Oral Papers
1,594 papers found • Page 17 of 32
Conference
Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
Devdhar Patel, Hava Siegelmann
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination’s Impact on Machine Translation
Muhammed Yusuf Kocyigit, Eleftheria Briakou, Daniel Deutsch et al.
Over-squashing in Spatiotemporal Graph Neural Networks
Ivan Marisca, Jacob Bamberger, Cesare Alippi et al.
Pan-LUT: Efficient Pan-sharpening via Learnable Look-Up Tables
Zhongnan Cai, Yingying Wang, Hui Zheng et al.
PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
Guilin Li, Yun Zhang, Xiuyuan Chen et al.
PaperBench: Evaluating AI’s Ability to Replicate AI Research
Giulio Starace, Oliver Jaffe, Dane Sherburn et al.
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu, Edward Chien, Kristjan Greenewald
Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
Erez Peterfreund, Ofir Lindenbaum, Yuval Kluger et al.
PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks
Matthew Chang, Gunjan Chhablani, Alexander Clegg et al.
PASS: Path-selective State Space Model for Event-based Recognition
Jiazhou Zhou, Kanghao Chen, Lei Zhang et al.
Patch-wise Structural Loss for Time Series Forecasting
Dilfira Kudrat, Zongxia Xie, Yanru Sun et al.
PC-Net: Weakly Supervised Compositional Moment Retrieval via Proposal-Centric Network
Mingyao Zhou, Hao Sun, Wei Xie et al.
PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations
Benjamin Holzschuh, Qiang Liu, Georg Kohl et al.
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay Purushothaman Namboodiri
PEINR: A Physics-enhanced Implicit Neural Representation for High-Fidelity Flow Field Reconstruction
Liming Shen, Liang Deng, Chongke Bi et al.
Perception Encoder: The best visual embeddings are not at the output of the network
Daniel Bolya, Po-Yao Huang, Peize Sun et al.
PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi et al.
Perceptually Constrained Precipitation Nowcasting Model
Wenzhi Feng, Xutao Li, Zhe Wu et al.
Periodic Skill Discovery
Jonghae Park, Daesol Cho, Jusuk Lee et al.
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning
Torben Berndt, Benjamin Walker, Tiexin Qin et al.
Personality Alignment of Large Language Models
Minjun Zhu, Yixuan Weng, Linyi Yang et al.
Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach
Yuchen Wu, Edward Sun, Kaijie Zhu et al.
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa, Makoto Yamada, Han Bao et al.
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng, Qi Wang, Mengtao Yan et al.
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang, Chuhao Chen, Yiming Huang et al.
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
PhySense: Sensor Placement Optimization for Accurate Physics Sensing
Yuezhou Ma, Haixu Wu, Hang Zhou et al.
Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
Shuhai Zhang, ZiHao Lian, Jiahao Yang et al.
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models
Congcong Zhu, Xiaoyan Xu, Jiayue Han et al.
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning
Ruiqi Ni, zherong pan, Ahmed Hussain Qureshi
Physics-informed Value Learner for Offline Goal-Conditioned Reinforcement Learning
Vittorio Giammarino, Ruiqi Ni, Ahmed Qureshi
PICASO: Permutation-Invariant Context Composition with State Space Models
Tian Yu Liu, Alessandro Achille, Matthew Trager et al.
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
Huaguan Chen, Yang Liu, Hao Sun
PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series in Typhoon Forecasting
Haobo Li, Eunseo Jung, Zixin CHEN et al.
Place Cells as Multi-Scale Position Embeddings: Random Walk Transition Kernels for Path Planning
Minglu Zhao, Dehong Xu, Deqian Kong et al.
PlayerOne: Egocentric World Simulator
Yuanpeng Tu, Hao Luo, Xi Chen et al.
PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
Yan Ru Pei, Olivier Coenen
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models
Tonglong Wei, Yan Lin, Youfang Lin et al.
PMLF: A Physics-Guided Multiscale Loss Framework for Structurally Heterogeneous Time Series
Xinghong Chen, Weilin Wu, Kunping Yang et al.
PMQ-VE: Progressive Multi-Frame Quantization for Video Enhancement
ZhanFeng Feng, Long Peng, Xin Di et al.
POCO: Scalable Neural Forecasting through Population Conditioning
Yu Duan, Hamza Chaudhry, Misha B Ahrens et al.
Policy Gradient Methods Converge Globally in Imperfect-Information Extensive-Form Games
Fivos Kalogiannis, Gabriele Farina
Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
Tian-Zuo Wang, Wen-Bo Du, Zhi-Hua Zhou
Population Transformer: Learning Population-level Representations of Neural Activity
Geeling Chau, Christopher Wang, Sabera Talukder et al.
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi et al.
Position: AI Agents Need Authenticated Delegation
Tobin South, Samuele Marro, Thomas Hardjono et al.
Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation
D. Sculley, William Cukierski, Phil Culliton et al.
Position: AI Safety should prioritize the Future of Work
Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty
Position: Bridge the Gaps between Machine Unlearning and AI Regulation
Bill Marino, Meghdad Kurmanji, Nicholas Lane
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew C. Cullen, Paul MONTAGUE, Sarah Erfani et al.