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ORCIDCoRR, February 2023
- Anirudh Rayas, Rajasekhar Anguluri, Jiajun Cheng, Gautam Dasarathy:
Differential Analysis for Networks Obeying Conservation Laws. - Cenk Baykal, Dylan J. Cutler, Nishanth Dikkala, Nikhil Ghosh, Rina Panigrahy, Xin Wang:
The Power of External Memory in Increasing Predictive Model Capacity. - Pierre Larrenie, Jean-François Bercher
, Olivier Venard, Iyad Lahsen Cherif:
Low Complexity Approaches for End-to-End Latency Prediction. - Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez:
On the Within-Group Discrimination of Screening Classifiers. - Mehedi Hasan Raju, Lee Friedman, Troy M. Bouman, Oleg V. Komogortsev:
Determining Which Sine Wave Frequencies Correspond to Signal and Which Correspond to Noise in Eye-Tracking Time-Series. - Deniz Oktay, Mehran Mirramezani, Eder Medina, Ryan P. Adams:
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity. - Isaque Alves, Jorge Pérez, Jessica Díaz, Daniel López-Fernández, Manuel Pais, Fabio Kon, Carla Rocha:
Harmonizing DevOps Taxonomies - Theory Operationalization and Testing. - Julien Grand-Clément, Marek Petrik:
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor. - Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni:
Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees. - Riya Dutta, Diego Elias Costa, Emad Shihab, Tanja Tajmel:
Diversity Awareness in Software Engineering Participant Research. - Nathan Gaby, Xiaojing Ye, Haomin Zhou:
Neural Control of Parametric Solutions for High-dimensional Evolution PDEs. - Kshitij Goel, Nathan Michael, Wennie Tabib:
Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models. - Simon Geisler, Yujia Li, Daniel J. Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru:
Transformers Meet Directed Graphs. - Subhash Bhagat, Andrzej Pelc:
Exploring Wedges of an Oriented Grid by an Automaton with Pebbles. - Alessandro Guidotti, Alessandro Vanelli-Coralli, Carla Amatetti:
Federated Cell-Free MIMO in Non-Terrestrial Networks: Architectures and Performance. - Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard:
Graph-based Time-Series Anomaly Detection: A Survey. - Alexandre Heuillet, Hedi Tabia, Hichem Arioui:
NASiam: Efficient Representation Learning using Neural Architecture Search for Siamese Networks. - Rui Oliveira, Siddharth H. Nair, Bo Wahlberg:
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control. - Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen:
Dynamic Flows on Curved Space Generated by Labeled Data. - Rhys Howard, Lars Kunze:
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour. - Mahsa Doosthosseini, Mahdi Khajeh Talkhoncheh, Jeffrey L. Silberberg, Sandy Weininger, Hamed Ghods:
Hybrid Cathode Lithium Battery Discharge Simulation for Implantable Cardioverter Defibrillators Using a Coupled Electro-Thermal Dynamic Model. - Ching-Yao Chuang, Varun Jampani, Yuanzhen Li, Antonio Torralba, Stefanie Jegelka:
Debiasing Vision-Language Models via Biased Prompts. - João Henrique Inacio de Souza, Victor Croisfelt, Fabio Saggese, Taufik Abrão, Petar Popovski:
Randomized Control of Wireless Temporal Coherence via Reconfigurable Intelligent Surface. - Cuong Tran, Ferdinando Fioretto:
Personalized Privacy Auditing and Optimization at Test Time. - Noyan Evirgen, Xiang 'Anthony' Chen:
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks. - Yuanhao Li, Badong Chen, Okito Yamashita, Natsue Yoshimura, Yasuharu Koike:
Adaptive sparseness for correntropy-based robust regression via automatic relevance determination. - Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham:
In-Context Retrieval-Augmented Language Models. - Lucas Valença, Ian Maquignaz, Hadi Moazen, Rishikesh Madan, Yannick Hold-Geoffroy, Jean-François Lalonde:
LM-GAN: A Photorealistic All-Weather Parametric Sky Model. - Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. - Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. - Son Quoc Tran, Phong Nguyen-Thuan Do, Uyen Le, Matt Kretchmar:
The Impacts of Unanswerable Questions on the Robustness of Machine Reading Comprehension Models. - Sarabjeet Singh, Xiong Fan, Ananth Krishna Prasad, Lin Jia, Anirban Nag, Rajeev Balasubramonian, Mahdi Nazm Bojnordi, Elaine Shi:
XCRYPT: Accelerating Lattice Based Cryptography with Memristor Crossbar Arrays. - Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, Adam Perer:
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care. - Simiao Ren, Yang Deng, Willie J. Padilla, Leslie M. Collins, Jordan M. Malof:
Deep Active Learning for Scientific Computing in the Wild. - Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla:
Learning noisy-OR Bayesian Networks with Max-Product Belief Propagation. - Martin Veresko, Ming-Cheng Cheng:
Physics-informed Reduced-Order Learning from the First Principles for Simulation of Quantum Nanostructures. - Melanie Subbiah, Amrita Bhattacharjee, Bobby Yilun Hua, Tharindu Kumarage, Huan Liu, Kathleen R. McKeown:
Detecting Harmful Agendas in News Articles. - Changlong Wu, Ananth Grama, Wojciech Szpankowski:
Online Learning in Dynamically Changing Environments. - Yuxi Zhao, Xiaowen Gong, Shiwen Mao:
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling. - Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu:
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization. - Yilun Du, Mengjiao Yang, Bo Dai, Hanjun Dai, Ofir Nachum, Joshua B. Tenenbaum, Dale Schuurmans, Pieter Abbeel:
Learning Universal Policies via Text-Guided Video Generation. - Anna Mpanti, Stavros D. Nikolopoulos, Leonidas Palios:
Adding an Edge in a P4-sparse Graph. - Prince E. Kuevor, Maani Ghaffari, Ella M. Atkins, James W. Cutler:
Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression. - Dawson Fox, Jose Monsalve Diaz, Xiaoming Li:
On Memory Codelets: Prefetching, Recoding, Moving and Streaming Data. - Camille Phiquepal, Marc Toussaint:
Control-Tree Optimization: an approach to MPC under discrete Partial Observability. - Mahdieh Yazdani, Maziar Raissi:
Real Estate Property Valuation using Self-Supervised Vision Transformers. - Bryan Zhang, Amita Misra:
Machine Translation Impact in E-commerce Multilingual Search. - Xi Wu, Joe Benassi, Yaqi Zhang, Uyeong Jang, James Foster, Stella Kim, Yujing Sun, Somesh Jha, John Cieslewicz, Jeffrey F. Naughton:
Holistic Cube Analysis: A Query Framework for Data Insights. - Peipei Lu, Wei Wang, Guido Kanschat, Andreas Rupp:
Homogeneous multigrid method for HDG applied to the Stokes equation. - Charles Dawson, Ashkan Jasour, Andreas G. Hofmann, Brian C. Williams:
Chance-Constrained Trajectory Optimization for High-DOF Robots in Uncertain Environments. - Lei Li, Tianfang Zhang, Zhongfeng Kang, Wenhan Zhang:
Design and Implementation of A Soccer Ball Detection System with Multiple Cameras. - Usman Anjum, Vladimir Zadorozhny, Prashant Krishnamurthy:
TBAM: Towards An Agent-Based Model to Enrich Twitter Data. - Fermín Moscoso del Prado Martín:
Universal Topological Regularities of Syntactic Structures: Decoupling Efficiency from Optimization. - Bin Fu, Yumei Huo, Hairong Zhao:
Sublinear Approximation Schemes for Scheduling Precedence Graphs of Bounded Depth. - Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian A. Scherer:
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation. - Prasad Jayanti, Siddhartha Jayanti, Sucharita Jayanti:
Durable Algorithms for Writable LL/SC and CAS with Dynamic Joining. - Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov:
Learning Topology-Preserving Data Representations. - Omead Pooladzandi, Pasha Khosravi, Erik Nijkamp, Baharan Mirzasoleiman:
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization. - Jesús Bonilla, Juan Vicente Gutiérrez-Santacreu:
Exploring numerical blow-up phenomena for the Keller-Segel-Navier-Stokes equations. - Joshua P. Zitovsky, Daniel de Marchi, Rishabh Agarwal, Michael R. Kosorok:
Revisiting Bellman Errors for Offline Model Selection. - Yuesheng Xu:
Multi-Grade Deep Learning. - Subash Neupane, Ivan A. Fernandez, Wilson Patterson, Sudip Mittal, Milan D. Parmar, Shahram Rahimi:
TwinExplainer: Explaining Predictions of an Automotive Digital Twin. - Abel C. H. Chen:
How to Prove the Optimized Values of Hyperparameters for Particle Swarm Optimization? - (Withdrawn) Fairness-aware Cross-Domain Recommendation.
