Oral Papers
1,594 papers found • Page 31 of 32
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
Daniel McDuff, Tim Korjakow, Scott Cambo et al.
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input
Andi Peng, Yuying Sun, Tianmin Shu et al.
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng, Yongyuan Liang, xiyao wang et al.
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks
Junwei Su, Difan Zou, Chuan Wu
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning
Haoqi Yuan, Zhancun Mu, Feiyang Xie et al.
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
Ruijie Zheng, Ching-An Cheng, Hal Daumé et al.
Probabilistic Modeling of Interpersonal Coordination Processes
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy et al.
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
Hao Wu, Huiyuan Wang, kun wang et al.
Proper Laplacian Representation Learning
Diego Gomez, Michael Bowling, Marlos C. Machado
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Sumeet Batra, Bryon Tjanaka, Matthew Fontaine et al.
Pseudo-Generalized Dynamic View Synthesis from a Video
Xiaoming Zhao, R Colburn, Fangchang Ma et al.
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Zeyu Yang, Hongye Yang, Zijie Pan et al.
Reasoning with Latent Diffusion in Offline Reinforcement Learning
Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella et al.
Reconciling Spatial and Temporal Abstractions for Goal Representation
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance
Jakub Svoboda, Suguman Bansal, Krishnendu Chatterjee
ResFields: Residual Neural Fields for Spatiotemporal Signals
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys et al.
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
Arshia Afzal, Grigorios Chrysos, Volkan Cevher et al.
RLIF: Interactive Imitation Learning as Reinforcement Learning
Jianlan Luo, Perry Dong, Yuexiang Zhai et al.
Robust Inverse Constrained Reinforcement Learning under Model Misspecification
Sheng Xu, Guiliang Liu
Rolling Diffusion Models
David Ruhe, Jonathan Heek, Tim Salimans et al.
Scaling physics-informed hard constraints with mixture-of-experts
Nithin Chalapathi, Yiheng Du, Aditi Krishnapriyan
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Weirui Ye et al.
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Xinyuan Chen, Yaohui Wang, Lingjun Zhang et al.
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
Hyunki Seong, Hyunchul Shim
Semantically-correlated memories in a dense associative model
Thomas F Burns
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction
Zhiqian Lan, Yuxuan Jiang, Yao Mu et al.
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya A. Ramesh, Kenny Young, Louis Kirsch et al.
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States
Noga Mudrik, Gal Mishne, Adam Charles
Simple Hierarchical Planning with Diffusion
Chang Chen, Fei Deng, Kenji Kawaguchi et al.
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang, Jacob Helwig, Yuchao Lin et al.
Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet et al.
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James et al.
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices
Nathaniel Cohen, Vladimir Kulikov, Matan Kleiner et al.
Social-Transmotion: Promptable Human Trajectory Prediction
Saeed Saadatnejad, Yang Gao, Kaouther Messaoud et al.
Soft Contrastive Learning for Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee
Space and time continuous physics simulation from partial observations
Steeven Janny, Madiha Nadri, Julie Digne et al.
SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters
Shengsheng Lin, Weiwei Lin, Wentai Wu et al.
Spatially-Aware Transformers for Embodied Agents
Junmo Cho, Jaesik Yoon, Sungjin Ahn
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
Yizhou Jiang, Kunlin Hu, Tianren Zhang et al.
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan, Chenyang Shao, Jingtao Ding et al.
Spike Distance Function as a Learning Objective for Spike Prediction
Kevin Doran, Marvin Seifert, Carola Yovanovich et al.
Stabilizing Backpropagation Through Time to Learn Complex Physics
Patrick Schnell, Nils Thuerey
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
Yu-Hsuan Wu, Jerry Hu, Weijian Li et al.
State-Constrained Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire, Lei Zhang, Zhe Xu et al.
State Representation Learning Using an Unbalanced Atlas
Li Meng, Morten Goodwin, Anis Yazidi et al.
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
Pum Jun Kim, Seojun Kim, Jaejun Yoo
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Yuanhao Xiong, Long Zhao, Boqing Gong et al.
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Yihuan Mao, Chengjie Wu, Xi Chen et al.