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ORCIDCoRR, August 2023
- Pavel Naumov, Anna Ovchinnikova:
De Re and De Dicto Knowledge in Egocentric Setting. - Georg Wenzel
, Adam Jatowt:
An Overview Of Temporal Commonsense Reasoning and Acquisition. - Kopo M. Ramokapane, Lizzie Coles-Kemp, Nikhil Patnaik, Rui Huan, Nirav Ajmeri, Genevieve Liveley, Awais Rashid:
Towards Equitable Privacy. - Sanjay Chakraborty, Saroj Kumar Pandey, Saikat Maity, Lopamudra Dey:
Detection and Classification of Novel Attacks and Anomaly in IoT Network using Rule based Deep Learning Model. - Sankalpa Rijal, Rajan Neupane, Saroj Prasad Mainali, Shishir Kumar Regmi, Shanta Maharjan:
Monaural Multi-Speaker Speech Separation Using Efficient Transformer Model. - Haoyang Yu, Yutong Sun, Yulin Liu, Luyao Zhang:
Bitcoin Gold, Litecoin Silver: An Introduction to Cryptocurrency's Valuation and Trading Strategy. - Gabriela Barenboim, Luigi Del Debbio, Johannes Hirn, Verónica Sanz:
Exploring how a Generative AI interprets music. - Giorgio Franceschelli, Mirco Musolesi:
Reinforcement Learning for Generative AI: State of the Art, Opportunities and Open Research Challenges. - Alessandro Pinto:
Analysis and Design of Uncertain Cyber-Physical Systems. - Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See:
Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. - Jacob-Junqi Tian, Omkar Dige, David Emerson, Faiza Khan Khattak:
Interpretable Stereotype Identification through Reasoning. - Daniel Kazenwadel, Christoph V. Steinert:
How User Language Affects Conflict Fatality Estimates in ChatGPT. - Prabin Bhandari, Hannah Marie Brennan:
Trustworthiness of Children Stories Generated by Large Language Models. - Khushnaseeb Roshan, Aasim Zafar:
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model. - Panchamy Krishnakumari, Sascha Hoogendoorn-Lanser, Jeroen Steenbakkers, Serge P. Hoogendoorn:
Crowd Safety Manager: Towards Data-Driven Active Decision Support for Planning and Control of Crowd Events. - Khushnaseeb Roshan, Aasim Zafar, Sheikh Burhan Ul Haque:
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks. - Jamie Lee, Zhaoyuan Su, Yunan Chen:
Mobile Apps for Children's Health and Wellbeing: Design Features and Future Opportunities. - Mehwish Alam, Frank van Harmelen, Maribel Acosta:
Towards Semantically Enriched Embeddings for Knowledge Graph Completion. - Yahui Fu, Koji Inoue, Chenhui Chu, Tatsuya Kawahara:
Reasoning before Responding: Integrating Commonsense-based Causality Explanation for Empathetic Response Generation. - Andrés Mateo-Gabín, Kenza Tlales, Eusebio Valero, Esteban Ferrer, Gonzalo Rubio:
Unsupervised machine-learning shock-capturing technique for high-order solvers. - Yuqian Cheng, Daniel M. Kane, Zhicheng Zheng:
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions. - Jiuhong Xiao, Gao Zhu, Giuseppe Loianno:
Visual Geo-localization with Self-supervised Representation Learning. - Nikhil Mishra, Pieter Abbeel, Xi Chen, Maximilian Sieb:
Convolutional Occupancy Models for Dense Packing of Complex, Novel Objects. - Su Been Lee, WonJun Moon, Hyun Seok Seong, Jae-Pil Heo:
Task-Oriented Channel Attention for Fine-Grained Few-Shot Classification. - Viktor Rakhmatulin, Denis Grankin, Mikhail Konenkov, Sergei Davidenko, Daria Trinitatova, Oleg Sautenkov, Dzmitry Tsetserukou:
AirTouch: Towards Safe Human-Robot Interaction Using Air Pressure Feedback and IR Mocap System. - Julie A. Adams, Joshua Hamell, Phillip M. Walker:
Can A Single Human Supervise A Swarm of 100 Heterogeneous Robots? - Paolo D'Alberto, Abhishek Kumar Jain, Ismail Bustany, Henri Fraisse, Mansimran Benipal:
Entropy Maximization in Sparse Matrix by Vector Multiplication (maxESpMV). - Basil Kaufmann, Dallin Busby, Chandan Krushna Das, Neeraja Tillu, Mani Menon, Ashutosh K. Tewari, Michael A. Gorin:
Validation of a Zero-Shot Learning Natural Language Processing Tool for Data Abstraction from Unstructured Healthcare Data. - Weixin Wu, Hankz Hankui Zhuo:
DPBERT: Efficient Inference for BERT based on Dynamic Planning. - Gary Marcus, Evelina Leivada, Elliot Murphy:
A Sentence is Worth a Thousand Pictures: Can Large Language Models Understand Human Language? - Pierre Fernandez, Antoine Chaffin, Karim Tit, Vivien Chappelier, Teddy Furon:
Three Bricks to Consolidate Watermarks for Large Language Models. - Rushrukh Rayan, Cogan Shimizu, Heidi Sieverding, Pascal Hitzler:
A Modular Ontology for MODS - Metadata Object Description Schema. - Stewart N. Ethier, Jiyeon Lee:
A game-theoretic analysis of baccara chemin de fer, II. - Kunal Sanjay Narkhede, Dhruv Ashwinkumar Thanki, Abhijeet Mangesh Kulkarni, Ioannis Poulakakis:
Overtaking Moving Obstacles with Digit: Path Following for Bipedal Robots via Model Predictive Contouring Control. - Andreas Happe, Jürgen Cito:
Getting pwn'd by AI: Penetration Testing with Large Language Models. - Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu:
DAVIS: High-Quality Audio-Visual Separation with Generative Diffusion Models. - Chak Shing Lee, François P. Hamon, Nicola Castelletto, Panayot S. Vassilevski, Joshua A. White:
Multilevel well modeling in aggregation-based nonlinear multigrid for multiphase flow in porous media. - Yassine Ghannane, Mohamed S. Abdelfattah:
DiviML: A Module-based Heuristic for Mapping Neural Networks onto Heterogeneous Platforms. - Dzenan Lapandic, Christos K. Verginis, Dimos V. Dimarogonas, Bo Wahlberg:
Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles. - Martin Hirzel, Michael Feffer:
A Suite of Fairness Datasets for Tabular Classification. - Qingyuan Jiang, Volkan Isler:
Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor. - Anant Khandelwal:
InFusion: Inject and Attention Fusion for Multi Concept Zero-Shot Text-based Video Editing. - Hemn Barzan Abdalla, Awder M. Ahmed, Bahtiyar Mehmed, Mehdi Gheisari, Maryam Cheraghy:
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM. - Chester Holtz, Pengwen Chen, Alexander Cloninger, Chung-Kuan Cheng, Gal Mishne:
Semi-Supervised Laplacian Learning on Stiefel Manifolds. - Shahaf Bassan, Guy Amir, Davide Corsi, Idan Refaeli, Guy Katz:
Formally Explaining Neural Networks within Reactive Systems. - Sanjay Lall, Calin Cascaval, Martin Izzard, Tammo Spalink:
Logical Synchrony and the bittide Mechanism. - Sandra Gilhuber, Julian Busch, Daniel Rotthues, Christian M. M. Frey, Thomas Seidl:
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification. - Liran Wang, Xunzhu Tang, Yichen He, Changyu Ren, Shuhua Shi, Chaoran Yan, Zhoujun Li:
Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models. - Martin Büßemeyer, Max Reimann, Benito Buchheim, Amir Semmo, Jürgen Döllner, Matthias Trapp:
Controlling Geometric Abstraction and Texture for Artistic Images. - Mohammad Panahazari, Matthew Koscak, Jianhua Zhang, Daqing Hou, Jing Wang, David Wenzhong Gao:
A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control. - Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst:
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. - Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Federated Learning for Data and Model Heterogeneity in Medical Imaging. - Abdurrahman Elmaghbub, Bechir Hamdaoui:
On the Impact of the Hardware Warm-Up Time on Deep Learning-Based RF Fingerprinting. - François Remy, Simone Scaboro, Beatrice Portelli:
Boosting Adverse Drug Event Normalization on Social Media: General-Purpose Model Initialization and Biomedical Semantic Text Similarity Benefit Zero-Shot Linking in Informal Contexts. - Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic:
Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data? - Nuno Cunha, Tiago Barros, Mário Reis, Tiago Marta, Cristiano Premebida, Urbano J. Nunes:
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches. - Seyed Samie Alizadeh Darbandi, Alex Fornito, Abdorasoul Ghasemi:
The impact of input node placement in the controllability of brain networks. - Rohit Raj, V. Susheela Devi:
Adversarially Robust Neural Legal Judgement Systems. - Xin Zhang, Yuqi Song, Fei Zuo, Xiaofeng Wang:
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels. - Bohan Zhang, Yashaswini Shivalingaiah, Ankit Agrawal:
DroneReqValidator: Facilitating High Fidelity Simulation Testing for Uncrewed Aerial Systems Developers. - Artur Jez, Anthony W. Lin, Oliver Markgraf, Philipp Rümmer:
Decision Procedures for Sequence Theories (Technical Report). - Kincaid MacDonald, Dhananjay Bhaskar, Guy Thampakkul, Nhi Nguyen, Joia Zhang, Michael Perlmutter, Ian Adelstein, Smita Krishnaswamy:
A Flow Artist for High-Dimensional Cellular Data. - Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi:
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity. - Ruochu Yang, Chad Lembke, Fumin Zhang, Catherine R. Edwards:
General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Dataset. - Aniket Dhole, Bibek Gupta, Adarsh Salagame, Xuejian Niu, Yizhe Xu, Kaushik Venkatesh Krishnamurthy, Paul Ghanem, Ioannis Mandralis, Eric Sihite, Alireza Ramezani:
Hovering Control of Flapping Wings in Tandem with Multi-Rotors. - Leopoldo E. Bertossi:
Attribution-Scores in Data Management and Explainable Machine Learning. - Farhad Nawaz, Tianyu Li, Nikolai Matni, Nadia Figueroa:
Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations. - Chiyu Zhang, Ji Han, Yao Zou, Kexin Dong, Yujia Li, Junchun Ding, Xiaoling Han:
Detecting the Anomalies in LiDAR Pointcloud. - Ari Holtzman, Peter West, Luke Zettlemoyer:
Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? - Sanad Aburass, Osama M. Dorgham:
Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique. - Vincent Moreau, Lê Thành Dung Nguyên:
Syntactically and semantically regular languages of lambda-terms coincide through logical relations. - Ali Ayub, Alan R. Wagner:
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics. - Andy Vidan, Lars H. Fiedler:
A Composable Just-In-Time Programming Framework with LLMs and FBP. - Yuelin Xin, Zihan Zhou, Yuxuan Xia:
Scene Separation & Data Selection: Temporal Segmentation Algorithm for Real-Time Video Stream Analysis. - Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N. Abdalla, Michael C. Hurley, Ali Shaibani, Matthew B. Potts, Babak S. Jahromi, Leon Cho, Sameer A. Ansari, Donald R. Cantrell:
Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF). - Aida Damanpak Rizi, Antika Roy, Rouhan Noor, Hyo Kang, Nitin Varshney, Katja Jacob, Sindia Rivera-Jimenez, Nathan Edwards, Volker J. Sorger, Hamed Dalir, Navid Asadizanjani:
From Talent Shortage to Workforce Excellence in the CHIPS Act Era: Harnessing Industry 4.0 Paradigms for a Sustainable Future in Domestic Chip Production. - Yubao Zhang, Xin Chen, Yi Gu, Zhicheng Li, Wu Kai:
Deep Reinforcement Learning-Based Battery Conditioning Hierarchical V2G Coordination for Multi-Stakeholder Benefits. - Haru Kondoh, Asako Kanezaki:
Multi-goal Audio-visual Navigation using Sound Direction Map. - KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak:
Advancing Beyond Identification: Multi-bit Watermark for Language Models. - Liwenhan Xie, Zhaoyu Zhou, Kerun Yu, Yun Wang, Huamin Qu, Siming Chen:
Wakey-Wakey: Animate Text by Mimicking Characters in a GIF. - Itay Itzhak, Gabriel Stanovsky, Nir Rosenfeld, Yonatan Belinkov:
Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias. - Jaechang Ko, John Ajibefun, Wei Yan:
Experiments on Generative AI-Powered Parametric Modeling and BIM for Architectural Design. - Zhifeng Wang, Ramesh S. Sankaranarayana:
Using Scene and Semantic Features for Multi-modal Emotion Recognition. - Alberto D. Rodriguez, Katherine R. Dearstyne, Jane Cleland-Huang:
Prompts Matter: Insights and Strategies for Prompt Engineering in Automated Software Traceability. - Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini:
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks. - Eric Sihite, Filip Slezak, Ioannis Mandralis, Adarsh Salagame, Milad Ramezani, Arash Kalantari, Alireza Ramezani, Morteza Gharib:
Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. - Chengxiao Sun, Yan Xu, Jialun Pei, Haopeng Fang, He Tang:
Partitioned Saliency Ranking with Dense Pyramid Transformers. - Jing Zhao, Qianqian Su:
Verifiable Data Sharing Scheme for Dynamic Multi-Owner Setting. - Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao:
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. - Hikaru Hoshino, Yosuke Irie, Eiko Furutani:
Screening Curve Method for Economic Analysis of Photovoltaic Self-Consumption. - Haonan Li, Yu Hao, Yizhuo Zhai, Zhiyun Qian:
The Hitchhiker's Guide to Program Analysis: A Journey with Large Language Models. - Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad:
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning. - Ali Shokri, Alexandre Perez, Souma Chowdhury, Chen Zeng, Gerald Kaloor, Ion Matei, Peter-Patel Schneider, Akshith Gunasekaran, Shantanu Rane:
CONSTRUCT: A Program Synthesis Approach for Reconstructing Control Algorithms from Embedded System Binaries in Cyber-Physical Systems. - Guanyu Xu, Jiawei Hao, Li Shen, Han Hu, Yong Luo, Hui Lin, Jialie Shen:
LGViT: Dynamic Early Exiting for Accelerating Vision Transformer. - Therese Joseph, Tobias Fischer, Michael Milford:
Trajectory Tracking via Multiscale Continuous Attractor Networks. - Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang:
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. - Jiawei Xu, Diego S. D'Antonio, Dominic J. Ammirato, David Saldaña:
SBlimp: Design, Model, and Translational Motion Control for a Swing-Blimp. - Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin:
Improving Pixel-based MIM by Reducing Wasted Modeling Capability. - Xuan-Bac Nguyen, Xudong Liu, Xin Li, Khoa Luu:
The Algonauts Project 2023 Challenge: UARK-UAlbany Team Solution. - Tomàs Ortega, Hamid Jafarkhani:
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation. - Zehui Wu, Ziwei Gong, Jaywon Koo, Julia Hirschberg:
Multi-Modality Multi-Loss Fusion Network. - Zhenyuan Zhang, Zhenbo Song, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Jianfeng Lu:
Benchmarking Ultra-High-Definition Image Reflection Removal. - Rei Aso, Sayaka Shiota, Hitoshi Kiya:
Enhanced Security with Encrypted Vision Transformer in Federated Learning. - Samantha Chen, Yusu Wang:
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions. - Shiraz Khan, Inseok Hwang, James Goppert:
Exploiting Sparsity for Localization of Large-Scale Wireless Sensor Networks. - Hyeon Jeon, Yun-Hsin Kuo, Michaël Aupetit, Kwan-Liu Ma, Jinwook Seo:
Classes are not Clusters: Improving Label-based Evaluation of Dimensionality Reduction. - Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. - Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai:
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. - Hyeon Jeon, Aeri Cho, Jinhwa Jang, Soohyun Lee, Jake Hyun, Hyung-Kwon Ko, Jaemin Jo, Jinwook Seo:
ZADU: A Python Library for Evaluating the Reliability of Dimensionality Reduction Embeddings. - Hyeon Jeon, Ghulam Jilani Quadri, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, Jinwook Seo:
CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering. - Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Predictive Modeling through Hyper-Bayesian Optimization. - Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He:
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. - Zian Liu, Lei Pan, Chao Chen, Ejaz Ahmed, Shigang Liu, Jun Zhang, Dongxi Liu:
VulMatch: Binary-level Vulnerability Detection Through Signature. - Leslie Greengard, Shidong Jiang:
A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution. - Yuntong Zhang, Andreea Costea, Ridwan Shariffdeen, Davin McCall, Abhik Roychoudhury:
Patch Space Exploration using Static Analysis Feedback. - Shamanthak Hegde, Soumya Jahagirdar, Shankar Gangisetty:
Making the V in Text-VQA Matter. - Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan:
Online Prototype Learning for Online Continual Learning. - Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin:
Diffusion Model for Camouflaged Object Detection. - Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen:
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. - Marvin Künnemann, Bodo Manthey, Rianne Veenstra:
Smoothed Analysis of the 2-Opt Heuristic for the TSP under Gaussian Noise. - Hyun-Cheol Park, Sung Ho Kang:
Domain Adaptation based on Human Feedback for Enhancing Generative Model Denoising Abilities. - Sima Behpour, Thang Doan, Xin Li, Wenbin He, Liang Gou, Liu Ren:
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients. - Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang:
Doubly Robust Instance-Reweighted Adversarial Training. - Zhi Chen, Peng-Fei Zhang, Jingjing Li, Sen Wang, Zi Huang:
Zero-Shot Learning by Harnessing Adversarial Samples. - Soneya Binta Hossain, Matthew B. Dwyer, Sebastian G. Elbaum, Anh Nguyen-Tuong:
Artifact: Measuring and Mitigating Gaps in Structural Testing. - Ashrya Agrawal, Priyanshi Shah, Sourabh Prakash:
Pixel to policy: DQN Encoders for within & cross-game reinforcement learning. - Hai Zhu, Zhaoqing Yang, Weiwei Shang, Yuren Wu:
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack. - Asish Bera, Mita Nasipuri, Ondrej Krejcar, Debotosh Bhattacharjee:
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis. - Yunze Hu, Jiaao Chen, Kangjie Zhou, Han Gao, Yutong Li, Chang Liu:
Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation. - Binghan He, Takashi Tanaka:
Safety Control of Uncertain Lagrangian Systems Using Dynamic Output Feedback Barrier Pairs. - Matti Henning, Michael Buchholz, Klaus Dietmayer:
Advancing Frame-Dropping in Multi-Object Tracking-by-Detection Systems Through Event-Based Detection Triggering. - Yun Chen, Jiaping Xiao:
Target Search and Navigation in Heterogeneous Robot Systems with Deep Reinforcement Learning. - Honghua Dai, Qisi Wang, Zipu Yan, Xiaokui Yue:
Reconstruction Harmonic Balance Method and its Application in Solving Complex Nonlinear Dynamical Systems. - Omrit Filtser, Erik Krohn, Bengt J. Nilsson, Christian Rieck, Christiane Schmidt:
Minimum k-Hop Dominating Sets in Grid Graphs. - Thomas A. Henzinger, Konstantin Kueffner, Kaushik Mallik:
Monitoring Algorithmic Fairness under Partial Observations. - Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. - Ruoxi Qin, Linyuan Wang, Xuehui Du, Xingyuan Chen, Bin Yan:
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness. - Kishan Wimalawarne, Taiji Suzuki, Sophie Langer:
Learning Green's Function Efficiently Using Low-Rank Approximations. - Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu:
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework. - Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, Xiaojuan Qi:
Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding. - Christoph Grunau, Rustam Latypov, Yannic Maus, Shreyas Pai, Jara Uitto:
Conditionally Optimal Parallel Coloring of Forests. - Li Niu, Linfeng Tan, Xinhao Tao, Junyan Cao, Fengjun Guo, Teng Long, Liqing Zhang:
Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation. - Chongjun Ouyang, Yuanwei Liu, Xingqi Zhang, Lajos Hanzo:
Near-Field Communications: A Degree-of-Freedom Perspective. - Saurabh Kumar, Daniel Fuchs, Klaus Spindler:
Fountain - an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification. - Svetlana Abramova, Rainer Böhme:
Anatomy of a High-Profile Data Breach: Dissecting the Aftermath of a Crypto-Wallet Case. - Li Niu, Junyan Cao, Wenyan Cong, Liqing Zhang:
Deep Image Harmonization with Learnable Augmentation. - Matthias Humt, Dominik Winkelbauer, Ulrich Hillenbrand:
Shape Completion with Prediction of Uncertain Regions. - Paolo Santonastaso, John Sheekey:
On MSRD codes, h-designs and disjoint maximum scattered linear sets. - André Schulz:
Side-Contact Representations with Convex Polygons in 3D: New Results for Complete Bipartite Graphs. - Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao:
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency. - Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao:
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress. - Ying Yang, Kai Du, Xingyuan Dai, Jianwu Fang:
Counterfactual Graph Transformer for Traffic Flow Prediction. - Zhenyu Zhong, Qiliang Fan, Jiacheng Zhang, Minghua Ma, Shenglin Zhang, Yongqian Sun, Qingwei Lin, Yuzhi Zhang, Dan Pei:
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain. - Loïc J. Azzalini, Emmanuel Blazquez, Alexander Hadjiivanov, Gabriele Meoni, Dario Izzo:
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing. - Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li:
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. - Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. - Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin:
ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. - Jianben He, Xingbo Wang, Kamkwai Wong, Xijie Huang, Changjian Chen, Zixin Chen, Fengjie Wang, Min Zhu, Huamin Qu:
VideoPro: A Visual Analytics Approach for Interactive Video Programming. - Vito Walter Anelli, Daniele Malitesta, Claudio Pomo, Alejandro Bellogín, Tommaso Di Noia, Eugenio Di Sciascio:
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis. - Orsolya Vásárhelyi, Emoke-Ágnes Horvát:
Who benefits from altmetrics? The effect of team gender composition on the link between online visibility and citation impact. - Shanqi Pang, Chaomeng Zhang, Mengqian Chen, Miaomiao Zhang:
Near MDS and near quantum MDS codes via orthogonal arrays. - Shen Li, Ali Mirani, Magnus Karlsson, Erik Agrell:
Coded Modulation Schemes for Voronoi Constellations. - Die Hu, Shaoshi Yang, Min Gong, Zhiyong Feng, Xuejun Zhu:
A Cyber-Physical Routing Protocol Exploiting Trajectory Dynamics for Mission-Oriented Flying Ad Hoc Networks. - Xiao Wang, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Generative Query Reformulation for Effective Adhoc Search. - Yue Cao, Shaoshi Yang, Xiao Ma, Zhiyong Feng:
Cooperative Positioning for Sparsely Distributed High-Mobility Wireless Networks with EKF Based Spatio-Temporal Data Fusion. - Nadine Friesen, Tim Sander, Karl Nachtigall, Nils Nießen:
The complexity of the Timetable-Based Railway Network Design Problem. - Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh:
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions. - Fu-Hsien Huang, Hsin-Min Lu:
Multiscale Global and Regional Feature Learning Using Co-Tuplet Loss for Offline Handwritten Signature Verification. - Yajie Cui, Zhaoxiang Liu, Shiguo Lian:
Patch-wise Auto-Encoder for Visual Anomaly Detection. - Samuel Coward, Emiliano Morini, Bryan Tan, Theo Drane, George A. Constantinides:
Datapath Verification via Word-Level E-Graph Rewriting. - Roberto Cominetti, Valerio Dose, Marco Scarsini:
Monotonicity of Equilibria in Nonatomic Congestion Games. - Ning Miao, Yee Whye Teh, Tom Rainforth:
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning. - Amir Rafi, Carlton Shepherd, Konstantinos Markantonakis:
A First Look at Digital Rights Management Systems for Secure Mobile Content Delivery. - Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang:
FLatten Transformer: Vision Transformer using Focused Linear Attention. - Jose Moreno:
Complexity evaluation of network configurations and abstractions. - Eren Unlu:
Structural Embeddings of Tools for Large Language Models. - Ziyuan Yang, Andrew Beng Jin Teoh, Bob Zhang, Lu Leng, Yi Zhang:
Physics-Driven Spectrum-Consistent Federated Learning for Palmprint Verification. - Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Wing Kwong Chan:
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. - Ruiqi Yang, Eric Modesitt:
ViT2EEG: Leveraging Hybrid Pretrained Vision Transformers for EEG Data. - Philipp Blättner, Johannes Brand, Gerhard Neumann, Ngo Anh Vien:
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes. - Bolun Cai, Pengfei Xiong, Shangxuan Tian:
Center Contrastive Loss for Metric Learning. - (Withdrawn) Context-Aware Talking-Head Video Editing.
