ICML

GPT, But Backwards: Exactly Inverting Language Model Outputs

Adrians Skapars, Edoardo Manino, Youcheng Sun, Lucas C. Cordeiro

Comments 7 pages, ICML 2025 Workshop on Reliable and Responsible Foundation Models

Understanding and Mitigating Memorization in Diffusion Models for Tabular Data

Zhengyu Fang, Zhimeng Jiang, Huiyuan Chen, Xiao Li, Jing Li

机构 * Department of Computer ； Data Sciences, Case Western Reserve University, Cleveland, USA ； Department of Computer Science \& Engineering, Texas A\&M University, College Station, USA ； Department of Biochemistry, Case Western Reserve University, Cleveland, USA ； Center for RNA Science ； Therapeutics, Case Western Reserve University, Cleveland, USA ； Department of Biomedical Engineering, Case Western Reserve University, Cleveland, USA 纠错

Comments Published in ICML 2025 (PMLR Volume 267): https://proceedings.mlr.press/v267/fang25f.html

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

Probably Approximately Global Robustness Certification

Peter Blohm, Patrick Indri, Thomas Gärtner, Sagar Malhotra

Comments ICML 2025

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces

Rashid Mushkani, Shravan Nayak, Hugo Berard, Allison Cohen, Shin Koseki, Hadrien Bertrand

机构 * Mila–Quebec AI Institute（魁北克AI研究所） 纠错

Comments ICML 2025

The Right to AI

Rashid Mushkani, Hugo Berard, Allison Cohen, Shin Koeski

机构 * Mila – Quebec AI Institute（魁北克AI研究所） 纠错

Comments ICML 2025

Conceptual Belief-Informed Reinforcement Learning

Xingrui Gu, Chuyi Jiang, Laixi Shi

机构 * University of California, Berkeley（加州大学伯克利分校） ； Columbia University（哥伦比亚大学） ； Johns Hopkins University（约翰霍普金斯大学） 纠错

Comments Accepted by ICML 2025 Workshop on Models of Human Feedback for AI Alignment

Journal ref ICML 2025 Workshop on Models of Human Feedback for AI Alignment

Optimization without Retraction on the Random Generalized Stiefel Manifold

Simon Vary, Pierre Ablin, Bin Gao, P. -A. Absil

机构 * ICTEAM Institute, UCLouvain（ICTEAM学院，UCLouvain大学） ； Department of Statistics, University of Oxford（统计系，牛津大学） ； Apple Machine Learning Group（苹果机器学习小组） ； Academy of Mathematics and Systems Science, Chinese Academy of Sciences（数学与系统科学学院，中国科学院） 纠错

Comments This v4 is a corrected version of the ICML 2024 paper (PMLR 235:49226-49248); see the errata at the end for the list of changes

Journal ref Proceedings of the 41st International Conference on Machine Learning (ICML 2024), PMLR 235 (2024), 49226-49248