobias Runge, Ina Schaefer, Sören van der Wall, Sebastian Wolff:
Model-based Fault Classification for Automotive Software. - Evelina V. Permyakova, Denis S. Goldobin:
High-Order Schemes of Exponential Time Differencing for Stiff Systems with Nondiagonal Linear Part. - Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding:
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. - Inske Groenen, Stevan Rudinac, Marcel Worring:
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context. - Samet Bayram, Kenneth E. Barner:
A Black-Box Attack on Optical Character Recognition Systems. - Farzad Vatandoust, Hoseyn A. Amiri, Sima Mas-hafi:
DLDNN: Deterministic Lateral Displacement Design Automation by Neural Networks. - Saswata Jana, Partha Sarathi Mandal:
Approximation Algorithms for Drone Delivery Packing Problem. - Benedikt Bagus, Alexander Gepperth, Timothée Lesort:
Beyond Supervised Continual Learning: a Review. - Fernanda Couto, Luís Felipe I. Cunha, Diego Ferraz:
Simpler and efficient characterizations of tree t-spanners for graphs with few P4's and (k, l)-graphs. - Guillaume Fertin, Géraldine Jean, Anthony Labarre:
Sorting Genomes by Prefix Double-Cut-and-Joins. - Tobias Schräder, Torben Stolte, Inga Jatzkowski, Robert Graubohm, Marcus Nolte, Markus Maurer:
Compensating for the Absence of a Required Accompanying Person: A Draft of a Functional System Architecture for an Automated Vehicle. - Jintao Xu, Chenglong Bao, Wenxun Xing:
Convergence Rates of Training Deep Neural Networks via Alternating Minimization Methods. - Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang:
Learning Representations for Hyper-Relational Knowledge Graphs. - Lang Deng, Jianfei Yang, Shenghai Yuan, Han Zou, Chris Xiaoxuan Lu, Lihua Xie:
GaitFi: Robust Device-Free Human Identification via WiFi and Vision Multimodal Learning. - Atakan Kara, F. Serhan Danis, Günce Keziban Orman, Sultan Nezihe Turhan:
Extracting Relations Between Sectors. - Wadie Skaf, Tomás Horváth:
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series. - Pierrick Pochelu, Serge G. Petiton, Bruno Conche:
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control. - Weixing Wei, Peilin Li, Yi Yu, Wei Li:
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription. - Aakash Sharma, Vivek M. Bhasi, Sonali Singh, Rishabh Jain, Jashwant Raj Gunasekaran, Subrata Mitra, Mahmut Taylan Kandemir, George Kesidis, Chita R. Das:
Analysis of Distributed Deep Learning in the Cloud. - Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. - Shashi Bhushan Kotwal, Chinmoy Kundu, Sudhakar Modem, Ankit Dubey, Mark F. Flanagan:
Ergodic Secrecy Rate of Optimal Source-Destination Pair Selection in Frequency-Selective Fading. - Haoyu Zuo, Qianzhi Jing, Tianqi Song, Huiting Liu, Lingyun Sun, Peter R. N. Childs, Liuqing Chen:
WikiLink: an encyclopedia-based semantic network for design innovation. - Chang-Bin Jeon, Kyogu Lee:
Towards robust music source separation on loud commercial music. - Fredrik Dahlqvist, Renato Neves:
The syntactic dual of autonomous categories enriched over generalised metric spaces. - Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala:
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. - Shuanglin Yan, Hao Tang, Liyan Zhang, Jinhui Tang:
Image-Specific Information Suppression and Implicit Local Alignment for Text-based Person Search. - Vijay Prakash, Sicheng Xie, Danny Yuxing Huang:
Software Update Practices on Smart Home IoT Devices. - Partha Das, Sezer Karaoglu, Arjan Gijsenij, Theo Gevers:
SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes. - Cecilia Pagliantini, Gian Luca Delzanno, Stefano Markidis:
Physics-based adaptivity of a spectral method for the Vlasov-Poisson equations based on the asymmetrically-weighted Hermite expansion in velocity space. - Érick O. Rodrigues, V. H. A. Pinheiro, Panos Liatsis, Aura Conci:
Machine learning in the prediction of cardiac epicardial and mediastinal fat volumes. - Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki:
Associative Learning for Network Embedding. - Meysam Masoudi, Ebrahim Soroush, Jens Zander, Cicek Cavdar:
Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep Q-Networks. - Christian Alrabbaa, Stefan Borgwardt, Patrick Koopmann, Alisa Kovtunova:
Explaining Ontology-Mediated Query Answers using Proofs over Universal Models (Technical Report). - Sk. Imran Hossain, Jocelyn de Goër de Herve, David Abrial, Richard Emilion, Isabelle Lebert, Yann Frendo, Delphine Martineau, Olivier Lesens, Engelbert Mephu Nguifo:
Expert Opinion Elicitation for Assisting Deep Learning based Lyme Disease Classifier with Patient Data. - Xiaoming Sun, Jialin Zhang, Shuo Zhang, Zhijie Zhang:
Improved Deterministic Algorithms for Non-monotone Submodular Maximization. - Érick O. Rodrigues, Leonardo Torok, Panos Liatsis, José Viterbo, Aura Conci:
k-MS: A novel clustering algorithm based on morphological reconstruction. - Kristina Gligoric, Justyna Czestochowska, Ashton Anderson, Robert West:
Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit. - Fatemeh Lotfi, Omid Semiari, Fatemeh Afghah:
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN. - Kristina Gligoric, Irena Dordevic, Robert West:
Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces. - Ayoosh Bansal, Hunmin Kim, Simon Yu, Bo Li, Naira Hovakimyan, Marco Caccamo, Lui Sha:
Verifiable Obstacle Detection. - Gaofei Wu, Huan Liu, Yuqing Zhang:
Several classes of optimal p-ary cyclic codes with minimal distance four. - Rolf A. N. Starre, Marco Loog, Frans A. Oliehoek:
An Analysis of Abstracted Model-Based Reinforcement Learning. - Aos Mulahuwaish, Shane Korbel, Basheer Qolomany:
Improving Datacenter Utilization through Containerized Service-Based Architecture. - Daniele Gorla, Louis Jalouzot, Federica Granese, Catuscia Palamidessi, Pablo Piantanida:
On the (Im)Possibility of Estimating Various Notions of Differential Privacy. - Prince Grover, Zheng Li, Jianbo Liu, Jakub Zablocki, Hao Zhou, Julia Xu, Anqi Cheng:
FDB: Fraud Dataset Benchmark. - Guosheng Fu, Wenzheng Kuang:
Optimal geometric multigrid preconditioners for HDG-P0 schemes for the reaction-diffusion equation and the generalized Stokes equations. - Meena Jagadeesan, Michael I. Jordan, Nika Haghtalab:
Competition, Alignment, and Equilibria in Digital Marketplaces. - Bettina Könighofer, Roderick Bloem, Rüdiger Ehlers, Christian Pek:
Correct-by-Construction Runtime Enforcement in AI - A Survey. - Tianjia Zhang, Yuen-Fui Lau, Qifeng Chen:
A Portable Multiscopic Camera for Novel View and Time Synthesis in Dynamic Scenes. - Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang:
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction. - Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang:
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. - Matthias Köppe, Martin Koutecký, Krzysztof Sornat, Nimrod Talmon:
Fine-Grained Liquid Democracy for Cumulative Ballots. - Xiangzhong Luo, Di Liu, Hao Kong, Shuo Huai, Hui Chen, Weichen Liu:
You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms. - Hongzhi Hua, Guixuan Wen, Kaigui Wu:
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space. - Wei Zhang, Zhaohong Deng, Kup-Sze Choi, Jun Wang, Shitong Wang:
Dual Representation Learning for One-Step Clustering of Multi-View Data. - Francesco Sovrano, Giulio Masetti:
Foreseeing the Impact of the Proposed AI Act on the Sustainability and Safety of Critical Infrastructures. - Zhengqi Gao, Xiangfeng Chen, Zhengxing Zhang, Uttara Chakraborty, Wim Bogaerts, Duane S. Boning:
Automatic Synthesis of Light Processing Functions for Programmable Photonics: Theory and Realization. - Adi Eliahu, Rotem Ben Hur, Ronny Ronen, Shahar Kvatinsky:
abstractPIM: A Technology Backward-Compatible Compilation Flow for Processing-In-Memory. - Rémi Abgrall, Wasilij Barsukow:
Extensions of Active Flux to arbitrary order of accuracy. - Rémi Abgrall, Wasilij Barsukow:
A hybrid finite element - finite volume method for conservation laws. - Matthew L. Ginsberg:
Unbalancing Binary Trees. - Rehnuma Tasnim, Afrin Akter Mim, Salman Hasan Mim, Md. Ismail Jabiullah:
A Comparative Study On Three Selective Cloud Providers. - João Monteiro, Pau Rodríguez, Pierre-André Noël, Issam H. Laradji, David Vázquez:
Constraining Representations Yields Models That Know What They Don't Know. - Johann Frei, Frank Kramer:
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP. - Rushiv Arora, Bruno Castro da Silva, Eliot Moss:
Model-Based Reinforcement Learning with SINDy. - Thomas F. Varley:
Flickering emergences: The question of locality in information-theoretic approaches to emergence. - Shenglian Lu, Xiaoyu Liu, Zixaun He, Manoj Karkee, Xin Zhang:
Swin-transformer-yolov5 For Real-time Wine Grape Bunch Detection. - Bowen Chen, Xiao Ding, Li Du, Bing Qin, Ting Liu:
Text Difficulty Study: Do machines behave the same as humans regarding text difficulty? - Yan Ke, Minqing Zhang, Xinpeng Zhang, Yiliang Han, Jia Liu:
Reversible Data hiding in Encrypted Domain with Public Key Embedding Mechanism. - M. Nicolai L. Lorenz-Meyer, René Suchantke, Johannes Schiffer:
PMU-based dynamic state and parameter estimation for dynamic security assessment in power systems - Ultimate boundedness in the presence of measurement noise. - Najem N. Sirhan, Manel Martínez-Ramón:
Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey. - Mohammad Rehman, Hairong Wang:
Comparative Review of Cloud Computing Platforms for Data Science Workflows. - Hyoyoung Lim, Seonwoo Kim, Jackson Sippe, Junseon Kim, Greg White, Chul-Ho Lee, Eric Wustrow, Kyunghan Lee, Dirk Grunwald, Sangtae Ha:
A Fresh Look at ECN Traversal in the Wild. - Ion Matei, Wiktor Piotrowski, Alexandre Perez, Johan de Kleer, Jorge Tierno, Wendy Mungovan, Vance Turnewitsch:
System Resilience through Health Monitoring and Reconfiguration. - Abhishek Shah, Dongdong She, Samanway Sadhu, Krish Singal, Peter Coffman, Suman Jana:
MC2: Rigorous and Efficient Directed Greybox Fuzzing. - Sadananda Behera, Tania Panayiotou, Georgios Ellinas:
Modeling Soft-Failure Evolution for Triggering Timely Repair with Low QoT Margins. - Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko:
MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition. - Soufiane Belharbi, Ismail Ben Ayed, Luke McCaffrey, Eric Granger:
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos. - Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian A. Scherer:
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition. - Henk D. L. Hollmann, Urmas Luhaäär:
Optimal possibly nonlinear 3-PIR codes of small size. - James A. Michaelov, Benjamin K. Bergen:
Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns? - Huazheng Wang, David Zhao, Hongning Wang:
Dynamic Global Sensitivity for Differentially Private Contextual Bandits. - Samay Maini, Alexander Groleau, Kok Wei Chee, Stefan Larson, Jonathan Boarman:
Augraphy: A Data Augmentation Library for Document Images. - Zheng Zhao, Pinzhen Chen:
To Adapt or to Fine-tune: A Case Study on Abstractive Summarization. - Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. - Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed:
LINKS: A dataset of a hundred million planar linkage mechanisms for data-driven kinematic design. - Shu Liu, Liming Ma, Tingyi Wu, Chaoping Xing:
A new construction of nonlinear codes via algebraic function fields. - Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, M. Ehsan Abbasnejad, Mingming Gong, Kun Zhang, Javen Qinfeng Shi:
Truncated Matrix Power Iteration for Differentiable DAG Learning. - Vishnu Nair, Shao-en Ma, Ricardo E. Gonzalez Penuela, Yicheng He, Karen Lin, Mason Hayes, Hannah Huddleston, Matthew Donnelly, Brian A. Smith:
Uncovering Visually Impaired Gamers' Preferences for Spatial Awareness Tools Within Video Games. - Salar Latifi, Saurav Muralidharan, Michael Garland:
Efficient Sparsely Activated Transformers. - Teo Susnjak:
A Prescriptive Learning Analytics Framework: Beyond Predictive Modelling and onto Explainable AI with Prescriptive Analytics. - Pierre Colombo, Maxime Peyrard, Nathan Noiry, Robert West, Pablo Piantanida:
The Glass Ceiling of Automatic Evaluation in Natural Language Generation. - Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita:
Few-shot Adaptive Object Detection with Cross-Domain CutMix. - Kai Jiang, Juan Zhang, Qi Zhou:
A class of GADI methods for time-dependent linear systems with multitask kernel-learning parameter prediction. - Yuhang Guo, Dong Hao, Bin Li:
Combinatorial Procurement Auction in Social Networks. - Ramin Raziperchikolaei, Young-joo Chung:
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations. - Bo Ye, Feng Li, Mingxuan Li, Peipei Yan, Huiting Yang, Lihua Wang:
Intelligent detect for substation insulator defects based on CenterMask. - Tianyu Xu, Zhuang Jia, Yijian Zhang, Long Bao, Heng Sun:
ELSR: Extreme Low-Power Super Resolution Network For Mobile Devices. - Jiajun Tong, Zhixiao Wang, Xiaobin Rui:
A topic-aware graph neural network model for knowledge base updating. - (Withdrawn) Lifelong Learning for Question Answering with Hierarchical Prompts.