- Shihao Shen, Yiwen Han, Xiaofei Wang, Yan Wang:
Computation Offloading with Multiple Agents in Edge-Computing-Supported IoT. - Yanxin Xi, Yu Liu, Tong Li, Jintao Ding, Yunke Zhang, Sasu Tarkoma, Yong Li, Pan Hui:
A Satellite Imagery Dataset for Long-Term Sustainable Development in United States Cities. - Yansheng Su, Deren Han, Yun Zeng, Jiaxin Xie:
On greedy multi-step inertial randomized Kaczmarz method for solving linear systems. - Haishan Ye:
Mirror Natural Evolution Strategies. - Neelotpal Dutta, Tianyu Zhang, Guoxin Fang, Ismail E. Yigit, Charlie C. L. Wang:
Vector Field Based Volume Peeling for Multi-Axis Machining. - Phuong Quynh Le, Jörg Schlötterer, Christin Seifert:
Is Last Layer Re-Training Truly Sufficient for Robustness to Spurious Correlations? - Joshua O'Hagan, Andrew Chalmers, Taehyun Rhee:
Simulating the Geometric Growth of the Marine Sponge Crella Incrustans. - Eric Goubault, Roman Kniazev, Jérémy Ledent:
A many-sorted epistemic logic for chromatic hypergraphs. - Supun S. Manathunga, Y. A. Illangasekara:
Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical Education. - Andreas Chari, Sean MacAvaney, Iadh Ounis:
On the Effects of Regional Spelling Conventions in Retrieval Models. - Shihao Shen, Yuanming Ren, Yanli Ju, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung:
EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems. - Frederik Geth, Marta Vanin, Dirk Van Hertem:
Data quality challenges in existing distribution network datasets. - Yifei He, Artur Podobas, Stefano Markidis:
Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries. - Yanshi Sun, Zhiguo Ding, Xuchu Dai, Momiao Zhou, Zhizhong Ding:
Stochastic Geometry Based Modeling and Analysis on Network NOMA in Downlink CoMP Systems. - Lito Goldmann, Leon Kellerhals, Tomohiro Koana:
Structural Parameterizations of the Biclique-Free Vertex Deletion Problem. - Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong:
Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree. - Bartlomiej Starosta, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon:
Explainable Graph Spectral Clustering of Text Documents. - Frederike Oetker, Vittorio Nespeca, Thijs Vis, Paul Duijn, Peter M. A. Sloot, Rick Quax:
Framework for developing quantitative agent based models based on qualitative expert knowledge: an organised crime use-case. - Neri Merhav:
Trade-offs Between Weak-Noise Performance and Probability of Anomaly in Parameter Estimation from Noisy Chaotic Signals. - Jinglei Zhang, Tiancheng Lin, Yi Xu, Kai Chen, Rui Zhang:
Relational Contrastive Learning for Scene Text Recognition. - Giulio Delama, Farhad Shamsfakhr, Stephan Weiss, Daniele Fontanelli, Alessandro Fornasier:
UVIO: An UWB-Aided Visual-Inertial Odometry Framework with Bias-Compensated Anchors Initialization. - Daniella Tola, Peter Corke:
Understanding URDF: A Dataset and Analysis. - Andrea Avogaro, Federico Cunico, Bodo Rosenhahn, Francesco Setti:
Markerless human pose estimation for biomedical applications: a survey. - Zhihao Chi, Tu Zheng, Hengjia Li, Zheng Yang, Boxi Wu, Binbin Lin, Deng Cai:
NormKD: Normalized Logits for Knowledge Distillation. - Steve J. Bickley, Ho Fai Chan, Bang Dao, Benno Torgler, Son Tran:
SurveyLM: A platform to explore emerging value perspectives in augmented language models' behaviors. - Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao:
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup. - Susmita Ghosh, Abhiroop Chatterjee:
Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification. - Muzhaffar Hazman, Susan McKeever, Josephine Griffith:
Unimodal Intermediate Training for Multimodal Meme Sentiment Classification. - Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang:
Variational Label-Correlation Enhancement for Congestion Prediction. - Yuehai Chen:
Point Annotation Probability Map: Towards Dense Object Counting by Tolerating Annotation Noise. - Wentao Gong, Haonan Tong, Sihua Wang, Zhaohui Yang, Xinxin He, Changchuan Yin:
Adaptive Bitrate Video Semantic Communication over Wireless Networks. - Renteng Yuan, Mohamed A. Abdel-Aty, Qiaojun Xiang, Zijin Wang, Ou Zheng:
A Novel Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction. - Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. - Zijian Lv, Xin Chen, Zijian Feng:
Graph Embedding Dynamic Feature-based Supervised Contrastive Learning of Transient Stability for Changing Power Grid Topologies. - Lala Shakti Swarup Ray, Vítor Fortes Rey, Bo Zhou, Sungho Suh, Paul Lukowicz:
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps. - Vasileios Perifanis, Ioanna Michailidi, Giorgos Stamatelatos, George Drosatos, Pavlos S. Efraimidis:
Predicting Early Dropouts of an Active and Healthy Ageing App. - Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb:
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks. - Mikolaj Czerkawski, Robert C. Atkinson, Christos Tachtatzis:
Detecting Cloud Presence in Satellite Images Using the RGB-based CLIP Vision-Language Model. - Xinran Zheng, Shuo Yang, Xingjun Wang:
SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection. - Xiao Shen, Na Zhao, Yuan Shen:
On the Performance Tradeoff of an ISAC System with Finite Blocklength. - Mattia Corti, Francesca Bonizzoni, Paola F. Antonietti:
Structure Preserving Polytopal Discontinuous Galerkin Methods for the Numerical Modeling of Neurodegenerative Diseases. - Hanyu Peng, Guanhua Fang, Ping Li:
Copula for Instance-wise Feature Selection and Ranking. - Huimin Li, Phillip Rieger, Shaza Zeitouni, Stjepan Picek, Ahmad-Reza Sadeghi:
FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning. - Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than:
Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal, Distance Oracles, Tree Covers, and More. - Seongsik Park, Jeonghee Jo, Jongkil Park, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Inho Kim, Jong-Keuk Park, Kyeong Seok Lee, Gye Weon Hwang, Hyun Jae Jang:
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information. - Travis Askham, Carlos Borges, Jeremy G. Hoskins, Manas Rachh:
Random walks in frequency and the reconstruction of obstacles with cavities from multi-frequency data. - Yubin Xiao, Di Wang, Huanhuan Chen, Boyang Li, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou:
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. - Zhaoming Hu, Ruikang Zhong, Chao Fang, Yuanwei Liu:
Caching-at-STARS: the Next Generation Edge Caching. - Sunyou Hwang, Bart D. W. Remes, Guido C. H. E. de Croon:
AOSoar: Autonomous Orographic Soaring of a Micro Air Vehicle. - Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun:
Predicting masked tokens in stochastic locations improves masked image modeling. - Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas:
Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots. - Telli Khaled, Mohamed Boumehraz:
Adaptive Sliding Mode Controller and Observer for Altitude and Attitude Control of a Quadrotor. - Jiafu Wu, Jian Li, Jiangning Zhang, Boshen Zhang, Mingmin Chi, Yabiao Wang, Chengjie Wang:
PVG: Progressive Vision Graph for Vision Recognition. - Yiting Chen, Ahmet Ercan Tekden, Marc Peter Deisenroth, Yasemin Bekiroglu:
Sliding Touch-based Exploration for Modeling Unknown Object Shape with Multi-fingered Hands. - Lauren Bramblett, Nicola Bezzo:
Epistemic Planning for Heterogeneous Robotic Systems. - Kaijian Liu, Shixiang Tang, Ziyue Li, Zhishuai Li, Lei Bai, Feng Zhu, Rui Zhao:
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities. - Alpesh Bhudia, Anna Cartwright, Edward J. Cartwright, Darren Hurley-Smith, Julio C. Hernandez-Castro:
Game Theoretic Modelling of a Ransom and Extortion Attack on Ethereum Validators. - Chaoqun Zhuang, Yunfei Liu, Sijia Wen, Feng Lu:
Visibility Enhancement for Low-light Hazy Scenarios. - Svajunas Sajavicius, Thomas Takacs:
Imposing nonlocal boundary conditions in Galerkin-type methods based on non-interpolatory functions. - Marcelo Eduardo Pederiva, José Mario De Martino, Alessandro Zimmer:
MonoNext: A 3D Monocular Object Detection with ConvNext. - Jimmy Fernandez Landivar, Pieter Crombez, Sofie Pollin, Hazem Sallouha:
QualityBLE: A QoS Aware Implementation for BLE Mesh Networks. - Christopher Donnay:
3: 1 Nesting Rules in Redistricting. - Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson:
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. - Md. Tanvir Rouf Shawon, G. M. Shahariar Shibli, Farzad Ahmed, Sajib Kumar Saha Joy:
Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance. - Weilin Li:
Multiscale estimates for the condition number of non-harmonic Fourier matrices. - Patrick Mukala:
Formal Verification Of A Shopping Basket Application Model Using PRISM. - Weiyun Jiang, Vivek Boominathan, Ashok Veeraraghavan:
NeRT: Implicit Neural Representations for General Unsupervised Turbulence Mitigation. - Patrick McDaniel, Farinaz Koushanfar:
Secure and Trustworthy Computing 2.0 Vision Statement. - Qinhua Duan, Wenchao Gu, Yujia Chen, Wenxin Mao, Zewen Tian, Hui Cao:
JIANG: Chinese Open Foundation Language Model. - Bohao Fan, Siqi Wang, Wenxuan Guo, Wenzhao Zheng, Jianjiang Feng, Jie Zhou:
Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes. - Mohit Rajpal, Lac Gia Tran, Yehong Zhang, Bryan Kian Hsiang Low:
Hessian-Aware Bayesian Optimization for Decision Making Systems. - Måns I. Andersson, Felix Liu, Stefano Markidis:
Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems. - Yuhao Lu, Yixuan Fan, Beixing Deng, Fangfu Liu, Yali Li, Shengjin Wang:
VL-Grasp: a 6-Dof Interactive Grasp Policy for Language-Oriented Objects in Cluttered Indoor Scenes. - Monika Dalal, Sucheta Dutt, Ranjeet Sehmi:
Reversible complement cyclic codes over finite chain rings. - Noah Goodall:
Comparability of Automated Vehicle Crash Databases. - Xiaolei Diao, Daqian Shi, Jian Li, Lida Shi, Mingzhe Yue, Ruihua Qi, Chuntao Li, Hao Xu:
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations. - Amina Fellan, Ainur Daurembekova, Hans D. Schotten:
Considerations on the EMF Exposure Relating to the Next Generation Non-Terrestrial Networks. - Patrick Mukala:
Arithmetic Deduction Model for High Performance Computing: A Comparative Exploration of Computational Models Paradigms. - Patrick Mukala:
An Empirical Evaluation of AriDeM using Matrix Multiplication. - Abhiroop Bhattacharjee, Abhishek Moitra, Priyadarshini Panda:
HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms. - Yuntong Zhang, Ridwan Shariffdeen, Gregory J. Duck, Jiaqi Tan, Abhik Roychoudhury:
Program Repair by Fuzzing over Patch and Input Space. - Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Active Learning in Genetic Programming: Guiding Efficient Data Collection for Symbolic Regression. - Nectarios C. Papanicolaou, C. I. Christov:
Orthonormal eigenfunction expansions for sixth-order boundary value problems. - Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister:
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. - Charlotte Aten:
Discrete neural nets and polymorphic learning. - Matthew Streeter, Joshua V. Dillon:
Sharp Taylor Polynomial Enclosures in One Dimension. - Tinghao Feng, Yueqi Hu, Jing Yang, Tom Polk, Ye Zhao, Shixia Liu, Zhaocong Yang:
TimePool: Visually Answer "Which and When" Questions On Univariate Time Series. - Nadezhda Chirkova, Sergey Troshin:
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. - Sercan Aygun, Mehran Shoushtari Moghadam, M. Hassan Najafi, Mohsen Imani:
Learning from Hypervectors: A Survey on Hypervector Encoding. - Patrick Mukala:
Mining Reviews in Open Source Code for Developers Trail: A Process Mining Approach. - Nikhil Varma Keetha, Avneesh Mishra, Jay Karhade, Krishna Murthy Jatavallabhula, Sebastian A. Scherer, K. Madhava Krishna, Sourav Garg:
AnyLoc: Towards Universal Visual Place Recognition. - Patrick Mukala:
Implementation of a Service-Oriented Architecture for a e-WALLET System for Cashless Transactions in the Democratic Republic of Congo. - Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia:
LISA: Reasoning Segmentation via Large Language Model. - Arian Eamaz, Farhang Yeganegi, Deanna Needell, Mojtaba Soltanalian:
Harnessing the Power of Sample Abundance: Theoretical Guarantees and Algorithms for Accelerated One-Bit Sensing. - Lázaro Costa, Susana Barbosa, Jácome Cunha:
A Backend Platform for Supporting the Reproducibility of Computational Experiments. - Amit Tiwari, Susmita Bardhan, Vikas Kumar:
A Bibliographic Study on Artificial Intelligence Research: Global Panorama and Indian Appearance. - Alexander W. Goodall, Francesco Belardinelli:
Approximate Model-Based Shielding for Safe Reinforcement Learning. - Shailja Thakur, Baleegh Ahmad, Hammond Pearce, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri, Siddharth Garg:
VeriGen: A Large Language Model for Verilog Code Generation. - Sotiris Pelekis, Evangelos Karakolis, Theodosios Pountridis, Georgios Kormpakis, George Lampropoulos, Spiros Mouzakitis, Dimitris Askounis:
DeepTSF: Codeless machine learning operations for time series forecasting. - Igor Cherepanov, David Sessler, Alex Ulmer, Hendrik Lücke-Tieke, Jörn Kohlhammer:
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features. - Samir R. Katte:
Communication systems using LabVIEW. - Philippe L. Toint:
Divergence of the ADAM algorithm with fixed-stepsize: a (very) simple example. - Xinyao Liu, Shengdong Du, Fengmao Lv, Hongtao Xue, Jie Hu, Tianrui Li:
A Pre-trained Data Deduplication Model based on Active Learning. - Khaled Telli, Mohamed Boumehraz:
Black-Box System Identification for Low-Cost Quadrotor Attitude at Hovering. - Hengchu Lu, Yuanjie Shao, Xiang Wang, Changxin Gao:
Adaptive Semantic Consistency for Cross-domain Few-shot Classification. - Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng:
ELFNet: Evidential Local-global Fusion for Stereo Matching. - Hongbo Liu, Mingda Wu, Kun Yuan, Ming Sun, Yansong Tang, Chuanchuan Zheng, Xing Wen, Xiu Li:
Ada-DQA: Adaptive Diverse Quality-aware Feature Acquisition for Video Quality Assessment. - Mohammed Almutairi, Ozioma Collins Oguine:
Mapping Computer Science Research: Trends, Influences, and Predictions. - Márcio Ferreira Moreno, Rafael Rossi de Mello Brandão:
A Knowledge-Oriented Approach to Enhance Integration and Communicability in the Polkadot Ecosystem. - Preethi Seshadri, Sameer Singh, Yanai Elazar:
The Bias Amplification Paradox in Text-to-Image Generation. - Jinghao Zhang, Jie Huang, Man Zhou, Chongyi Li, Feng Zhao:
Decomposition Ascribed Synergistic Learning for Unified Image Restoration. - Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner:
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval. - Gabin Schieffer, Nattawat Pornthisan, Daniel Araújo de Medeiros, Stefano Markidis, Jacob Wahlgren, Ivy Bo Peng:
Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU. - Giselle Zeno, Timothy La Fond, Jennifer Neville:
DYMOND: DYnamic MOtif-NoDes Network Generative Model. - Hengfei Wang, Zhongqun Zhang, Yihua Cheng, Hyung Jin Chang:
High-Fidelity Eye Animatable Neural Radiance Fields for Human Face. - Tyler M. Paine, Michael R. Benjamin:
An ensemble of online estimation methods for one degree-of-freedom models of unmanned surface vehicles: applied theory and preliminary field results with eight vehicles. - Mingzhan Yang, Guangxin Han, Bin Yan, Wenhua Zhang, Jinqing Qi, Huchuan Lu, Dong Wang:
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking. - Sizhen Bian, Michele Magno:
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition. - Yihua Zhang, Prashant Khanduri, Ioannis C. Tsaknakis, Yuguang Yao, Mingyi Hong, Sijia Liu:
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning. - Anton Bukov, Shay Solomon, Tianyi Zhang:
Nearly Optimal Dynamic Set Cover: Breaking the Quadratic-in-f Time Barrier. - Albert Gran Alcoz, Balázs Vass, Gábor Rétvári, Laurent Vanbever:
Everything Matters in Programmable Packet Scheduling. - Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji:
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. - Abhinav Benagi, Dhanyatha Narayan, Charith Rage, A Sushmitha:
Artificial Eye for the Blind. - Stergios Chatzikyriakidis, Chatrine Qwaider, Ilias Kolokousis, Christina Koula, Dimitris Papadakis, Efthymia Sakellariou:
GRDD: A Dataset for Greek Dialectal NLP. - Md Sakib Hossain Shovon, Muhammad Firoz Mridha, Khan Md. Hasib, Sultan Alfarhood, Mejdl S. Safran, Dunren Che:
Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE). - Jeonghyun Lee, Vrinda Nandan, Harshvardhan Sikka, Spencer Rugaber, Ashok Goal:
Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent. - Luis Blanco Díaz, Fernando Jiménez Alburquerque, Javier de Lucas, Cristina Sardón:
Geometry preserving numerical methods for physical systems with finite-dimensional Lie algebras. - Brian Bell, Michael Geyer, David Glickenstein, Amanda S. Fernandez, Juston Moore:
An Exact Kernel Equivalence for Finite Classification Models. - Sizhe Guan, Haolan Liu, Hamid Reza Pourreza, Hamidreza Mahyar:
Deep Learning Approaches in Pavement Distress Identification: A Review. - Teodor Bucht, Jacob S. Christiansen:
A geometric approach to approximating the limit set of eigenvalues for banded Toeplitz matrices. - Sariel Har-Peled:
Approximately: Independence Implies Vertex Cover. - Bongjoon Hyun, Taehun Kim, Dongjae Lee, Minsoo Rhu:
Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology. - Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. - Muhammad A. Shah, Bhiksha Raj:
Training on Foveated Images Improves Robustness to Adversarial Attacks. - Absalom E. Ezugwu, Japie Greeff, Yuh-Shan Ho:
A Comprehensive Study of Groundbreaking Machine Learning Research: Analyzing Highly Cited and Impactful Publications across Six Decades. - Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation. - Stephan Johann Lehmler, Muhammad Saif-ur-Rehman, Tobias Glasmachers, Ioannis Iossifidis:
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes. - Sarah Shoker, Andrew W. Reddie, Sarah Barrington, Ruby Booth, Miles Brundage, Husanjot Chahal, Michael Depp, Bill Drexel, Ritwik Gupta, Marina Favaro, Jake Hecla, Alan Hickey, Margarita Konaev, Kirthi Kumar, Nathan Lambert, Andrew Lohn, Cullen O'Keefe, Nazneen Rajani, Michael Sellitto, Robert Trager, Leah Walker, Alexa Wehsener, Jessica Young:
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings. - Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell:
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. - Alex John London, Hoda Heidari:
Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems. - Qingyang Wu, James Gung, Raphael Shu, Yi Zhang:
DiactTOD: Learning Generalizable Latent Dialogue Acts for Controllable Task-Oriented Dialogue Systems. - Iman Mokari Bolhassan, Ali Abdali, Murat Kuscu:
Microfluidic Molecular Communication Transmitter Based on Hydrodynamic Gating. - Boluwatife E. Faremi, Jonathon Stavres, Nuno Oliveira, Zhaoxian Zhou, Andrew H. Sung:
Enhancing Machine Learning Performance with Continuous In-Session Ground Truth Scores: Pilot Study on Objective Skeletal Muscle Pain Intensity Prediction. - Zhen Zhang, Mohammed Haroon Dupty, Fan Wu, Javen Qinfeng Shi, Wee Sun Lee:
Factor Graph Neural Networks. - Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu:
Tango: rethinking quantization for graph neural network training on GPUs. - Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf:
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. - Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang:
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. - Erin W. Chambers, Brittany Terese Fasy, Benjamin Holmgren, Sushovan Majhi, Carola Wenk:
Metric and Path-Connectedness Properties of the Frechet Distance for Paths and Graphs. - Yonghe Zhao, Qiang Huang, Siwei Wu, Yun Peng, Huiyan Sun:
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference. - Yasheng Sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike:
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation. - Renzhi Wu, Jingfan Meng, Jie Jeff Xu, Huayi Wang, Kexin Rong:
Rethinking Similarity Search: Embracing Smarter Mechanisms over Smarter Data. - Haifeng Ji, Dong Liang, Qian Zhang:
A Mini Immersed Finite Element Method for Two-Phase Stokes Problems on Cartesian Meshes. - Hazhar Rahmani, Arash Ahadi, Jie Fu:
Optimal Sensor Deception to Deviate from an Allowed Itinerary. - Jacob Higgins, Nicholas Mohammad, Nicola Bezzo:
A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments. - Dongjia Zhao, Lei Qi, Xiao Shi, Yinghuan Shi, Xin Geng:
A Novel Cross-Perturbation for Single Domain Generalization. - Keran Ye, Kenneth Chung, Konstantinos Karydis:
A Novel Lockable Spring-loaded Prismatic Spine to Support Agile Quadrupedal Locomotion. - Chowdhury Sadman Jahan, Andreas E. Savakis:
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather. - Rao Li, Jyotishmoy Deka, Kaushik Deka:
An Algorithm for the Longest Common Subsequence and Substring Problem. - Samia Sultana, Shyla Afroge:
Detection and Segmentation of Cosmic Objects Based on Adaptive Thresholding and Back Propagation Neural Network. - Jeremias Garay, Jocelyn Dunstan, Sergio Uribe, Francisco Sahli Costabal:
Physics-informed neural networks for blood flow inverse problems. - Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb:
QUANT: A Minimalist Interval Method for Time Series Classification. - Suncheng Xiang, Qingzhong Chen, Shilun Cai, Chengfeng Zhou, Crystal Cai, Sijia Du, Dahong Qian:
Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification. - Zengxi Zhang, Zhiying Jiang, Jinyuan Liu, Xin Fan, Risheng Liu:
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond. - Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang:
Particle swarm optimization with state-based adaptive velocity limit strategy. - Ran Gong, Xiaofeng Gao, Qiaozi Gao, Suhaila Shakiah, Govind Thattai, Gaurav S. Sukhatme:
LEMMA: Learning Language-Conditioned Multi-Robot Manipulation. - Ziheng Wang, Atem Aguer, Amir Ziai:
DPA Load Balancer: Load balancing for Data Parallel Actor-based systems. - Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng:
Feature-aware conditional GAN for category text generation. - KG Raghavendra Narayan, Srijanee Mookherji, Vanga Odelu, Rajendra Prasath, Anish Chand Turlapaty, Ashok Kumar Das:
IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications. - Rahul Peddi, Nicola Bezzo:
A Decision Tree-based Monitoring and Recovery Framework for Autonomous Robots with Decision Uncertainties. - Yaohui Guo, X. Jessie Yang, Cong Shi:
Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction. - Tim Hartill, Neset Tan, Michael Witbrock, Patricia J. Riddle:
Teaching Smaller Language Models To Generalise To Unseen Compositional Questions. - Yuchen Shen, Dong Zhang, Yuhui Zheng, Zechao Li, Liyong Fu, Qiaolin Ye:
Training-Free Instance Segmentation from Semantic Image Segmentation Masks. - Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Neil Houlsby:
From Sparse to Soft Mixtures of Experts. - Chowdhury Sadman Jahan, Andreas E. Savakis:
Curriculum Guided Domain Adaptation in the Dark. - Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu:
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. - Pinglan Liu, Wensheng Zhang:
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud. - Jiucui Lu, Yuezun Li, Jiaran Zhou, Bin Li, Junyu Dong, Siwei Lyu:
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces. - Zhirong Yang, Weijun Gao, Chong Han:
A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium. - Steven Schreck, Hannes Reichert, Manuel Hetzel, Konrad Doll, Bernhard Sick:
Height Change Feature Based Free Space Detection. - Étienne de Montbrun, Sébastien Gerchinovitz:
Certified Multi-Fidelity Zeroth-Order Optimization. - Sujoy Bhore, Martin Nöllenburg, Csaba D. Tóth, Jules Wulms:
Fully Dynamic Maximum Independent Sets of Disks in Polylogarithmic Update Time. - Zhuangzhuang Zhang, Zhenning Zhou, Haili Wang, Zhinan Zhang, Huang Huang, Qixin Cao:
Grasp Stability Assessment Through Attention-Guided Cross-Modality Fusion and Transfer Learning. - Fabian Deuser, Konrad Habel, Martin Werner, Norbert Oswald:
Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation. - Mitsumasa Ikeda, Yoriyuki Yamagata, Takayuki Kihara:
On the Metric Temporal Logic for Continuous Stochastic Processes. - Xuanming Liu, Xinpeng Yang, Xun Zhang, Xiaohu Yang:
Evaluate and Guard the Wisdom of Crowds: Zero Knowledge Proofs for Crowdsourcing Truth Inference. - Darius Foo, Yahui Song, Wei-Ngan Chin:
Staged Specifications for Automated Verification of Higher-Order Imperative Programs. - Haorui Li, Jiaqi Liang, Linjing Li, Daniel Dajun Zeng:
Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning. - Tanya Araújo, Alexandre Abreu, Francisco Louçã:
The evolution of Complexity co-occurring keywords: bibliometric analysis and network approach. - Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh:
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. - Diogo Costa, Luca Cuomo, Daniel Oliveira, Ida Maria Savino, Bruno Morelli, José Martins, Alessandro Biasci, Sandro Pinto:
IRQ Coloring and the Subtle Art of Mitigating Interrupt-generated Interference. - Louis Soum-Fontez, Jean-Emmanuel Deschaud, François Goulette:
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization. - Anirvan Dutta, Etienne Burdet, Mohsen Kaboli:
Push to know! - Visuo-Tactile based Active Object Parameter Inference with Dual Differentiable Filtering. - Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu:
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving. - Nanami Kotani, Asako Kanezaki:
Point Anywhere: Directed Object Estimation from Omnidirectional Images. - Chunwei Yang, Xiaoxu Chen, Lijun Sun, Hongyu Yang, Yuankai Wu:
Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach. - Ramanan Sivaguru, Vasista Sai Lodagala, Srinivasan Umesh:
SALTTS: Leveraging Self-Supervised Speech Representations for improved Text-to-Speech Synthesis. - Ali Arjomandi-Nezhad, Yifei Guo, Bikash C. Pal, Damiano Varagnolo:
A Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters. - Wen Wei, Jiankun Wang:
Ethical Decision-making for Autonomous Driving based on LSTM Trajectory Prediction Network. - Koji Nakano, Shunsuke Tsukiyama, Yasuaki Ito, Takashi Yazane, Junko Yano, Takumi Kato, Shiro Ozaki, Rie Mori, Ryota Katsuki:
Dual-Matrix Domain-Wall: A Novel Technique for Generating Permutations by QUBO and Ising Models with Quadratic Sizes. - Young-Man Kim:
Error Analysis of CORDIC Processor with FPGA Implementation. - Aayush Chaudhary, Abhinav Rai, Abhishek Gupta:
Maximizing Success Rate of Payment Routing using Non-stationary Bandits. - Hyunjun Choi, Jaeho Chung, Hawook Jeong, Jin Young Choi:
Three Factors to Improve Out-of-Distribution Detection. - Progress Zivuku, Steven Kisseleff, Wallace A. Martins, Hayder Al-Hraishawi, Symeon Chatzinotas, Björn E. Ottersten:
Performance of Joint Symbol Level Precoding and RIS Phase Shift Design in the Finite Block Length Regime with Constellation Rotation. - Leyla Benhamida, Khadidja Delloul, Slimane Larabi:
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual Impairments. - Nicolas L. Guidotti, Juan A. Acebrón, José Monteiro:
A Fast Monte Carlo algorithm for evaluating matrix functions with application in complex networks. - Henri Schmidt, Christian Düll:
Computing the Distance between unbalanced Distributions - The flat Metric. - Xinfeng Li, Chen Yan, Xuancun Lu, Zihan Zeng, Xiaoyu Ji, Wenyuan Xu:
Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time. - Xingjian Wang, Li Chai, Jiming Chen, Zhiguo Shi:
WCCNet: Wavelet-integrated CNN with Crossmodal Rearranging Fusion for Fast Multispectral Pedestrian Detection. - Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. - Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu:
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. - Ji Zhou, Zhenping Xing, Haide Wang, Kuo Zhang, Xi Chen, Qiguang Feng, Keshuang Zheng, Yijia Zhao, Zhen Dong, Tao Gui, Zhicheng Ye, Liangchuan Li:
Flexible Coherent Optical Access: Architectures, Algorithms, and Demonstrations. - Alessandro Zanardi, Andrea Censi, Margherita Atzei, Luigi Di Lillo, Emilio Frazzoli:
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness. - Peijun Zhang, Chuanzeng Zhang, Yan Gu, Wenzhen Qu, Shengdong Zhao:
Boundary integrated neural networks (BINNs) for 2D elastostatic and piezoelectric problems: Theory and MATLAB code. - Phuoc-Truong Huynh, Konstantin Pieper, Daniel Walter:
Towards optimal sensor placement for inverse problems in spaces of measures. - Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J. Gilbert, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening. - Ivano Donadi, Emilio Olivastri, Daniel Fusaro, Wanmeng Li, Daniele Evangelista, Alberto Pretto:
Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition. - G. Negrini, Nicola Parolini, Marco Verani:
The Rhie-Chow stabilized Box Method for the Stokes problem. - Robert Dennison, Steve Maddock:
Using The Polynomial Particle-In-Cell Method For Liquid-Fabric Interaction. - Xing Ai, Jialong Zhou, Yulin Zhu, Gaolei Li, Tomasz P. Michalak, Xiapu Luo, Kai Zhou:
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach. - Maximilian Rosenberg, Bettina Schneider, Christopher Scherb, Petra Maria Asprion:
An Adaptable Approach for Successful SIEM Adoption in Companies. - Serge P. Hoogendoorn, Victor L. Knoop, Hani S. Mahmassani, Sascha Hoogendoorn-Lanser:
Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations. - Jean-Marc Brossier, Olivier D. Lafitte, Lenny Réthoré:
When Analytic Calculus Cracks AdaBoost Code. - Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. - Joshua Harrison, Ehsan Toreini, Maryam Mehrnezhad:
A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards. - Lea Krause, Selene Baez Santamaría, Michiel van der Meer, Urja Khurana:
Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation. - Süleyman Yildiz, Pawan Goyal, Thomas Bendokat, Peter Benner:
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. - Stanislav Kikot:
Spatial Intelligence of a Self-driving Car and Rule-Based Decision Making. - Giacomo D'Amicantonio, Egor Bondarau, Peter H. N. de With:
Homography Estimation in Complex Topological Scenes. - Gianluca Amprimo, Giulia Masi, Giuseppe Pettiti, Gabriella Olmo, Lorenzo Priano, Claudia Ferraris:
Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks. - A. V. Reznichenko, V. O. Guba:
Path-integral approach to mutual information calculation for nonlinear communication channel with small second dispersion at large signal-to-noise power ratio. - Niklas Kolbe, Moritz Berghaus, Eszter Kalló, Michael Herty, Markus Oeser:
A data-driven microscopic on-ramp model based on macroscopic network flows. - Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng, Xianghui Luo, Ognjen Savkovic, Dumitru Roman, Ahmet Soylu, Evgeny Kharlamov:
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case. - Jinpeng Lin, Min Zhou, Ye Ma, Yifan Gao, Chenxi Fei, Yangjian Chen, Zhang Yu, Tiezheng Ge:
AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation. - (Withdrawn) Spatio-Temporal Branching for Motion Prediction using Motion Increments.
