ICML

ReferSplat: Referring Segmentation in 3D Gaussian Splatting

Shuting He, Guangquan Jie, Changshuo Wang, Yun Zhou, Shuming Hu, Guanbin Li, Henghui Ding

机构 * MoE Key Laboratory of Interdisciplinary Research of Computation and Economics（跨学科计算与经济学研究实验室） ； Shanghai University of Finance（上海财经大学） ； Institute of Big Data, College of Computer Science and Artificial Intelligence（大数据研究所，计算机科学与人工智能学院） ； Fudan University, Shanghai, China（复旦大学，上海，中国） ； Nanyang Technological University, Singapore（南洋理工大学，新加坡） ； Sun Yat-sen University, Guangzhou, China（中山大学，广州，中国） 纠错

Comments ICML 2025 Oral, Code: https://github.com/heshuting555/ReferSplat

Parity Requires Unified Input Dependence and Negative Eigenvalues in SSMs

Behnoush Khavari, Mehran Shakerinava, Jayesh Khullar, Jerry Huang, François Rivest, Siamak Ravanbakhsh, Sarath Chandar

机构 * Chandar Research Lab（昌达尔研究实验室） ； Mila - Quebec AI Institute（蒙特利尔AI研究所） ； Queens University（皇后大学） ； CIFAR AI Chair（CIFAR人工智能主席） ； McGill University（麦吉尔大学） ； Royal Military College of Canada（加拿大皇家军事学院） 纠错

Comments 5 pages. Accepted at ICML 2025 Workshop on Methods and Opportunities at Small Scale

Optimal and Practical Batched Linear Bandit Algorithm

Sanghoon Yu, Min-hwan Oh

机构 * snu（首尔国立大学） 纠错

Comments Accepted at ICML 2025

Position: Certified Robustness Does Not (Yet) Imply Model Security

Andrew C. Cullen, Paul Montague, Sarah M. Erfani, Benjamin I. P. Rubinstein

机构 * School of Computing and Information Systems, University of Melbourne, Australia（计算与信息系统学院，墨尔本大学，澳大利亚） 纠错

Comments 9 pages, ICML, 2025

Winner-takes-all for Multivariate Probabilistic Time Series Forecasting

Adrien Cortés, Rémi Rehm, Victor Letzelter

Comments ICML 2025

Constrained Hamiltonian Systems on Observation-Induced Fiber Bundles: Theory of Symmetry and Integrability

Dongzhe Zheng

Comments This paper establishes the complete mathematical theory underlying the practical framework presented in "Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures" (ICML 2025 (Forty-Second International Conference on Machine Learning) Spotlight, top 2.5% of ~12,000 submissions)

Improving Your Model Ranking on Chatbot Arena by Vote Rigging

Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin

机构 * Sea AI Lab（Sea AI实验室） ； Hong Kong University of Science and Technology（香港科学大学） ； Pennsylvania State University（宾夕法尼亚州立大学） 纠错

Comments ICML 2025

FlatQuant: Flatness Matters for LLM Quantization

Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

机构 * Huawei Noah's Ark Lab（华为诺亚实验室） ； Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院） ； The Chinese University of Hong Kong（香港中文大学） 纠错

Comments 27 pages, accepted to ICML 2025

Rejecting Hallucinated State Targets during Planning

Mingde Zhao, Tristan Sylvain, Romain Laroche, Doina Precup, Yoshua Bengio

机构 * McGill University（麦吉尔大学） ； Mila (Quebec AI Institute)（蒙特利尔AI研究所） ； Google Deepmind（谷歌DeepMind） 纠错

Comments [20250810]: ICML 2025 Camera Ready, https://github.com/mila-iqia/delusions

EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping

Sam Gijsen, Kerstin Ritter

机构 * Charité – Universitätsmedizin Berlin, Department of Psychiatry and Psychotherapy, Berlin, Germany（柏林查理医院医学大学精神病与心理治疗系） ； Hertie Institute for AI in Brain Health, University of Tübingen, Germany（图宾根大学健康人工智能研究所） 纠错

Comments Accepted to ICML 2025

RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design

Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Rex Ying, Bryan Hooi, Pietro Liò

机构 * Yale University（耶鲁大学） ； University of Cambridge (UK)（剑桥大学） ； Lawrence Berkeley National Laboratory（伯克利国家实验室） ； Prescient Design, Genentech, Roche（Prescient Design、基因泰克、罗氏） ； University of Oxford (UK)（牛津大学） ； National University of Singapore（新加坡国立大学） 纠错

Comments Published in Transactions on Machine Learning Research (https://openreview.net/forum?id=wOc1Yx5s09). Also presented as an Oral at Machine Learning in Computational Biology 2024, ICML 2024 Structured Probabilistic Inference & Generative Modeling Workshop, and a Spotlight at ICML 2024 AI4Science Workshop

A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning

Yaxin Hou, Yuheng Jia

机构 * Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, Nanjing, China（新一代人工智能技术及其交叉应用重点实验室（东南大学）） ； School of Computer Science and Engineering, Southeast University, Nanjing, China（计算机科学与工程学院（东南大学）） 纠错

Comments The paper is accepted by ICML 2025

On the Emergence of Position Bias in Transformers

Xinyi Wu, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie

机构 * MIT IDSS \& LIDS ； MIT CSAIL 纠错

Comments ICML 2025 camera-ready