- Hrushikesh Narhar Mhaskar, Ryan O'Dowd:
Local transfer learning from one data space to another. - Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin:
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Amin Farajzadeh, Animesh Yadav, Omid Abbasi, Wael Jaafar, Halim Yanikomeroglu:
FLSTRA: Federated Learning in Stratosphere. - Gerardo Antonio Alvarez Hernández, Juan Carlos Olguín-Rojas, Juan Irving Vasquez-Gomez, Abril Valeria Uriarte-Arcia, Maria Claudia Villicaña Torres:
Detection of Tomato Ripening Stages using Yolov3-tiny. - Alexander Núñez, Joseph Ayoka, Md Zahidul Islam, Pablo Ruiz:
A Brief Overview of Software-Defined Networking. - Foad Najafi, Matthias Fripp:
Market-Based Coordination of Price-Responsive Demand Using Dantzig-Wolfe Decomposition Method. - Ella Kokinda, Paige Rodeghero:
Streaming Software Development: Accountability, Community, and Learning. - Yusuke Hatanaka, Yannik Glaser, Geoff Galgon, Giuseppe Torri, Peter Sadowski:
Diffusion Models for High-Resolution Solar Forecasts. - Haimin Hu, David Isele, Sangjae Bae, Jaime F. Fisac:
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach. - Ella Kokinda, Makayla Moster, Paige Rodeghero:
Under the Bridge: Trolling and the Challenges of Recruiting Software Developers for Empirical Research Studies. - Anthony Manchin, Jamie Sherrah, Qi Wu, Anton van den Hengel:
Program Generation from Diverse Video Demonstrations. - Guanqi Ding, Xinzhe Han, Shuhui Wang, Xin Jin, Dandan Tu, Qingming Huang:
Stable Attribute Group Editing for Reliable Few-shot Image Generation. - Hugh Daigle, Joshua D. Rhodes, Michael E. Webber, Aidan Pyrcz:
Optimal timing for power plant maintenance in the Electricity Reliability Council of Texas in a changing climate. - Meng Zhao, Yonggang Ma, Qian Zhang, Jizong Zhao:
Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease. - John E. Miller, Johann-Mattis List:
Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists. - Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation. - Alexander Lew, Sydney Thompson, Nathan Tsoi, Marynel Vázquez:
Shutter, the Robot Photographer: Leveraging Behavior Trees for Public, In-the-Wild Human-Robot Interactions. - Xiao Shi, Yun Shang:
Density peak clustering using tensor network. - Zeyu Zhu, Fanrong Li, Zitao Mo, Qinghao Hu, Gang Li, Zejian Liu, Xiaoyao Liang, Jian Cheng:
A2Q: Aggregation-Aware Quantization for Graph Neural Networks. - Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. - Lei Guan:
Weight Prediction Boosts the Convergence of AdamW. - Rafael M. Frongillo, Maneesha Papireddygari, Bo Waggoner:
An Axiomatic Characterization of CFMMs and Equivalence to Prediction Markets. - Farshid Keivanian, Raymond Chiong, Ali R. Kashani, Amir H. Gandomi:
A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls. - J. Nathaniel Holmes, Homayoon S. M. Beigi:
A Transaction Represented with Weighted Finite-State Transducers. - Wenhao Sun, Zhiwei Zou, Deng Liu, Wendi Sun, Song Chen, Yi Kang:
Bit-balance: Model-Hardware Co-design for Accelerating NNs by Exploiting Bit-level Sparsity. - Yong Xiao, Rong Xia, Yingyu Li, Guangming Shi, Diep N. Nguyen, Dinh Thai Hoang, Dusit Niyato, Marwan Krunz:
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach. - Bo-Han Kung, Shang-Tse Chen:
QCRS: Improve Randomized Smoothing using Quasi-Concave Optimization. - Haoran Zhu, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Lei Han, Zhi Chen:
Is Stubborn Mining Severe in Imperfect GHOST Bitcoin-like Blockchains? Quantitative Analysis. - Renan Guarese, Emma Pretty, Haytham M. Fayek, Fabio Zambetta, Ron G. van Schyndel:
Evoking empathy with visually impaired people through an augmented reality embodiment experience. - Eden Chlamtác, Yury Makarychev, Ali Vakilian:
Approximating Red-Blue Set Cover. - Bingqi Shen, Yuyin Chen, Fuzhang Han, Shuwei Dai, Rong Xiong, Yue Wang:
EMV-LIO: An Efficient Multiple Vision aided LiDAR-Inertial Odometry. - Gopika P. B., Nishant Ranwan, Nagaiah Chamakuri:
Residual-Based a Posteriori Error Estimator for a Multi-scale Cancer Invasion Model. - Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla:
Knowledge Distillation on Graphs: A Survey. - Yassine Barhoumi, Nidhal C. Bouaynaya, Ghulam Rasool:
Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. - Xi Wang, Ramya Penta, Bhavya Sehgal, Dale Chen-Song:
Human Fall Detection- Multimodality Approach. - Elif Keles, Ulas Bagci:
The Past, Current, and Future of Neonatal Intensive Care Units with Artificial Intelligence. - Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
SPIDE: A Purely Spike-based Method for Training Feedback Spiking Neural Networks. - Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu:
Generative Adversarial Symmetry Discovery. - Amartya Mukherjee, Jun Liu:
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO). - Chen Chen, Dylan Walker, Venkatesh Saligrama:
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. - Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu:
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging. - Aviv Adler, Oren Gal, Sertac Karaman:
Agility and Target Distribution in the Dynamic Stochastic Traveling Salesman Problem. - Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu:
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. - Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin:
TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation. - Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang:
A Nearly-Optimal Bound for Fast Regression with 𝓁∞ Guarantee. - Minghan Fu, Fang-Xiang Wu:
QLAB: Quadratic Loss Approximation-Based Optimal Learning Rate for Deep Learning. - Oliver Biggar, Iman Shames:
The Attractor of the Replicator Dynamic in Zero-Sum Games. - Mo Zhou, Rong Ge:
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. - Hanyu Zhang, Samson J. Koelle, Marina Meila:
Dictionary-based Manifold Learning. - Halvard Hummel:
On Lower Bounds for Maximin Share Guarantees. - Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun:
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection. - Mengdi Li, Xufeng Zhao, Jae Hee Lee, Cornelius Weber, Stefan Wermter:
Internally Rewarded Reinforcement Learning. - Gaolei Li, Yuanyuan Zhao, Yi Li:
CATFL: Certificateless Authentication-based Trustworthy Federated Learning for 6G Semantic Communications. - (Withdrawn) W2SAT: Learning to generate SAT instances from Weighted Literal Incidence Graphs.
- Lukas Haas, Silas Alberti, Michal Skreta:
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization. - David M. Cerna, Temur Kutsia:
Anti-unification and Generalization: A Survey. - Runhua Zhang, Hongxu Jiang, Fangzheng Tian, Jinkun Geng, Xiaobin Li, Yuhang Ma, Chenhui Zhu, Dong Dong, Xin Li, Haojie Wang:
Xenos: Dataflow-Centric Optimization to Accelerate Model Inference on Edge Devices. - Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Anshuka Rangi:
Selective Uncertainty Propagation in Offline RL. - Ronen Gradwohl, Moshe Tennenholtz:
Selling Data to a Competitor. - Kin Wai Cheuk, Keunwoo Choi, Qiuqiang Kong, Bochen Li, Minz Won, Ju-Chiang Wang, Yun-Ning Hung, Dorien Herremans:
Jointist: Simultaneous Improvement of Multi-instrument Transcription and Music Source Separation via Joint Training. - Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Tao Xie, Qianxiang Wang:
CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. - Yinghui Xing, Song Wang, Guoqiang Liang, Qingyi Li, Xiuwei Zhang, Shizhou Zhang, Yanning Zhang:
Multispectral Pedestrian Detection via Reference Box Constrained Cross Attention and Modality Balanced Optimization. - Whencheng Zhang, Chengyi Wang:
Development of Real-time Rendering Technology for High-Precision Models in Autonomous Driving. - Gaël Gendron, Michael Witbrock, Gillian Dobbie:
A Survey of Methods, Challenges and Perspectives in Causality. - Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini, Alberto Cazzaniga:
The geometry of hidden representations of large transformer models. - Meng Wei, Zhongnian Li, Yong Zhou, Qiaoyu Guo, Xinzheng Xu:
Learning from Stochastic Labels. - Wenhao Zhang, Ji He, Yulong Shen, Xiaohong Jiang:
Covert Communication in Hybrid Microwave/mmWave A2G Systems with Transmission Mode Selection. - Jian Dong, Yisong Yu, Yapeng Zhang, Yimin Lv, Shuli Wang, Beihong Jin, Yongkang Wang, Xingxing Wang, Dong Wang:
A Deep Behavior Path Matching Network for Click-Through Rate Prediction. - Devin Balian, Melina Merkel, Jörg Ostrowski, Herbert De Gersem, Sebastian Schöps:
Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators. - Seong-Eun Moon, Ji Won Yoon, Shinyoung Joo, Yoohyung Kim, Jae-Hyun Bae, Seokho Yoon, Haanju Yoo, Young Min Cho:
Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches. - Amir Sartipi, Meghdad Dehghan, Afsaneh Fatemi:
An Evaluation of Persian-English Machine Translation Datasets with Transformers. - Bo Li, Hervé Moulin, Ankang Sun, Yu Zhou:
On Hill's Worst-Case Guarantee for Indivisible Bads. - Nico Puhlmann, Alexander Wiesmaier, Andreas Heinemann:
Privacy Dashboards for Citizens and GDPR Services for Small Data Holders: A Literature Review. - Alix Auzepy, Elena Tönjes, David Lenz, Christoph Funk:
Evaluating TCFD Reporting: A New Application of Zero-Shot Analysis to Climate-Related Financial Disclosures. - Mathieu Chalvidal, Thomas Serre, Rufin VanRullen:
Learning Functional Transduction. - Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi, Bowen Xu, Xin Zhou, DongGyun Han, David Lo:
Prioritizing Speech Test Cases. - Abhishek Sharma, Arpit Jain, Shubhangi Sharma, Ashutosh Gupta, Prateek Jain, Saraju P. Mohanty:
iPAL: A Machine Learning Based Smart Healthcare Framework For Automatic Diagnosis Of Attention Deficit/Hyperactivity Disorder (ADHD). - Mats G. Larson, Anders Logg, Carl Lundholm:
Space-Time CutFEM on Overlapping Meshes: Simple Continuous Mesh Motion. - Yousri Daldoul:
A Robust Certificate Management System to Prevent Evil Twin Attacks in IEEE 802.11 Networks. - Zeping Min:
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture. - Michael Taylor:
Slow, slow, quick, quick, slow: five altmetric sources observed over a decade show evolving trends, by research age, attention source maturity and open access status. - Sarwan Ali, Prakash Chourasia, Murray Patterson:
Anderson Acceleration For Bioinformatics-Based Machine Learning. - Julia Schleuß, Kathrin Smetana:
DEIM vs. leverage scores for time-parallel construction of problem-adapted basis functions. - Mert Kilickaya, Joost van de Weijer, Yuki M. Asano:
Towards Label-Efficient Incremental Learning: A Survey. - Marc Van Barel, Niel Van Buggenhout, Raf Vandebril:
Algorithms for Modifying Recurrence Relations of Orthogonal Polynomial and Rational Functions when Changing the Discrete Inner Product. - (Withdrawn) Bandit Convex Optimisation Revisited: FTRL Achieves O(t1/2) Regret.