- Kun-Peng Ning, Ming Pang, Zheng Fang, Xue Jiang, Xi-Wei Zhao, Changping Peng, Zhangang Lin, Jinghe Hu, Jingping Shao:
Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search. - Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlán Grangel-González, Ahmet Soylu, Evgeny Kharlamov:
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case. - Enrico Iurlano, Tatjana Zec, Marko Djukanovic, Günther R. Raidl:
Signed double Roman domination on cubic graphs. - Chen Peng, Peng Wei, Zhenghao Fei, Yuankai Zhu, Stavros G. Vougioukas:
Optimization-Based Motion Planning for Autonomous Agricultural Vehicles Turning in Constrained Headlands. - Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner:
A Survey on Popularity Bias in Recommender Systems. - Gabriel Arslan Waltersson, Yiannis Karayiannidis:
Planar Friction Modelling with LuGre Dynamics and Limit Surfaces. - Eleonora Denich, Paolo Novati:
Some notes on the trapezoidal rule for Fourier type integrals. - Shenbagaraj Kannapiran, Nalin Bendapudi, Ming-Yuan Yu, Devarth Parikh, Spring Berman, Ankit Vora, Gaurav Pandey:
Stereo Visual Odometry with Deep Learning-Based Point and Line Feature Matching using an Attention Graph Neural Network. - Kanzhi Cheng, Wenpo Song, Zheng Ma, Wenhao Zhu, Zixuan Zhu, Jianbing Zhang:
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model. - Jingfan Chen, Yuxi Wang, Pengfei Wang, Xiao Chen, Zhaoxiang Zhang, Zhen Lei, Qing Li:
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation. - Dimitrios Tsourounis, Ilias Theodorakopoulos, Elias N. Zois, George Economou:
Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification. - Haiwen Du, Zheng Ju, Yu An, Honghui Du, Dongjie Zhu, Zhaoshuo Tian, Aonghus Lawlor, Ruihai Dong:
Can We Transfer Noise Patterns? A Multi-environment Spectrum Analysis Model Using Generated Cases. - Jiaojiao Zhang, Dominik Fay, Mikael Johansson:
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. - Siladittya Manna, Soumitri Chattopadhyay, Rakesh Dey, Saumik Bhattacharya, Umapada Pal:
DySTreSS: Dynamically Scaled Temperature in Self-Supervised Contrastive Learning. - Majid Haghparast, Tommi Mikkonen, Jukka K. Nurminen, Vlad Stirbu:
Quantum Software Engineering Challenges from Developers' Perspective: Mapping Research Challenges to the Proposed Workflow Model. - Kanzhi Cheng, Zheng Ma, Shi Zong, Jianbing Zhang, Xinyu Dai, Jiajun Chen:
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora. - Georgia Pierrou, Gabriela Hug:
Integrating Optimal EV Charging in the Energy Management of Electric Railway Stations. - Qingsong Xu, Yilei Shi, Jianhua Guo, Chaojun Ouyang, Xiao Xiang Zhu:
UCDFormer: Unsupervised Change Detection Using a Transformer-driven Image Translation. - Guojin Zhong, Jin Yuan, Pan Wang, Kailun Yang, Weili Guan, Zhiyong Li:
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation. - Florian Luca, James Maynard, Armand Noubissie, Joël Ouaknine, James Worrell:
Skolem Meets Bateman-Horn. - Davide Maltoni, Matteo Ferrara:
Arithmetic with Language Models: from Memorization to Computation. - Scott Seidenberger, Alec Sokol, Anindya Maiti:
Stake Your Claim: Zero-Trust Validator Deployment Leveraging NFTs and Smart Contracts in Proof-of-Stake Networks. - Yuri Nakao, Takuya Yokota:
Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations. - Lingxiao Meng, Jiangshan Liu, Wei Chai, Jiankun Wang, Max Q.-H. Meng:
Virtual Reality Based Robot Teleoperation via Human-Scene Interaction. - Joseph W. N. Paulus, Jorge A. Pérez, Daniele Nantes-Sobrinho:
Termination in Concurrency, Revisited. - Xiaochi Qian, Shangtong Zhang:
Direct Gradient Temporal Difference Learning. - Achim Blumensath:
The Expansion Problem for Infinite Trees. - Huzheng Yang, James C. Gee, Jianbo Shi:
Memory Encoding Model. - Yiyang Sun, Xiaonian Wang, Yangyang Zhang, Jiagui Tang, Xiaqiang Tang, Jing Yao:
Interpretable End-to-End Driving Model for Implicit Scene Understanding. - Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro:
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. - Chang-Bin Jeon, Kyogu Lee:
Music De-limiter Networks via Sample-wise Gain Inversion. - Yongkang He, Mingjin Chen, Zhijing Yang, Yongyi Lu:
Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation. - Shihan Dou, Junjie Shan, Haoxiang Jia, Wenhao Deng, Zhiheng Xi, Wei He, Yueming Wu, Tao Gui, Yang Liu, Xuanjing Huang:
Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey. - Xiaobei Yan, Xiaoxuan Lou, Guowen Xu, Han Qiu, Shangwei Guo, Chip-Hong Chang, Tianwei Zhang:
Mercury: An Automated Remote Side-channel Attack to Nvidia Deep Learning Accelerator. - Siao Liu, Zhaoyu Chen, Yang Liu, Yuzheng Wang, Dingkang Yang, Zhile Zhao, Ziqing Zhou, Xie Yi, Wei Li, Wenqiang Zhang, Zhongxue Gan:
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation. - Amit Pande, Kunal Ghosh, Rankyung Park:
Personalized Category Frequency prediction for Buy It Again recommendations. - Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Brais Cancela, Carlos Eiras-Franco:
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability. - Guowei Wu, Weike Pan, Zhong Ming:
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. - Costas Busch, Da Qi Chen, Arnold Filtser, Daniel Hathcock, D. Ellis Hershkowitz, Rajmohan Rajaraman:
One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree. - Sheng Yu, Xiao Pan, Anastasis Georgiou, Boli Chen, Imad M. Jaimoukha, Simos A. Evangelou:
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles. - Bhoomeendra Singh Sisodiya, Narendra Babu Unnam, P. Krishna Reddy, Apala Das, K. V. K. Santhy, V. Balakista Reddy:
Analysing the Resourcefulness of the Paragraph for Precedence Retrieval. - Shusen Wang:
Methodologies for Improving Modern Industrial Recommender Systems. - Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. - Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. - Kaibin Tian, Ruixiang Zhao, Hu Hu, Runquan Xie, Fengzong Lian, Zhanhui Kang, Xirong Li:
TeachCLIP: Multi-Grained Teaching for Efficient Text-to-Video Retrieval. - Manuel Valle Torre, Marcus Specht, Catharine Oertel:
The sequence matters: A systematic literature review of using sequence analysis in Learning Analytics. - Rebekka Görge, Elena Haedecke, Michael Mock:
Using ScrutinAI for Visual Inspection of DNN Performance in a Medical Use Case. - Cheng Wang:
Calibration in Deep Learning: A Survey of the State-of-the-Art. - Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe:
Do Multilingual Language Models Think Better in English? - Aryan Kaushik, Rohit Singh, Shalanika Dayarathna, Rajitha Senanayake, Marco Di Renzo, Miguel Dajer, Hyoungju Ji, Younsun Kim, Vincenzo Sciancalepore, Alessio Zappone, Wonjae Shin:
Towards Integrated Sensing and Communications for 6G: A Standardization Perspective. - Jan Hartman, Assaf Klein, Davorin Kopic, Natalia Silberstein:
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models. - Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He:
Grounded Image Text Matching with Mismatched Relation Reasoning. - Pengzhou Cheng, Lei Hua, Haobin Jiang, Mohammad Samie, Gongshen Liu:
LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion. - Zhiqiang Yuan, Junwei Liu, Qiancheng Zi, Mingwei Liu, Xin Peng, Yiling Lou:
Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation. - Wenlian Lu, Longbin Zeng, Xin Du, Wenyong Zhang, Shitong Xiang, Huarui Wang, Jiexiang Wang, Mingda Ji, Yubo Hou, Minglong Wang, Yuhao Liu, Zhongyu Chen, Qibao Zheng, Ningsheng Xu, Jianfeng Feng:
Digital Twin Brain: a simulation and assimilation platform for whole human brain. - Jyotirmaya Shivottam, Subhankar Mishra:
Tirtha - An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites. - Vincenzo Mariano Scarrica, Ciro Panariello, Alessio Ferone, Antonino Staiano:
A Hybrid Approach To Real-Time Multi-Object Tracking. - Haizheng Li, Laurent Schmalen:
A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing. - Yiming Zhou, Yuexing Peng, Wei Li, Junchuan Yu, Daqing Ge, Wei Xiang:
A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data. - Vincenzo Mariano Scarrica, Antonino Staiano:
Learning Spatial Distribution of Long-Term Trackers Scores. - Anna Fang, Wenjie Yang, Haiyi Zhu:
Shaping Online Dialogue: Examining How Community Rules Affect Discussion Structures on Reddit. - Michael Gableman, Avinash C. Kak:
Incorporating Season and Solar Specificity into Renderings made by a NeRF Architecture using Satellite Images. - Paul Röttger, Hannah Rose Kirk, Bertie Vidgen, Giuseppe Attanasio, Federico Bianchi, Dirk Hovy:
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models. - Guilherme F. C. F. Almeida, José Luiz Nunes, Neele Engelmann, Alex Wiegmann, Marcelo de Araújo:
Exploring the psychology of GPT-4's Moral and Legal Reasoning. - Rebwar Khalid Hamad, Tarik A. Rashid:
Current Studies and Applications of Krill Herd and Gravitational Search Algorithms in Healthcare. - Mahmood Yashar, Tarik A. Rashid:
VAPI: Vectorization of Algorithm for Performance Improvement. - Abubakr S. Issa, Yossra H. Ali, Tarik A. Rashid:
BCDDO: Binary Child Drawing Development Optimization. - Masoumeh Javanbakhat, Christoph Lippert:
A Probabilistic Approach to Self-Supervised Learning using Cyclical Stochastic Gradient MCMC. - Giada Stivala, Sahar Abdelnabi, Andrea Mengascini, Mariano Graziano, Mario Fritz, Giancarlo Pellegrino:
A Large-Scale Study of Phishing PDF Documents. - Md Tamjid Hossain, Hung Manh La, Shahriar Badsha, Anton Netchaev:
BRNES: Enabling Security and Privacy-aware Experience Sharing in Multiagent Robotic and Autonomous Systems. - Aydin Abadi, Dan Ristea, Steven J. Murdoch:
Delegated Time-Lock Puzzle. - Amrita Bhattacharjee, Huan Liu:
Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text? - Martin Josifoski, Lars Henning Klein, Maxime Peyrard, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West:
Flows: Building Blocks of Reasoning and Collaborating AI. - Christian Komusiewicz, Diptapriyo Majumdar:
Enumeration Kernels of Polynomial Size for Cuts of Bounded Degree. - Zhilin Wang, Qin Hu, Minghui Xu, Zeihui Xiong:
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning. - Yan Ma, Weicong Liang, Yiduo Hao, Bohan Chen, Xiangyu Yue, Chao Zhang, Yuhui Yuan:
Revisiting DETR Pre-training for Object Detection. - Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam:
Handling Communication via APIs for Microservices. - Kyle Beadle, Marie Vasek:
Peer Surveillance in Online Communities. - Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke:
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. - Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel C. Briand, Dayi Lin:
TEASMA: A Practical Approach for the Test Assessment of Deep Neural Networks using Mutation Analysis. - Debosmita Bhaumik, Ahmed Khalifa, Julian Togelius:
Lode Encoder: AI-constrained co-creativity. - Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. - Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon:
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. - Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu:
Patched Denoising Diffusion Models For High-Resolution Image Synthesis. - Shawn Xu, Lin Yang, Christopher Kelly, Marcin Sieniek, Timo Kohlberger, Martin Ma, Wei-Hung Weng, Attila Kiraly, Sahar Kazemzadeh, Zakkai Melamed, Jungyeon Park, Patricia Strachan, Yun Liu, Chuck Lau, Preeti Singh, Christina Chen, Mozziyar Etemadi, Sreenivasa Raju Kalidindi, Yossi Matias, Katherine Chou, Gregory S. Corrado, Shravya Shetty, Daniel Tse, Shruthi Prabhakara, Daniel Golden, Rory Pilgrim, Krish Eswaran, Andrew Sellergren:
ELIXR: Towards a general purpose X-ray artificial intelligence system through alignment of large language models and radiology vision encoders. - Farzaneh Tajidini, Mohammad-Javad Kheiri:
Recent advancement in Disease Diagnostic using machine learning: Systematic survey of decades, comparisons, and challenges. - Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He:
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. - Rao Li, Jyotishmoy Deka, Kaushik Deka, Dorothy Li:
An Algorithm for the Constrained Longest Common Subsequence and Substring Problem. - Laurin Wagner, Mario Zusag, Theresa Bloder:
Careful Whisper - leveraging advances in automatic speech recognition for robust and interpretable aphasia subtype classification. - Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang:
EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. - Constantin Philippenko, Aymeric Dieuleveut:
Compressed and distributed least-squares regression: convergence rates with applications to Federated Learning. - Maxime Flin, Magnús M. Halldórsson, Alexandre Nolin:
Fast Coloring Despite Congested Relays. - Michael Carl:
Empirical Translation Process Research: Past and Possible Future Perspectives. - Ni Dong, Shuming Chen, Yina Wu, Yiheng Feng, Xiaobo Liu:
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems. - Dennis Bromley, Vidya Setlur:
What Is the Difference Between a Mountain and a Molehill? Quantifying Semantic Labeling of Visual Features in Line Charts. - Robert Maier, Andreas Schlattl, Thomas Guess, Jürgen Mottok:
CausalOps - Towards an Industrial Lifecycle for Causal Probabilistic Graphical Models. - Eric Tabellion, Nikhil Karnad, Noa Glaser, Ben Weiss, David E. Jacobs, Yael Pritch:
Computational Long Exposure Mobile Photography. - Suryansh Sharma, Ashutosh Simha, R. Venkatesha Prasad, Shubham Deshmukh, Kavin B. Saravanan, Ravi Ramesh, Luca Mottola:
BEAVIS: Balloon Enabled Aerial Vehicle for IoT and Sensing. - Elvys Soares, Manoel Aranda III, Naelson Oliveira, Márcio Ribeiro, Rohit Gheyi, Emerson Souza, Ivan Machado, André L. M. Santos, Baldoino Fonseca, Rodrigo Bonifácio:
Manual Tests Do Smell! Cataloging and Identifying Natural Language Test Smells. - Jumman Hossain, Maliha Momtaz:
Follow the Soldiers with Optimized Single-Shot Multibox Detection and Reinforcement Learning. - Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt:
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. - Masaru Yamada:
Optimizing Machine Translation through Prompt Engineering: An Investigation into ChatGPT's Customizability. - Cora A. Dimmig, Anna Goodridge, Gabriel Baraban, Pupei Zhu, Joyraj Bhowmick, Marin Kobilarov:
A Small Form Factor Aerial Research Vehicle for Pick-and-Place Tasks with Onboard Real-Time Object Detection and Visual Odometry. - Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan:
Learning to Model the World with Language. - Aidan O'Gara:
Hoodwinked: Deception and Cooperation in a Text-Based Game for Language Models. - Janardhan Kulkarni, Victor Reis, Thomas Rothvoss:
Optimal Online Discrepancy Minimization. - Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru:
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles. - Aekta Aggarwal, Helge Holden, Ganesh Vaidya:
Well-posedness and error estimates for coupled systems of nonlocal conservation laws. - Sergio Naval Marimont, Giacomo Tarroni:
Harder synthetic anomalies to improve OoD detection in Medical Images. - Tiezhu Sun, Weiguo Pian, Nadia Daoudi, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein:
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning. - Mingliang Bai, Zhihao Zhou, Ruidong Wang, Yusheng Yang, Zizhen Qin, Yunxiao Chen, Chunjin Mu, Jinfu Liu, Daren Yu:
HouYi: An open-source large language model specially designed for renewable energy and carbon neutrality field. - Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang:
An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model. - Charumathi Badrinath, Weiwei Pan, Finale Doshi-Velez:
SAP-sLDA: An Interpretable Interface for Exploring Unstructured Text. - Elena Agliari, Miriam Aquaro, Francesco Alemanno, Alberto Fachechi:
Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting. - Yeonghun Kang, Jihan Kim:
ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks. - Jonathan Schmidt, Qadeer Khan, Daniel Cremers:
LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels. - Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang:
FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis. - Vladimir Dvorkin, Ferdinando Fioretto:
Price-Aware Deep Learning for Electricity Markets. - Ahmad Mohammadshirazi, Aida Nadafian, Amin Karimi Monsefi, Mohammad Hossein Rafiei, Rajiv Ramnath:
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations. - Saeed Karimi-Bidhendi, Giovanni Geraci, Hamid Jafarkhani:
Optimizing Cellular Networks for UAV Corridors via Quantization Theory. - Michael Neilan, Maxim A. Olshanskii:
An Eulerian finite element method for the linearized Navier-Stokes problem in an evolving domain. - Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox:
A digital twin framework for civil engineering structures. - Cai Yang, Lexing Xie, Siqi Wu:
The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries. - Paul Escapil-Inchauspé, Carlos Jerez-Hanckes:
Shape Uncertainty Quantification for Electromagnetic Wave Scattering via First-Order Sparse Boundary Element Approximation. - Zian Liu, Zhi Zhang, Siqi Ma, Dongxi Liu, Jun Zhang, Chao Chen, Shigang Liu, Muhammad Ejaz Ahmed, Yang Xiang:
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs. - Pierce Howell, Jack Kolb, Yifan Liu, Harish Ravichandar:
The Effects of Robot Motion on Comfort Dynamics of Novice Users in Close-Proximity Human-Robot Interaction. - Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei:
VertexSerum: Poisoning Graph Neural Networks for Link Inference. - Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun:
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. - Florinel-Alin Croitoru, Vlad Hondru, Radu Tudor Ionescu, Mubarak Shah:
Reverse Stable Diffusion: What prompt was used to generate this image? - Rabimba Karanjai, Rowan Collier, Zhimin Gao, Lin Chen, Xinxin Fan, Taeweon Suh, Weidong Shi, Lei Xu:
Decentralized Translator of Trust: Supporting Heterogeneous TEE for Critical Infrastructure Protection. - Andrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan Birchfield:
HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions. - Baber Khalid, Matthew Stone:
Investigating Reinforcement Learning for Communication Strategies in a Task-Initiative Setting. - Gaohang Yu, Jinhong Feng, Zhongming Chen, Xiaohao Cai, Liqun Qi:
A Randomized Block Krylov Method for Tensor Train Approximation. - Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger:
Efficient neural supersampling on a novel gaming dataset. - Chinmay Sahu, Mahesh Banavar, Jie Sun:
Data-Driven Nonlinear TDOA for Accurate Source Localization in Complex Signal Dynamics. - Puning Zhao, Lifeng Lai:
Minimax Optimal Q Learning with Nearest Neighbors. - Blooma John, Ramanathan Subramanian, Jayan Chirayath Kurian:
A Virtual Reality Game to Improve Physical and Cognitive Acuity. - Jingyu Du, Yang Zhao, Hong Cheng:
Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving. - Nicholas Ichien, Dusan Stamenkovic, Keith J. Holyoak:
Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors. - Qi Yang, Joel Jung, Timon Deschamps, Xiaozhong Xu, Shan Liu:
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations. - Minh Pham, Kelly O. Marshall, Chinmay Hegde:
Circumventing Concept Erasure Methods For Text-to-Image Generative Models. - Jiahui Li, Geng Sun, Lingjie Duan, Qingqing Wu:
Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays. - Hangcheng Liu, Tao Xiang, Shangwei Guo, Han Li, Tianwei Zhang, Xiaofeng Liao:
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding. - Xiyuan Liu, Qingqing Wu, Die Hu, Rui Wang, Jun Wu:
Hierarchical Codebook Design and Analytical Beamforming Solution for IRS Assisted Communication. - Rui Zhao, Zhongze Yang, Dong Liang, Fan Xue:
Automated Machine Learning in the smart construction era: Significance and accessibility for industrial classification and regression tasks. - Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim:
Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. - Cong Zhang, Honggang Qi, Yuezun Li, Siwei Lyu:
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection. - Liang Wang, Xiaogang Wang:
PPI-NET: End-to-End Parametric Primitive Inference. - Jiyoung Lee, Seungho Kim, Seunghyun Won, Joonseok Lee, Marzyeh Ghassemi, James Thorne, Jaeseok Choi, O.-Kil Kwon, Edward Choi:
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. - Kun Li, Dan Guo, Guoliang Chen, Feiyang Liu, Meng Wang:
Data Augmentation for Human Behavior Analysis in Multi-Person Conversations. - Navya Annapareddy, Yingzheng Liu, Judy Fox:
Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain. - Hongkuan Zhang, Qiyuan Wang, Mathias Fink, Guancong Ma:
Optimizing multi-user sound communications in reverberating environments with acoustic reconfigurable metasurfaces. - Jiazheng Xing, Mengmeng Wang, Xiaojun Hou, Guang Dai, Jingdong Wang, Yong Liu:
Multimodal Adaptation of CLIP for Few-Shot Action Recognition. - Biru Zhang, Jiankun Wang, Max Q.-H. Meng:
Multi-robot Path Planning with Rapidly-exploring Random Disjointed-Trees. - Sami Davies, Benjamin Moseley, Heather Newman:
One Partition Approximating All 𝓁p-norm Objectives in Correlation Clustering. - Hancheng Cao, Sofia Eleni Spatharioti, Daniel G. Goldstein, Jake M. Hofman:
Comparing scalable strategies for generating numerical perspectives. - Sanghyeon Na:
MFIM: Megapixel Facial Identity Manipulation. - Yang Liu, Zhaoyang Xia, Mengyang Zhao, Donglai Wei, Yuzheng Wang, Siao Liu, Bobo Ju, Gaoyun Fang, Jing Liu, Liang Song:
Learning Causality-inspired Representation Consistency for Video Anomaly Detection. - Rahma Mukta, Rue C. Teh, Hye-young Paik, Qinghua Lu, Salil S. Kanhere:
VCTP: A Verifiable Credential-based Trust Propagation Protocol for Personal Issuers in Self-Sovereign Identity Platforms. - Ziheng Huang, Sebastian Gutierrez, Hemanth Kamana, Stephen MacNeil:
Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents. - Debosmita Bhaumik, Julian Togelius, Georgios N. Yannakakis, Ahmed Khalifa:
Lode Enhancer: Level Co-creation Through Scaling. - Sarah Schwettmann, Neil Chowdhury, Antonio Torralba:
Multimodal Neurons in Pretrained Text-Only Transformers. - Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies. - Haoqi Wang, Zhizhong Li, Wayne Zhang:
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation. - Wenkai Yang, Ruihang Ji, Yuxiang Zhang, Hao Lei, Zijie Zhao:
Avoidance Navigation Based on Offline Pre-Training Reinforcement Learning. - Po-Lin Chen, Cheng-Shang Chang:
InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent. - Maxime Vaidis, William Dubois, Effie Daum, Damien LaRocque, François Pomerleau:
Uncertainty analysis for accurate ground truth trajectories with robotic total stations. - Charitha Saumya, Rohan Gangaraju, Kirshanthan Sundararajah, Milind Kulkarni:
Targeted Control-flow Transformations for Mitigating Path Explosion in Dynamic Symbolic Execution. - Zhe Zhang, Wei Chai, Jiankun Wang:
Mani-GPT: A Generative Model for Interactive Robotic Manipulation. - Zhengyang Zhang, Wei Dong, Jun Liu, Xinya Sun, Yindong Ji:
A Global Transport Capacity Risk Prediction Method for Rail Transit Based on Gaussian Bayesian Network. - João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. - Md. Ferdous Pervej, Richeng Jin, Huaiyu Dai:
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity. - Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi:
Density Weighting for Multi-Interest Personalized Recommendation. - Otmane Sakhi, David Rohde, Nicolas Chopin:
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. - Shili Zhou, Xuhao Jiang, Weimin Tan, Ruian He, Bo Yan:
MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior. - Myeongjin Ko, Yong-Hoon Choi:
Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS. - Andreas Björklund, Petteri Kaski, Jesper Nederlof:
Another Hamiltonian Cycle in Bipartite Pfaffian Graphs. - Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. - Francesco Della Pietra, Giovanni Fantuzzi, Liviu I. Ignat, Alba Lia Masiello, Gloria Paoli, Enrique Zuazua:
Finite element approximation of the Hardy constant. - Patsita Sirawongphatsara, Phisit Pornpongtechavanich, Pakkasit Sriamorntrakul, Therdpong Daengsi:
Analyzing Bank Account Information of Nominees and Scammers. - Longxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li:
Consistency Regularization for Generalizable Source-free Domain Adaptation. - Dimosthenis C. Tsouros, Hélène Verhaeghe, Serdar Kadioglu, Tias Guns:
Holy Grail 2.0: From Natural Language to Constraint Models. - Kyungryun Lee, Won-Ki Jeong:
Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models. - Stefano Borgo, Roberta Ferrario, Aldo Gangemi, Nicola Guarino, Claudio Masolo, Daniele Porello, Emilio M. Sanfilippo, Laure Vieu:
DOLCE: A Descriptive Ontology for Linguistic and Cognitive Engineering. - Daniel Lokshtanov, Pranabendu Misra, Fahad Panolan, M. S. Ramanujan, Saket Saurabh, Meirav Zehavi:
Meta-theorems for Parameterized Streaming Algorithms. - Shihan Lu, Heather Culbertson:
Active Acoustic Sensing for Robot Manipulation. - Nicola Rares Franco, Stefania Fresca, Filippo Tombari, Andrea Manzoni:
Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks. - Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman:
IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning. - Liang Peng, Xin Wang, Xiaofeng Zhu:
Unsupervised Multiplex Graph Learning with Complementary and Consistent Information. - Ahmed Eleliemy, Florina M. Ciorba:
DaphneSched: A Scheduler for Integrated Data Analysis Pipelines. - Lu Zeng, Xuan Chen, Xiaoshuang Shi, Heng Tao Shen:
Feature Noise Boosts DNN Generalization under Label Noise. - Alexander Sommer, Ulrich Schwanecke, Elmar Schömer:
Real-time Light Estimation and Neural Soft Shadows for AR Indoor Scenarios. - Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing Systematic Weaknesses of DNNs using Counterfactuals. - Peng Wang, Fanwei Zeng, Yuntao Qian:
A Survey on Deep Learning-based Spatio-temporal Action Detection. - Yao Liu, Hang Shao, Bing Bai:
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry. - Kaer Huang, Bingchuan Sun, Feng Chen, Tao Zhang, Jun Xie, Jian Li, Christopher Walter Twombly, Zhepeng Wang:
ReIDTrack: Multi-Object Track and Segmentation Without Motion. - Alexandru Motogna, Adrian Groza:
Interleaving GANs with knowledge graphs to support design creativity for book covers. - Alexander Sommer, Ulrich Schwanecke, Elmar Schömer:
Interactive High-Resolution Simulation of Granular Material. - Zhengzheng Tu, Qishun Wang, Hongshun Wang, Kunpeng Wang, Chenglong Li:
Erasure-based Interaction Network for RGBT Video Object Detection and A Unified Benchmark. - Alexander Sommer, Ulrich Schwanecke:
LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations. - Guanzhou Ke, Yang Yu, Guoqing Chao, Xiaoli Wang, Chenyang Xu, Shengfeng He:
Disentangling Multi-view Representations Beyond Inductive Bias. - Aaron Brunk, Herbert Egger, Oliver Habrich:
A second-order structure-preserving discretization for the Cahn-Hilliard/Allen-Cahn system with cross-kinetic coupling. - Aofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang:
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection. - Nikolaos Misirlis:
I am a global citizen. Or am I not? International Business Schools students and Global Citizenship unified framework & a scoping literature review of the last decade (2013-2022). - Felix Schwickerath, Nicolas Boltz, Sebastian Hahner, Maximilian Walter, Christopher Gerking, Robert Heinrich:
Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality. - Andalib Shams, Christopher M. Day:
Impact of Sensing Range on Real-Time Adaptive Control of Signalized Intersections Using Vehicle Trajectory Information. - Yu Ishihara, Yuichi Hazama, Kousuke Suzuki, Jerry Jun Yokono, Kohtaro Sabe, Kenta Kawamoto:
Improving Wind Resistance Performance of Cascaded PID Controlled Quadcopters using Residual Reinforcement Learning. - Rémi Leluc, Elie Kadoche, Antoine Bertoncello, Sébastien Gourvénec:
MARLIM: Multi-Agent Reinforcement Learning for Inventory Management. - Minhao Zou, Zhongxue Gan, Yutong Wang, Junheng Zhang, Dongyan Sui, Chun Guan, Siyang Leng:
UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification. - Pasquale Claudio Africa, Roberto Piersanti, Francesco Regazzoni, Michele Bucelli, Matteo Salvador, Marco Fedele, Stefano Pagani, Luca Dede', Alfio Quarteroni:
lifex-ep: a robust and efficient software for cardiac electrophysiology simulations. - Mehdi Testouri, Gamal Elghazaly, Raphaël Frank:
Towards a Safe Real-Time Motion Planning Framework for Autonomous Driving Systems: An MPPI Approach. - Jianxin Lin, Peng Xiao, Yijun Wang, Rongju Zhang, Xiangxiang Zeng:
DiffColor: Toward High Fidelity Text-Guided Image Colorization with Diffusion Models. - Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu:
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. - Ivo S. Fins, Heather Davies, Sean Farrell, Jose R. Torres, Gina L. Pinchbeck, Alan D. Radford, Peter-John Noble:
Evaluating ChatGPT text-mining of clinical records for obesity monitoring. - Shixin Chen, Shanyi Li, Zhen Zhuang, Su Zheng, Zheng Liang, Tsung-Yi Ho, Bei Yu, Alberto L. Sangiovanni-Vincentelli:
Floorplet: Performance-aware Floorplan Framework for Chiplet Integration. - Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen:
End-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control. - Lukas Sohlbach, Hamza Hobbani, Chistopher Blase, Fernando Perez-Peña, Karsten Schmidt:
Modelling and simulation of a commercially available dielectric elastomer actuator. - Guillaume Baudart, Louis Mandel, Christine Tasson:
Density-Based Semantics for Reactive Probabilistic Programming. - Shaina Raza, Muskan Garg, Deepak John Reji, Syed Raza Bashir, Chen Ding:
NBIAS: A Natural Language Processing Framework for Bias Identification in Text. - Claudio Borile, Alan Perotti, André Panisson:
Evaluating Link Prediction Explanations for Graph Neural Networks. - Zheyu Zhang, Han Yang, Bolei Ma, David Rügamer, Ercong Nie:
Baby's CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models. - Zhiwei Zhang, Zhizhong Zhang, Qian Yu, Ran Yi, Yuan Xie, Lizhuang Ma:
LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment. - Sergei Garmaev, Olga Fink:
Deep Koopman Operator-based degradation modelling. - Yinwei Du, Yue Li, Stelian Coros, Bernhard Thomaszewski:
No Free Slide: Spurious Contact Forces in Incremental Potential Contact. - Yuhang Zhou, Jiangchao Yao, Feng Hong, Ya Zhang, Yanfeng Wang:
Balanced Destruction-Reconstruction Dynamics for Memory-replay Class Incremental Learning. - Seyed Muhammad Hossein Mousavi, Atiye Ilanloo:
Bees Local Phase Quantization Feature Selection for RGB-D Facial Expressions Recognition. - Alex Kovács, István András Seres:
Anonymity Analysis of the Umbra Stealth Address Scheme on Ethereum. - Robert J. Kunsch, Erich Novak, Marcin Wnuk:
Randomized approximation of summable sequences - adaptive and non-adaptive. - Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis:
Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. - Roberto Rojas-Cessa:
Experiments on Computer Networks: Quickly Knowing the Protocols in the TCP/IP Suite. - James Timothy Meech, Vasileios Tsoutsouras, Phillip Stanley-Marbell:
The Data Movement Bottleneck: Theoretical Shortcomings of Analog Optical Fourier Transform and Convolution Computing Accelerators. - Shichao Dong, Guosheng Lin:
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations. - Jürgen Lerner, Marian-Gabriel Hâncean, Alessandro Lomi:
Relational hyperevent models for the coevolution of coauthoring and citation networks. - Iana Zhura, Denis Davletshin, Nipun Dhananjaya Weerakkodi Mudalige, Aleksey Fedoseev, Robinroy Peter, Dzmitry Tsetserukou:
NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot. - V. K. Cody Bumgardner, Aaron D. Mullen, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert:
Local Large Language Models for Complex Structured Medical Tasks. - Katarína Tóthová, Lubor Ladicky, Daniel Thul, Marc Pollefeys, Ender Konukoglu:
Quantification of Predictive Uncertainty via Inference-Time Sampling. - Christian Jilek, Markus Schröder, Heiko Maus, Sven Schwarz, Andreas Dengel:
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories. - Ivan Prusak, Davide Torlo, Monica Nonino, Gianluigi Rozza:
An optimisation-based domain-decomposition reduced order model for parameter-dependent non-stationary fluid dynamics problems.