- Wei Zhou, Qi Yang, Qiuping Jiang, Guangtao Zhai, Weisi Lin:
Blind Quality Assessment of 3D Dense Point Clouds with Structure Guided Resampling. - Hongbo Sun, Xiangteng He, Yuxin Peng:
SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization. - Olivia Hsu, Maxwell Strange, Jaeyeon Won, Ritvik Sharma, Kunle Olukotun, Joel S. Emer, Mark Horowitz, Fredrik Kjolstad:
The Sparse Abstract Machine. - Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe:
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. - Naser Al Madi:
How Readable is Model-generated Code? Examining Readability and Visual Inspection of GitHub Copilot. - A. S. M. Ahsan-Ul-Haque, Hongning Wang:
Rethinking Conversational Recommendations: Is Decision Tree All You Need? - Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin:
Fine-Grained Distribution-Dependent Learning Curves. - Xia Feng, Kaiping Cui, Liangmin Wang:
PBAG: A Privacy-Preserving Blockchain-based Authentication Protocol with Global-updated Commitment in IoV. - Rui Zhong, Masaharu Munetomo:
Accelerating differential evolution algorithm with Gaussian sampling based on estimating the convergence points. - François Charih, James R. Green:
Audiogram Digitization Tool for Audiological Reports. - Jeongsoo Kim, Sangmin Woo, Byeongjun Park, Changick Kim:
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images. - Kaifang Long, Jikun Dong, Shengyu Fan, Yanfang Geng, Yang Cao, Han Zhao, Hui Yu, Weizhi Xu:
Application of Data Encryption in Chinese Named Entity Recognition. - Heli Sun, Miaomiao Sun, Liang He, Xiaolin Jia:
Graph Neural Networks with Motif-aware for Tenuous Subgraph Finding. - Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Alexander Billing, Achim J. Lilienthal:
The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. - Deepanway Ghosal, Somak Aditya, Monojit Choudhury:
Generating Intermediate Steps for NLI with Next-Step Supervision. - Shibarchi Majumder, Jens F. D. Nielsen, Thomas Bak:
PaRTAA: A Real-time Multiprocessor for Mixed-Criticality Airborne Systems. - Kun Liu, Huiyuan Fu, Zheng Zhang, Huanpu Yin:
An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator. - Geesara Kulathunga, Alexandr Klimchik:
Optimization-based Motion Planning for Multirotor Aerial Vehicles: a Review. - Zilun Zhang, Cuifeng Shen, Yuan Shen, Huixin Xiong, Xinyu Zhou:
Injecting Image Details into CLIP's Feature Space. - Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. - Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang:
LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles. - Qihua Feng, Peiya Li, Zhixun Lu, Chaozhuo Li, Zefang Wang, Zhiquan Liu, Chunhui Duan, Feiran Huang:
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing. - Joris Guérin, Raul Sena Ferreira, Kevin Delmas, Jérémie Guiochet:
Unifying Evaluation of Machine Learning Safety Monitors. - Wei Chong Ng, Hongyang Du, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Chunyan Miao:
Stochastic Resource Allocation for Semantic Communication-aided Virtual Transportation Networks in the Metaverse. - Maximilian Menke, Thomas Wenzel, Andreas Schwung:
AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. - Hui Zhang, Xin Liu, Naihua Xiu:
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing. - Garance Gourdel, Anne Driemel, Pierre Peterlongo, Tatiana Starikovskaya:
Pattern matching under DTW distance. - Bo Tu, Wen-Tai Li, Chau Yuen:
Vulnerability of Distributed Inverter VAR Control in PV Distributed Energy System. - Raphaël Berthier:
Incremental Learning in Diagonal Linear Networks. - Takahito Yoshizawa, Dave Singelée, Jan Tobias Mühlberg, Stéphane Delbruel, Amir Taherkordi, Danny Hughes, Bart Preneel:
A Survey of Security and Privacy Issues in V2X Communication Systems. - Xinrui Guo, Xiaoyang Ma, Franz Müller, Kai Ni, Thomas Kämpfe, Yongpan Liu, Vijaykrishnan Narayanan, Xueqing Li:
Ferroelectric FET-based strong physical unclonable function: a low-power, high-reliable and reconfigurable solution for Internet-of-Things security. - Thomas Witte, Andrea Vogt, Tina Seufert, Matthias Tichy:
Mapping aids using source location tracking increase novices' performance in programming cyber-physical systems. - Jean Néraud:
When Variable-Length Codes Meet the Field of Error Detection. - Ziga Babnik, Vitomir Struc:
Iterative Optimization of Pseudo Ground-Truth Face Image Quality Labels. - Julie Ducasse, Anke M. Brock, Christophe Jouffrais:
Accessible Interactive Maps for Visually Impaired Users. - Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu:
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results. - Zengyuan Guo, Yuechen Yu, Pengyuan Lv, Chengquan Zhang, Haojie Li, Zhihui Wang, Kun Yao, Jingtuo Liu, Jingdong Wang:
TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers. - Eike-Manuel Bansbach, Yigit Kiyak, Laurent Schmalen:
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information. - Christian Aebeloe, Gabriela Montoya, Katja Hose:
The Lothbrok approach for SPARQL Query Optimization over Decentralized Knowledge Graphs. - Alexandre Lambert, Manolo Dulva Hina, Celine Barth, Assia Soukane, Amar Ramdane-Cherif:
Modelling and Detection of Driver's Fatigue using Ontology. - Maximilian Köhler, Daniel Balzani:
Evolving Microstructures in Relaxed Continuum Damage Mechanics for Strain Softening. - Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken:
Bayesian Optimization-based Combinatorial Assignment. - Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu:
Let us Build Bridges: Understanding and Extending Diffusion Generative Models. - Johanne Cohen, Laurence Pilard, Mikaël Rabie, Jonas Sénizergues:
Making Self-Stabilizing any Locally Greedy Problem. - Théophile Chaumont-Frelet:
Duality analysis of interior penalty discontinuous Galerkin methods under minimal regularity and application to the a priori and a posteriori error analysis of Helmholtz problems. - Hélène Bloch, Pascal Tremblin, Matthias González, Edouard Audit:
Towards a multigrid method for the M1 model for radiative transfer. - Jiaqi Ma, Shengyuan Yan, Lefei Zhang, Guoli Wang, Qian Zhang:
ELMformer: Efficient Raw Image Restoration with a Locally Multiplicative Transformer. - Zhaowen Li, Xu Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Transfering Low-Frequency Features for Domain Adaptation. - Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
A stabilizing reinforcement learning approach for sampled systems with partially unknown models. - Filippo Carnovalini, Antonio Rodà:
A Real-Time Tempo and Meter Tracking System for Rhythmic Improvis. - France Gheeraert:
Some properties of morphic images of (eventually) dendric words. - Juste Raimbault:
Innovation and informal knowledge exchanges between firms. - Martin Kutrib, Andreas Malcher:
Reversible Computations of One-Way Counter Automata. 126-142 - Maria Kosche, Tore Koß, Florin Manea, Stefan Siemer:
Combinatorial Algorithms for Subsequence Matching: A Survey. 11-27 - Artiom Alhazov, Rudolf Freund, Sergiu Ivanov:
P versus B: P Systems as a Formal Framework for Controllability of Boolean Networks. 28-48 - Samira Attou, Ludovic Mignot, Clément Miklarz, Florent Nicart:
Monadic Expressions and their Derivatives. 49-64 - Jürgen Dassow, Bianca Truthe:
On the Generative Capacity of Contextual Grammars with Strictly Locally Testable Selection Languages. 65-80 - Pál Dömösi, Adama Diene:
A Finite-Automaton Based Stream Cipher As a Quasigroup Based Cipher. 81-87 - Dominika Klobucníková, Zbynek Krivka, Alexander Meduna:
Conclusive Tree-Controlled Grammars. 112-125 - Frantisek Mráz, Friedrich Otto:
Non-Returning Finite Automata With Translucent Letters. 143-159 - Benedek Nagy:
Quasi-deterministic 5' -> 3' Watson-Crick Automata. 160-176 - Christian Rauch, Markus Holzer:
On the Accepting State Complexity of Operations on Permutation Automata. 177-189 - Filippo Carnovalini:
Open Challenges in Musical Metacreation. - Jianlin Liu, Zhuofei Huang, Dihe Huang, Shang Xu, Ying Chen, Yong Liu:
Scatter Points in Space: 3D Detection from Multi-view Monocular Images. - Emmanuel Hainry, Bruce M. Kapron, Jean-Yves Marion, Romain Péchoux:
Complete and tractable machine-independent characterizations of second-order polytime. - Taeyoung Kim, Dongsoo Har:
Cluster-based Sampling in Hindsight Experience Replay for Robot Control. - Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard:
SimpleRecon: 3D Reconstruction Without 3D Convolutions. - Christian Berger, Sadok Ben Toumia, Hans P. Reiser:
Simulating BFT Protocol Implementations at Scale. - Filippo Carnovalini, Antonio Rodà, Nicholas Harley, Steven T. Homer, Geraint A. Wiggins:
A New Corpus for Computational Music Research and A Novel Method for Musical Structure Analysis. - Filippo Carnovalini, Antonio Rodà, Paolo Caneva:
A Musical Serious Game for Social Interaction through Augmented Rhythmic Improvisation. - Filippo Carnovalini, Alessandro Pelizzo, Antonio Rodà, Sergio Canazza:
Harmonization and Evaluation; Tweaking the Parameters on Human Listeners. - Zhi Ji, Jia Tu, Xinrong Guan, Wendong Yang, Weiwei Yang, Qingqing Wu:
Energy Efficient Design in IRS-Assisted UAV Data Collection System under Malicious Jamming. - Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. - Ori Roth:
Python Type Hints are Turing Complete. - Udayan Banerjee, Nayan Kumar, Thotakura N. S. C. Sekhar, Tapas Kumar Saha, Chayan Kumar Paul:
Modified Froelich's Equation for Modelling of a Three Phase Self-Excited Synchronous Generator. - Valentina Castiglioni, Claudio Antares Mezzina:
Proceedings Combined 29th International Workshop on Expressiveness in Concurrency and 19th Workshop on Structural Operational Semantics, EXPRESS/SOS 2022, Warsaw, Poland, 12th September 2022. EPTCS 368, 2022 [contents] - Diego Díaz-Domínguez, Simon J. Puglisi, Leena Salmela:
Computing all-vs-all MEMs in run-length encoded collections of HiFi reads. - Ondrej Bajgar, Jan Horenovsky:
Negative Human Rights as a Basis for Long-term AI Safety and Regulation. - Dickson Odhiambo Owuor, Thomas A. Runkler, Anne Laurent, Joseph Orero, Edmond Odhiambo Menya:
Ant Colony Optimization for Mining Gradual Patterns. - Baian Chen, Liangliang Nan, Haoran Xie, Dening Lu, Fu Lee Wang, Mingqiang Wei:
3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning. - Michaël Fanuel, Rémi Bardenet:
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests. - Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
Predicting Flaky Tests Categories using Few-Shot Learning. - Christopher Thron, Anthony Moreno:
Reducing the Complexity of the Sensor-Target Coverage Problem Through Point and Set Classification. - Luca Frittoli, Diego Carrera, Giacomo Boracchi:
Nonparametric and Online Change Detection in Multivariate Datastreams using QuantTree. - Nedson Donato Soares, Regina Braga, José Maria N. David, Kennya Beatriz Siqueira, Victor Ströele:
Data Analysis in Social Networks for Agribusiness - A Systematic Mapping Study. - Irene Wang:
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes. - Haifan zhou, Wenjing Zhou, Junfeng Wu:
Graph Distance Neural Networks for Predicting Multiple Drug Interactions. - Jingke Yan, Xin Wang, Qin Wang, Qin Qin, Huang-he Li, Peng-Fei Ye, Yue-ping He, Jing Zeng:
Domain Shift-oriented Machine Anomalous Sound Detection Model Based on Self-Supervised Learning. - Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. - Emmanouil Karystinaios, Gerhard Widmer:
Cadence Detection in Symbolic Classical Music using Graph Neural Networks. - Nikos Katzouris, Georgios Paliouras:
Learning Automata-Based Complex Event Patterns in Answer Set Programming. - Tony Hauptmann, Stefan Kramer:
A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction. - Vsevolod Grabar, Yury Maximov, Alexey Zaytsev:
Predicting spatial distribution of Palmer Drought Severity Index. - (Withdrawn) Deep Anomaly Detection and Search via Reinforcement Learning.
- Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms. - Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev:
QuantNAS for super resolution: searching for efficient quantization-friendly architectures against quantization noise. - Eun Jung Kim, Marcin Pilipczuk, Roohani Sharma, Magnus Wahlström:
On weighted graph separation problems and flow-augmentation. - Thiago Malheiros Porcino, Seyed Adel Ghaeinian, Juliano Franz, Joseph W. Malloch, Derek Reilly:
Design of an XR Collab. Arch. for Mixed Immersive and MS Interaction. - Aristotelis Ballas, Vasileios Papapanagiotou, Anastasios Delopoulos, Christos Diou:
Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds for the Physionet 2022 challenge. - Ding Li, Yuan Xie, Wensheng Zhang, Yongqiang Tang, Zhizhong Zhang:
Attentive pooling for Group Activity Recognition. - Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang:
PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM. - Yihao Zhi, Shenhan Qian, Xinhao Yan, Shenghua Gao:
Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces. - Jesper C. Provoost, Andreas Kamilaris, Gyözö Gidófalvi, Geert J. Heijenk, Luc J. J. Wismans:
Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times. - (Withdrawn) Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization.
- Andrew Kuznetsov, Joseph Chee Chang, Nathan Hahn, Napol Rachatasumrit, Bradley Breneisen, Julina Coupland, Aniket Kittur:
Fuse: In-Situ Sensemaking Support in the Browser. - Juyong Lee, Seokjun Ahn, Jaesik Park:
Style-Agnostic Reinforcement Learning. - Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui:
Federated Online Clustering of Bandits. - Aolong Zha, Qiong Chang, Naoto Imura, Katsuhiro Nishinari:
A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes. - Seungyeon Rhyu, Sarah Kim, Kyogu Lee:
Sketching the Expression: Flexible Rendering of Expressive Piano Performance with Self-Supervised Learning. - Oliver Boolakee, Martin Geier, Laura De Lorenzis:
A new Lattice Boltzmann scheme for linear elastic solids: periodic problems. - Yufan Li:
Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process. - Minja Axelsson, Micol Spitale, Hatice Gunes:
Robots as Mental Well-being Coaches: Design and Ethical Recommendations. - Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia:
Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym. - Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni:
Formalising the Robustness of Counterfactual Explanations for Neural Networks. - Xiang Fang, Daizong Liu, Pan Zhou, Zichuan Xu, Ruixuan Li:
Hierarchical Local-Global Transformer for Temporal Sentence Grounding. - Xiaoqin Wang, Chen Chen, Rushi Lan, Licheng Liu, Zhenbing Liu, Huiyu Zhou, Xiaonan Luo:
Binary Representation via Jointly Personalized Sparse Hashing. - Carlos Gemmell, Iain Mackie, Paul Owoicho, Federico Rossetto, Sophie Fischer, Jeffrey Dalton:
GRILLBot: An Assistant for Real-World Tasks with Neural Semantic Parsing and Graph-Based Representations. - Fransiscus Asisi Bimo, Ferlinda Feliana, Shu-Hua Liao, Chih-Wei Lin, David F. Kinsey, James Li, Rittwik Jana, Richard Wright, Ray-Guang Cheng:
OSC Community Lab: The Integration Test Bed for O-RAN Software Community. - Joonho Lee, Gyemin Lee:
Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. - Jihye Park, Soohyun Kim, Sunwoo Kim, Jaejun Yoo, Youngjung Uh, Seungryong Kim:
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data. - Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo:
Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games. - Marc Wyss, Giacomo Giuliari, Jonas Mohler, Adrian Perrig:
Protecting Critical Inter-Domain Communication through Flyover Reservations. - Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu:
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation. - Chansup Byun, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Kurt Keville, Anna Klein, Peter Michaleas, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Jeremy Kepner:
pPython for Parallel Python Programming. - Philipp Schiele, Christoph Berninger, David Rügamer:
ARMA Cell: A Modular and Effective Approach for Neural Autoregressive Modeling. - Francesco Buccafurri, Vincenzo De Angelis, Sara Lazzaro:
An Anonymous Overlay Routing Protocol for Uplink-Intensive Applications. - Louis Carpentier, Jorik Jooken, Jan Goedgebeur:
A heuristic algorithm for the maximum happy vertices problem using tree decompositions. - Victor H. Lutfalla:
Geometrical tilings : distance, topology, compacity and completeness. - David Oniani, Sonish Sivarajkumar, Yanshan Wang:
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks. - Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Andrey Rudenko, Tomasz Piotr Kucner, Óscar Martínez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal:
The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. - Quentin Gallouédec, Emmanuel Dellandréa:
Cell-Free Latent Go-Explore. - Qusay Muzaffar, Nira Dyn, David Levin:
Interpolation of Set-Valued Functions. - Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang:
Membership Inference Attacks by Exploiting Loss Trajectory. - Qiange Wang, Xin Ai, Yanfeng Zhang, Jing Chen, Ge Yu:
HyTGraph: GPU-Accelerated Graph Processing with Hybrid Transfer Management. - Zhibo Zhang, Hussam M. N. Al Hamadi, Ernesto Damiani, Chan Yeob Yeun, Fatma Taher:
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research. - Jan Wichelmann, Florian Sieck, Anna Pätschke, Thomas Eisenbarth:
Microwalk-CI: Practical Side-Channel Analysis for JavaScript Applications. - Túlio A. Pascoal, Jérémie Decouchant, Marcus Völp:
Secure and Distributed Assessment of Privacy-Preserving Releases of GWAS. - Frank Kulwa, Chen Li, Marcin Grzegorzek, Md Mamunur Rahaman, Kimiaki Shirahama, Sergey Kosov:
Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features. - Larissa T. Triess, Christoph B. Rist, David Peter, J. Marius Zöllner:
A Realism Metric for Generated LiDAR Point Clouds. - Zuo Ye, Ohad Elishco:
Reconstruction of a Single String from a Part of its Composition Multiset. - Bechir Hamdaoui, Abdurrahman Elmaghbub:
Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes. - Andrew Bai, Chih-Kuan Yeh, Pradeep Ravikumar, Neil Y. C. Lin, Cho-Jui Hsieh:
Concept Gradient: Concept-based Interpretation Without Linear Assumption. - Cameron Boeder, Troy Januchowski:
Zero-day DDoS Attack Detection. - Stephan Simonis, Martin Frank, Mathias J. Krause:
Constructing relaxation systems for lattice Boltzmann methods. - Nick Wood, Sumit Sidana:
Inverse Propensity Score based offline estimator for deterministic ranking lists using position bias. - Gabriele D'Acunto, Gianmarco De Francisci Morales, Paolo Bajardi, Francesco Bonchi:
Multiscale Non-stationary Causal Structure Learning from Time Series Data. - Clemens V. Verhoosel, E. Harald van Brummelen, Sai C. Divi, Frits de Prenter:
Scan-based immersed isogeometric flow analysis. - Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, Ziwei Liu:
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model. - (Withdrawn) A review of Deep learning Techniques for COVID-19 identification on Chest CT images.
- Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert:
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. - Benjamin Rhodes, Michael U. Gutmann:
Enhanced gradient-based MCMC in discrete spaces. - Johannes J. Brust, Zichao Wendy Di, Sven Leyffer, Cosmin G. Petra:
Compact representations of structured BFGS matrices. - Bruna Gregory Palm, Fábio Mariano Bayer, Renato B. Machado, Mats I. Pettersson, Viet Thuy Vu, Renato J. Cintra:
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers. - Santo Fortunato, M. E. J. Newman:
20 years of network community detection. - Haoran Zhang, Junhui Wang:
Efficient estimation and inference for the signed β-model in directed signed networks. - Debajyoti Bera, SAPV Tharrmashastha:
Few Quantum Algorithms on Amplitude Distribution. - Arash Rabbani, Masoud Babaei:
Resolution enhancement of placenta histological images using deep learning. - Arash Rabbani, Hao Gao, Dirk Husmeier:
Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking. - Giorgio Grani, Corrado Coppola, Valerio Agasucci:
PUSH: a primal heuristic based on Feasibility PUmp and SHifting. - Simone Foa, Corrado Coppola, Giorgio Grani, Laura Palagi:
Solving the vehicle routing problem with deep reinforcement learning. - Qifeng Gao, Rui Ding, Linyuan Wang, Bin Xue, Yuping Duan:
LRIP-Net: Low-Resolution Image Prior based Network for Limited-Angle CT Reconstruction. - Chuwen Zhang, Dongdong Ge, Bo Jiang, Yinyu Ye:
DRSOM: A Dimension Reduced Second-Order Method and Preliminary Analyses. - Akash Mondal, Prashanth L. A., Shalabh Bhatnagar:
A Gradient Smoothed Functional Algorithm with Truncated Cauchy Random Perturbations for Stochastic Optimization. - Magnus Bakke Botnan, Steffen Oppermann, Steve Oudot, Luis Scoccola:
On the bottleneck stability of rank decompositions of multi-parameter persistence modules. - Ryland T. Giebelhaus, Michael D. Sorochan Armstrong, A. Paulina de la Mata, James J. Harynuk:
Untargeted Region of Interest Selection for GC-MS Data using a Pseudo F-Ratio Moving Window (ψFRMV). - Jae-Won Choi, Dae-Yong Hong, Chan Jung, Eugene Hwang, Sung-Hyuk Park, Seung-Young Roh:
A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis Performance. - Norihiro Oyama, Shihori Koyama, Takeshi Kawasaki:
What Do Deep Neural Networks Find in Disordered Structures of Glasses? - Evan C. Ehrenberg, Kleovoulos Leo Tsourides, Hossein Nejati, Ngai-Man Cheung, Pawan Sinha:
Neural Correlates of Face Familiarity Perception. - Rüdiger Göbl, Christoph Hennersperger, Nassir Navab:
Speckle2Speckle: Unsupervised Learning of Ultrasound Speckle Filtering Without Clean Data. - Zhengdao Yuan, Qinghua Guo, Yonina C. Eldar, Yonghui Li:
Unitary Approximate Message Passing for Matrix Factorization. - Yun-Fei Niu, Shuo Zhang, Chen Ding, Wansu Bao, He-Liang Huang:
Parameter-Parallel Distributed Variational Quantum Algorithm. - Mayank Katare, Mahesh Raveendranatha Panicker, A. N. Madhavanunni, Gayathri Malamal:
Learning while Acquisition: Towards Active Learning Framework for Beamforming in Ultrasound Imaging. - Ivan Zakazov, Vladimir Shaposhnikov, Iaroslav Bespalov, Dmitry V. Dylov:
Feather-Light Fourier Domain Adaptation in Magnetic Resonance Imaging. - Hlér Kristjánsson, Yan Zhong, Anthony Munson, Giulio Chiribella:
Quantum networks with coherent routing of information through multiple nodes. - Nikita V. Kitov, Mikhail V. Volkov:
Identities in twisted Brauer monoids. - Vincent R. Martinez:
On the reconstruction of unknown driving forces from low-mode observations in the 2D Navier-Stokes Equations. - Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li:
DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal. - Hussein Hashem, Yasmin M. Alsakar, Ahmed Elgarayhi, Mohammed Elmogy, Mohammed Sallah:
An Enhanced Deep Learning Technique for Prostate Cancer Identification Based on MRI Scans. - Dai Hai Nguyen, Tetsuya Sakurai:
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. - Hayder A. Khikani, Naira Elazab, Ahmed Elgarayhi, Mohammed Elmogy, Mohammed Sallah:
Breast Cancer Classification Based on Histopathological Images Using a Deep Learning Capsule Network. - Biplab Biswas, Nishith Kumar, Md. Aminul Hoque, Md. Ashad Alam:
Weighted Scaling Approach for Metabolomics Data Analysis. - Tetsuya Matsumoto, Stephen Zhang, Geoffrey Schiebinger:
Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport. - Anito Anto, Linda Rose Jimson, Tanya Rose, Mohammed Jafrin, Mahesh Raveendranatha Panicker:
Software Package for Automated Analysis of Lung Ultrasound Videos. - Hafiza Ayesha Hoor Chaudhry, Riccardo Renzulli, Daniele Perlo, Francesca Santinelli, Stefano Tibaldi, Carmen Cristiano, Marco Grosso, Attilio Fiandrotti, Maurizio Lucenteforte, Davide Cavagnino:
Lung nodules segmentation from CT with DeepHealth toolkit. - Daniele Perlo, Enzo Tartaglione, Umberto A. Gava, Federico D'Agata, Edwin Benninck, Mauro Bergui:
UniToBrain dataset: a Brain Perfusion Dataset. - Antonin Callard, Ville Salo:
Distortion element in the automorphism group of a full shift. - Reza Azad, Moein Heidari, Moein Shariatnia, Ehsan Khodapanah Aghdam, Sanaz Karimijafarbigloo, Ehsan Adeli, Dorit Merhof:
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image Segmentation. - Sidney Pontes-Filho, Pedro G. Lind, Stefano Nichele:
Assessing the robustness of critical behavior in stochastic cellular automata. - Leonardo Kanashiro Felizardo, Elia Yathie Matsumoto, Emilio Del-Moral-Hernandez:
Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise. - Thijs Kooi:
Tutorial on the development of AI models for medical image analysis. - Dmytro Filatov, Ghulam Nabi Ahmad Hassan Yar:
Brain Tumor Diagnosis and Classification via Pre-Trained Convolutional Neural Networks. - Adel Nabli, Edouard Oyallon:
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization for Time-Varying Gossips. - Selvarajah Thuseethan, Chathrie Wimalasooriya, Shanmuganathan Vasanthapriyan:
Deep COVID-19 Recognition using Chest X-ray Images: A Comparative Analysis. - Mattia G. Bergomi, Pietro Vertechi:
Neural network layers as parametric spans. - Shahnawaz Ahmed, Fernando Quijandría, Anton Frisk Kockum:
Gradient-descent quantum process tomography by learning Kraus operators. - Marco Seminara, Tecla Gabbrielli, Nicola Corrias, Simone Borri, Luigi Consolino, Marco Meucci, Paolo De Natale, Francesco Cappelli, Jacopo Catani:
Characterization of noise regimes in Mid-IR free-space optical communication based on quantum cascade lasers. - Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu:
A Transformer-based Neural Language Model that Synthesizes Brain Activation Maps from Free-Form Text Queries. - Marco Salucci, Lorenzo Poli, Paolo Rocca, Claudio Massagrande, Pietro Rosatti, Mohammad Abdul Hannan, Mirko Facchinelli, Andrea Massa:
Spline-Shaped Microstrip Edge-Fed Antenna for 77 GHz Automotive Radar Systems. - Haoning Kan, Jiale Yu, Jiajin Huang, Zihe Liu, Haiyan Zhou:
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition. - Ye Qiao, Mohammed Alnemari, Nader Bagherzadeh:
A Two-Stage Efficient 3-D CNN Framework for EEG Based Emotion Recognition. - Tomas Kulvicius, Dajie Zhang, Karin Nielsen-Saines, Sven Bölte, Marc Kraft, Christa Einspieler, Luise Poustka, Florentin Wörgötter, Peter B. Marschik:
Infant movement classification through pressure distribution analysis - added value for research and clinical implementation. - Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza:
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. - Julian Berberich, Andrea Iannelli, Alberto Padoan, Jeremy Coulson, Florian Dörfler, Frank Allgöwer:
A quantitative and constructive proof of Willems' Fundamental Lemma and its implications. - Thijs van Ommen, Mathias Drton:
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models. - Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo:
Fast Two-step Blind Optical Aberration Correction. - Bin Shi, Guodong Sun:
An Adjoint-Free Algorithm for CNOPs via Sampling. - George Miloshevich, Bastien Cozian, Patrice Abry, Pierre Borgnat, Freddy Bouchet:
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data. - Zixun Guo, Chen Chen, Eng Siong Chng:
DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognition. - Nicola Apollonio, Lorenzo Balzotti:
Two New Characterizations of Path Graphs. - Nicholas Connolly, Vivien Londe, Anthony Leverrier, Nicolas Delfosse:
Fast erasure decoder for a class of quantum LDPC codes. - Francesco Cagnetta, Alessandro Favero, Matthieu Wyart:
How Wide Convolutional Neural Networks Learn Hierarchical Tasks. - Akshay Iyer, Clifford Lindsay, P. Hendrik Pretorius, Michael A. King:
Learning to estimate a surrogate respiratory signal from cardiac motion by signal-to-signal translation. - Arushi, Roberto Dillon, Ai Ni Teoh, Denise Dillon:
Voice Analysis for Stress Detection and Application in Virtual Reality to Improve Public Speaking in Real-time: A Review. - Alessandro Wollek, Theresa Willem, Michael Ingrisch, Bastian O. Sabel, Tobias Lasser:
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification. - Saeed Osat, Fragkiskos Papadopoulos, Andreia Sofia Teixeira, Filippo Radicchi:
Embedding-aided network dismantling. - Salah-Eddine Chorfi, Ghita El Guermai, Lahcen Maniar, Walid Zouhair:
Numerical identification of initial temperatures in heat equation with dynamic boundary conditions. - Haoran Hu, Connor M. Kennedy, Panayotis G. Kevrekidis, Hongkun Zhang:
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19. - Martin Jankowiak:
Bayesian Variable Selection in a Million Dimensions. - Dingcheng Luo, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden:
Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm. - Nathaniel Josephs, Sida Peng, Forrest W. Crawford:
Communication network dynamics in a large organizational hierarchy. - Zhiding Liang, Jinglei Cheng, Hang Ren, Hanrui Wang, Fei Hua, Yongshan Ding, Fred Chong, Song Han, Yiyu Shi, Xuehai Qian:
PAN: Pulse Ansatz on NISQ Machines. - Jiacheng Zhu, Jielin Qiu, Zhuolin Yang, Douglas Weber, Michael A. Rosenberg, Emerson Liu, Bo Li, Ding Zhao:
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction. - Harold R. Parks, Dean C. Wills:
Sums of k-bonacci Numbers. - Marek Gagolewski, Maciej Bartoszuk, Anna Cena:
Are Cluster Validity Measures (In)valid? - Minfeng Xu, Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu:
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation. - Jitender Singh:
Longitudinal and transverse modes of temperature modulated inclined layer convection. - Eui-Jin Kim, Prateek Bansal:
A Deep Generative Model for Feasible and Diverse Population Synthesis. - André Guerino Castoldi, Emerson L. Monte Carmelo, Lucia Moura, Daniel Panario, Brett Stevens:
Ordered Covering Arrays and Upper Bounds on Covering Codes in NRT spaces. - Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. - Brahim El Asri, Hafid Lalioui:
A Differential Game Control Problem in Finite Horizon with an Application to Portfolio Optimization. - Mingyue Kang, Seshadri Vasan, Laurence O. W. Wilson, Rohitash Chandra:
Unsupervised machine learning framework for discriminating major variants of concern during COVID-19. - Patrick dos Anjos:
Viskositas: Viscosity Prediction of Multicomponent Chemical Systems. - Marcel Ausloos:
God (≡ Elohim), the first small world network. - Saugata Basu, Negin Karisani, Laxmi Parida:
Sequents, barcodes, and homology. - Ben Lonnqvist, Harshitha Machiraju, Michael H. Herzog:
A comment on Guo et al. [arXiv: 2206.11228]. - Ashish Kumar, R. K. Agrawal, Leve Joseph:
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation. - Arshdeep Singh, James A. King, Xubo Liu, Wenwu Wang, Mark D. Plumbley:
Low-complexity CNNs for Acoustic Scene Classification. - Kehinde Olobatuyi:
Cluster Weighted Model Based on TSNE algorithm for High-Dimensional Data. - Matteo Mancini, Derek K. Jones, Marco Palombo:
Lossy compression of multidimensional medical images using sinusoidal activation networks: an evaluation study. - Junqi Tang, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb:
Stochastic Primal-Dual Three Operator Splitting with Arbitrary Sampling and Preconditioning. - How-Hang Liu, Ronald Y. Chang, Yi-Ying Chen, I-Kang Fu, H. Vincent Poor:
Sensor Deployment and Link Analysis in Satellite IoT Systems for Wildfire Detection. - Zeba Ghaffar, Pir Masoom Shah, Hikmat Ullah Khan, Syed Farhan Alam Zaidi, Abdullah Gani, Izaz Ahmad Khan, Munam Ali Shah, Saif ul Islam:
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images. - Fangzheng Lin, Heming Sun, Jiro Katto:
Streaming-capable High-performance Architecture of Learned Image Compression Codecs. - Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bungsan Chong, Liaoyuan Zeng, Qianni Zhang:
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation. - Vipul Mann, Venkat Venkatasubramanian:
AI-driven Hypernetwork of Organic Chemistry: Network Statistics and Applications in Reaction Classification. - Tuncay Yigit, Nilgün Sengöz, Özlem Özmen, Jude Hemanth D., Ali Hakan Isik:
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning. - Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman:
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations. - Sheila W. Seidel, Hoover Rueda-Chacon, Iris Cusini, Federica A. Villa, Franco Zappa, Christopher C. Yu, Vivek K. Goyal:
Non-Line-of-Sight Tracking and Mapping with an Active Corner Camera. - Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton:
Optimal Rates for Regularized Conditional Mean Embedding Learning. - Chloe Makdad, Jonathan P. Sorenson:
An Algorithm for Ennola's Second Theorem and Counting Smooth Numbers in Practice. - Saima Safdar, Benjamin Zwick, George C. Bourantas, Grand R. Joldes, Damon Hyde, Simon K. Warfield, Adam Wittek, Karol Miller:
Automated modeling of brain bioelectric activity within the 3D Slicer environment. - Uriya A. First, Tali Kaufman:
Couboundary Expansion of Sheaves on Graphs and Weighted Mixing Lemmas. - Seyyed Shaho Alaviani, Atul Gajanan Kelkar, Umesh Vaidya:
Reciprocity of Algorithms Solving Distributed Consensus-Based Optimization and Distributed Resource Allocation. - Uriya A. First, Tali Kaufman:
On Good 2-Query Locally Testable Codes from Sheaves on High Dimensional Expanders. - Meysam Tavakoli, Patrick Kelley:
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening. - Samaneh Abbasi, Meysam Tavakoli, Hamid Reza Boveiri, Mohammad Amin Mosleh Shirazi, Raouf Khayami, Hedieh Khorasani, Reza Javidan, Alireza Mehdizadeh:
Medical image registration using unsupervised deep neural network: A scoping literature review. - Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis. - Rina Miyajima, Ryutaroh Matsumoto:
Advance sharing of quantum shares for classical secrets. - Daniele Brambilla, Davide Maria Giacomini, Luca Muscarnera, Andrea Mazzoleni:
DeepProphet2 - A Deep Learning Gene Recommendation Engine. - Bing Xue, Pasi Koivumäki, Lauri Vaha-Savo, Katsuyuki Haneda, Clemens Icheln:
Impacts of Real Hands on 5G Millimeter-Wave Cellphone Antennas: Measurements and Electromagnetic Models. - Dionysis Theodosis, Iasson Karafyllis, Markos Papageorgiou:
Cruise Controllers for Lane-Free Ring-Roads based on Control Lyapunov Functions. - Hong-Lan Botterman, Julien Roussel, Thomas Morzadec, Ali Jabbari, Nicolas J.-B. Brunel:
Robust PCA for Anomaly Detection and Data Imputation in Seasonal Time Series. - Wentian Lu, Kaijun Xie, Mingbo Liu, Xiaogang Wang, Lefeng Cheng:
Online decentralized tracking for nonlinear time-varying optimal power flow of coupled transmission-distribution grids. - Asier López-Gordón, Leonardo Colombo, Manuel de León:
Nonsmooth Herglotz variational principle. - Ramin Ayanzadeh, John E. Dorband, Milton Halem, Tim Finin:
Quantum-Assisted Greedy Algorithms. - Natalie C. Behague, Natasha Morrison, Jonathan A. Noel:
Common Pairs of Graphs. - Faeze Kiani:
Texture features in medical image analysis: a survey. - Travis Driver, Katherine A. Skinner, Mehregan Dor, Panagiotis Tsiotras:
AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning. - Chen Ding, Xiao-Yue Xu, Yun-Fei Niu, Shuo Zhang, Wansu Bao, He-Liang Huang:
Active Learning on a Programmable Photonic Quantum Processor. - Elchanan Solomon, Paul Bendich:
A Convolutional Persistence Transform. - Pierre Aboulker, Quentin Vermande:
Various bounds on the minimum number of arcs in a k-dicritical digraph. - Rui Xu, Yong Luo, Bo Du, Kaiming Kuang, Jiancheng Yang:
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection. - Hao-Chung Cheng:
A Simple and Tighter Derivation of Achievability for Classical Communication over Quantum Channels. - Berke Doga Basaran, Mengyun Qiao, Paul M. Matthews, Wenjia Bai:
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. - Umut Demirhan, Ahmed Alkhateeb:
Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles. - Mohamed Alami Chehboune, Jérémie Decock, Rim Kaddah, Jesse Read:
Conv-NILM-Net, a causal and multi-appliance model for energy source separation. - Matthias Thamm, Bernd Rosenow:
Machine learning optimization of Majorana hybrid nanowires. - Qibing Bai, Tom Ko, Yu Zhang:
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. - Md. Obaidur Rahman, Mohammod Abul Kashem, Al-Akhir Nayan, Most. Fahmida Akter, Fazly Rabbi, Marzia Ahmed, Mohammad Asaduzzaman Chowdhury:
Internet of Things (IoT) based ECG System for Rural Health Care. - Aleksandar Haber, John E. Draganov, Michael Krainak:
Subspace identification of low-dimensional Structural-Thermal-Optical-Performance (STOP) models of reflective optics. - Axel Huebl, Rémi Lehe, Chad E. Mitchell, Ji Qiang, Robert D. Ryne, Ryan T. Sandberg, Jean-Luc Vay:
Next Generation Computational Tools for the Modeling and Design of Particle Accelerators at Exascale. - Yanxiong Li, Wenchang Cao, Konstantinos Drossos, Tuomas Virtanen:
Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network. - Jinhuan Ke, Jiahao Ma, Xiyu Yin:
Simulation and application of COVID-19 compartment model using physic-informed neural network. - Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates:
Node Copying: A Random Graph Model for Effective Graph Sampling. - Long Chen, Jingrong Wei:
Transformed Primal-Dual Methods For Nonlinear Saddle Point Systems. - Koji Nuida:
On Compression Functions over Small Groups with Applications to Cryptography. - Hyomin Choi, Ivan V. Bajic:
Scalable Video Coding for Humans and Machines. - Igor G. Vladimirov, Ian R. Petersen:
Decoherence quantification through commutation relations decay for open quantum harmonic oscillators. - Rosa C. J. Kraaijveld, Marielle E. P. Philippens, Wietse S. C. Eppinga, Ina M. Jürgenliemk-Schulz, Kenneth G. A. Gilhuijs, Petra S. Kroon, Bas H. M. van der Velden:
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT. - David Xu, A. Baris Özgüler, Giuseppe Di Guglielmo, Nhan Tran, Gabriel N. Perdue, Luca P. Carloni, Farah Fahim:
Neural network accelerator for quantum control. - Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu:
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. - Tomás Pevný, Viliam Lisý, Branislav Bosanský, Petr Somol, Michal Pechoucek:
Explaining Classifiers Trained on Raw Hierarchical Multiple-Instance Data. - André F. R. Guarda, Nuno M. M. Rodrigues, Manuel Ruivo, Luís Coelho, Abdelrahman Seleem, Fernando Pereira:
IT/IST/IPLeiria Response to the Call for Proposals on JPEG Pleno Point Cloud Coding. - Renjie Xie, Wei Xu, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst:
Disentangled Representation Learning for RF Fingerprint Extraction under Unknown Channel Statistics. - Salvatore Calì, Daniel C. Hackett, Yin Lin, Phiala E. Shanahan, Brian Xiao:
Neural-network preconditioners for solving the Dirac equation in lattice gauge theory. - Diogo Cruz, Francisco A. Monteiro, Bruno C. Coutinho:
Quantum Error Correction via Noise Guessing Decoding. - Wei Xia, John H. L. Hansen:
Data-driven Attention and Data-independent DCT based Global Context Modeling for Text-independent Speaker Recognition. - Kevin Buck, Jae Hwan Lee, Jacob Platnick, Aric Wheeler, Kevin Zumbrun:
Continuous guts poker and numerical optimization of generalized recursive games. - Anastasios N. Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster:
Conformal Risk Control. - Qinhua Jenny Sun, Khuong Vo, Kitty Lui, Michael D. Nunez, Joachim Vandekerckhove, Ramesh Srinivasan:
Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. - Jordi Vila-Pérez, Matteo Giacomini, Antonio Huerta:
Benchmarking the face-centred finite volume method for compressible laminar flows. - Michael Xu, Abinash Kumar, James M. LeBeau:
Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows. - Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic algorithms for Spatial Partitioning problems. - S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Automatic Segmentation of the Placenta in BOLD MRI Time Series. - Anton Bernshteyn:
Descriptive combinatorics and distributed algorithms. - Shiyi Wang, Guang Yang:
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans. - Yang Nan, Peng Tang, Guyue Zhang, Caihong Zeng, Zhihong Liu, Zhifan Gao, Heye Zhang, Guang Yang:
Unsupervised Tissue Segmentation via Deep Constrained Gaussian Network. - Mohamed Naguib, Yahia Shabara, Can Emre Koksal:
Continuous Beam Alignment for Mobile MIMO. - Michio Seto:
A Fock space approach to the theory of strictly positive kernels. - Yongsong Huang, Qingzhong Wang, Shinichiro Omachi:
Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN. - Junde Wu, Huihui Fang, Haoyi Xiong, Lixin Duan, Mingkui Tan, Weihua Yang, Huiying Liu, Yanwu Xu:
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle. - Philipp Götz, Cagdas Tuna, Andreas Walther, Emanuël A. P. Habets:
AID: Open-source Anechoic Interferer Dataset. - Bohan Zhou, Matthew D. Parno:
Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs. - Wei Dai, Ziyao Zhang, Lixia Tian, Shengyuan Yu, Shuhui Wang, Zhao Dong, Hairong Zheng:
First Glance Diagnosis: Brain Disease Classification with Single fMRI Volume. - Xuelong Li, Guanlin Li, Bin Zhao:
Low-Light Hyperspectral Image Enhancement. - Akram Youssry, Hendra I. Nurdin:
Multi-Axis Control of a Qubit in the Presence of Unknown Non-Markovian Quantum Noise. - Luciano Vinas, Atchar Sudyadhom:
Sinusoidal Sensitivity Calculation for Line Segment Geometries. - Hiroaki Shinkawa, Nicolas Chauvet, André Röhm, Takatomo Mihana, Ryoichi Horisaki, Guillaume Bachelier, Makoto Naruse:
Conflict-free joint sampling for preference satisfaction through quantum interference. - Sheheryar Mehmood, Peter Ochs:
Fixed-Point Automatic Differentiation of Forward-Backward Splitting Algorithms for Partly Smooth Functions. - Fatima Antarou Ba, Michael Quellmalz:
Accelerating the Sinkhorn algorithm for sparse multi-marginal optimal transport by fast Fourier transforms. - Xinqi Bao, Yujia Xu, Hak-Keung Lam, Mohamed Trabelsi, Ines Chihi, Lilia Sidhom, Ernest Nlandu Kamavuako:
Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks. - Fanwei Zhu, Wendong Xiao, Yao Yu, Ziyi Wang, Zulong Chen, Quan Lu, Zemin Liu, Minghui Wu, Shenghua Ni:
Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing. - Jan Nikolas Morshuis, Sergios Gatidis, Matthias Hein, Christian F. Baumgartner:
Adversarial Robustness of MR Image Reconstruction under Realistic Perturbations. - Sujay Bhatt, Guanhua Fang, Ping Li, Gennady Samorodnitsky:
Catoni-style Confidence Sequences under Infinite Variance. - Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay:
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. - Roy Gotlib, Tali Kaufman:
Beyond the Worst Case: Structured Convergence of High Dimensional Random Walks. - Omar Al Ghattas, Daniel Sanz-Alonso:
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization. - Leonie Neuhäuser, Fariba Karimi, Jan Bachmann, Markus Strohmaier, Michael T. Schaub:
Improving the visibility of minorities through network growth interventions. - Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra:
Interpretable Uncertainty Quantification in AI for HEP. - Nicolas Bertin, Fei Zhou:
Accelerating discrete dislocation dynamics simulations with graph neural networks. - Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King:
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. - Gen Li, Yuting Wei:
A Non-Asymptotic Framework for Approximate Message Passing in Spiked Models. - Shira Faigenbaum-Golovin, Or Shimshi:
Image Quality Assessment: Learning to Rank Image Distortion Level. - Claudio Dornelles Mello Jr., Bryan Umpierre Moreira, Paulo Jefferson Dias de Oliveira Evald, Paulo Lilles Drews Jr., Silvia S. C. Botelho:
Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions. - Xingran Liao, Baoliang Chen, Hanwei Zhu, Shiqi Wang, Mingliang Zhou, Sam Kwong:
DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space. - Yuehan Zhang, Bo Ji, Jia Hao, Angela Yao:
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution. - (Withdrawn) Isoform Function Prediction Using Deep Neural Network.
- Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria:
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images. - Stephan Gärttner, Florian Frank, Fabian Woller, Andreas Meier, Nadja Ray:
Estimating relative diffusion from 3D micro-CT images using CNNs. - Alma Eguizabal, Ozan Öktem, Mats U. Persson:
Deep Learning for Material Decomposition in Photon-Counting CT. - Louis Mozart Kamdem, Ernest Fokoué:
A Computational Exploration of Emerging Methods of Variable Importance Estimation. - Rodolfo Batista Negri, Antônio Fernando Bertachini de Almeida Prado, Ronan Arraes Jardim Chagas, Rodolpho Vilhena de Moraes:
Autonomous Rapid Exploration in Close-Proximity of an Asteroid. - Miriam Fischer, Akshay Gupte:
Multilinear formulations for computing Nash equilibrium of multi-player matrix games. - Jisheng Bai, Jianfeng Chen, Mou Wang, Muhammad Saad Ayub, Qingli Yan:
SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring. - Justin A. Sirignano, Jonathan F. MacArt:
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies. - Xiaolong Luo, Wanzhong Song, Songlin Bai, Yu Li, Zhihe Zhao:
Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement. - Hieu H. Pham, Ha Q. Nguyen, Hieu T. Nguyen, Linh T. Le, Khanh Lam:
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph. - Rishav Pramanik, Sourodip Sarkar, Ram Sarkar:
An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays. - Eman Yahia, Kannan N. Premnath:
Preconditioned Central Moment Lattice Boltzmann Method on a Rectangular Lattice Grid for Accelerated Computations of Inhomogeneous Flows. - Vaanathi Sundaresan, Julia F. Lehman, Sean P. Fitzgibbon, Saâd Jbabdi, Suzanne N. Haber, Anastasia Yendiki:
Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data. - Veena Kaustaban, Qinle Ba, Ipshita Bhattacharya, Nahil Sobh, Satarupa Mukherjee, Jim Martin, Mohammad Saleh Miri, Christoph Guetter, Amal Chaturvedi:
Continual Learning for Tumor Classification in Histopathology Images. - Bruna Gregory Palm, Fábio M. Bayer, Renato J. Cintra:
Improved Point Estimation for the Rayleigh Regression Model. - Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard, Alper Atamtürk:
Parabolic Relaxation for Quadratically-constrained Quadratic Programming - Part I: Definitions & Basic Properties. - Ramtin Madani, Mersedeh Ashraphijuo, Mohsen Kheirandishfard, Alper Atamtürk:
Parabolic Relaxation for Quadratically-constrained Quadratic Programming - Part II: Theoretical & Computational Results. - Yunfei Song:
PDE-Based Optimization for Advection Diffusion Equation in 2D Domain. - Ahmet M. Elbir, Wei Shi, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas:
Terahertz-Band Channel and Beam Split Estimation via Array Perturbation Model. - Shubham Kumar Gupta, Azeem Ahmad, Prakhar Kumar, Frank Melandsø, Anowarul Habib:
Image denoising in acoustic field microscopy. - Samuel Horváth, Malik Shahid Sultan, Hernando Ombao:
Granger Causality using Neural Networks. - Diederik Aerts, Jonito Aerts Arguëlles:
Quantum Structure in Human Perception. - Hsiu-Fu Yeh:
The 2-center Problem in Maximal Outerplanar Graph. - Huairui Wang, Zhenzhong Chen:
Exploring Long & Short Range Temporal Information for Learned Video Compression. - Jerry Anunrojwong, Krishnamurthy Iyer, David Lingenbrink:
Persuading Risk-Conscious Agents: A Geometric Approach. - Ronaldas Paulius Lencevicius:
An Empirical Analysis of the Laplace and Neural Tangent Kernels. - Udit Halder, Vidya Raju, Matteo Mischiati, Biswadip Dey, P. S. Krishnaprasad:
Flocks, Games, and Cognition: A Geometric Approach. - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed Contrastive Learning for Medical Image Segmentation. - Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye:
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity. - Mario Krenn, Jonas Landgraf, Thomas Foesel, Florian Marquardt:
Artificial Intelligence and Machine Learning for Quantum Technologies. - Thomas Schlegl, Heiko Stino, Michael Niederleithner, Andreas Pollreisz, Ursula Schmidt-Erfurth, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images. - Mohammad Pirani, Saber Jafarpour:
Network Critical Slowing Down: Data-Driven Detection of Critical Transitions in Nonlinear Networks. - David H. Wolpert:
What can we know about that which we cannot even imagine? - Jie Chen, Yongming Liu:
Neural Optimization Machine: A Neural Network Approach for Optimization. - Juan Zou, Cheng Li, Sen Jia, Ruoyou Wu, Tingrui Pei, Hairong Zheng, Shanshan Wang:
SelfCoLearn: Self-supervised collaborative learning for accelerating dynamic MR imaging. - Yanbin Liu, Girish Dwivedi, Farid Boussaïd, Frank M. Sanfilippo, Makoto Yamada, Mohammed Bennamoun:
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images. - Miguel Alvarez, Neil K. Chada, Ajay Jasra:
Unbiased Estimation of the Vanilla and Deterministic Ensemble Kalman-Bucy Filters. - Haomiao Huo, Jindan Xu, Gege Su, Wei Xu, Ning Wang:
Intelligent MIMO Detection Using Meta Learning. - Samah Khawaled, Moti Freiman:
NPB-REC: Non-parametric Assessment of Uncertainty in Deep-learning-based MRI Reconstruction from Undersampled Data. - Yi Luo, Bijie Bai, Yuhang Li, Ege Cetintas, Aydogan Ozcan:
All-optical image classification through unknown random diffusers using a single-pixel diffractive network. - David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár:
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment. - Marko Lindner, Riko Ukena:
Half-line compressions and finite sections of discrete Schrödinger operators with integer-valued potentials. - Haili Ye, Da-Han Wang:
Stain-Adaptive Self-Supervised Learning for Histopathology Image Analysis. - Özlem Tugfe Demir, Emil Björnson:
Channel Estimation under Hardware Impairments: Bayesian Methods versus Deep Learning. - Alessandro Colombo, Simon Dold, Patrice Kolb, Nils Bernhardt, Patrick Behrens, Jonathan Correa, Stefan Düsterer, Benjamin Erk, Linos Hecht, Andrea Heilrath, Robert Irsig, Norman Iwe, Jakob Jordan, Björn Kruse, Bruno Langbehn, Bastian Manschwetus, Franklin Martinez, Karl-Heinz Meiwes-Broer, Kevin Oldenburg, Christopher Passow, Christian Peltz, Mario Sauppe, Fabian Seel, Rico Mayro P. Tanyag, Rolf Treusch, Anatoli Ulmer, Saida Walz, Thomas Fennel, Ingo Barke, Thomas Möller, Bernd von Issendorff, Daniela Rupp:
Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures. - Weijia Shao, Fikret Sivrikaya, Sahin Albayrak:
Optimistic Optimisation of Composite Objective with Exponentiated Update. - Alexander Stotsky:
Systematic Review of Newton-Schulz Iterations with Unified Factorizations : Integration in the Richardson Method and Application to Robust Failure Detection in Electrical Networks. - Heng Cong, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Jiarong He, Jin Gao:
Image Quality Assessment with Gradient Siamese Network. - Yi Luo, Jianwei Yu:
FRA-RIR: Fast Random Approximation of the Image-source Method. - Jianchang Hu, Silke Szymczak:
A review on longitudinal data analysis with random forest in precision medicine. - Xiao-Han Wang, Pei Shi, Bin Xi, Jie Hu, Shi-Ju Ran:
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations. - Tongyue Shi, Siyu Tao, Haining Wang:
Water Goes Where? A Water Resource Allocation Method Based on Multi-Objective Decision-Making. - Abhijith Thoopul Anantharanga, Mohammad Saber Hashemi, Azadeh Sheidaei:
Linking Properties to Microstructure in Liquid Metal Embedded Elastomers via Machine Learning. - Khaled Alrfou, Amir Kordijazi, Tian Zhao:
Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives. - S. Dzhenzher, Arkadiy Skopenkov:
To the Kühnel conjecture on embeddability of k-complexes in 2k-manifolds. - Conrad D. Hougen, Lance M. Kaplan, Federico Cerutti, Alfred O. Hero III:
Uncertain Bayesian Networks: Learning from Incomplete Data. - Ran Gutin:
Unitary canonical forms over Clifford algebras, and an observed unification of some real-matrix decompositions. - Chia-Yu Chang:
Maximal Border Subrank Tensors. - Lan V. Truong:
On Rademacher Complexity-based Generalization Bounds for Deep Learning. - Reza Pourreza, Hoang Le, Amir Said, Guillaume Sautière, Auke J. Wiggers:
Boosting neural video codecs by exploiting hierarchical redundancy. - Iori Azuma, Tadahaya Mizuno, Hiroyuki Kusuhara:
NRBdMF: A recommendation algorithm for predicting drug effects considering directionality. - Meng Wang, Chuqi Lei, Jianxin Wang, Yaohang Li, Min Li:
TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning. - Marco Simonetti, Damiano Perri, Osvaldo Gervasi:
An example of use of Variational Methods in Quantum Machine Learning. - Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia:
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. - Yunseong Cho, Jinseok Choi, Brian L. Evans:
Coordinated Per-Antenna Power Minimization for Multicell Massive MIMO Systems with Low-Resolution Data Converters. - Berkay Turan, Mahnoosh Alizadeh:
Safe Dual Gradient Method for Network Utility Maximization Problems. - Farhad Shirani, Hamidreza Aghasi:
Quantifying the Capacity Gains in Coarsely Quantized SISO Systems with Nonlinear Analog Operators. - Libin Liang, Ye Tian, Ge Cheng:
Deep Maxout Network Gaussian Process. - Desen Meng, Feng Gao, Junyu Dong, Qian Du, Heng-Chao Li:
Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network. - Kisun Lee, Stephen Melczer, Josip Smolcic:
Homotopy techniques for analytic combinatorics in several variables. - Ziming Liu, Andrew M. Stuart, Yixuan Wang:
Second Order Ensemble Langevin Method for Sampling and Inverse Problems. - Bo Yang, Xuelin Cao, Chongwen Huang, George C. Alexandropoulos, Linglong Dai, Mérouane Debbah, H. Vincent Poor, Chau Yuen:
Next Generation Reconfigurable MetaSurfaces: When Wave Propagation Control Meets Computing. - Younghoon Kim, Tao Wang, Danyi Xiong, Xinlei Wang, Seongoh Park:
Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences. - (Withdrawn) Using Large Context for Kidney Multi-Structure Segmentation from CTA Images.
- Resve A. Saleh, A. K. Md. Ehsanes Saleh:
Statistical Properties of the log-cosh Loss Function Used in Machine Learning. - Weijia Shao, Sahin Albayrak:
Adaptive Zeroth-Order Optimisation of Nonconvex Composite Objectives. - Amirhossein Akbar Tabatabai, Rosalie Iemhoff, Raheleh Jalali:
Uniform Lyndon interpolation for intuitionistic monotone modal logic. - Quoc-Huy Trinh, Minh-Van Nguyen, Thien-Phuc Nguyen-Dinh:
Res-Dense Net for 3D Covid Chest CT-scan classification. - Quoc-Huy Trinh, Trong-Hieu Nguyen Mau, Radmir Zosimov, Minh-Van Nguyen:
EfficientNet for Brain-Lesion classification. - Zhiyuan Zhao, Chuanxin Tang, Chengdong Yao, Chong Luo:
An Anchor-Free Detector for Continuous Speech Keyword Spotting. - Xiao-Wen Xie, Xiu-Xiu Zhan, Zi-Ke Zhang, Chuang Liu:
Vital node identification in hypergraphs via gravity model. - Sania Gul, Muhammad Salman Khan, Syed Waqar Shah, Ata Ur Rehman:
Recycling an anechoic pre-trained speech separation deep neural network for binaural dereverberation of a single source. - Axel Berg, Mark O'Connor, Kalle Åström, Magnus Oskarsson:
Extending GCC-PHAT using Shift Equivariant Neural Networks. - Renwei Yang, Shuyuan Zhu, Xiaozhen Zheng, Bing Zeng:
OL-DN: Online learning based dual-domain network for HEVC intra frame quality enhancement. - Niklas Petersen, Filipe Rodrigues, Francisco Pereira:
Representation learning of rare temporal conditions for travel time prediction. - Tingtian Li, Yuk-Hee Chan, Daniel Pak-Kong Lun:
Improved Multiple-Image-Based Reflection Removal Algorithm Using Deep Neural Networks. - Navodini Wijethilake, Aaron Kujawa, Reuben Dorent, Muhammad Asad, Anna Oviedova, Tom Vercauteren, Jonathan Shapey:
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. - Mingcan Yu, Junying Wang:
Context sequence theory: a common explanation for multiple types of learning. - Yujia Xu, Hak-Keung Lam, Guangyu Jia, Jian Jiang, Junkai Liao, Xinqi Bao:
Improving COVID-19 CT Classification of CNNs by Learning Parameter-Efficient Representation. - Richard Tjörnhammar:
Clustering Optimisation Method for Highly Connected Biological Data. - (Withdrawn) Incompleteness for stably computable formal systems.
- Thomas Chaffey, Amritam Das, Rodolphe Sepulchre:
Splitting algorithms and circuit analysis. - Antonio Scala, Marco Delmastro:
The explosive value of the networks. - Yunzhi Huang, Sahar Ahmad, Luyi Han, Shuai Wang, Zhengwang Wu, Weili Lin, Gang Li, Li Wang, Pew-Thian Yap:
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network. - Faezeh Akhavizadegan, Javad Ansarifar, Lizhi Wang, Sotirios V. Archontoulis:
Risk-averse Stochastic Optimization for Farm Management Practices and Cultivar Selection Under Uncertainty. - Yongqiang Wang, Tamer Basar:
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization. - Jan G. Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, Artur M. Schweidtmann:
Graph neural networks for the prediction of molecular structure-property relationships. - Arnaud Vadeboncoeur, Ömer Deniz Akyildiz, Ieva Kazlauskaite, Mark Girolami, Fehmi Cirak:
Deep Probabilistic Models for Forward and Inverse Problems in Parametric PDEs. - Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs. - Friedrich Martin Schneider, Caterina Viola:
An Application of Farkas' Lemma to Finite-Valued Constraint Satisfaction Problems over Infinite Domains. - James Young:
Literature Review: Graph Kernels in Chemoinformatics. - Xi Jia, Joseph Bartlett, Tianyang Zhang, Wenqi Lu, Zhaowen Qiu, Jinming Duan:
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration? - Mengjun Wu, Wangbin Ding, Mingjin Yang, Liqin Huang:
Multi-Depth Boundary-Aware Left Atrial Scar Segmentation Network. - Haleh Akrami, Wenhui Cui, Anand A. Joshi, Richard M. Leahy:
Learning from imperfect training data using a robust loss function: application to brain image segmentation. - Fan Hu, Dongqi Wang, Huazhen Huang, Yishen Hu, Peng Yin:
Bridging the gap between target-based and cell-based drug discovery with a graph generative multi-task model. - David Pekker, Chungwen Liang, Sankha Pattanayak, Swagatam Mukhopadhyay:
Machine Learning 1- and 2-electron reduced density matrices of polymeric molecules. - Daniel Guijo, Victor Onofre, Gianni Del Bimbo, Samuel Mugel, Daniel Estepa, Xabier De Carlos, Ana Adell, Aizea Lojo, Josu Bilbao, Roman Orus:
Quantum artificial vision for defect detection in manufacturing. - Melanie Weber, Suvrit Sra:
Computing Brascamp-Lieb Constants through the lens of Thompson Geometry. - André L. G. Mandolesi:
Asymmetric Metrics on the Full Grassmannian of Subspaces of Different Dimensions. - Han Ji, Qiang Wang, Stephen J. Redmond, Iman Tavakkolnia, Xiping Wu:
Adaptive Target-Condition Neural Network: DNN-Aided Load Balancing for Hybrid LiFi and WiFi Networks. - Mizuki Miyatake, Subhash Nerella, David Simpson, Natalia Pawlowicz, Sarah Stern, Patrick James Tighe, Parisa Rashidi:
Automatic Ultrasound Image Segmentation of Supraclavicular Nerve Using Dilated U-Net Deep Learning Architecture. - Johnathan A. Adams, Gentry White, Robyn P. Araujo:
Mathematical measures of societal polarisation. - Sam Condon, Marco Viero, James Bock, Howard Hui, Phil Korngut, Hiromasa Miyasaka, Ken Manatt, Chi Nguyen, Hien Nguyen, Steve Padin:
SPHERExLabTools (SLT): A Python Data Acquisition System for SPHEREx Characterization and Calibration. - (Withdrawn) KL-divergence Based Deep Learning for Discrete Time Model.