- Alexis Baudin, Clémence Magnien, Lionel Tabourier:
Faster maximal clique enumeration in large real-world link streams. - Pedro Henrique Exenberger Becker, José-María Arnau, Antonio González:
K-D Bonsai: ISA-Extensions to Compress K-D Trees for Autonomous Driving Tasks. - Martin Oehler, Oskar von Stryk:
A Flexible Framework for Virtual Omnidirectional Vision to Improve Operator Situation Awareness. - Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi:
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification. - Kuldeep S. Gill, Pawel Kryszkiewicz, Pawel Sroka, Adrian Kliks, Alexander M. Wyglinski:
Memory Enabled Bumblebee-based Dynamic Spectrum Access for Platooning Environments. - Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou:
Simple yet Effective Gradient-Free Graph Convolutional Networks. - Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Autobidding Auctions in the Presence of User Costs. - Mohammad Akbar-Tajari, Sara Rajaee, Mohammad Taher Pilehvar:
An Empirical Study on the Transferability of Transformer Modules in Parameter-Efficient Fine-Tuning. - Mohit Sharma, Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Ingrid Hotz, Vijay Natarajan:
Continuous Scatterplot Operators for Bivariate Analysis and Study of Electronic Transitions. - Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov:
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Yue Feng, Georg Maierhofer, Katharina Schratz:
Long-time error bounds of low-regularity integrators for nonlinear Schrödinger equations. - Marie-Morgane Paumard, Hedi Tabia, David Picard:
Alphazzle: Jigsaw Puzzle Solver with Deep Monte-Carlo Tree Search. - Kaiheng Weng, Xiangxiang Chu, Xiaoming Xu, Junshi Huang, Xiaoming Wei:
EfficientRep: An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design. - Sean Nassimiha, Peter Dudfield, Jack Kelly, Marc Peter Deisenroth, So Takao:
Short-term Prediction and Filtering of Solar Power Using State-Space Gaussian Processes. - Muhammad Arslan Manzoor, Sarah Albarri, Ziting Xian, Zaiqiao Meng, Preslav Nakov, Shangsong Liang:
Multimodality Representation Learning: A Survey on Evolution, Pretraining and Its Applications. - Susie Xi Rao, Peter H. Egger, Ce Zhang:
Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning. - Lala Shakti Swarup Ray, Bo Zhou, Sungho Suh, Paul Lukowicz:
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation. - Xutong Liu, Shiran Liu, Zhaoqiang Guo, Peng Zhang, Yibiao Yang, Huihui Liu, Hongmin Lu, Yanhui Li, Lin Chen, Yuming Zhou:
Toward a consistent performance evaluation for defect prediction models. - Alessandro Casadei, Stephan Schlögl, Markus Bergmann:
Chatbots for Robotic Process Automation: Investigating Perceived Trust and User Satisfaction. - Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou:
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. - Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. - Olia Toporkov, Rodrigo Agerri:
On the Role of Morphological Information for Contextual Lemmatization. - Léo Laugier, Thomas Bonald, Lucas Dixon, Raghuram Vadapalli:
KNNs of Semantic Encodings for Rating Prediction. - Melanie Kircheis, Daniel Potts:
Fast and direct inversion methods for the multivariate nonequispaced fast Fourier transform. - Zhuolun Li, Alberto Sonnino, Philipp Jovanovic:
Performance of EdDSA and BLS Signatures in Committee-Based Consensus. - Zihao Pan, Kai Peng, Shuai Ling, Haipeng Zhang:
For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network. - Fengqing Hu, Huan Yu:
Safety-Critical Lane-Change Control for CAV Platoons in Mixed Autonomy Traffic Using Control Barrier Functions. - Monisha Singh, Ximi Hoque, Donghuo Zeng, Yanan Wang, Kazushi Ikeda, Abhinav Dhall:
Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines. - Ilona Cieslik, Víctor Juan Expósito Jiménez, Helmut Martin, Heiko Scharke, Hannes Schneider:
State of the Art Study of the Safety Argumentation Frameworks for Automated Driving System Safety. - Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota:
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. - Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka:
Deep Power Laws for Hyperparameter Optimization. - Chenglong Wang, Yi Lu, Yongyu Mu, Yimin Hu, Tong Xiao, Jingbo Zhu:
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection. - Oliver Nash:
A formalisation of Gallagher's ergodic theorem. - Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács:
HunSum-1: an Abstractive Summarization Dataset for Hungarian. - Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Feed-Forward Blocks Control Contextualization in Masked Language Models. - Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli:
Simplicity Bias in 1-Hidden Layer Neural Networks. - Roman Erhardt, Kathrin Hanauer, Nils M. Kriege, Christian Schulz, Darren Strash:
Improved Exact and Heuristic Algorithms for Maximum Weight Clique. - Jiabao Gao, Caijun Zhong, Geoffrey Ye Li:
AMP-SBL Unfolding for Wideband MmWave Massive MIMO Channel Estimation. - Manon Flageat, Antoine Cully:
Uncertain Quality-Diversity: Evaluation methodology and new methods for Quality-Diversity in Uncertain Domains. - Vishnu Narayanan Moothedath:
Energy-Optimal Sampling for Edge Computing Feedback Systems: Aperiodic Case. - Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio:
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. - Abdo Abouelrous, Laurens Bliek, Yingqian Zhang:
Digital Twin Applications in Urban Logistics: An Overview. - Astrid Klipfel, Olivier Peltre, Najwa Harrati, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
Equivariant Message Passing Neural Network for Crystal Material Discovery. - Liyuan Wang, Xingxing Zhang, Hang Su, Jun Zhu:
A Comprehensive Survey of Continual Learning: Theory, Method and Application. - Saurabh Sharma, Yongqin Xian, Ning Yu, Ambuj K. Singh:
Learning Prototype Classifiers for Long-Tailed Recognition. - Josip Jukic, Iva Vukojevic, Jan Snajder:
You Are What You Talk About: Inducing Evaluative Topics for Personality Analysis. - Xingyuan Zhou, Peter Paik, Seyed Farokh Atashzar:
Upper-limb Geometric MyoPassivity Map for Physical Human-Robot Interaction. - (Withdrawn) Hybrid Probabilistic Logic Programming: Inference and Learning.
- Lashawnda Bynum, Jay Parker, Kristy Lee, Nia Nitschke, Melanie LaFlam, Jennifer Marcussen, Jana Taleb, Aleyna Dogan, Lisa J. Molnar, Feng Zhou:
Navigating in the Dark - Designing Autonomous Driving Features to Assist Old Adults with Visual Impairments. - Jaime Pérez, Mario Castro, Gregorio López:
Serious Games and AI: Challenges and Opportunities for Computational Social Science. - Savvas Papaioannou, Andrew Markham, Niki Trigoni:
Tracking People in Highly Dynamic Industrial Environments. - Hadiseh Safdari, Martina Contisciani, Caterina De Bacco:
Anomaly, reciprocity, and community detection in networks. - Luis Miguel Danielsson, César Sánchez:
Decentralized Stream Runtime Verification for Timed Asynchronous Networks. - Pranav Kulkarni, Ziqing Ji, Yan Xu, Marko Neskovic, Kevin Nolan:
Exploring Semantic Perturbations on Grover. - Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier:
Iterative Deepening Hyperband. - Lutz Klinkenberg, Tobias Winkler, Mingshuai Chen, Joost-Pieter Katoen:
Exact Probabilistic Inference Using Generating Functions. - G. Dumindu Samaraweera, Hung Nguyen, Hadi Zanddizari, Behnam Zeinali, J. Morris Chang:
Towards Implementing Energy-aware Data-driven Intelligence for Smart Health Applications on Mobile Platforms. - Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides, Christos G. Panayiotou, Marios M. Polycarpou:
Decentralized Search and Track with Multiple Autonomous Agents. - Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann:
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI. - Savvas Papaioannou, Panayiotis Kolios, Theocharis Theocharides, Christos G. Panayiotou, Marios M. Polycarpou:
Probabilistic Search and Track with Multiple Mobile Agents. - Claude Formanek, Asad Jeewa, Jonathan P. Shock, Arnu Pretorius:
Off-the-Grid MARL: a Framework for Dataset Generation with Baselines for Cooperative Offline Multi-Agent Reinforcement Learning. - Christoph Schwab, Andreas Stein:
Multilevel Monte Carlo FEM for Elliptic PDEs with Besov Random Tree Priors. - Weirong Chen, Suryansh Kumar, Fisher Yu:
Uncertainty-Driven Dense Two-View Structure from Motion. - Jianfei Ma:
Distillation Policy Optimization. - Aqib Rashid, Jose M. Such:
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection. - Jun Hu, Pengzhan Jin:
Experimental observation on a low-rank tensor model for eigenvalue problems. - Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, Santiago Zanella-Béguelin:
Analyzing Leakage of Personally Identifiable Information in Language Models. - Juha Kontinen, Yasir Mahmood, Arne Meier, Heribert Vollmer:
Parameterized Complexity of Weighted Team Definability. - Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Y. Levy:
DoCoFL: Downlink Compression for Cross-Device Federated Learning. - Jingpeng Wu, Yicong Li, Nishika Gupta, Kazunori Shinomiya, Pat Gunn, Alexey Polilov, Hanspeter Pfister, Dmitri B. Chklovskii, Donglai Wei:
An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes. - Dennis Assenmacher, Leon Fröhling, Claudia Wagner:
You are a Bot! - Studying the Development of Bot Accusations on Twitter. - Víctor Juan Expósito Jiménez, Helmut Martin, Christian Schwarzl, Georg Macher, Eugen Brenner:
Triggering Conditions Analysis and Use Case for Validation of ADAS/ADS Functions. - Mathieu Marsot, Rim Rekik, Stefanie Wuhrer, Jean-Sébastien Franco, Anne-Hélène Olivier:
Correspondence-free online human motion retargeting. - Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao:
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. - Peter Van Roy, Seif Haridi:
Ideas for the future of Prolog inspired by Oz. - Stefano Tiso, Pedro Carvalho, Nuno Lourenço, Penousal Machado:
Structured mutation inspired by evolutionary theory enriches population performance and diversity. - Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, Mor Naaman:
Co-Writing with Opinionated Language Models Affects Users' Views. - Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman:
Trash to Treasure: Using text-to-image models to inform the design of physical artefacts. - Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon:
Automatically Marginalized MCMC in Probabilistic Programming. - Luca Podo, Bardh Prenkaj, Paola Velardi:
Machine Learning for Visualization Recommendation Systems: Open Challenges and Future Directions. - Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen:
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm. - Kersten Diers, Hannah Baumeister, Frank Jessen, Emrah Düzel, David Berron, Martin Reuter:
An automated, geometry-based method for the analysis of hippocampal thickness. - Laura Stegner, Emmanuel Senft, Bilge Mutlu:
Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults. - Ghazal Kalhor, Tanin Zeraati, Behnam Bahrak:
An exploratory study of diversity among computer science graduate students at top North American universities. - Asiri Lindamulage, Nuwan Kodagoda, Shyam Reyal, Pradeepa Samarasinghe, Pratheepan Yogarajah:
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation. - Alex Doboli, Mahan Agha Zahedi, Niloofar Gholamrezaei:
Inching Towards Automated Understanding of the Meaning of Art: An Application to Computational Analysis of Mondrian's Artwork. - Florian Nolte, Andrew Melnik, Helge J. Ritter:
Stroke-based Rendering: From Heuristics to Deep Learning. - Basheera M. Mahmmod, Sadiq H. Abdulhussain, Tomás Suk:
Accelerated and Improved Stabilization for High Order Moments of Racah Polynomials. - José Miguel Moreno, Sergio Pastrana, Jens Helge Reelfs, Pelayo Vallina, Andriy Panchenko, Georgios Smaragdakis, Oliver Hohlfeld, Narseo Vallina-Rodriguez, Juan Tapiador:
Reviewing War: Unconventional User Reviews as a Side Channel to Circumvent Information Controls. - Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg:
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. - Christopher W. Hays, Kristina Miller, Alexander A. Soderlund, Sean Phillips, Troy Henderson:
Autonomous Local Catalog Maintenance of Close Proximity Satellite Systems on Closed Natural Motion Trajectories. - Beniamin Bogosel, Giuseppe C. Buttazzo, Édouard Oudet:
On the numerical approximation of Blaschke-Santaló diagrams using Centroidal Voronoi Tessellations. - Isabelle van der Vegt, Bennett Kleinberg:
The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic. - T. Y. S. S. Santosh, Oana Ichim, Matthias Grabmair:
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases. - Yogev Bar-On, Yishay Mansour:
Uniswap Liquidity Provision: An Online Learning Approach. - Seunghyun Lee, Da Young Lee, Sujeong Im, Nan Hee Kim, Sung-Min Park:
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting. - Moksh Jain, Tristan Deleu, Jason S. Hartford, Cheng-Hao Liu, Alex Hernández-García, Yoshua Bengio:
GFlowNets for AI-Driven Scientific Discovery. - Jihoon Tack, Subin Kim, Sihyun Yu, Jaeho Lee, Jinwoo Shin, Jonathan Richard Schwarz:
Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. - Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. - Stefano Berrone, Andrea Borio, Francesca Marcon, Gioana Teora:
A first-order stabilization-free Virtual Element Method. - Wen Ji, Ke Han, Tao Liu:
A survey of urban drive-by sensing: An optimization perspective. - Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez:
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. - Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang:
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization. - Chun-Wun Cheng, Christina Runkel, Lihao Liu, Raymond H. Chan, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Continuous U-Net: Faster, Greater and Noiseless. - Juan Ignacio Ibañez, Francisco Rua:
The energy consumption of Proof-of-Stake systems: Replication and expansion. - Alexandre Verine, Benjamin Négrevergne, Muni Sreenivas Pydi, Yann Chevaleyre:
Training Normalizing Flows with the Precision-Recall Divergence. - Olov Holmer, Erik Frisk, Mattias Krysander:
Energy-Based Survival Models for Predictive Maintenance. - Leon Kellerhals, Tomohiro Koana, Pascal Kunz, Rolf Niedermeier:
Parameterized Algorithms for Colored Clustering. - Shivvrat Arya, Yu Xiang, Vibhav Gogate:
Deep Dependency Networks for Multi-Label Classification. - Sergejs Kozlovics:
Shared SAT Solvers and SAT Memory in Distributed Business Applications. - Amir Zeldes, Nathan Schneider:
Are UD Treebanks Getting More Consistent? A Report Card for English UD. - Jaesung Huh, Jacob Chalk, Evangelos Kazakos, Dima Damen, Andrew Zisserman:
Epic-Sounds: A Large-scale Dataset of Actions That Sound. - Santitissadeekorn N., Delahaies S., Lloyd D. J. B:
Identification of an influence network using ensemble-based filtering for Hawkes processes driven by count data. - Shihan Ma, Jidong J. Yang:
Image-Based Vehicle Classification by Synergizing Features from Supervised and Self-Supervised Learning Paradigms. - Shubham Joshi, Indradumna Banerjee:
Ngram-LSTM Open Rate Prediction Model (NLORP) and Error_accuracy@C metric: Simple effective, and easy to implement approach to predict open rates for marketing email. - Jessie Caridad Martín Sujo, Elisabet Golobardes i Ribé:
BRAIN L: A book recommender system. - Procheta Sen, Xi Wang, Ruiqing Xu, Emine Yilmaz:
Task2KB: A Public Task-Oriented Knowledge Base. - Anna Mpanti, Stavros D. Nikolopoulos, Leonidas Palios:
Adding a Tail in Classes of Perfect Graphs. - Junaid Ahmed, Alhassan S. Yasin:
Graph Neural Operators for Classification of Spatial Transcriptomics Data. - Philip J. Purnell:
Geodiversity of hunger research - country focus and its regional and international actors. - Qilong Cheng, Emmett Wise, Jonathan Kelly:
Extrinsic Calibration of 2D mm-Wavelength Radar Pairs Using Ego-Velocity Estimates. - Tatsuki Kuribayashi:
Does Vision Accelerate Hierarchical Generalization of Neural Language Learners? - Yilun Xu, Shangyuan Tong, Tommi S. Jaakkola:
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models. - Grace Zhang, Ayush Jain, Injune Hwang, Shao-Hua Sun, Joseph J. Lim:
Efficient Multi-Task Reinforcement Learning via Selective Behavior Sharing. - Aviv Ovadya:
'Generative CI' through Collective Response Systems. - Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu:
ADAPT: Action-aware Driving Caption Transformer. - Alon Albalak, Colin Raffel, William Yang Wang:
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data. - Kazuki Yoshiyama, Takuya Narihira:
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object. - Andreas Stein, Viet Ha Hoang:
Multilevel Markov Chain Monte Carlo for Bayesian Elliptic Inverse Problems with Besov Random Tree Priors. - Taoli Cheng, Aaron C. Courville:
Versatile Energy-Based Models for High Energy Physics. - Taiga Abe, Estefany Kelly Buchanan, Geoff Pleiss, John P. Cunningham:
Pathologies of Predictive Diversity in Deep Ensembles. - Aurore Loisy, Robin A. Heinonen:
Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark. - Melanie Bancilhon, Amanda Wright, Sunwoo Ha, R. Jordan Crouser, Alvitta Ottley:
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective. - Johannes Aspman, Vyacheslav Kungurtsev, Reza Roohi Seraji:
Riemannian Stochastic Approximation for Minimizing Tame Nonsmooth Objective Functions. - Samantha Chen, Sunhyuk Lim, Facundo Mémoli, Zhengchao Wan, Yusu Wang:
The Weisfeiler-Lehman Distance: Reinterpretation and Connection with GNNs. - Lorenzo Pichierri, Andrea Testa, Giuseppe Notarstefano:
CrazyChoir: Flying Swarms of Crazyflie Quadrotors in ROS 2. - Johannes Schneider, Michalis Vlachos:
A Survey of Deep Learning: From Activations to Transformers. - Pawel Gawrychowski, Samah Ghazawi, Gad M. Landau:
Order-Preserving Squares in Strings. - Xianzhong Ding, Alberto Cerpa, Wan Du:
Multi-zone HVAC Control with Model-Based Deep Reinforcement Learning. - Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili:
Sample Complexity of Kernel-Based Q-Learning. - Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore:
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. - Guangyuan Hu, Ruby B. Lee:
Protecting Cache States Against Both Speculative Execution Attacks and Side-channel Attacks. - Jiashen Cao, Rathijit Sen, Matteo Interlandi, Joy Arulraj, Hyesoon Kim:
Revisiting Query Performance in GPU Database Systems. - Theodor Westny, Joel Oskarsson, Björn Olofsson, Erik Frisk:
MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs. - Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier:
Approximating the Shapley Value without Marginal Contributions. - Prasad Jayanti, Siddhartha Jayanti, Ugur Y. Yavuz, Lizzie Hernandez:
A Universal Technique for Machine-Certified Proofs of Linearizable Algorithms. - Johann-Mattis List:
Inference of Partial Colexifications from Multilingual Wordlists. - Jacques Carette, W. Spencer Smith, Jason Balaci:
Generating Software for Well-Understood Domains. - Yijie Gong, Haliza Mat Husin, Ecda Erol, Valerio Ortenzi, Katherine J. Kuchenbecker:
Haptic Feedback of Tool Vibrations Facilitates Telerobotic Construction. - Noy Biton, Reut Levi, Moti Medina:
Distributed CONGEST Algorithm for Finding Hamiltonian Paths in Dirac Graphs and Generalizations. - Xiaoyun Xu, Oguzhan Ersoy, Stjepan Picek:
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks. - Prasad Jayanti, Siddhartha Jayanti, Anup Joshi:
Constant RMR Recoverable Mutex under System-wide Crashes. - Maryam Taeb:
Developing Hands-on Labs for Source Code Vulnerability Detection with AI. - Craig Gross, Mark A. Iwen:
Sparse Spectral Methods for Solving High-Dimensional and Multiscale Elliptic PDEs. - Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar:
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. - Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino, Arun Ahuja, Sheila Babayan, Felix Hill, Rob Fergus:
Collaborating with language models for embodied reasoning. - Kayode Kolawole Olaleye:
Visually Grounded Keyword Detection and Localisation for Low-Resource Languages. - Anastasia Borovykh, Nikolas Kantas, Panos Parpas, Greg Pavliotis:
Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds. - T. Y. S. S. Santosh, Marcel Perez San Blas, Phillip Kemper, Matthias Grabmair:
Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases. - Jirí Kubalík, Erik Derner, Robert Babuska:
Neural Networks for Symbolic Regression. - Aria Khademi, Michael Hopka, Devesh Upadhyay:
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index. - Zain Alabedeen Ali, Konstantin S. Yakovlev:
Safe Interval Path Planning With Kinodynamic Constraints. - Joel Mathew, Ulf Hermjakob:
User Study for Improving Tools for Bible Translation. - Maxim A. Olshanskii, Arnold Reusken, Paul Schwering:
An Eulerian finite element method for tangential Navier-Stokes equations on evolving surfaces. - Alejandro Medina, Melanie Richey, Mark Mueller, Jacob Schrum:
Evolving Flying Machines in Minecraft Using Quality Diversity. - Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Zou:
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis. - Joshua Springer, Marcel Kyas:
Autonomous Drone Landing: Marked Landing Pads and Solidified Lava Flows. - Valerii Likhosherstov, Krzysztof Choromanski, Avinava Dubey, Frederick Liu, Tamás Sarlós, Adrian Weller:
FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features. - Yuan Yue, Jeremiah D. Deng, Dirk De Ridder, Patrick Manning, Divya Adhia:
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification. - Gines Garcia-Contreras, Juan Córcoles, Jorge A. Ruiz-Cruz, Matteo Oldoni, Gian Guido Gentili, Stefano Micheletti, Simona Perotto:
Advanced Modeling of Rectangular Waveguide Devices with Smooth Profiles by Hierarchical Model Reduction. - Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron:
Using Machine Learning to Develop Smart Reflex Testing Protocols. - Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao:
Unsupervised Entity Alignment for Temporal Knowledge Graphs. - Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman:
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. - Upol Ehsan, Koustuv Saha, Munmun De Choudhury, Mark O. Riedl:
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI. - Arka Ghosh, Piotr Hofman, Slawomir Lasota:
Orbit-finite linear programming. - Evan Hubinger, Adam S. Jermyn, Johannes Treutlein, Rubi Hudson, Kate Woolverton:
Conditioning Predictive Models: Risks and Strategies. - Alexander Roman, Roy T. Forestano, Konstantin T. Matchev, Katia Matcheva, Eyup B. Unlu:
