ICML

Central Path Proximal Policy Optimization

Nikola Milosevic, Johannes Müller, Nico Scherf

机构 * Max Planck Institute for Human Cognitive and Brain Sciences（马克斯·普朗克人类认知与脑科学研究所） ； Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)（可扩展数据与人工智能中心） ； Institut für Mathematik, Technische Universität Berlin（柏林技术大学数学研究所） 纠错

Journal ref The Exploration in AI Today Workshop at ICML 2025

A Closer Look at Multimodal Representation Collapse

Abhra Chaudhuri, Anjan Dutta, Tu Bui, Serban Georgescu

机构 * Fujitsu Research of Europe（富士通欧洲研究） 纠错

Comments International Conference on Machine Learning (ICML) 2025 (Spotlight)

Neighbour-Driven Gaussian Process Variational Autoencoders for Scalable Structured Latent Modelling

Xinxing Shi, Xiaoyu Jiang, Mauricio A. Álvarez

机构 * Department of Computer Science, University of Manchester, Manchester, UK（计算机科学系，曼彻斯特大学，曼彻斯特，英国） 纠错

Comments ICML 2025

Sparse Training from Random Initialization: Aligning Lottery Ticket Masks using Weight Symmetry

Mohammed Adnan, Rohan Jain, Ekansh Sharma, Rahul G. Krishnan, Yani Ioannou

机构 * Schulich School of Engineering, University of Calgary ； Vector Institute for AI ； Dept.\ of Computer Science, University of Toronto 纠错

Comments Accepted at ICML 2025

SAND: One-Shot Feature Selection with Additive Noise Distortion

Pedram Pad, Hadi Hammoud, Mohamad Dia, Nadim Maamari, L. Andrea Dunbar

机构 * EPFL（瑞士洛桑联邦理工学院） 纠错

Comments Proceedings of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada. PMLR 267, 2025

Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination

Zhihan Zhu, Yanhao Zhang, Yong Xia

Comments Accepted to ICML 2025

Embedding Safety into RL: A New Take on Trust Region Methods

Nikola Milosevic, Johannes Müller, Nico Scherf

机构 * Max Planck Institute for Human Cognitive and Brain Sciences（马克斯·普朗克人类认知与脑科学研究所） ； Center for Scalable Data Analytics and Artificial Intelligence（可扩展数据分析与人工智能中心） 纠错

Comments Accepted at ICML 2025

Journal ref Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada. PMLR 267, 2025

RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning

Jason Chan, Robert Gaizauskas, Zhixue Zhao

机构 * University of Sheffield, Sheffield, UK（谢菲尔德大学） 纠错

Comments Accepted by ICML 2025

SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression

Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi

机构 * University of Toronto（多伦多大学） ； Google DeepMind（谷歌DeepMind） ； NVIDIA Research（NVIDIA研究） 纠错

Comments Published at Proceedings of the 42 nd International Conference on Machine Learning (ICML 2025)