- Sangjoon Park, Eun Sun Lee, Jeong Eun Lee, Jong Chul Ye:
Alternating Cross-attention Vision-Language Model for Efficient Learning with Medical Image and Report without Curation. - Xi Lu, Hongwei Lin:
Improved Quantum Supersampling for Quantum Ray Tracing. - Yuki Sano, Masaya Norimoto, Naoki Ishikawa:
Qubit Reduction and Quantum Speedup for Wireless Channel Assignment Problem. - Sania Gul, Muhammad Salman Khan, Syed Waqar Shah:
Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source. - Amirhossein Akbar Tabatabai, Rosalie Iemhoff, Raheleh Jalali:
Uniform Lyndon Interpolation for Basic Non-normal Modal and Conditional Logics. - Hsuan-Wei Lee, Colin Cleveland, Attila Szolnoki:
When costly migration helps to improve cooperation. - Zhenyu Bu:
Multi-structure segmentation for renal cancer treatment with modified nn-UNet. - Dmitrii Karp, Yi Zhang:
Asymptotic approximations and bounds for the incomplete elliptic integral of the second kind near the logarithmic singularity. - Brittany Terese Fasy, Amit Patel:
Persistent Homology Transform Cosheaf. - Nithin Babu, Igor Donevski, Alvaro Valcarce, Petar Popovski, Jimmy Jessen Nielsen, Constantinos B. Papadias:
Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach. - Suvarna Kishorkumar Kadam, Vinay G. Vaidya:
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray Images. - Valentin De Bortoli:
Convergence of denoising diffusion models under the manifold hypothesis. - Mehdi Molkaraie:
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics. - Siba Moussa, Michael Kilgour, Clara Jans, Alex Hernández-García, Miroslava Cuperlovic-Culf, Yoshua Bengio, Lena Simine:
Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning. - Oded Cats:
Identifying Human Mobility Patterns using Smart Card Data. - Markus Grassl:
New Quantum Codes from CSS Code. - Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. - Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar:
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators. - Paula Harder, Qidong Yang, Venkatesh Ramesh, Prasanna Sattigeri, Alex Hernández-García, Campbell D. Watson, Daniela Szwarcman, David S. Rolnick:
Generating physically-consistent high-resolution climate data with hard-constrained neural networks. - Thao Nguyen, Hieu H. Pham, Huy-Khiem Le, Anh-Tu Nguyen, Ngoc Tien Thanh, Cuong Do:
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks. - Chenru Duan, Aditya Nandy, Gianmarco Terrones, David W. Kastner, Heather J. Kulik:
Rapid Exploration of a 32.5M Compound Chemical Space with Active Learning to Discover Density Functional Approximation Insensitive and Synthetically Accessible Transitional Metal Chromophores. - Jaejin Cho, Jesús Villalba, Laureano Moro-Velázquez, Najim Dehak:
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech. - Ibrahim Merad, Stéphane Gaïffas:
Robust methods for high-dimensional linear learning. - Chentao Cao, Zhuo-Xu Cui, Shaonan Liu, Dong Liang, Yanjie Zhu:
High-Frequency Space Diffusion Models for Accelerated MRI. - Huarui He, Jie Wang, Yunfei Liu, Feng Wu:
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. - Sang Eon Park, Philip C. Harris, Bryan Ostdiek:
Neural Embedding: Learning the Embedding of the Manifold of Physics Data. - Shuang Liu, Li-Tien Cheng, Bo Li:
Cell Polarity and Movement with Reaction-Diffusion and Moving Boundary: Rigorous Modeling and Robust Simulations. - Anthony Leverrier, Gilles Zémor:
A parallel decoder for good quantum LDPC codes. - Mayleen Cortez, Matthew Eichhorn, Christina Lee Yu:
Exploiting neighborhood interference with low order interactions under unit randomized design. - Cristina-Madalina Dragan, Ruairi O'Reilly:
Evaluating Generatively Synthesized Diabetic Retinopathy Imagery. - Brais González-Rodríguez, Raúl Alvite-Pazó, Samuel Alvite-Pazó, Bissan Ghaddar, Julio González-Díaz:
Polynomial Optimization: Enhancing RLT relaxations with Conic Constraints. - Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang:
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms. - Sayantan Chakraborty, Aditya Nema, Francesco Buscemi:
One-shot purity distillation with local noisy operations and one-way classical communication. - Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Scalable neural quantum states architecture for quantum chemistry. - Clyde Fare, Peter Fenner, Edward O. Pyzer-Knapp:
A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets. - Sofoclis Zambirinis, Harrison Hartle, Fragkiskos Papadopoulos:
Dynamics of cold random hyperbolic graphs with link persistence. - Nicolas Boullé, I. Newell, Patrick E. Farrell, Panayotis G. Kevrekidis:
Two-Component 3D Atomic Bose-Einstein Condensates Support Complex Stable Patterns. - Quentin Blampey, Nadège Bercovici, Charles-Antoine Dutertre, Isabelle Pic, Fabrice André, Joana Mourato Ribeiro, Paul-Henry Cournède:
Interpretable cytometry cell-type annotation with flow-based deep generative models. - Yosuke Ueno, Masaaki Kondo, Masamitsu Tanaka, Yasunari Suzuki, Yutaka Tabuchi:
NEO-QEC: Neural Network Enhanced Online Superconducting Decoder for Surface Codes. - Chris Salahub:
Approximating real symmetric Toeplitz matrices using the nearest circulant. - Kangqing Ye, Peng Liu, Qin Zhou, Guoyan Zheng:
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation. - Sidi Wu, Cédric Beaulac, Jiguo Cao:
Neural Networks for Scalar Input and Functional Output. - Alexey Belenkin, Michael Hartz, Thomas Schuster:
A note on Γ-convergence of Tikhonov functionals for nonlinear inverse problems. - Georgios Karakasidis, Tamás Grósz, Mikko Kurimo:
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR. - Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann:
Speech Enhancement and Dereverberation with Diffusion-based Generative Models. - Alicia Curth, Alihan Hüyük, Mihaela van der Schaar:
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. - Jakob Wasserthal, Manfred Meyer, Hanns-Christian Breit, Joshy Cyriac, Shan Yang, Martin Segeroth:
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images. - Prashin Jethwa, Fabian Parzer, Otmar Scherzer, Glenn van de Ven:
Uncertainty-Aware Blob Detection with an Application to Integrated-Light Stellar Population Recoveries. - Nikita Doikov, Konstantin Mishchenko, Yurii E. Nesterov:
Super-Universal Regularized Newton Method. - Longjian Li, Alexis Akira Toda:
Incentivizing Hidden Types in Secretary Problem. - A. Estupiñán, J. Acuña, A. Rodriguez, A. Ayala, C. Estupiñán, Ramón Enrique Ramayo González, Daniel A. Triana-Camacho, K. L. Cristiano-Rodríguez, Carlos Andrés Collazos Morales:
Machine learning in front of statistical methods for prediction spread SARS-CoV-2 in Colombia. - Chelsea Myers-Colet, Julien Schroeter, Douglas L. Arnold, Tal Arbel:
Heatmap Regression for Lesion Detection using Pointwise Annotations. - Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan:
Valid Inference after Causal Discovery. - Markus Bachlechner, Thilo Birkenfeld, Philipp Soldin, Achim Stahl, Christopher Wiebusch:
Partition Pooling for Convolutional Graph Network Applications in Particle Physics. - Jon Wilkening, Xinyu Zhao:
Spatially quasi-periodic bifurcations from periodic traveling water waves and a method for detecting bifurcations using signed singular values. - Max H. Cohen, Calin Belta, Roberto Tron:
Robust Control Barrier Functions for Nonlinear Control Systems with Uncertainty: A Duality-based Approach. - Felipe M. Moreno, Caio F. D. Netto, Marcel R. de Barros, Jefferson F. Coelho, Lucas P. de Freitas, Marlon S. Mathias, Luiz A. Schiaveto Neto, Marcelo Dottori, Fábio G. Cozman, Anna H. R. Costa, Edson S. Gomi, Eduardo Aoun Tannuri:
Enhancing Oceanic Variables Forecast in the Santos Channel by Estimating Model Error with Random Forests. - Caner Ozer, Arda Güler, Aysel Turkvatan Cansever, Deniz Alis, Ercan Karaarslan, Ilkay Öksüz:
Shifted Windows Transformers for Medical Image Quality Assessment. - Hao Li, Yang Nan, Javier Del Ser, Guang Yang:
Region-Based Evidential Deep Learning to Quantify Uncertainty and Improve Robustness of Brain Tumor Segmentation. - Devin C. Jean, Suk Jai Seo:
Optimal Error-detection system for Identifying Codes. - Xiangzhe Kong, Wenbing Huang, Yang Liu:
Conditional Antibody Design as 3D Equivariant Graph Translation. - Hsin-Yu Ko, Marcos F. Calegari Andrade, Zachary M. Sparrow, Robert A. DiStasio Jr.:
High-Throughput Condensed-Phase Hybrid Density Functional Theory for Large-Scale Finite-Gap Systems: The SeA Approach. - Xiangyu Zhao, Di Zang, Sheng Wang, Zhenrong Shen, Kai Xuan, Zeyu Wei, Zhe Wang, Ruizhe Zheng, Xuehai Wu, Zheren Li, Qian Wang, Zengxin Qi, Lichi Zhang:
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation. - Rohan Sangameswaran:
MAIScope: A low-cost portable microscope with built-in vision AI to automate microscopic diagnosis of diseases in remote rural settings. - Trent Henderson, Ben D. Fulcher:
Feature-Based Time-Series Analysis in R using the theft Package. - Md Sarowar Morshed:
ALS: Augmented Lagrangian Sketching Methods for Linear Systems. - Ning Gao, Dantong Li, Anchit Mishra, Junchen Yan, Kyrylo Simonov, Giulio Chiribella:
Measuring incompatibility and clustering quantum observables with a quantum switch. - Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang:
Unifying Gradients to Improve Real-world Robustness for Deep Networks. - Jordan Awan, Yue Wang:
Differentially Private Kolmogorov-Smirnov-Type Tests. - Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji:
Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model. - Kyungmin Lee, Jinwoo Shin:
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence. - Gurinder Singh, Anand Srivastava, Vivek Ashok Bohara, Md. Noor-A-Rahim, Zilong Liu, Dirk Pesch, Lajos Hanzo:
Towards 6G-V2X: Hybrid RF-VLC for Vehicular Networks. - Ziyang Wang, Irina Voiculescu:
Triple-View Feature Learning for Medical Image Segmentation. - Lu Li, Kaifeng Bu, Dax Enshan Koh, Arthur Jaffe, Seth Lloyd:
Wasserstein Complexity of Quantum Circuits. - Qinghui Liu, Bradley J. MacIntosh, Till Schellhorn, Karoline Skogen, Kyrre Eeg Emblem, Atle Bjørnerud:
Voxels Intersecting along Orthogonal Levels Attention U-Net (viola-Unet) to Segment Intracerebral Haemorrhage Using Computed Tomography Head Scans. - Yirui Liu, Xinghao Qiao, Liying Wang, Jessica Lam:
EEGNN: Edge Enhanced Graph Neural Networks. - Casper Gyurik, Vedran Dunjko:
On establishing learning separations between classical and quantum machine learning with classical data. - William Han, Jielin Qiu, Jiacheng Zhu, Mengdi Xu, Douglas Weber, Bo Li, Ding Zhao:
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram. - Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad, Sarmad Al Aloussi, Tarik A. Rashid, Omar Hisham Alsadoon, Oday D. Jerew:
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function. - Swarnavo Sarkar:
Communication network model of the immune system identifies the impact of interactions with SARS-CoV-2 proteins. - (Withdrawn) 3D Graph Contrastive Learning for Molecular Property Prediction.
- Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Hyperbolic Molecular Representation Learning for Drug Repositioning. - Imra Aqeel, Abdul Majid:
Hybrid Approach to Identify Druglikeness Leading Compounds against COVID-19 3CL Protease. - Michael A. Kouritzin:
Markov Observation Models. - Benjamin Schäfer, Leonardo Rydin Gorjão, G. Cigdem Yalcin, Ellen Förstner, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer:
Microscopic fluctuations in power-grid frequency recordings at the sub-second scale. - Bradly Alicea, Jesse Parent:
Layers, Folds, and Semi-Neuronal Information Processing. - Rounak Meyur, Anil Vullikanti, Samarth Swarup, Henning S. Mortveit, Virgilio Centeno, Arun G. Phadke, H. Vincent Poor, Madhav V. Marathe:
Ensembles of Realistic Power Distribution Networks. - Simon Buchholz, Michel Besserve, Bernhard Schölkopf:
Function Classes for Identifiable Nonlinear Independent Component Analysis. - Dakota J. Thompson, Amro M. Farid:
A Hetero-functional Graph Structural Analysis of the American Multi-modal Energy System. - Ziyang Wang, Tianze Li, Jian-Qing Zheng, Baoru Huang:
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation. - Siyu Chen, Guanhao Huang, Giovanni Piccioli, Lenka Zdeborová:
The planted XY model: thermodynamics and inference. - Shubham Jadhav, Ved Gund, Benyamin Davaji, Debdeep Jena, Huili Grace Xing, Amit Lal:
HZO-based FerroNEMS MAC for In-Memory Computing. - Ronen Eldan, Dan Mikulincer, Prasad Raghavendra:
Noise stability on the Boolean hypercube via a renormalized Brownian motion. - Allen Ibiapina, Ana Silva:
Mengerian graphs: characterization and recognition. - N. Miranda, Johann-Christoph Freytag, Jakob Nordin, Rahul Biswas, Valery Brinnel, Christoffer Fremling, Marek Kowalski, Ashish Mahabal, Simeon Reusch, Jakob van Santen:
SNGuess: A method for the selection of young extragalactic transients. - Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian accelerated gradient methods via extrapolation. - Zhaoshan Liu, Lei Shen:
Medical image analysis based on transformer: A Review. - Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra:
Inverse Extended Kalman Filter - Part II: Highly Non-Linear and Uncertain Systems. - Daniele Tramontano, Anthea Monod, Mathias Drton:
Learning Linear Non-Gaussian Polytree Models. - François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization. - Anbang Wu, Yufei Ding, Ang Li:
CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering. - Sevcan Turk, Kaya Oguz, Mehmet Orman, Emre Çaliskan, Yesim Ertan, Erkin Ozgiray, Taner Akalin, Ashok Srinivasan, Omer Kitis:
Machine Learning Based Radiomics for Glial Tumor Classification and Comparison with Volumetric Analysis. - Hakop Hakopian, Gagik Vardanyan, Navasard Vardanyan:
On the Gasca-Maeztu conjecture for n=6. - Tianyi Zhang, Youdan Feng, Yunlu Feng, Yu Zhao, Yanli Lei, Nan Ying, Zhiling Yan, Yufang He, Guanglei Zhang:
Shuffle Instances-based Vision Transformer for Pancreatic Cancer ROSE Image Classification. - Michael Anastos:
An improved lower bound on the length of the longest cycle in random graphs. - Max Lamparth, Ludwig Böss, Ulrich Steinwandel, Klaus Dolag:
Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves. - Christoph Benzmüller, David Fuenmayor, Alexander Steen, Geoff Sutcliffe:
Who Finds the Short Proof? An Exploration of Variants of Boolos' Curious Inference using Higher-order Automated Theorem Provers. - Wesley H. Holliday, Eric Pacuit, Saam Zahedian:
An approach to generalizing some impossibility theorems in social choice. - Di Fang, Lin Lin, Yu Tong:
Time-marching based quantum solvers for time-dependent linear differential equations. - Tyson Neuroth, Martin Rieth, Aditya Konduri, Myoungkyu Lee, Jacqueline H. Chen, Kwan-Liu Ma:
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis. - Zihao Wang, Victor Veitch:
A Unified Causal View of Domain Invariant Representation Learning. - Harold R. Parks, Dean C. Wills:
An Elementary Proof of the Generalization of the Binet Formula for k-bonacci Numbers. - Hang-Hyun Jo, Eun Lee, Young-Ho Eom:
Copula-based analysis of the generalized friendship paradox in clustered networks. - Luca Venturino, Emanuele Grossi, Marco Lops, Jeremy Johnston, Xiaodong Wang:
Radar-enabled ambient backscatter communication. - Kaustubh R. Patil, Simon B. Eickhoff, Robert Langner:
Predictive Data Calibration for Linear Correlation Significance Testing. - Byungjin Cho, Yu Xiao, Pan Hui, Daoyi Dong:
Quantum bandit with amplitude amplification exploration in an adversarial environment. - Ricard Durall:
Asset Allocation: From Markowitz to Deep Reinforcement Learning. - Jun Lu, Danny Ding:
A Hybrid Approach on Conditional GAN for Portfolio Analysis. - Deepayan Banerjee, Aaron V. Diebold, David R. Smith, Michael Boyarsky:
An Integrated, Phase-Controlled Power Divider for Metasurface Array Antennas. - Taylan Kabbani, Ekrem Duman:
Deep Reinforcement Learning Approach for Trading Automation in The Stock Market. - Jaydip Sen, Arpit Awad, Aaditya Raj, Gourav Ray, Pusparna Chakraborty, Sanket Das, Subhasmita Mishra:
Stock Performance Evaluation for Portfolio Design from Different Sectors of the Indian Stock Market. - Shaofeng Yuan:
Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks. - Arthur Pignet, Luiz Leal, Vaibhav Jaiswal:
Cross Section Doppler Broadening prediction using Physically Informed Deep Neural Networks. - Lei Li, Zhiyuan Zhang, Ruihan Bao, Keiko Harimoto, Xu Sun:
Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. - Kody J. H. Law, Neil S. Walton, Shangda Yang:
Convergence Rates for Stochastic Approximation on a Boundary. - Semen A. Budennyy, Alexey Kazakov, Elizaveta Kovtun, Leonid Zhukov:
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements. - Quentin Ayoul-Guilmard, Sundar Ganesh, Sebastian Krumscheid, Fabio Nobile:
Quantifying uncertain system outputs via the multi-level Monte Carlo method - distribution and robustness measures. - Mike Kraehenbuehl, Jörg Osterrieder:
The Efficient Market Hypothesis for Bitcoin in the context of neural networks. - Yue Yu, Kartik Nagpal, Margaret Skye Mceowen, Behçet Açikmese, Ufuk Topcu:
Real-Time Quadrotor Trajectory Optimization with Time-Triggered Corridor Constraints. - Shahan Nercessian:
Differentiable WORLD Synthesizer-based Neural Vocoder With Application To End-To-End Audio Style Transfer. - Hsiang-Yun Wu, Benjamin Niedermann, Shigeo Takahashi, Martin Nöllenburg:
A Survey on Computing Schematic Network Maps: The Challenge to Interactivity. - Dana Kirchem, Wolf-Peter Schill:
Power sector effects of alternative production and storage options for green hydrogen. - Daniel Wood:
Task Oriented Video Coding: A Survey. - Hanna Siebert, Marian Himstedt, Mattias P. Heinrich:
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students. - Celestine Mendler-Dünner, Frances Ding, Yixin Wang:
Predicting from Predictions. - Wenceslao Shaw-Cortez, Soumya Vasisht, Aaron Tuor, Ján Drgona, Draguna L. Vrabie:
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles. - Stamatina Lamprinakou, Axel Gandy, Emma J. McCoy:
Can a latent Hawkes process be used for epidemiological modelling? - Jacob M. Clary, Eric B. Jones, Derek Vigil-Fowler, Christopher Chang, Peter A. Graf:
Exploring the scaling limitations of the variational quantum eigensolver with the bond dissociation of hydride diatomic molecules. - Abhishek Srivastava, Debesh Jha, Elif Keles, Bulent Aydogan, Mohamed Abazeed, Ulas Bagci:
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation. - Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik:
