ICML

Can Image-To-Video Models Simulate Pedestrian Dynamics?

Aaron Appelle, Jerome P. Lynch

机构 * Duke University（杜克大学） 纠错

Comments Appeared in the ICML 2025 Workshop on Building Physically Plausible World Models, July 2025, https://physical-world-modeling.github.io/

Graph4MM: Weaving Multimodal Learning with Structural Information

Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Meta AI ； Rutgers University（罗格斯大学） 纠错

Comments ICML 2025

Progressive Tempering Sampler with Diffusion

Severi Rissanen, RuiKang OuYang, Jiajun He, Wenlin Chen, Markus Heinonen, Arno Solin, José Miguel Hernández-Lobato

机构 * Department of Computer Science, Aalto University, Finland（阿姆斯特丹大学计算机科学系，芬兰） ； Department of Engineering, University of Cambridge, United Kingdom（剑桥大学工程系，英国） ； Department of Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany（智能系统研究所经验推断系，德国） 纠错

Comments Accepted for publication at ICML 2025

General agents contain world models

Jonathan Richens, David Abel, Alexis Bellot, Tom Everitt

机构 * Google DeepMind（谷歌DeepMind） 纠错

Comments Accepted ICML 2025. Typos corrected

Gradient Boosting Reinforcement Learning

Benjamin Fuhrer, Chen Tessler, Gal Dalal

机构 * NVIDIA, Tel-Aviv, Israel（NVIDIA，以色列特拉维夫） ； NVIDIA Research, Tel-Aviv, Israel（NVIDIA研究） 纠错

Comments to be published in the Forty-Second International Conference on Machine Learning

Journal ref Proceedings of the 42nd International Conference on Machine Learning ICML 2025, PMLR 267, 17960-17985, Vancouver Canada, 13-19 July 2025

Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation

Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A Ramirez, Christopher K Harris, A. Rupam Mahmood, Dale Schuurmans

机构 * Department of Computing Science, University of Alberta（谷歌DeepMind） ； School of Data Science, The Chinese University of Hong Kong, Shenzhen ； School of Computational Science ； Google DeepMind ； CIFAR AI Chair, Amii ； The work was done while the author was at Google. 纠错

Journal ref Proceedings of the 41 st International Conference on Machine Learning, 2024