Oracle-Preserving Latent Flows. - Akhil Agnihotri, Rahul Jain, Haipeng Luo:
Average-Constrained Policy Optimization. - Zhean Shao, Wen Li, Ying Tan:
Event-triggered Hybrid Energy-aware Scheduling in Manufacturing Systems. - Malek Mechergui, Sarath Sreedharan:
Goal Alignment: A Human-Aware Account of Value Alignment Problem. - Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak:
Stochastic Contextual Bandits with Long Horizon Rewards. - Benjamin Zalatan, Maryam Rahnemoonfar:
Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar. - Amir Said:
Introduction to Arithmetic Coding - Theory and Practice. - Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. - Trupti Mahendrakar, Ryan T. White, Markus Wilde, Madhur Tiwari:
SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection. - Syeda Nyma Ferdous, Xin Li, Kamalakanta Sahoo, Richard Bergman:
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective. - Ziang Xiao, Tiffany Wenting Li, Karrie Karahalios, Hari Sundaram:
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot. - Sara Sabour, Suhani Vora, Daniel Duckworth, Ivan Krasin, David J. Fleet, Andrea Tagliasacchi:
RobustNeRF: Ignoring Distractors with Robust Losses. - Jonathan W. Siegel:
Sharp Lower Bounds on Interpolation by Deep ReLU Neural Networks at Irregularly Spaced Data. - HoLam Chung, Junan Li, Pengfei Liu, Wai-Kim Leung, Xixin Wu, Helen Meng:
Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition. - Dhiraj Neupane, Aashish Bhattarai, Sunil Aryal, Mohamed Reda Bouadjenek, Uk-Min Seok, Jongwon Seok:
SHINE: Deep Learning-Based Accessible Parking Management System. - Zhen Lin, Shubhendu Trivedi, Cao Xiao, Jimeng Sun:
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control. - Luyao Ren, Ziheng Wang, Yingfei Xiong, Li Zhang, Guoyue Jiang, Tao Xie:
Effective Random Test Generation for Deep Learning Compilers. - Michael Timothy Bennett:
Enactivism & Objectively Optimal Super-Intelligence. - Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa:
Scale up with Order: Finding Good Data Permutations for Distributed Training. - Bokai Xu, Zhe Wang, Huahua Xiao, Jiayi Zhang, Bo Ai, Derrick Wing Kwan Ng:
Low-Complexity Precoding for Extremely Large-Scale MIMO Over Non-Stationary Channels. - Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li:
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. - Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang:
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. - Yesom Park, Jaemoo Choi, Changyeon Yoon, Changhoon Song, Myungjoo Kang:
Learning PDE Solution Operator for Continuous Modeling of Time-Series. - Mukhlish Fuadi, Adhi Dharma Wibawa, Surya Sumpeno:
idT5: Indonesian Version of Multilingual T5 Transformer. - Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang:
Algorithm Design for Online Meta-Learning with Task Boundary Detection. - Ya-nan Han, Jian-Wei Liu:
Online Continual Learning via the Knowledge Invariant and Spread-out Properties. - Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, Mingsheng Long:
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. - Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. - Hojeong Lee, Minseon Gwak, Kawon Lee, Minjeong Kim, Joseph Konan, Ojas Bhargave:
Speech Enhancement for Virtual Meetings on Cellular Networks. - Gaël Gendron, Michael Witbrock, Gillian Dobbie:
Disentanglement of Latent Representations via Sparse Causal Interventions. - Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür:
Using In-Context Learning to Improve Dialogue Safety. - Haocheng Lei, Anthony Bellotti:
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning. - Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng:
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. - Jiseob Kim, Kyuhong Shim, Junhan Kim, Byonghyo Shim:
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning. - Mubark B. Jedh, Lotfi Ben Othmane, Arun K. Somani:
Improvement and Evaluation of Resilience of Adaptive Cruise Control Against Spoofing Attacks Using Intrusion Detection System. - Arman Bolatov, Kaisar Dauletbek:
Empirical Analysis of the AdaBoost's Error Bound. - Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael J. Black, Sanja Fidler, Xue Bin Peng:
Synthesizing Physical Character-Scene Interactions. - Lei Tan, Yukang Zhang, Shengmei Shen, Yan Wang, Pingyang Dai, Xianming Lin, Yongjian Wu, Rongrong Ji:
Exploring Invariant Representation for Visible-Infrared Person Re-Identification. - Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu:
AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation. - Sidong Feng, Mulong Xie, Yinxing Xue, Chunyang Chen:
Read It, Don't Watch It: Captioning Bug Recordings Automatically. - Xiyuan Wang, Haotong Yang, Muhan Zhang:
Neural Common Neighbor with Completion for Link Prediction. - Takashi Takahashi:
Role of Bootstrap Averaging in Generalized Approximate Message Passing. - Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. - Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, Xiaoyu Zhang:
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning. - Xiaotian Lin, Nankai Lin, Yingwen Fu, Ziyu Yang, Shengyi Jiang:
How to choose "Good" Samples for Text Data Augmentation. - Daniele Boffi, Abdul Halim, Gopal Priyadarshi:
Reduced basis approximation of parametric eigenvalue problems in presence of clusters and intersections. - Masahiro Oda, Kazuhiro Furukawa, Nassir Navab, Kensaku Mori:
KST-Mixer: Kinematic Spatio-Temporal Data Mixer For Colon Shape Estimation. - (Withdrawn) Longformer: Longitudinal Transformer for Alzheimer's Disease Classification with Structural MRIs.
- Hao Liu, Wilson Yan, Pieter Abbeel:
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment. - Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. - Changyoung Yuhn, Yuki Sato, Hiroki Kobayashi, Atsushi Kawamoto, Tsuyoshi Nomura:
4D topology optimization: Integrated optimization of the structure and movement of self-actuating soft bodies. - Guodong Wang, Shengwei Liu, Hongwei Liu:
New Constructions of Optimal Binary LCD Codes. - Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. - Ali Pourramezan Fard, Mohammad H. Mahoor, Sarah Ariel Lamer, Timothy D. Sweeny:
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis. - Bhaskar Mukhoty, Velibor Bojkovic, William de Vazelhes, Giulia De Masi, Huan Xiong, Bin Gu:
Energy Efficient Training of SNN using Local Zeroth Order Method. - Bai Zhu, Liang Zhou, Simiao Pu, Jianwei Fan, Yuanxin Ye:
Advances and Challenges in Multimodal Remote Sensing Image Registration. - Gerasimos Arvanitis, Nikolaos Stagakis, Evangelia I. Zacharaki, Konstantinos Moustakas:
Cooperative Saliency-based Obstacle Detection and AR Rendering for Increased Situational Awareness. - Xianyun Sun, Beibei Dong, Caiyong Wang, Bo Peng, Jing Dong:
Visual Realism Assessment for Face-swap Videos. - Konstantin Usevich:
An algebraic algorithm for rank-2 ParaTuck-2 decomposition. - Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola:
Multimodal Chain-of-Thought Reasoning in Language Models. - Zhihao Shi, Xize Liang, Jie Wang:
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. - Yiming Du, Zhuotian Li, Qian He, Thomas Wetere Tulu, Kei Hang Katie Chan, Lin Wang, Sen Pei, Xiao-Ke Xu, Xiao Fan Liu:
DPCIPI: A pre-trained deep learning model for estimation of cross-immunity between drifted strains of Influenza A/H3N2. - Shinsaku Sakaue, Taihei Oki:
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L♮-Convex Function Minimization. - Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao:
Adaptive Siamese Tracking with a Compact Latent Network. - Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". - Konstantin Sergeev, Anastasiya Runnova, Maxim Zhuravlev, Evgenia Sitnikova, Elizaveta Rutskova, Kirill Smirnov, Andrei Slepnev, Nadezhda Semenova:
Simple method for detecting sleep episodes in rats ECoG using machine learning. - Haichao Zhang, Wei Xu, Haonan Yu:
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning. - Tadashi Nomoto:
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting. - Jianqing Zhu, Juncai He, Qiumei Huang:
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations. - Ji Qiu, Hongmei Shi, Yu Hen Hu, Zujun Yu:
An optimization method for out-of-distribution anomaly detection models. - Jiale Han, Xiaowu Dai:
Robust multi-item auction design using statistical learning: Overcoming uncertainty in bidders' types distributions. - Krzysztof Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Avinava Dubey, Deepali Jain, Tamás Sarlós, Snigdha Chaturvedi, Adrian Weller:
Efficient Graph Field Integrators Meet Point Clouds. - Sahar Sadrizadeh, Ljiljana Dolamic, Pascal Frossard:
TransFool: An Adversarial Attack against Neural Machine Translation Models. - Bowen Tang, Chenggang Wu, Pen-Chung Yew, Yinqian Zhang, Mengyao Xie, Yuanming Lai, Yan Kang, Wei Wang, Qiang Wei, Zhe Wang:
SPECWANDS: An Efficient Priority-based Scheduler Against Speculation Contention Attacks. - Weimin Shi, Mingchen Zhuge, Zhong Zhou, Dehong Gao, Deng-Ping Fan:
QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning. - Sajad Sotudeh, Nazli Goharian, Hanieh Deilamsalehy, Franck Dernoncourt:
Curriculum-guided Abstractive Summarization for Mental Health Online Posts. - Sheng Xu, Yanjing Li, Teli Ma, Mingbao Lin, Hao Dong, Baochang Zhang, Peng Gao, Jinhu Lv:
Resilient Binary Neural Network. - Francesco A. Genco, Giuseppe Primiero:
A Typed Lambda-Calculus for Establishing Trust in Probabilistic Programs. - Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu:
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting. - Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu:
Visual Imitation Learning with Patch Rewards. - Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez, Xavier Franch:
Energy Efficiency of Training Neural Network Architectures: An Empirical Study. - Katrin Becker, Martin Oehler, Oskar von Stryk:
3D Coverage Path Planning for Efficient Construction Progress Monitoring. - Olga Polverino, Paolo Santonastaso, Ferdinando Zullo:
Maximum weight codewords of a linear rank metric code. - Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim:
Domain Generalization Emerges from Dreaming. - Jinjiang Guo, Jie Li:
Predicting Molecule-Target Interaction by Learning Biomedical Network and Molecule Representations. - Ilhan Aslan, Dominik Neu, Daniela Neupert, Stefan Grafberger, Nico Weise, Pascal Pfeil, Maximilian Kuschewski:
How to Compliment a Human - Designing Affective and Well-being Promoting Conversational Things. - Alexander Lindermayr, Nicole Megow, Martin Rapp:
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary. - Haobo Yang, Shiyan Zhang, Zhuoyi Yang, Xinyu Zhang:
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent Driving. - Xiaozheng Zheng, Chao Wen, Zhou Xue, Jingyu Wang:
Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning. - Marco Cominelli, Francesco Gringoli, Francesco Restuccia:
Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations. - Rohit Lal, Arihant Gaur, Aadhithya Iyer, Muhammed Abdullah Shaikh, Ritik Agrawal:
Open-Set Multi-Source Multi-Target Domain Adaptation. - (Withdrawn) Constrained Online Two-stage Stochastic Optimization: New Algorithms via Adversarial Learning.