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions. - Chunlei Zhang, Dong Yu:
C3-DINO: Joint Contrastive and Non-contrastive Self-Supervised Learning for Speaker Verification. - Alberto Espuny Díaz, Patrick Morris, Guillem Perarnau, Oriol Serra:
Speeding up random walk mixing by starting from a uniform vertex. - Baturalp Yalcin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi:
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. - Bo Lu, Yong-Pan Gao, Kai Wen, Chuan Wang:
Combinatorial optimization solving by coherent Ising machines based on spiking neural networks. - Robin Kothari, Ryan O'Donnell:
Mean estimation when you have the source code; or, quantum Monte Carlo methods. - Juhyung Park, Dongwon Park, Hyeong-Geol Shin, Eun-Jung Choi, Hongjun An, Minjun Kim, Dongmyung Shin, Se Young Chun, Jongho Lee:
Coil2Coil: Self-supervised MR image denoising using phased-array coil images. - Jordan Richards, Raphaël Huser:
A unifying partially-interpretable framework for neural network-based extreme quantile regression. - Felix Voigtländer:
$L^p$ sampling numbers for the Fourier-analytic Barron space. - Amin Maghami, Evrim Ursavas, Ashish Cherukuri:
A two-step approach to Wasserstein distributionally robust chance- and security-constrained dispatch. - Chulong Zhang, Yuming Jiang, Na Li, Zhicheng Zhang, Md Tauhidul Islam, Jingjing Dai, Lin Liu, Wenfeng He, Wenjian Qin, Jing Xiong, Yaoqin Xie, Xiaokun Liang:
A Hybrid Deep Feature-Based Deformable Image Registration Method for Pathological Images. - Andrei Andrusenko, Rauf Nasretdinov, Aleksei Romanenko:
Uconv-Conformer: High Reduction of Input Sequence Length for End-to-End Speech Recognition. - Arnaud Doucet, Will Grathwohl, Alexander G. de G. Matthews, Heiko Strathmann:
Score-Based Diffusion meets Annealed Importance Sampling. - Ellen Piercy, Willy Verstraete, Peter R. Ellis, Johan Rockström, Pete Smith, Oliver Witard, Jason Hallett, Christer Hogstrand, Geoffrey Knott, Ai Karwati, Henintso Felamboahangy Rasoarahona, Andrew Leslie, Yiying He, Mason Banks, Miao Guo:
A sustainable waste-to-protein system to maximise waste resource utilisation for developing food- and feed-grade protein solutions. - Vincent Dumont, Xiangyang Ju, Juliane Mueller:
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations. - Jindi Wu, Zeyi Tao, Qun Li:
Scalable Quantum Neural Networks for Classification. - Yuting Ding, Di Wu:
A Latent Feature Analysis-based Approach for Spatio-Temporal Traffic Data Recovery. - Mehrsa Pourya, Alexis Goujon, Michael Unser:
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization. - Faezeh Amouzegar, Hamid Mirvaziri, Mostafa Ghazizadeh Ahsaee, Mahdi Shariatzadeh:
Diagnosis of COVID-19 disease using CT scan images and pre-trained models. - Srinivasan Arunachalam, Sergey Bravyi, Arkopal Dutt, Theodore J. Yoder:
Optimal algorithms for learning quantum phase states. - Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon, Nada AlSallami, Tarik A. Rashid, P. W. C. Prasad, Sami Haddad:
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network. - Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai:
Collaborative causal inference on distributed data. - Theo Diamandis, Alex Evans, Tarun Chitra, Guillermo Angeris:
Dynamic Pricing for Non-fungible Resources. - R. Maria Del Rio Chanona, Alejandro Hermida Carrillo, Melody Sepahpour-Fard, Luning Sun, Renata Topinkova, Ljubica Nedelkoska:
Mental health concerns prelude the Great Resignation: Evidence from Social Media. - Yonah Borns-Weil, Di Fang:
Uniform observable error bounds of Trotter formulae for the semiclassical Schrödinger equation. - Mohsen Ghassemi, Niccolò Dalmasso, Simran Lamba, Vamsi K. Potluru, Sameena Shah, Tucker Balch, Manuela Veloso:
Online Learning for Mixture of Multivariate Hawkes Processes. - Michele Grossi, Noelle Ibrahim, Voica Radescu, Robert Loredo, Kirsten Voigt, Constantin von Altrock, Andreas Rudnik:
Mixed Quantum-Classical Method For Fraud Detection with Quantum Feature Selection. - Ali Cox, Quntao Zhuang, Christos N. Gagatsos, Boulat A. Bash, Saikat Guha:
Transceiver designs to attain the entanglement assisted communications capacity. - Sung Hwan Mun, Min Hyun Han, Minchan Kim, Dongjune Lee, Nam Soo Kim:
Disentangled Speaker Representation Learning via Mutual Information Minimization. - Alexandros-Apostolos A. Boulogeorgos, Edwin Yaqub, Rachana Desai, Tachporn Sanguanpuak, Nikos Katzouris, Fotis I. Lazarakis, Angeliki Alexiou, Marco Di Renzo:
Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks. - Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa:
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition. - Nicholas G. Polson, Vadim Sokolov, Jianeng Xu:
Quantum Bayes AI. - Bai Xue, Naijun Zhan, Martin Fränzle, Ji Wang, Wanwei Liu:
Reach-avoid Verification Based on Convex Optimization. - Aleksandr Beknazaryan:
Shallow neural network representation of polynomials. - Dongyang Kuang, Craig Michoski, Wenting Li, Rui Guo:
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data. - Peidi Xu, Faezeh Moshfeghifar, Torkan Gholamalizadeh, Michael Bachmann Nielsen, Kenny Erleben, Sune Darkner:
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learning. - Emadaldin Mozafari-Majd, Visa Koivunen:
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data. - Binrui Shen, Qiang Niu, Shengxin Zhu:
Dynamical softassign and adaptive parameter tuning for graph matching. - Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang, Linfeng Zhang, Han Wang:
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation. - Steven Kleinegesse, Andrew R. Lawrence, Hana Chockler:
Domain Knowledge in A*-Based Causal Discovery. - Ko-Hui Michael Fan, Chih-Chung Chang, Kuang-Hsiao-Yin Kongguoluo:
Semi-Supervised Anomaly Detection Based on Quadratic Multiform Separation. - Collin Beaudoin, Satwik Kundu, Rasit Onur Topaloglu, Swaroop Ghosh:
Quantum Machine Learning for Material Synthesis and Hardware Security. - Yanqi Wu, Hossein S. Aghamiry, Stéphane Operto, Jianwei Ma:
Wave simulation in non-smooth media by PINN with quadratic neural network and PML condition. - Felix Jakob Segerer, Katharina Nekolla, Lorenz Rognoni, Ansh Kapil, Markus Schick, Helen Angell, Günter Schmidt:
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI. - Harshit Agrawal, Ari Hietanen, Simo Särkkä:
Metal artifact correction in cone beam computed tomography using synthetic X-ray data. - Tashreef Muhammad, Anika Bintee Aftab, Md. Mainul Ahsan, Maishameem Meherin Muhu, Muhammad Ibrahim, Shahidul Islam Khan, Mohammad Shafiul Alam:
Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market. - John W. Simpson-Porco:
Low-Gain Stabilizers for Linear-Convex Optimal Steady-State Control. - François Doré, Enrico Formenti, Antonio E. Porreca, Sara Riva:
Algorithmic reconstruction of discrete dynamics. - Chengxi Zeng, Xinyu Yang, Majid Mirmehdi, Alberto M. Gambaruto, Tilo Burghardt:
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation. - Ana Maria Acu, Margareta Heilmann, Ioan Rasa, Andra Seserman:
Poisson approximation to the binomial distribution: extensions to the convergence of positive operators. - Litao Yang, Deval Mehta, Dwarikanath Mahapatra, Zongyuan Ge:
Leukocyte Classification using Multimodal Architecture Enhanced by Knowledge Distillation. - Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli:
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images. - Edward Sanderson, Bogdan J. Matuszewski:
FCN-Transformer Feature Fusion for Polyp Segmentation. - Túlio A. Pascoal, Jérémie Decouchant, Antoine Boutet, Marcus Völp:
I-GWAS: Privacy-Preserving Interdependent Genome-Wide Association Studies. - Isaac Gibbs, Emmanuel J. Candès:
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts. - Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody A. Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters:
"Task-relevant autoencoding" enhances machine learning for human neuroscience. - Xia Han, Ruodu Wang, Xun Yu Zhou:
Choquet regularization for reinforcement learning. - Dennis Frauen, Stefan Feuerriegel:
Estimating individual treatment effects under unobserved confounding using binary instruments. - Gokul Subramanian Ravi, Jonathan M. Baker, Arash Fayyazi, Sophia Fuhui Lin, Ali Javadi-Abhari, Massoud Pedram, Frederic T. Chong:
Have your QEC and Bandwidth too!: A lightweight cryogenic decoder for common / trivial errors, and efficient bandwidth + execution management otherwise. - Joyce A. Chew, Matthew J. Hirn, Smita Krishnaswamy, Deanna Needell, Michael Perlmutter, Holly R. Steach, Siddharth Viswanath, Hau-Tieng Wu:
Geometric Scattering on Measure Spaces. - Mukund Sudarshan, Aahlad Manas Puli, Wesley Tansey, Rajesh Ranganath:
DIET: Conditional independence testing with marginal dependence measures of residual information. - Luke Snow, Vikram Krishnamurthy, Brian M. Sadler:
Quickest Detection for Human-Sensor Systems using Quantum Decision Theory. - Qiuliang Ye, Li-Wen Wang, Daniel Pak-Kong Lun:
Towards Practical Single-shot Phase Retrieval with Physics-Driven Deep Neural Network. - (Withdrawn) Event-triggered Finite-time Control Using Inverse-optimal Implicit Lyapunov Function.
- Tsuyoshi Miezaki, Hiroyuki Nakasora:
On the Assmus-Mattson type theorem for Type I and even formally self-dual codes. - Yuefang Sun:
Perfect Out-forests and Steiner Cycle Packing in Digraphs. - Zhikang Dong, Pawel Polak:
CP-PINNs: Changepoints Detection in PDEs using Physics Informed Neural Networks with Total-Variation Penalty. - Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros:
Pandemic Control, Game Theory and Machine Learning. - Pongpanut Osathitporn, Guntitat Sawadwuthikul, Punnawish Thuwajit, Kawisara Ueafuea, Thee Mateepithaktham, Narin Kunaseth, Tanut Choksatchawathi, Proadpran Punyabukkana, Emmanuel Mignot, Theerawit Wilaiprasitporn:
RRWaveNet: A Compact End-to-End Multi-Scale Residual CNN for Robust PPG Respiratory Rate Estimation. - Tim Berezin:
Embeddable of one-vertex graph with rotations into torus. - Chinthaka Dinesh, Gene Cheung, Saghar Bagheri, Ivan V. Bajic:
Efficient Signed Graph Sampling via Balancing & Gershgorin Disc Perfect Alignment. - Sicheng Yang, Methawee Tantrawenith, Haolin Zhuang, Zhiyong Wu, Aolan Sun, Jianzong Wang, Ning Cheng, Huaizhen Tang, Xintao Zhao, Jie Wang, Helen Meng:
Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion. - Frank Qiu:
Memory and Capacity of Graph Embedding Methods. - Xiaoyu Wang, Martin Benning:
Lifted Bregman Training of Neural Networks. - Stefan Röhrl, Alice Hein, Lucie Huang, Dominik Heim, Christian Klenk, Manuel Lengl, Martin Knopp, Nawal Hafez, Oliver Hayden, Klaus Diepold:
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis. - Radhika Dua, Jiyoung Lee, Joon-Myoung Kwon, Edward Choi:
Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels. - Yi Yu, Hongsen He, Rodrigo C. de Lamare, Badong Chen:
Study of General Robust Subband Adaptive Filtering. - Harshit Sharma, Yi Xiao, Victoria Tumanova, Asif Salekin:
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach. - Andrea Duggento, Mario De Lorenzo, Stefano Bargione, Allegra Conti, Vincenzo Catrambone, Gaetano Valenza, Nicola Toschi:
An intertwined neural network model for EEG classification in brain-computer interfaces. - Vidyesh Rao Anisetti, Ananth Kandala, Benjamin Scellier, J. M. Schwarz:
Frequency propagation: Multi-mechanism learning in nonlinear physical networks. - Akanksha Agrawal, Henning Fernau, Philipp Kindermann, Kevin Mann, Uéverton S. Souza:
Recognizing well-dominated graphs is coNP-complete. - Md. Mamunur Rashid, Al-Akhir Nayan, Md. Obaidur Rahman, Sabrina Afrin Simi, Joyeta Saha, Muhammad Golam Kibria:
IoT based Smart Water Quality Prediction for Biofloc Aquaculture. - Alice C. Schwarze, Sara M. Ichinaga, Bingni W. Brunton:
Network inference via process motifs for lagged correlation in linear stochastic processes. - Xi Yang, Mark Harfouche, Kevin C. Zhou, Lucas Kreiß, Shiqi Xu, Kanghyun Kim, Roarke Horstmeyer:
Multi-modal imaging using a cascaded microscope design. - Hanif Heidari, Gerhard Hellstern:
Early heart disease prediction using hybrid quantum classification. - Heng Kong, Shuqiang Wang:
Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment. - Payongkit Lakhan, Nannapas Banluesombatkul, Natchaya Sricom, Korn Surapat, Ratha Rotruchiphong, Phattarapong Sawangjai, Tohru Yagi, Tulaya Limpiti, Theerawit Wilaiprasitporn:
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity. - Imon Banerjee, Jean Honorio:
Meta Sparse Principal Component Analysis. - Jing Zhang, Athanasios Tsiligkaridis, Hiroshi Taguchi, Arvind U. Raghunathan, Daniel Nikovski:
Transformer Networks for Predictive Group Elevator Control. - Moumita Bhowmik, Manmeet Singh, A. Suryachandra Rao, Souvik Paul:
DeepClouds.ai: Deep learning enabled computationally cheap direct numerical simulations. - Mengyuan Wang, Mehran Mesbahi:
To charge in-flight or not: an inquiry into parallel-hybrid electric aircraft configurations via optimal control. - Ziqi Wang:
Optimized Equivalent Linearization for Random Vibration. - Md. Taufiqul Haque Khan Tusar, Roban Khan Anik:
Automated Detection of Acute Lymphoblastic Leukemia Subtypes from Microscopic Blood Smear Images using Deep Neural Networks. - Gianluca Bianchin, Miguel Vaquero, Jorge Cortés, Emiliano Dall'Anese:
k-Dimensional Agreement in Multiagent Systems. - Julian Sieber, Johann Gehringer:
Quantitative Universal Approximation Bounds for Deep Belief Networks. - Mahault Albarracin, Riddhi J. Pitliya, Maxwell J. D. Ramstead, Jeffrey Yoshimi:
Mapping Husserlian phenomenology onto active inference. - Eiichi Bannai, Tsuyoshi Miezaki, Hiroyuki Nakasora:
A note on the Assmus-Mattson theorem for some binary codes II. - Franklin Wang, Jian Ge, Kevin Willis:
Discovering Faint and High Apparent Motion Rate Near-Earth Asteroids Using A Deep Learning Program. - Nan Chen, Yinling Zhang:
A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization. - Antara Dasgupta, Lasse Hybbeneth, Björn Waske:
Towards Daily High-resolution Inundation Observations using Deep Learning and EO. - Gaurush Hiranandani:
Classification Performance Metric Elicitation and its Applications. - Ebbe Kyhl Gøtske, Gorm Bruun Andresen, Marta Victoria:
Requirements and impacts of energy storage characteristics in a highly renewable European energy system. - Iman Nodozi, Jared O'Leary, Ali Mesbah, Abhishek Halder:
A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly. - Elisabeth Remm:
Perturbations of polynomials and applications. - Eva Schnider, Antal Huck, Mireille Toranelli, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin:
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images. - Ankur Sinha, Arka Das, Guneshwar Anand, Sachin Jayaswal:
A General Purpose Exact Solution Method for Mixed Integer Concave Minimization Problems. - Yi Guo, Ognjen Stanojev, Gabriela Hug, Tyler H. Summers:
Sparse Structure Design for Stochastic Linear Systems via a Linear Matrix Inequality Approach. - Sofia Kanwal, Sohail Asghar, Hazrat Ali:
Feature Selection Enhancement and Feature Space Visualization for Speech-Based Emotion Recognition. - Nikolaj Rønne, Mads-Peter V. Christiansen, Andreas Møller Slavensky, Zeyuan Tang, Florian Brix, Mikkel Elkjær Pedersen, Malthe Kjær Bisbo, Bjørk Hammer:
Atomistic structure search using local surrogate mode. - Jiarui Xu, Lianjun Li, Lizhong Zheng, Lingjia Liu:
Learn to Detect and Detect to Learn: Structure Learning and Decision Feedback for MIMO-OFDM Receive Processing. - Zhongze Cai, Hanzhao Wang, Kalyan T. Talluri, Xiaocheng Li:
Deep Learning for Choice Modeling. - Victor Felipe Reis-Silva:
DCNNV-19: A Deep Convolutional Neural Network for COVID-19 Detection in Chest Computed Tomographies. - Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang:
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation. - Swamit S. Tannu, Poulami Das, Ramin Ayanzadeh, Moinuddin K. Qureshi:
HAMMER: boosting fidelity of noisy Quantum circuits by exploiting Hamming behavior of erroneous outcomes. - Po-Yi Liu, Chi-Hua Wang, Heng-Hsui Tsai:
Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing. - Mustafa Yildirim, Ilker Oguz, Fabian Kaufmann, Marc Reig Escale, Rachel Grange, Demetri Psaltis, Christophe Moser:
Nonlinear Optical Data Transformer for Machine Learning. - Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann:
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. - V. K. Suman, Prasannabalaji Sundaram, Soumyo Sengupta, Aditi Sengupta, Tapan K. Sengupta:
Quantifying Resolutions for DNS and LES for Lax-Wendroff Method: Application to Uniform/Non-Uniform Compact Schemes. - Oliver Townsend, Silvia Gazzola, Sergey Dolgov, Paul Quinn:
Undersampling Raster Scans in Spectromicroscopy for reduced dose and faster measurements. - Antonios Mamalakis, Elizabeth A. Barnes, Imme Ebert-Uphoff:
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience. - Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich:
Graph neural networks for materials science and chemistry. - Zhong Zhuang, Taihui Li, Hengkang Wang, Ju Sun:
Blind Image Deblurring with Unknown Kernel Size and Substantial Noise. - Tanish Jain, Praveen Kumar Pandian Shanmuganathan:
In Silico Prediction of Blood-Brain Barrier Permeability of Chemical Compounds through Molecular Feature Modeling. - Valentina Salvatelli, Luiz F. G. dos Santos, Souvik Bose, Brad Neuberg, Mark C. M. Cheung, Miho Janvier, Meng Jin, Yarin Gal, Atilim Gunes Baydin:
Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation. - Hüseyin Bahtiyar:
Predicting Exotic Hadron Masses with Data Augmentation Using Multilayer Perceptron. - Michael Celentano:
Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy. - Chengyu Liu, Wei Wang:
Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression. - Harold R. Parks, Dean C. Wills:
Two eggs any style - generalizing egg-drop experiments. - Michal Derezinski, Elizaveta Rebrova:
Sharp Analysis of Sketch-and-Project Methods via a Connection to Randomized Singular Value Decomposition. - Wei Zheng, Fengming Xue, Ming Zhang, Zhongyong Chen, Chengshuo Shen, Xinkun Ai, Nengchao Wang, Dalong Chen, Bihao Guo, Yonghua Ding, Zhipeng Chen, Zhoujun Yang, Biao Shen, Bingjia Xiao, Yuan Pan:
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor. - Akansh Maurya, Kunal Dashrath Patil, Rohan Padhy, Kalluri Ramakrishna, Ganapathy Krishnamurthi:
PARSE challenge 2022: Pulmonary Arteries Segmentation using Swin U-Net Transformer(Swin UNETR) and U-Net. - Lioba Heimbach, Eric Schertenleib, Roger Wattenhofer:
Exploring Price Accuracy on Uniswap V3 in Times of Distress. - Ante Sikirica, Luka Grbcic, Lado Kranjcevic:
Machine learning based surrogate models for microchannel heat sink optimization. - Sheyda Peyman, Minh Tang, Vince Lyzinski:
Adversarial contamination of networks in the setting of vertex nomination: a new trimming method. - Wesley Fussner, Nick Galatos:
Conic Idempotent Residuated Lattices. - Johannes O. Royset:
On Robustness in Nonconvex Optimization with Application to Defense Planning. - Feng Dai, Egor D. Kosov, Vladimir N. Temlyakov:
Some improved bounds in sampling discretization of integral norms. - Binu Abeysinghe, Jesin James, Catherine I. Watson, Felix Marattukalam:
Visualising Model Training via Vowel Space for Text-To-Speech Systems. - Kai Wu, J. Andrew Zhang, Zhitong Ni, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen:
Joint Communications and Sensing Employing Optimized MIMO-OFDM Signals. - Kai Wu, J. Andrew Zhang, Xiaojing Huang, Y. Jay Guo, Lajos Hanzo:
Simultaneous Beam and User Selection for the Beamspace mmWave/THz Massive MIMO Downlink. - Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani:
FastCPH: Efficient Survival Analysis for Neural Networks. - Isa Atas, Cüneyt Özdemir, Musa Atas, Yahya Dogan:
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network. - V. K. Suman, Soumyo Sengupta, Prasannabalaji Sundaram, Aditi Sengupta, Tapan K. Sengupta:
Determining Parameter Ranges for High Accuracy Large Eddy Simulation by Lax-Wendroff Method. - Gi-Soo Kim, Hyun-Joon Yang, Jane P. Kim:
Robust Tests in Online Decision-Making. - Mohammad Farazmand, Arvind K. Saibaba:
Tensor-based flow reconstruction from optimally located sensor measurements. - Enrui Zhang, Bart Spronck, Jay D. Humphrey, George Em Karniadakis:
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning. - Xuran Meng, Jianfeng Yao, Yuan Cao:
Multiple Descent in the Multiple Random Feature Model. - Elton Pinto:
An Implementation of the Quantum Verification of Matrix Products Algorithm. - Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo:
AA-Forecast: Anomaly-Aware Forecast for Extreme Events. - J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Laura J. Freeman, Edward Bowen, Xinwei Deng:
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm. - Daniel Poh, Stephen J. Roberts, Stefan Zohren:
Transfer Ranking in Finance: Applications to Cross-Sectional Momentum with Data Scarcity. - Mengying Lei, Aurélie Labbe, Lijun Sun:
Bayesian Complementary Kernelized Learning for Multidimensional Spatiotemporal Data. - Steven Finch:
M/D/1 Queues with LIFO and SIRO Policies. - Karl Pierce, Edward F. Valeev:
Efficient construction of canonical polyadic approximations of tensor networks. - Tong Xiao, Buye Xu, Chuming Zhao:
Spatially Selective Active Noise Control Systems. - Kang Du, Yu Xiang:
Learning Invariant Representations under General Interventions on the Response. - Sani Biswas, Chaman Kumar, Neelima, Gonçalo Dos Reis, Christoph Reisinger:
An explicit Milstein-type scheme for interacting particle systems and McKean-Vlasov SDEs with common noise and non-differentiable drift coefficients. - Bin Zhu, Jiahao Liu, Zhengshou Lai, Tao Qian:
Sampling Gaussian Stationary Random Fields: A Stochastic Realization Approach. - David R. Wood:
Product structure of graph classes with strongly sublinear separators. - Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. - Chenqi Qian, Philipp del Hougne:
Noise-Adaptive Intelligent Programmable Meta-Imager. - Robert P. Gilles, Lina Mallozzi:
Generalised Gately Values of Cooperative Games. - Neethu P. K., S. V. Ullas Chandran:
On the monophonic convexity number of the complementary prisms. - Yaosen Min, Ye Wei, Peizhuo Wang, Nian Wu, Stefan Bauer, Shuxin Zheng, Yu Shi, Yingheng Wang, Dan Zhao, Ji Wu, Jianyang Zeng:
Predicting the protein-ligand affinity from molecular dynamics trajectories. - Wei Su:
An Entropy-based Measure of Intelligence Degree of System Structures. - Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob:
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. - Ashish Cherukuri, Alireza Zolanvari, Goran Banjac, Ashish R. Hota:
Data-driven distributionally robust optimization over a network via distributed semi-infinite programming. - Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell:
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. - Yousef Navidtehrani, Covadonga Betegón, Emilio Martínez-Pañeda:
A general framework for decomposing the phase field fracture driving force, particularised to a Drucker-Prager failure surface. - Dennis Gramlich, Christian Ebenbauer:
Fast identification and stabilization of unknown linear systems. - Matthew Dicks, Tim Gebbie:
A simple learning agent interacting with an agent-based market model. - Matthias Wieler:
Scale invariant process regression. - Iain Beaton, Ben Cameron:
A Tight Upper Bound on the Average Order of Dominating Sets of a Graph. - Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu:
Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. - Luca Carlone:
Estimation Contracts for Outlier-Robust Geometric Perception. - Thi Ngoc Nguyen, Felix Müsgens:
A Meta-Analysis of Solar Forecasting Based on Skill Score. - Nyumbu Chishwashwa, Vance Faber, Noah Streib:
Digraph Networks and Groupoids. - Alon Amar, Tirza Routtenberg:
Widely-Linear MMSE Estimation of Complex-Valued Graph Signals. - Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi:
Three-dimensional micro-structurally informed in silico myocardium - towards virtual imaging trials in cardiac diffusion weighted MRI. - Bright Antwi Boasiako, John Staudenmayer:
Naive Penalized Spline Estimators of Derivatives Achieve Optimal Rates of Convergence. - Jinkai Lv, Yuyong Hu, Quanshui Fu, Zhiwang Zhang, Yuqiang Hu, Lin Lv, Guoqing Yang, Jinpeng Li, Yi Zhao:
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image. - Xinbin Liang, Yaru Liu, Yang Yu, Kaixuan Liu, Yadong Liu, Zongtan Zhou:
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces. - Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu:
Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization. - Chethan Reddy G. P., Pullagurla Abhijith Reddy, Vidyashree R. Kanabur, Deepu Vijayasenan, David S. Sumam, Sreejith Govindan:
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset. - Chitralekha Gupta, Yize Wei, Zequn Gong, Purnima Kamath, Zhuoyao Li, Lonce Wyse:
Parameter Sensitivity of Deep-Feature based Evaluation Metrics for Audio Textures. - Jinkui Hao, Ting Shen, Xueli Zhu, Yonghuai Liu, Ardhendu Behera, Dan Zhang, Bang Chen, Jiang Liu, Jiong Zhang, Yitian Zhao:
Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning. - Bai Xue, Naijun Zhan, Martin Fränzle:
Reach-Avoid Analysis for Stochastic Differential Equations. - Nikhil V. S. Avula, Shivanand K. Veesam, Sudarshan Behera, Sundaram Balasubramanian:
Building Robust Machine Learning Models for Small Chemical Science Data: The Case of Shear Viscosity. - Fabian Isensee, Constantin Ulrich, Tassilo Wald, Klaus H. Maier-Hein:
Extending nnU-Net is all you need. - Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi, Osamu Abe:
Aging prediction using deep generative model toward the development of preventive medicine. - Md Sadman Sakib Rahman, Aydogan Ozcan:
Time-lapse image classification using a diffractive neural network. - Michele Garibbo, Casimir J. H. Ludwig, Nathan F. Lepora, Laurence Aitchison:
What deep reinforcement learning tells us about human motor learning and vice-versa. - Sandy Adhitia Ekahana, Genta Indra Winata, Y. Soh, Gabriel Aeppli, Radovic Milan, Ming Shi:
Transfer Learning Application of Self-supervised Learning in ARPES. - Zhenxuan Zhao, Jianshi Tang, Jian Yuan, Yijun Li, Yuan Dai, Jian Yao, Qingtian Zhang, Sanchuan Ding, Tingyu Li, Ruirui Zhang, Yu Zheng, Zhengyou Zhang, Song Qiu, Qingwen Li, Bin Gao, Ning Deng, He Qian, Fei Xing, Zheng You, Huaqiang Wu:
Large-Scale Integrated Flexible Tactile Sensor Array for Sensitive Smart Robotic Touch. - Qiyao Peng, Fred J. Vermolen, Daphne Weihs:
Physical Confinement and Cell Proximity Increase Cell Migration Rates and Invasiveness: A Mathematical Model of Cancer Cell Invasion through Flexible Channels. - Elena Sizikova, Xu Cao, Ashia Lewis, Kenny Moise, Megan Coffee:
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction. - (Withdrawn) Prediction of good reaction coordinates and future evolution of MD trajectories using Regularized Sparse Autoencoders: A novel deep learning approach.
- Lars Doorenbos, Olena Torbaniuk, Stefano Cavuoti, Maurizio Paolillo, Giuseppe Longo, Massimo Brescia, Raphael Sznitman, Pablo Márquez-Neila:
ULISSE: A Tool for One-shot Sky Exploration and its Application to Active Galactic Nuclei Detection. - Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert:
Unsupervised Anomaly Localization with Structural Feature-Autoencoders. - Deborah Hendrych, Hannah Troppens, Mathieu Besançon, Sebastian Pokutta:
Convex integer optimization with Frank-Wolfe methods. - Mark Goldsmith, Guillermo García-Pérez, Joonas Malmi, Matteo A. C. Rossi, Harto Saarinen, Sabrina Maniscalco:
Link prediction with continuous-time classical and quantum walks. - Mengxin Yu, Zhuoran Yang, Jianqing Fan:
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. - Supanut Thanasilp, Samson Wang, Marco Cerezo, Zoë Holmes:
Exponential concentration and untrainability in quantum kernel methods. - Hardik Tankaria, Nobuo Yamashita:
A Stochastic Variance Reduced Gradient using Barzilai-Borwein Techniques as Second Order Information. - Yiwen Zhu, Kaiyu Gan, Zhong Yin:
Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition. - Christian Porter, Edmund Dable-Heath, Cong Ling:
A New Bound for the Orthogonality Defect of HKZ Reduced Lattices. - Ziyi Liang, Matteo Sesia, Wenguang Sun:
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers. - Yorgos M. Psarellis, Michail E. Kavousanakis, Michael A. Henson, Ioannis G. Kevrekidis:
Limits of Entrainment of Circadian Neuronal Networks. - Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. - Vibhoothi, François Pitié, Angeliki Katsenou, Daniel Joseph Ringis, Yeping Su, Neil Birkbeck, Jessie Lin, Balu Adsumilli, Anil C. Kokaram:
Direct Optimisation of $\boldsymbolλ$ for HDR Content Adaptive Transcoding in AV1. - Victor Magron, Jie Wang:
Sparse Polynomial Optimization: Theory and Practice. - Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Lu Yang, Sheng Wang, Russ B. Altman:
POPDx: An Automated Framework for Patient Phenotyping across 392, 246 Individuals in the UK Biobank Study. - Andrew J. Christlieb, William A. Sands, Stephen White:
A Particle-in-cell Method for Plasmas with a Generalized Momentum Formulation. - Qian Qin, Guanyang Wang:
Spectral Telescope: Convergence Rate Bounds for Random-Scan Gibbs Samplers Based on a Hierarchical Structure. - Hanzhi Wang, Yosuke Hasegawa:
Multi-objective optimization of actuation waveform for high-precision drop-on-demand inkjet printing. - Steven Stetzler, Michael Grosskopf, Earl Lawrence:
Fast emulation of density functional theory simulations using approximate Gaussian processes. - Manuel Hahmann, Efren Fernandez-Grande:
A convolutional plane wave model for sound field reconstruction. - Jim de Groot:
Non-distributive positive logic as a fragment of first-order logic over semilattices. - Mattia Bianchi, Sergio Grammatico:
The END: Estimation Network Design for efficient distributed equilibrium seeking. - Samuel Palmer, Konstantinos Karagiannis, Adam Florence, Asier Rodriguez, Roman Orus, Harish Naik, Samuel Mugel:
Financial Index Tracking via Quantum Computing with Cardinality Constraints. - Theodore Papamarkou:
The premise of approximate MCMC in Bayesian deep learning. - Mattia Bianchi, Sergio Grammatico, Jorge Cortés:
Data-driven stabilization of switched and constrained linear systems. - Ashish Cherukuri:
Sample Average Approximation of Conditional Value-at-risk based Variational Inequalities. - Marco A. Martínez Ramírez, Wei-Hsiang Liao, Giorgio Fabbro, Stefan Uhlich, Chihiro Nagashima, Yuki Mitsufuji:
Automatic music mixing with deep learning and out-of-domain data. - Kyler Larsen, Arghya Pal, Yogesh Rathi:
A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces. - Carlos Vargas Venegas, Daning Huang:
Physics-Infused Reduced Order Modeling of Aerothermal Loads for Hypersonic Aerothermoelastic Analysis. - Alexander Straub, Sebastian Boblest, Grzegorz Karol Karch, Filip Sadlo, Thomas Ertl:
Droplet-Local Line Integration for Multiphase Flow. - Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry, Youngsoo Choi, Daniel A. White, Jonathan L. Belof:
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities. - Elisa Fevola, Tommaso Bradde, Piero Triverio, Stefano Grivet-Talocia:
A Vector Fitting approach for the automated estimation of lumped boundary conditions of 1D circulation models. - Laura Gwilliams, Graham Flick, Alec Marantz, Liina Pylkkänen, David Poeppel, Jean-Remi King:
MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing. - Amir Hossein Fahim Raouf:
Performance Analysis of Quantum Key Distribution in Underwater Channels. - Won Joon Yun, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Meta Reinforcement Learning. - Mohamad Mohamad, Julian Neubert, Juan Segundo Argayo:
FedOS: using open-set learning to stabilize training in federated learning. - Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan:
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting. - Haoli Yin, Nithin Buduma:
Prostate Lesion Detection and Salient Feature Assessment Using Zone-Based Classifiers. - Minhaj Nur Alam, Rikiya Yamashita, Vignav Ramesh, Tejas S. Prabhune, Jennifer I. Lim, R. V. P. Chan, Joelle A. Hallak, Theodore Leng, Daniel L. Rubin:
Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models. - Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz:
Cats: Complementary CNN and Transformer Encoders for Segmentation. - André E. Kézdy, Jeno Lehel:
An asymptotic resolution of a conjecture of Szemerédi and Petruska. - Elias August, Mauricio Barahona:
Finding positively invariant sets and proving exponential stability of limit cycles using Sum-of-Squares decompositions. - Wenyi Lian, Wenjing Lian:
Sliding Window Recurrent Network for Efficient Video Super-Resolution. - Ziwei Luo, Youwei Li, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Shuaicheng Liu:
Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution. - John Meluso, Laurent Hébert-Dufresne:
Indirect social learning through collective performance favors decentralization. - Richard J. Licata, Piyush M. Mehta, Daniel R. Weimer, W. Kent Tobiska, Jean Yoshii:
Calibrated and Enhanced NRLMSIS 2.0 Model with Uncertainty Quantification. - Anshu Dubey, Klaus Weide, Jared O'Neal, Akash Dhruv, Sean M. Couch, James Austin Harris, Tom Klosterman, Rajeev Jain, Johann Rudi, Bronson Messer, Michael Pajkos, Jared Carlson, Ran Chu, Mohamed Wahib, Saurabh Chawdhary, Paul M. Ricker, Dongwook Lee, Katie Antypas, Katherine M. Riley, Christopher S. Daley, Murali K. Ganapathy, Francis X. Timmes, Dean M. Townsley, Marcos Vanella, John Bachan, Paul Rich, Shravan Kumar, Eirik Endeve, W. Raphael Hix, Anthony Mezzacappa, Thomas Papatheodore:
Flash-X, a multiphysics simulation software instrument. - Arun Jambulapati, Yin Tat Lee, Santosh S. Vempala:
A Slightly Improved Bound for the KLS Constant. - Zahra Baghali Khanian, Kohdai Kuroiwa, Debbie W. Leung:
Rate-Distortion Theory for Mixed States. - Louise Coppieters de Gibson, Philip N. Garner:
Low-Level Physiological Implications of End-to-End Learning of Speech Recognition. - Sandra Carrasco Limeros, Sylwia Majchrowska, Mohamad Khir Zoubi, Anna Rosén, Juulia Suvilehto, Lisa Sjöblom, Magnus Kjellberg:
GAN-based generative modelling for dermatological applications - comparative study. - Sarah Schneider, Lukas Burgholzer, Robert Wille:
A SAT Encoding for Optimal Clifford Circuit Synthesis. - Harbir Antil, Hugo Díaz, Tian Jing, Armin Schikorra:
Nonlocal Bounded Variations with Applications. - Suat Gumussoy:
SSD - Software for Systems with Delays: Reproducible Examples and Benchmarks on Model Reduction and H2 Norm Computation. - Avval Amil, Shashank Gupta:
A universal whitening algorithm for commercial random number generators. - Pouria Paymard, Abolfazl Amiri, Troels E. Kolding, Klaus I. Pedersen:
Enhanced Link Adaptation for Extended Reality Code Block Group based HARQ Transmission. - Loïc Strafella, Damien Chapon:
LightAMR format standard and lossless compression algorithms for adaptive mesh refinement grids: RAMSES use case. - Teodora Popordanoska, Aleksei Tiulpin, Wacha Bounliphone, Matthew B. Blaschko:
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices. - Mehrad Sarmashghi, Shantanu P. Jadhav, Uri T. Eden:
Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations. - Corey J. Maley:
How (and Why) to Think that the Brain is Literally a Computer. - Satoshi Kondo, Satoshi Kasai:
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model. - Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Manolis Zampetakis:
Efficient Truncated Linear Regression with Unknown Noise Variance. - Guillaume Olikier, Pierre-Antoine Absil:
An apocalypse-free first-order low-rank optimization algorithm with at most one rank reduction attempt per iteration. - Niklas Frederik Schmitz, Klaus-Robert Müller, Stefan Chmiela:
Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields. - Michel Boyer, Rotem Liss, Tal Mor:
Composable Security of Generalized BB84 Protocols Against General Attacks. - Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Silvia Schievano, Vivek Muthurangu:
Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. - Toby St Clere Smithe:
Compositional Active Inference II: Polynomial Dynamics. Approximate Inference Doctrines. - Kui Zhu, Yichen Zhang, Yutao Tang:
Distributed Optimization with Inexact Oracle. - Sahil Manchanda, Sayan Ranu:
Lifelong Learning for Neural powered Mixed Integer Programming. - Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, Guang Yang:
Skin Lesion Analysis: A State-of-the-Art Survey, Systematic Review, and Future Trends. - Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices. - Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, Jean-Rémi King:
Decoding speech from non-invasive brain recordings. - Otfried Cheong, Maximilian Pfister, Lena Schlipf:
The thickness of fan-planar graphs is at most three. - Kyle Booker, Richard C. Brewster:
Edge-coloured graph homomorphisms, paths, and duality. - Robert G. Aykroyd, Kehinde Olobatuyi:
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion. - (Withdrawn) Variance Reduction based Experience Replay for Policy Optimization.
- Laurent Chauvin:
Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes. - Nils Bruin, Linden Disney-Hogg, Wuqian Effie Gao:
Rigorous numerical integration of algebraic functions. - Tomoyuki Morimae, Takashi Yamakawa:
Proofs of Quantumness from Trapdoor Permutations. - Qingqing Huang, Aren Jansen, Joonseok Lee, Ravi Ganti, Judith Yue Li, Daniel P. W. Ellis:
MuLan: A Joint Embedding of Music Audio and Natural Language. - Yuan Mao, Lei Shi, Zheng-Chu Guo:
Coefficient-based Regularized Distribution Regression. - Evan T. R. Rosenman, Santiago Olivella, Kosuke Imai:
Race and ethnicity data for first, middle, and last names. - Esha Sadia Nasir, Arshi Perviaz, Muhammad Moazam Fraz:
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review. - Marc Goerigk, Michael Hartisch:
A Framework for Inherently Interpretable Optimization Models. - Vasily Sazonov:
Large-N dynamics of the spiked tensor model with random initial conditions. - Jan Hermann, James S. Spencer, Kenny Choo, Antonio Mezzacapo, W. Matthew C. Foulkes, David Pfau, Giuseppe Carleo, Frank Noé:
Ab-initio quantum chemistry with neural-network wavefunctions. - Danial Saef, Yuanrong Wang, Tomaso Aste:
Regime-based Implied Stochastic Volatility Model for Crypto Option Pricing. - Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa:
A Two Step Approach for Whole Slide Image Registration. - Richard Evans:
Confusion Matrices and Accuracy Statistics for Binary Classifiers Using Unlabeled Data: The Diagnostic Test Approach. - Srimanta Mitra, Aquil Ahmad, Sajib Biswas, Amal Kumar Das:
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families. - Paterne Gahungu, Jean Remy Kubwimana, Lionel Jean Marie Benjamin Muhimpundu, Egide Ndamuzi:
Modelling spatio-temporal trends of air pollution in Africa. - Elena Berardini, Alain Couvreur, Grégoire Lecerf:
A proof of the Brill-Noether method from scratch. - Kang-Da Wu, Chengran Yang, Ren-Dong He, Mile Gu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Thomas J. Elliott:
Implementing quantum dimensionality reduction for non-Markovian stochastic simulation. - Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer:
Causal Bandits for Linear Structural Equation Models. - Xingyuan Chen, Gonçalo Dos Reis:
Euler simulation of interacting particle systems and McKean-Vlasov SDEs with fully superlinear growth drifts in space and interaction. - Weiqi Chu, Mason A. Porter:
Non-Markovian models of opinion dynamics on temporal networks. - Sergey Pupyrev:
Queue Layouts of Two-Dimensional Posets. - Vladimir Gurvich, Matjaz Krnc, Martin Milanic, Mikhail N. Vyalyi:
Avoidability beyond paths. - Duy Hoang Thai, Xiqi Fei, Minh Tri Le, Andreas Züfle, Konrad Wessels:
Riesz-Quincunx-UNet Variational Auto-Encoder for Satellite Image Denoising. - Xinxing Wu, Chong Peng, Gregory Jicha, Donna Wilcock, Qiang Cheng:
PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions. - Nelly Elsayed, Zag ElSayed, Navid Asadizanjani, Murat Ozer, Ahmed Abdelgawad, Magdy A. Bayoumi:
Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring. - Tom Peham, Lukas Burgholzer, Robert Wille:
Equivalence Checking of Quantum Circuits with the ZX-Calculus. - Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib:
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks. - Teemu Härkönen, Sara Wade, Kody J. H. Law, Lassi Roininen:
Mixtures of Gaussian Process Experts with SMC2. - Michael S. Yao, Michael S. Hansen:
A Path Towards Clinical Adaptation of Accelerated MRI. - Joseph Boyd, Irène Villa, Marie-Christine Mathieu, Eric Deutsch, Nikos Paragios, Maria Vakalopoulou, Stergios Christodoulidis:
Region-guided CycleGANs for Stain Transfer in Whole Slide Images. - Jose Miguel Sanchez Bornot, Roberto C. Sotero, J. A. Scott Kelso, Damien Coyle:
Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models. - Pedro J. Freire, Antonio Napoli, Diego Argüello Ron, Bernhard Spinnler, Michael Anderson, Wolfgang Schairer, Thomas Bex, Nelson Costa, Sergei K. Turitsyn, Jaroslaw E. Prilepsky:
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation. - Lei Li, Wangbin Ding, Liqun Huang, Xiahai Zhuang, Vicente Grau:
Multi-Modality Cardiac Image Computing: A Survey. - Sudhir Kumar Chaudhary, Pankaj Wahi, Prabhat Munshi:
Uniformly Sampled Polar and Cylindrical Grid Approach for 2D, 3D Image Reconstruction using Algebraic Algorithm. - Song Chen, Tehuan Chen, Chao Xu, Jian Chu:
Neural Observer with Lyapunov Stability Guarantee for Uncertain Nonlinear Systems. - Zhihao Duan, Ming Lu, Zhan Ma, Fengqing Zhu:
Lossy Image Compression with Quantized Hierarchical VAEs. - Xianbang Chen, Yikui Liu, Lei Wu:
Improving Electricity Market Economy via Closed-Loop Predict-and-Optimize. - Xuan Kien Phung:
On linear non-uniform cellular automata: duality and dynamics. - Dongmei Wang, Xiong Xiao, Naoyuki Kanda, Takuya Yoshioka, Jian Wu:
Target Speaker Voice Activity Detection with Transformers and Its Integration with End-to-End Neural Diarization. - Lucas Fuentes Valenzuela, Lindell Williams, Michael Chertkov:
Statistical Mechanics of Thermostatically Controlled Multi-Zone Buildings. - Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. - Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai:
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. - Chengyuan Li, Meifu Li, Zhifang Qiu:
An Unsupervised Learning-based Framework for Effective Representation Extraction of Reactor Accidents. - Xuan Lin, Gabriel I. Fernandez, Dennis W. Hong:
Benchmark Results for Bookshelf Organization Problem as Mixed Integer Nonlinear Program with Mode Switch and Collision Avoidance. - Yizhi Wang, Yingwen Liu, Junwei Zhan, Shichuan Xue, Yuzhen Zheng, Ru Zeng, Zhihao Wu, Zihao Wang, Qilin Zheng, Dongyang Wang, Weixu Shi, Xiang Fu, Ping Xu, Yang Wang, Yong Liu, Jiangfang Ding, Guangyao Huang, Chunlin Yu, Anqi Huang, Xiaogang Qiang, Mingtang Deng, Weixia Xu, Kai Lu, Xuejun Yang, Junjie Wu:
Large-scale full-programmable quantum walk and its applications. - Chengshuo Shen, Wei Zheng, Yonghua Ding, Xinkun Ai, Fengming Xue, Yu Zhong, Nengchao Wang, Li Gao, Zhipeng Chen, Zhoujun Yang, Zhongyong Chen, Yuan Pan, J.-TEXT team:
IDP-PGFE: An Interpretable Disruption Predictor based on Physics-Guided Feature Extraction. - Jitender Singh:
Shooting method for solving two-point boundary value problems in ODEs numerically. - Thomas Weissmann, Yixing Huang, Stefan Fischer, Johannes Roesch, Sina Mansoorian, Horacio Ayala Gaona, Antoniu-Oreste Gostian, Markus Hecht, Sebastian Lettmaier, Lisa Deloch, Benjamin Frey, Udo S. Gaipl, Luitpold V. Distel, Andreas K. Maier, Heinrich Iro, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz:
Deep Learning for automatic head and neck lymph node level delineation. - Sergio Altares-López, Juan José García-Ripoll, Angela Ribeiro:
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images. - Gopinath Balaji, Ranit Sen, Harsh Kirty:
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks. - Khaled Humady, Yasmeen Al-Saeed, Nabila Eladawi, Ahmed Elgarayhi, Mohammed Elmogy, Mohammed Sallah:
Efficient liver segmentation with 3D CNN using computed tomography scans. - Ameneh Sheikhjafari, Deepa Krishnaswamy, Michelle Noga, Nilanjan Ray, Kumaradevan Punithakumar:
Unsupervised diffeomorphic cardiac image registration using parameterization of the deformation field. - Abhishake Rastogi:
Statistical Inverse Problems in Hilbert Scales. - Randolf Altmeyer:
Polynomial time guarantees for sampling based posterior inference in high-dimensional generalised linear models. - Borut Luzar, Martina Mockovciaková, Roman Soták:
Revisiting Semistrong Edge-Coloring of Graphs. - Santhosh Karnik, Rongrong Wang, Mark A. Iwen:
Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems. - Yi-Lin Tsai, Dymasius Y. Sitepu, Karyn E. Chappell, Rishi P. Mediratta, C. Jason Wang, Peter K. Kitanidis, Christopher B. Field:
Effective approaches to disaster evacuation during a COVID-like pandemic. - Shishuai Hu, Zehui Liao, Yong Xia:
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis. - Shishuai Hu, Yiwen Ye, Zehui Liao, Yong Xia:
Boundary-Aware Network for Kidney Parsing. - Zihang Dong, David Angeli, Goran Strbac:
Convergent Economic Model Predictive Control through parameter-varying storage functions for dissipativity. - Lingfu Zhang:
Cutoff profile of the Metropolis biased card shuffling. - Bastien Chaudet-Dumas:
Shape optimization for contact problems in linear elasticity. - Krzysztof Domino, Jaroslaw Adam Miszczak:
Will you infect me with your opinion? - Bastien Chaudet-Dumas:
A shape optimization algorithm based on directional derivatives for three-dimensional contact problems. - Xiaorang Guo, Mohammad Ali Shaeri, Mahsa Shoaran:
An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces. - Stacey Jeffery, Sebastian Zur:
Multidimensional Quantum Walks, with Application to k-Distinctness. - Om Mane, Saravanakumar Kandasamy:
Stock Market Prediction using Natural Language Processing - A Survey. - Aleksandr Beznosikov, Boris T. Polyak, Eduard Gorbunov, Dmitry Kovalev, Alexander V. Gasnikov:
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems - Survey. - Anna V. Bubnova:
Approach of variable clustering and compression for learning large Bayesian networks. - Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe:
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. - Lei Wang, Xin Liu:
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints. - Måns I. Andersson, Natarajan Arul Murugan, Artur Podobas, Stefano Markidis:
Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software. - Carlos Nácher Collado:
Comprehensive study of good model training for prostate segmentation in volumetric MRI. - Huiqiao Xie, Yang Lei, Yabo Fu, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Deformable Image Registration using Unsupervised Deep Learning for CBCT-guided Abdominal Radiotherapy. - Priyangshu Sen, Jacob Hall, Michele Polese, Vitaly Petrov, Duschia Bodet, Francesco Restuccia, Tommaso Melodia, Josep Miquel Jornet:
Terahertz Communications Can Work in Rain and Snow: Impact of Adverse Weather Conditions on Channels at 140 GHz. - Michael I. Jordan, Yixin Wang, Angela Zhou:
Empirical Gateaux Derivatives for Causal Inference. - Serafim Batzoglou:
Independence of the Continuum Hypothesis: an Intuitive Introduction. - Jonathan Schmidt, Haichen Wang, Georg Schmidt, Miguel Marques:
Machine Learning guided high-throughput search of non-oxide garnets. - Michel Boyer, Gilles Brassard, Nicolas Godbout, Rotem Liss, Stéphane Virally:
Simple and Rigorous Proof Method for Practical Security of Quantum Key Distribution in the Single-Qubit Regime Using Mismatched Basis Measurements. - Luke Evans, Maria K. Cameron, Pratyush Tiwary:
Computing committors via Mahalanobis diffusion maps with enhanced sampling data. - Mara Graziani, Niccolò Marini, Nicolas Deutschmann, Nikita Janakarajan, Henning Müller, María Rodríguez Martínez:
Attention-based Interpretable Regression of Gene Expression in Histology. - Gemma Zhang, Siddharth Mishra-Sharma, Cora Dvorkin:
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation. - Daniel Andrés Díaz-Pachón, Ola Hössjer:
Assessing, testing and estimating the amount of fine-tuning by means of active information. - Shahen Alexanian, Alexey Kuznetsov:
On the Barnes double gamma function. - Bo Li, Tara N. Sainath, Ruoming Pang, Shuo-Yiin Chang, Qiumin Xu, Trevor Strohman, Vince Chen, Qiao Liang, Heguang Liu, Yanzhang He, Parisa Haghani, Sameer Bidichandani:
A Language Agnostic Multilingual Streaming On-Device ASR System. - Sara Atito, Syed Muhammad Anwar, Muhammad Awais, Josef Kittler:
SB-SSL: Slice-Based Self-Supervised Transformers for Knee Abnormality Classification from MRI. - Zizhao Chen, Hongliang Wang, Chia-Hui Yeh, Xilin Liu:
Classify Respiratory Abnormality in Lung Sounds Using STFT and a Fine-Tuned ResNet18 Network. - Hsiang-Chin Chien, Ching-Ping Wang, Jung-Chih Chen, Chia-Yen Lee:
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior. - Ran Wang, Jinming Liu, Heming Sun, Jiro Katto:
Learned Lossless Image Compression With Combined Autoregressive Models And Attention Modules. - Yi Luo, Yijie Zhang, Tairan Liu, Alan Yu, Yichen Wu, Aydogan Ozcan:
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning. - Masoud Mokhtari, Teresa Tsang, Purang Abolmaesumi, Renjie Liao:
EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks. - Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou:
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising. - Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao:
Symmetric Pruning in Quantum Neural Networks. - Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob:
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis. - Xin Li, Jian Li, Zhihong Jeff Xia:
Leap-frog neural network for learning the symplectic evolution from partitioned data. - Francesco Conte, Gabriele Mosaico, Gianluca Natrella, Matteo Saviozzi, Fiammetta Rita Bianchi:
Optimal Management of Renewable Generation and Uncertain Demand with Reverse Fuel Cells by Stochastic Model Predictive Control. - Riki Kimura, Shunsuke Tanaka, Naoki Wakui, Naoki Kodama, Shohei Yano:
A Study on the relationship between the geometrical shapes and the biometrical acoustic characteristics of human ear canal. - Robert L. Kosut, Gaurav Bhole, Herschel Rabitz:
Robust Quantum Control: Analysis & Synthesis via Averaging. - Nilanjan Chattopadhyay, Shiv Gehlot, Nitin Singhal:
FUSION: Fully Unsupervised Test-Time Stain Adaptation via Fused Normalization Statistics. - Tasos Rossides, David J. B. Lloyd, Sergey Zelik, Matthew R. Turner:
The dynamics of interacting multi-pulses in the one-dimensional quintic complex Ginzburg-Landau equation. - Md. Ershadul Haque, Manoranjan Paul, Anwaar Ulhaq, Tanmoy Debnath:
Advance quantum image representation and compression using DCTEFRQI approach. - Jonathan Berrisch, Sven Pappert, Florian Ziel, Antonia Arsova:
Modeling Volatility and Dependence of European Carbon and Energy Prices. - Dongdong Ge, Qi Huangfu, Zizhuo Wang, Jian Wu, Yinyu Ye:
Cardinal Optimizer (COPT) User Guide. - Chengyuan Li, Zhifang Qiu, Zhangrui Yan, Meifu Li:
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder. - Cinzia Bisi, Jonathan D. Hauenstein, Tuyen Trung Truong:
Some interesting birational morphisms of smooth affine quadric 3-folds. - J. C. del Valle:
Solving the One-Dimensional Time-Independent Schrödinger Equation with High Accuracy: The LagrangeMesh Mathematica Package. - Érick Oliveira Rodrigues, Felipe Fernandes Cordeiro de Morais, Aura Conci:
On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms. - Matthew Dobson, Abdel Kader Geraldo:
Convergence of Nonequilibrium Langevin Dynamics for Planar Flows. - Mostafa Mehdipour-Ghazi, Mads Nielsen:
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. - Bing Zhu:
Dead-beat model predictive control for discrete-time linear systems. - Érick Oliveira Rodrigues, Lucas O. Rodrigues, L. S. N. Oliveira, Aura Conci, Panos Liatsis:
Automated recognition of the pericardium contour on processed CT images using genetic algorithms. - Zheng Cao, Wenyu Du, Kirill V. Golubnichiy:
Application of Convolutional Neural Networks with Quasi-Reversibility Method Results for Option Forecasting. - Hendrik Schawe, Mariano Gastón Beiró, J. Ignacio Alvarez-Hamelin, Dimitris Kotzinos, Laura Hernández:
Who talks about what? Comparing the information treatment in traditional media with online discussions. - Alex Infanger, Peter W. Glynn:
A New Truncation Algorithm for Markov Chain Equilibrium Distributions with Computable Error Bounds. - Érick Oliveira Rodrigues, Aura Conci, Tiago B. Borchartt, Anselmo Cardoso de Paiva, Aristófanes C. Silva, Trueman MacHenry:
Comparing Results of Thermographic Images Based Diagnosis for Breast Diseases. - Samuel Braunfeld, Jaroslav Nesetril, Patrice Ossona de Mendez, Sebastian Siebertz:
On the first-order transduction quasiorder of hereditary classes of graphs. - Gilad Gour, Mark M. Wilde, Sarah Brandsen, Isabelle Jianing Geng:
Inevitability of knowing less than nothing. - Zahra Riahi Samani, Drew Parker, Hamed Akbari, Spyridon Bakas, Ronald L. Wolf, Steven Brem, Ragini Verma:
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment. - Zhaoguang Yi, Zhou Chen, Yunjie Yang:
A Learning-Based 3D EIT Image Reconstruction Method. - Nithin Babu, Petar Popovski, Constantinos B. Papadias:
Cost-Efficient Deployment of a Reliable Multi-UAV Unmanned Aerial System. - Marco Fasondini, John R. King, J. A. C. Weideman:
Blow up in a periodic semilinear heat equation. - Jueqi Wang, Derek Berger, Erin L. Mazerolle, Jean-Alexis Delamer, Jacob Levman:
Lesion-Specific Prediction with Discriminator-Based Supervised Guided Attention Module Enabled GANs in Multiple Sclerosis. - Ery Arias-Castro, Wanli Qiao:
Embedding Functional Data: Multidimensional Scaling and Manifold Learning. - Vikram Krishnamurthy:
Adaptive Filtering Algorithms for Set-Valued Observations - Symmetric Measurement Approach to Unlabeled and Anonymized Data. - Laurent Manivel, Bernd Sturmfels, Svala Sverrisdóttir:
Four-Dimensional Lie Algebras Revisited. - Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg:
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks. - Mustafa Ayazoglu, Bahri Batuhan Bilecen:
XCAT - Lightweight Quantized Single Image Super-Resolution using Heterogeneous Group Convolutions and Cross Concatenation. - Juhyeon Kim, Joonsuk Huh, Daniel K. Park:
Classical-to-quantum convolutional neural network transfer learning. - Gaëtan Dissez, Nicole Tay, Tom Dyer, Matthew Tam, Richard Dittrich, David Doyne, James Hoare, Jackson J. Pat, Stephanie Patterson, Amanda Stockham, Qaiser Malik, Tom Naunton Morgan, Paul Williams, Liliana Garcia-Mondragon, Jordan Smith, George Pearse, Simon Rasalingham:
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study. - Amal Roy, Chandramani Singh, Y. Narahari:
Recent Advances in Modeling and Control of Epidemics using a Mean Field Approach. - Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb:
Accelerating Deep Unrolling Networks via Dimensionality Reduction. - Sergey Kastryulin, Jamil Zakirov, Denis Prokopenko, Dmitry V. Dylov:
PyTorch Image Quality: Metrics for Image Quality Assessment. - Zhaohu Xing, Lequan Yu, Liang Wan, Tong Han, Lei Zhu:
NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation. - Viktor Harangi, Xueyan Niu, Bo Bai:
Generalizing Körner's graph entropy to graphons. - James Kahn, Ilias Tsaklidis, Oskar Taubert, Lea Reuter, Giulio Dujany, Tobias Boeckh, Arthur Thaller, Pablo Goldenzweig, Florian U. Bernlochner, Achim Streit, Markus Götz:
Learning Tree Structures from Leaves For Particle Decay Reconstruction. - Iskander Azangulov, Andrei Smolensky, Alexander Terenin, Viacheslav Borovitskiy:
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the Compact Case. - Peter Y. Lu, Rumen Dangovski, Marin Soljacic:
Discovering Conservation Laws using Optimal Transport and Manifold Learning. - Norichika Ogata, Aoi Hosaka:
Cellular liberality is measurable as Lempel-Ziv complexity of fastq files. - Duo Song, Nicholas P. Bauman, Guen Prawiroatmodjo, Bo Peng, Cassandra Granade, Kevin M. Rosso, Guang Hao Low, Martin Roetteler, Karol Kowalski, Eric J. Bylaska:
Periodic Plane-Wave Electronic Structure Calculations on Quantum Computers. - Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy:
Statistical exploration of the Manifold Hypothesis.
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