- Ruiwen Dong:
Termination of linear loops under commutative updates. - Gordana Ispirova, Tome Eftimov, Barbara Korousic-Seljak:
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets. - Dmitry Berdinsky, Sanjay Jain, Bakhadyr Khoussainov, Frank Stephan:
String Compression in FA-Presentable Structures. - Adel Omrani, Guido Link, John Jelonnek:
A Near-Field Focused Phased-Array Antenna Design Using the Time-Reversal Concept for Weed Control Purpose. - Farhad Modaresi, Matthew Guthaus, Jason K. Eshraghian:
OpenSpike: An OpenRAM SNN Accelerator. - Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini:
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. - Yuwei Sun:
Meta Learning in Decentralized Neural Networks: Towards More General AI. - Maximilian Westers, Tobias Wich, Louis Jannett, Vladislav Mladenov, Christian Mainka, Andreas Mayer:
SSO-Monitor: Fully-Automatic Large-Scale Landscape, Security, and Privacy Analyses of Single Sign-On in the Wild. - Davide Colla, Matteo Delsanto, Marco Agosto, Benedetto Vitiello, Daniele Paolo Radicioni:
Semantic Coherence Markers for the Early Diagnosis of the Alzheimer Disease. - Randy Kuang:
Generalized Uncertainty Principles for Quantum Cryptography. - Kerr Fitzgerald, Bogdan J. Matuszewski:
FCB-SwinV2 Transformer for Polyp Segmentation. - Jonathan Franceschi, Lorenzo Pareschi, Elena Bellodi, Marco Gavanelli, Marco Bresadola:
Modeling opinion polarization on social media: application to Covid-19 vaccination hesitancy in Italy. - Guoqiang Zhang:
On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance. - Yi Song, Xihao Zhang, Xiaoyuan Xie, Quanming Liu, Ruizhi Gao, Chenliang Xing:
A novel failure indexing approach with run-time values of program variables. - Ningning Ding:
An Efficient Convex Hull-Based Vehicle Pose Estimation Method for 3D LiDAR. - Juping Zhang, Gan Zheng, Yangyishi Zhang, Ioannis Krikidis, Kai-Kit Wong:
Deep Learning Based Predictive Beamforming Design. - Zhiren Xun, Jian Huang, Zhehan Li, Chao Xu, Fei Gao, Yanjun Cao:
CREPES: Cooperative RElative Pose EStimation towards Real-World Multi-Robot Systems. - Mark Swillus, Andy Zaidman:
Sentiment Overflow in the Testing Stack: Analysing Software Testing Posts on Stack Overflow. - Chao Wang, Anna Belardinelli, Stephan Hasler, Theodoros Stouraitis, Daniel Tanneberg, Michael Gienger:
Explainable Human-Robot Training and Cooperation with Augmented Reality. - Visara Urovi, Remzi Celebi, Chang Sun, Linda Rieswijk, Michael Erard, Arif Yilmaz, Kody Moodley, Parveen Kumar, Michel Dumontier:
TAPS Responsibility Matrix: A tool for responsible data science by design. - Yasir Ghunaim, Adel Bibi, Kumail Alhamoud, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Ameya Prabhu, Philip H. S. Torr, Bernard Ghanem:
Real-Time Evaluation in Online Continual Learning: A New Paradigm. - Filippo Lanubile, Silverio Martínez-Fernández, Luigi Quaranta:
Teaching MLOps in Higher Education through Project-Based Learning. - Mobarakol Islam, Lalithkumar Seenivasan, S. P. Sharan, V. K. Viekash, Bhavesh Gupta, Ben Glocker, Hongliang Ren:
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation. - Conor Brennan, Kevin McGuinness:
Site-specific Deep Learning Path Loss Models based on the Method of Moments. - Paulo Marques, Filipe F. Correia:
Foundational DevOps Patterns. - Zunzhi You, Daochang Liu, Chang Xu:
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. - Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang:
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation. - Renukanandan Tumu, Lars Lindemann, Truong Nghiem, Rahul Mangharam:
Physics Constrained Motion Prediction with Uncertainty Quantification. - Indradumna Banerjee, Dinesh Ghanta, Girish Nautiyal, Pradeep Sanchana, Prateek Katageri, Atin Modi:
MLOps with enhanced performance control and observability. - Damian Kurpiewski, Wojciech Jamroga, Teofil Sidoruk:
Towards Modelling and Verification of Social Explainable AI. - Niels Gleinig, Tobias Rohner, Torsten Hoefler:
Approximate Reversible Circuits for NISQ-Era Quantum Computers. - Baihan Lin, Djallel Bouneffouf, Irina Rish:
A Survey on Compositional Generalization in Applications. - Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. - Yuma Fujimoto, Kaito Ariu, Kenshi Abe:
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. - Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. - Pierre Clairambault, Federico Olimpieri, Hugo Paquet:
From Thin Concurrent Games to Generalized Species of Structures. - Xinge Yang, Qiang Fu, Wolfgang Heidrich:
Curriculum Learning for ab initio Deep Learned Refractive Optics. - Tim Ziemer:
Goniometers are a Powerful Acoustic Feature for Music Information Retrieval Tasks. - Othmar Koch, Koray Acar, Winfried Auzinger, Friedrich Kupka, Benedikt Moser:
Adaptive exponential multi-operator splitting for MHD. - Lorenzo Maggi, Claudiu Mihailescu, Qike Cao, Alan Tetich, Saad Khan, Simo Aaltonen, Ryo Koblitz, Maunu Holma, Samuele Macchi, Maria Elena Ruggieri, Igor Korenev, Bjarne Klausen:
Energy savings under performance constraints via carrier shutdown with Bayesian learning. - Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. - Luis Olsina, María Fernanda Papa, Pablo Becker:
NFRsTDO v1.2's Terms, Properties, and Relationships - A Top-Domain Non-Functional Requirements Ontology. - Ludovic Mignot, Faissal Ouardi, Djelloul Ziadi:
New Linear-time Algorithm for SubTree Kernel Computation based on Root-Weighted Tree Automata. - Dmytro Grytskyy, Jorge Ramírez-Ruiz, Rubén Moreno-Bote:
A general Markov decision process formalism for action-state entropy-regularized reward maximization. - Ghanta Sai Krishna, Kundrapu Supriya, Mallikharjuna Rao K, Meetiksha Sorgile:
LesionAid: Vision Transformers-based Skin Lesion Generation and Classification. - Bohan Zhuang, Jing Liu, Zizheng Pan, Haoyu He, Yuetian Weng, Chunhua Shen:
A Survey on Efficient Training of Transformers. - Mingyang Zhao, Lei Ma, Xiaohong Jia, Dong-Ming Yan, Tiejun Huang:
GraphReg: Dynamical Point Cloud Registration with Geometry-aware Graph Signal Processing. - Huayi Zhou, Fei Jiang, Hongtao Lu:
DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles. - Jianxin Chang, Chenbin Zhang, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, Kun Gai:
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information. - Victor Paduani, Rahul Kadavil, Hossein Hooshyar, Aboutaleb Haddadi, A. H. M. Jakaria, Aminul Huque:
Real-Time T&D Co-Simulation for Testing Grid Impact of High DER Participation. - Hossein Hooshyar, Rahul Kadavil, Victor Paduani, Aboutaleb Haddadi, A. H. M. Jakaria, Aminul Huque:
Grid Services by Behind-the-Meter Distributed Energy Resources: NY State Grid Case Study. - Danda B. Rawat, Hassan El Alami:
Metaverse: Requirements, Architecture, Standards, Status, Challenges, and Perspectives. - Deepali Jain, Krzysztof Marcin Choromanski, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan, Avinava Dubey:
Mnemosyne: Learning to Train Transformers with Transformers. - Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. - Sayinath Karuppanan, Samira Mirbagher Ajorpaz:
An Attack on The Speculative Vectorization: Leakage from Higher Dimensional Speculation. - Mehrdad Salimnejad, Marios Kountouris, Nikolaos Pappas:
Real-time Remote Reconstruction of a Markov Source and Actuation over Wireless. - Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel:
SceneScape: Text-Driven Consistent Scene Generation. - Duo Zhang, Xifeng Gao, Kui Wu, Zherong Pan:
Provably Robust Semi-Infinite Program Under Collision Constraints via Subdivision. - Rita Pucci, Christian Micheloni, Niki Martinel:
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization. - Aviv Adler, Joshua Ani, Lily Chung, Michael J. Coulombe, Erik D. Demaine, Yevhenii Diomidov, Dylan H. Hendrickson, Jayson Lynch:
This Game Is Not Going To Analyze Itself. - Philipp Seeberger, Korbinian Riedhammer:
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization. - Simon Gottschalk, Elena Demidova:
Tab2KG: Semantic Table Interpretation with Lightweight Semantic Profiles. - Xiangqian Li:
A comparative study of statistical and machine learning models on near-real-time daily emissions prediction. - Zhaolin Wang, Xidong Mu, Yuanwei Liu:
Near-Field Integrated Sensing and Communications. - Chung Yan Fong, Dit-Yan Yeung:
Deep COVID-19 Forecasting for Multiple States with Data Augmentation. - Dimitri Breda, Davide Liessi, Sjoerd M. Verduyn Lunel:
Spectra of evolution operators of a class of neutral renewal equations: theoretical and numerical aspects. - Max Winkelmann, Constantin Vasconi, Steffen Müller:
Vectorized Scenario Description and Motion Prediction for Scenario-Based Testing. - Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Xiaoguang Han:
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors. - Frantisek Nekovár, Jan Faigl, Martin Saska:
Vehicle Fault-Tolerant Robust Power Transmission Line Inspection Planning. - Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han:
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt. - Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh:
STEP: Learning N: M Structured Sparsity Masks from Scratch with Precondition. - Simone Mariano, Romain Postoyan, Luca Zaccarian:
Finite-time stability properties of Lur'e systems with piecewise continuous nonlinearities. - Tiantian Gong, Aniket Kate:
Order but Not Execute in Order. - Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bézenac:
Convolutional Neural Operators. - Frantisek Nekovár, Jan Faigl, Martin Saska:
Multi-Tour Set Traveling Salesman Problem in Planning Power Transmission Line Inspection. - Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo:
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. - Abdul Haddi Amjad, Zubair Shafiq, Muhammad Ali Gulzar:
Blocking JavaScript without Breaking the Web: An Empirical Investigation. - Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma:
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing. - Jiechuan Jiang, Zongqing Lu:
Best Possible Q-Learning. - Saviz Mowlavi, Mouhacine Benosman, Saleh Nabi:
Reinforcement learning-based estimation for partial differential equations. - Jack R. P. Hanslope, Laurence Aitchison:
Imitating careful experts to avoid catastrophic events. - Minglun Han, Qingyu Wang, Tielin Zhang, Yi Wang, Duzhen Zhang, Bo Xu:
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition. - Leonardo Cotta, Beatrice Bevilacqua, Nesreen Ahmed, Bruno Ribeiro:
Causal Lifting and Link Prediction. - Maxime Bouton, Jaeseong Jeong, José Outes, Adriano Mendo, Alexandros Nikou:
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning. - Matteo Castiglioni, Andrea Celli, Christian Kroer:
Online Bidding in Repeated Non-Truthful Auctions under Budget and ROI Constraints. - Shenyang Huang, Samy Coulombe, Yasmeen Hitti, Reihaneh Rabbany, Guillaume Rabusseau:
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs. - Seth Taylor, Jean-Christophe Nave:
A characteristic mapping method for incompressible hydrodynamics on a rotating sphere. - Baleegh Ahmad, Shailja Thakur, Benjamin Tan, Ramesh Karri, Hammond Pearce:
Fixing Hardware Security Bugs with Large Language Models. - Aymeric Vié, J. Doyne Farmer:
Towards Evology: a Market Ecology Agent-Based Model of US Equity Mutual Funds II. - Meiyu Jiang, XueTao Jiang, Qingguo Zhou:
Temporal fusion transformer using variational mode decomposition for wind power forecasting. - Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh:
Practical Bandits: An Industry Perspective. - Giorgio Bacci, Radu Mardare, Prakash Panangaden, Gordon D. Plotkin:
Propositional Logics for the Lawvere Quantale. - Jakub Ruszil:
Asymmetric Cryptosystem Using Careful Synchronization. - Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger:
Factor Fields: A Unified Framework for Neural Fields and Beyond. - Rasmus Kjær Høier, D. Staudt, Christopher Zach:
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons. - Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
New threats to society from free-speech social media platforms. - Suthee Ruangwises:
Physical Zero-Knowledge Proof for Five Cells. - Brian Y. Lim, Joseph P. Cahaly, Chester Y. F. Sng, Adam Chew:
Diagrammatization: Rationalizing with diagrammatic AI explanations for abductive reasoning on hypotheses. - Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso:
Neuro Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal. - Zhengbo Zhou, Jun Luo, Dooman Arefan, Gene Kitamura, Shandong Wu:
Human not in the loop: objective sample difficulty measures for Curriculum Learning. - Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang:
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function. - Alaa Awad, Denisa A. O. Roberts, Eden Dolev, Andrea Heyman, Zahra Ebrahimzadeh, Zoe Weil, Marcin Mejran, Vaibhav Malpani, Mahir Yavuz:
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads. - Eivind Meyer, Maurice Brenner, Bowen Zhang, Max Schickert, Bilal Musani, Matthias Althoff:
Geometric Deep Learning for Autonomous Driving: Unlocking the Power of Graph Neural Networks With CommonRoad-Geometric. - Tiago Soares, Mário Pereira:
A Framework for the Automated Verification of Algebraic Effects and Handlers (extended version). - Ted Moskovitz, Brendan O'Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy:
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. - Jean Marie Tshimula, D'Jeff K. Nkashama, Kalonji Kalala, Maximilien V. Dialufuma, Mbuyi Mukendi Didier, Hugues Kanda, Jean Tshibangu Muabila, Christian N. Mayemba:
Redesigning Electronic Health Record Systems to Support Developing Countries. - Kevin Thandiackal, Luigi Piccinelli, Pushpak Pati, Orcun Goksel:
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains. - Nicholas J. Horton, Jie Chao, Phebe Palmer, William Finzer:
How learners produce data from text in classifying clickbait. - Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu:
Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception. - Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu, Niranjan Suri:
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks. - Prabodh Katti, Nicolas Skatchkovsky, Osvaldo Simeone, Bipin Rajendran, Bashir M. Al-Hashimi:
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity. - Matthew J. Skiles, Joshua D. Rhodes, Michael E. Webber:
Observations of peak electric load growth in ERCOT with the rise of electrified heating and its implications for future resource planning. - Teng Guo, Jingjin Yu:
Toward Efficient Physical and Algorithmic Design of Automated Garages. - Raja Marjieh, Ilia Sucholutsky, Pol van Rijn, Nori Jacoby, Thomas L. Griffiths:
What Language Reveals about Perception: Distilling Psychophysical Knowledge from Large Language Models. - Lucas Berry, David Meger:
Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling. - Jianfei Gao, Yangze Zhou, Bruno Ribeiro:
Double Permutation Equivariance for Knowledge Graph Completion. - Bagus Santoso, Yasutada Oohama:
Universal Coding for Shannon Ciphers under Side-Channel Attacks. - Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu:
Are Diffusion Models Vulnerable to Membership Inference Attacks? - Charlie Chen, Sebastian Borgeaud, Geoffrey Irving, Jean-Baptiste Lespiau, Laurent Sifre, John Jumper:
Accelerating Large Language Model Decoding with Speculative Sampling. - Fares Fourati, Vaneet Aggarwal, Christopher John Quinn, Mohamed-Slim Alouini:
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. - Ahmed Roushdy Elkordy, Yahya H. Ezzeldin, Shanshan Han, Shantanu Sharma, Chaoyang He, Sharad Mehrotra, Salman Avestimehr:
Federated Analytics: A survey. - Manoj Kumar, Mostafa Dehghani, Neil Houlsby:
Dual PatchNorm. - David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John F. Canny:
IC3: Image Captioning by Committee Consensus. - Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav-Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen:
Dreamix: Video Diffusion Models are General Video Editors. - Zhaoxi Chen, Guangcong Wang, Ziwei Liu:
SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections. - Frederik Warburg, Marco Miani, Silas Brack, Søren Hauberg:
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval. - Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. - Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao:
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation. - Mesfer Mohammed Alqarni:
A Framework to Allow a Third Party to Watermark Numerical Data in an Encrypted Domain while Preserving its Statistical Properties. - Eric Schwitzgebel, David Schwitzgebel, Anna Strasser:
Creating a Large Language Model of a Philosopher. - Sajad Sotudeh, Hanieh Deilamsalehy, Franck Dernoncourt, Nazli Goharian:
Curriculum-Guided Abstractive Summarization. - Christine Konicki, Mithun Chakraborty, Michael P. Wellman:
Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. - Brooke Krajancich, Petr Kellnhofer, Gordon Wetzstein:
Towards Attention-aware Rendering for Virtual and Augmented Reality. - T. H. M. N. C. Thelasingha, U. V. B. L. Udugama, E. M. S. P. Ekanayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, B. G. L. T. Samaranayake, J. V. Wijayakulasooriya:
Laser Ranging Based Intelligent System for Unknown Environment Mapping. - Panagiotis Charalampopoulos, Bartlomiej Dudek, Pawel Gawrychowski, Karol Pokorski:
Optimal Heaviest Induced Ancestors. - William C. Sleeman IV, Rishabh Kapoor, Preetam Ghosh:
Neural Network Architecture for Database Augmentation Using Shared Features. - Hassan Dbouk, Naresh R. Shanbhag:
On the Robustness of Randomized Ensembles to Adversarial Perturbations. - Omer Ben-Porat, Rotem Torkan:
Learning with Exposure Constraints in Recommendation Systems. - Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin:
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data. - Clemens JS Schaefer, Elfie Guo, Caitlin Stanton, Xiaofan Zhang, Tom Jablin, Navid Lambert-Shirzad, Jian Li, Chiachen Chou, Siddharth Joshi, Yu Emma Wang:
Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search. - Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu:
Energy-Inspired Self-Supervised Pretraining for Vision Models. - Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg:
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. - Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. - E. M. S. P. Ekanayake, T. H. M. N. C. Thelasingha, U. V. B. L. Udugama, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, B. G. L. T. Samaranayake, J. V. Wijayakulasooriya:
Object Dimension Extraction for Environment Mapping with Low Cost Cameras Fused with Laser Ranging. - Mark Yen, Geir E. Dullerud, Yu Wang:
Statistical Verification of Traffic Systems with Expected Differential Privacy. - Julian Koellermeier, Philipp Krah, Jonas Kusch:
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation. - Yiming Sun, Bing Cao, Pengfei Zhu, Qinghua Hu:
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion. - Stefano Scotta, Alberto Messina:
Understanding and contextualising diffusion models. - Antonis Papasavva, Enrico Mariconti:
Waiting for Q: An Exploration of QAnon Users' Online Migration to Poal in the Wake of Voat's Demise. - Xavier Garcia, Yamini Bansal, Colin Cherry, George F. Foster, Maxim Krikun, Fangxiaoyu Feng, Melvin Johnson, Orhan Firat:
The unreasonable effectiveness of few-shot learning for machine translation. - Md. Masudur Rahman, Yexiang Xue:
Accelerating Policy Gradient by Estimating Value Function from Prior Computation in Deep Reinforcement Learning. - Sam Royston:
Personalized Understanding of Blood Glucose Dynamics via Mobile Sensor Data. - Philipp Markert, Andrick Adhikari, Sanchari Das:
A Transcontinental Analysis of Account Remediation Protocols of Popular Websites. - Bicheng Xu, Renjie Liao, Leonid Sigal:
Self-Supervised Relation Alignment for Scene Graph Generation. - Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. - Josh Brunner, Lily Chung, Michael J. Coulombe, Erik D. Demaine, Timothy Gomez, Jayson Lynch:
Complexity of Solo Chess with Unlimited Moves. - Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang:
Hyperbolic Contrastive Learning. - Benjamin Boutin, Pierre Le Barbenchon, Nicolas Seguin:
Stability of finite difference schemes for the hyperbolic initial boundary value problem by winding number computations. - Alexander Katsevich:
Analysis of view aliasing for the generalized Radon transform in R2. - Birthe van den Berg, Tom Schrijvers:
A Framework for Higher-Order Effects & Handlers. - Fanjie Kong, Yuan Li, Tanner Fiez, Shreya Chakrabarti, Ricardo Henao, Houssam Nassif:
Neural Insights for Digital Marketing Content Design. - Shrish Pellakur, Nelly Elsayed, Zag ElSayed, Murat Ozer:
A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images. - Mohammadali Ghafarian, Bijan Shirinzadeh, Ammar Abdulhussein Lafta Al-Jodah:
Monolithic Six-DOF Parallel Positioning System for High-precision and Large-range Applications. - Michael E. Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel:
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. - Franziska Schirrmacher, Benedikt Lorch, Anatol Maier, Christian Riess:
Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. - Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation Fixes Dataset Reconstruction Attacks. - Tong Lin, Sijie Chen, Ruchira Basu, Dehu Pei, Xiaolin Cheng, Levent Burak Kara:
Target specific peptide design using latent space approximate trajectory collector. - Rong-Ching Chang, Ashwin Rao, Qiankun Zhong, Magdalena Wojcieszak, Kristina Lerman:
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy. - Chengyu Dong:
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications. - Yiren Liu, Halil Kilicoglu:
Commonsense-Aware Prompting for Controllable Empathetic Dialogue Generation. - Mengyan Wang, Weihua Li, Jingli Shi, Shiqing Wu, Quan Bai:
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems. - Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh:
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service". - Yashaswini Murthy, Mehrdad Moharrami, R. Srikant:
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms. - Andrea Gemelli, Emanuele Vivoli, Simone Marinai:
CTE: A Dataset for Contextualized Table Extraction. - M. Hammad Mazhar, Li Li, Md. Endadul Hoque, Omar Chowdhury:
MAVERICK: An App-independent and Platform-agnostic Approach to Enforce Policies in IoT Systems at Runtime. - Wyatt Felt:
Reconsidering Fascicles in Soft Pneumatic Actuator Packs. - Mohammad Shifat-E.-Rabbi, Abu Hasnat Mohammad Rubaiyat, Yan Zhuang, Gustavo K. Rohde:
A sliced-Wasserstein distance-based approach for out-of-class-distribution detection. - Nathan E. Glatt-Holtz, Cecilia F. Mondaini:
Long-term accuracy of numerical approximations of SPDEs with the stochastic Navier-Stokes equations as a paradigm. - Anastasia Koloskova, Ryan McKenna, Zachary Charles, Keith Rush, Brendan McMahan:
Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning. - Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck:
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. - Qingfeng Lan, A. Rupam Mahmood, Shuicheng Yan, Zhongwen Xu:
Learning to Optimize for Reinforcement Learning. - Wenhan Yu, Terence Jie Chua, Jun Zhao:
User-centric Heterogeneous-action Deep Reinforcement Learning for Virtual Reality in the Metaverse over Wireless Networks. - Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas:
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation. - Quoc Thong Le Gia, Hrushikesh N. Mhaskar:
Numerical solutions to an inverse problem for a non-linear Helmholtz equation. - Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, Liwei Wang, Simon S. Du:
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback. - Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. - John B. Harvill, Jarred Barber, Arun Nair, Ramin Pishehvar:
SPADE: Self-supervised Pretraining for Acoustic DisEntanglement. - Junwen Bai, Yuanqi Du, Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla Gomes:
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction. - Ali Reza Ibrahimzada, Yigit Varli, Dilara Tekinoglu, Reyhaneh Jabbarvand:
Perfect Is the Enemy of Test Oracle. - Atsuyoshi Kita, Nobuhiro Suenari, Masashi Okada, Tadahiro Taniguchi:
Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times. - Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon:
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning. - Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. - Byounggyu Lew, Donghyun Son, Buru Chang:
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models. - Kazuma Suetake, Takuya Ushimaru, Ryuji Saiin, Yoshihide Sawada:
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks. - Hamed Rahimi, Hubert Naacke, Camélia Constantin, Bernd Amann:
ANTM: An Aligned Neural Topic Model for Exploring Evolving Topics. - Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu:
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. - Chaowei Fang, Dingwen Zhang, Wen Zheng, Xue Li, Le Yang, Lechao Cheng, Junwei Han:
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics. - Fangzhou Wang, A. Lee Swindlehurst:
Applications of Absorptive Reconfigurable Intelligent Surfaces in Interference Mitigation and Physical Layer Security. - Shion Takeno, Yu Inatsu, Masayuki Karasuyama:
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds. - Lei Tan, Pingyang Dai, Qixiang Ye, Mingliang Xu, Yongjian Wu, Rongrong Ji:
Spectral Aware Softmax for Visible-Infrared Person Re-Identification. - Shion Takeno, Masahiro Nomura, Masayuki Karasuyama:
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. - Pengcheng Xu, Boyu Wang, Charles Ling:
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. - Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan:
Pseudonorm Approachability and Applications to Regret Minimization. - Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. - Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen:
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation. - Alexander Kushkuley, Joshua Correa:
Improving Recommendation Relevance by simulating User Interest. - Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Multi-channel Autobidding with Budget and ROI Constraints. - Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin:
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. - Shin-nosuke Ishikawa, Masato Todo, Masato Taki, Yasunobu Uchiyama, Kazunari Matsunaga, Peihsuan Lin, Taiki Ogihara, Masao Yasui:
Example-Based Explainable AI and its Application for Remote Sensing Image Classification. - Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou:
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation. - Jongwoo Ko, Seungjoon Park, Minchan Jeong, Sukjin Hong, Euijai Ahn, Du-Seong Chang, Se-Young Yun:
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective. - Shengze Wang, Alexey Supikov, Joshua Ratcliff, Henry Fuchs, Ronald T. Azuma:
INV: Towards Streaming Incremental Neural Videos. - Feier Chang, Jay Krishnan, Jillian H. Hurst, Michael E. Yarrington, Deverick J. Anderson, Emily C. O'Brien, Benjamin Alan Goldstein:
Using natural language processing and structured medical data to phenotype patients hospitalized due to COVID-19. - Yizheng Wang, Jia Sun, Zaiyuan Lu, Pipi Hu, Yinghua Liu:
DCM: Deep complementary energy method based on the principle of minimum complementary energy. - Yasong Feng, Weijian Luo, Yimin Huang, Tianyu Wang:
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization. - Dongsheng Xu, Qingbao Huang, Feng Shuang, Yi Cai:
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps. - Zihu Wang, Yu Wang, Hanbin Hu, Peng Li:
Contrastive Learning with Consistent Representations. - Abubakar Siddique, Will N. Browne, Gina M. Grimshaw:
Lateralization in Agents' Decision Making: Evidence of Benefits/Costs from Artificial Intelligence. - Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song:
Multiplier Bootstrap-based Exploration. - Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama:
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits. - Jing Yuan, Shaojie Tang:
Group Fairness in Non-monotone Submodular Maximization. - Qun Li, Chandra Thapa, Lawrence Ong, Yifeng Zheng, Hua Ma, Seyit Ahmet Çamtepe, Anmin Fu, Yansong Gao:
Vertical Federated Learning: Taxonomies, Threats, and Prospects. - Chuan Zhang, Daoxin Zhang, Ruixiu Zhang, Jiawei Li, Jianke Zhu:
Bridging the Emotional Semantic Gap via Multimodal Relevance Estimation. - J. J. Tong, W. Zhang, F. Liao, C. F. Li, Y. F. Zhang:
Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model. - Austin Allen, Eric Pabón-Cancel, Fernando Piñero-González, Lesley Polanco:
Improving the dimension bound of Hermitian Lifted Codes. - Beiran Chen, Frank Slyne, Marco Ruffini:
Energy Efficient SDN and SDR Joint Adaptation of CPU Utilization Based on Experimental Data Analytics. - Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang:
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents. - Michael Beukman, Manuel Fokam, Marcel Kruger, Guy Axelrod, Muhammad Umair Nasir, Branden Ingram, Benjamin Rosman, Steven James:
Hierarchically Composing Level Generators for the Creation of Complex Structures. - Fanglan Zheng, Menghan Wang, Kun Li, Jiang Tian, Xiaojia Xiang:
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling. - (Withdrawn) Deep Reinforcement Learning for Online Error Detection in Cyber-Physical Systems.
- Minkyoung Cho, Kang G. Shin:
DynaMIX: Resource Optimization for DNN-Based Real-Time Applications on a Multi-Tasking System. - Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu:
Uniform tensor clustering by jointly exploring sample affinities of various orders. - Piero Molino, Jacopo Tagliabue:
Witgenstein's influence on artificial intelligence. - Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim:
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. - Yingying Zhu, Hongji Yang, Yuxin Lu, Qiang Huang:
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization. - Brian Hsu, Xiaotong Chen, Ying Han, Hongseok Namkoong, Kinjal Basu:
An Operational Perspective to Fairness Interventions: Where and How to Intervene. - Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar:
ResMem: Learn what you can and memorize the rest. - Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner:
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. - Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan:
Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field. - Zihan Zhou, Tianshu Yu:
Learning to Decouple Complex Systems. - Manuj Malik, Richard Johansson:
Controlling for Stereotypes in Multimodal Language Model Evaluation. - Adrien Benamira, Tristan Guérand, Thomas Peyrin, Sayandeep Saha:
TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture. - Daniel Gritzner, Jörn Ostermann:
SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation. - Xu Shen, Francesco Borrelli:
Reinforcement Learning and Distributed Model Predictive Control for Conflict Resolution in Highly Constrained Spaces.