NeurIPS

Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement Learning

Hyemin Yu, Hong-Chuan Yang

机构 * University of Victoria（维多利亚大学） 纠错

Comments Accepted at the AI4NextG Workshop, NeurIPS 2025

Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits

Xuheng Li, Quanquan Gu

Comments 19 pages, 2 figures, 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

Geometric Data Valuation via Leverage Scores

Rodrigo Mendoza-Smith

机构 * Isotropic 纠错

Comments MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making (NeurIPS 2025)

LLM Probing with Contrastive Eigenproblems: Improving Understanding and Applicability of CCS

Stefan F. Schouten, Peter Bloem

机构 * Vrije Universiteit Amsterdam（阿姆斯特丹自由大学） 纠错

Comments Accepted to the Mechanistic Interpretability Workshop at NeurIPS 2025

Energy Loss Functions for Physical Systems

Sékou-Oumar Kaba, Kusha Sareen, Daniel Levy, Siamak Ravanbakhsh

机构 * McGill University（麦吉尔大学） ； Mila - Quebec Artificial Intelligence Institute（魁北克人工智能研究所） 纠错

Comments 10 pages, 4 figures, NeurIPS 2025

Predicting Microbial Interactions Using Graph Neural Networks

Elham Gholamzadeh, Kajal Singla, 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研究中心） ； Dresden/Leipzig, Germany（德累斯顿/莱比锡，德国） 纠错

Comments 9 pages, 3 figures, NeurIPS 2025 Workshop New Perspectives in Graph Machine Learning

Neural Field Transformations for Hybrid Monte Carlo: Architectural Design and Scaling

Jinchen He, Xiao-Yong Jin, James C. Osborn, Yong Zhao

Comments Accepted to the NeurIPS Machine Learning and the Physical Sciences workshop 2025

Neural Green's Functions

Seungwoo Yoo, Kyeongmin Yeo, Jisung Hwang, Minhyuk Sung

机构 * KAIST（韩国国立科学技术院） 纠错

Comments NeurIPS 2025

Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals

Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev

Comments Accepted by NeurIPS 2025 Workshop on Efficient Reasoning

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin

机构 * Microsoft Research Redmond（微软研究院红mond分部） ； Tsinghua University（清华大学） ； KU Leuven（鲁文大学） 纠错

Comments Published in NeurIPS 2025

Understanding Ice Crystal Habit Diversity with Self-Supervised Learning

Joseph Ko, Hariprasath Govindarajan, Fredrik Lindsten, Vanessa Przybylo, Kara Sulia, Marcus van Lier-Walqui, Kara Lamb

机构 * Columbia University（哥伦比亚大学） ； Qualcomm Auto Ltd Sweden Filial（高通美国有限公司瑞典分部） ； Linköping University（_linköping大学） ； University at Albany（阿尔巴尼大学） 纠错

Comments Accepted to NeurIPS 2025 Workshop: Tackling Climate Change with Machine Learning

SAND-Math: Using LLMs to Generate Novel, Difficult and Useful Mathematics Questions and Answers

Chaitanya Manem, Pratik Prabhanjan Brahma, Prakamya Mishra, Zicheng Liu, Emad Barsoum

机构 * Advanced Micro Devices, Inc. (AMD)（先进微器件公司（AMD）） 纠错

Comments Accepted at MATH-AI workshop, NeurIPS 2025

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras

Lingdong Kong, Dongyue Lu, Ao Liang, Rong Li, Yuhao Dong, Tianshuai Hu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau

机构 * NUS（新加坡国立大学） ； HKUST(GZ)（香港科技大学（广州）） ； NTU（南洋理工大学） ； HKUST（香港科技大学） ； I 2 R, A*STAR（I2R, A*STAR） ； IPAL, CNRS IRL 2955, Singapore（IPAL, CNRS IRL 2955, 新加坡） ； CerCo, CNRS UMR 5549, Université Toulouse III（CerCo, CNRS UMR 5549, 法国图卢兹第三大学） 纠错

Comments NeurIPS 2025 Spotlight; 43 pages, 17 figures, 16 tables; Project Page at https://talk2event.github.io

Neural Collapse in Cumulative Link Models for Ordinal Regression: An Analysis with Unconstrained Feature Model

Chuang Ma, Tomoyuki Obuchi, Toshiyuki Tanaka

机构 * Kyoto University（京都大学） ； RIKEN AIP（日本科学技术研究所AIP） 纠错

Comments To appear in NeurIPS 2025 (camera-ready). 48 pages

Towards Predicting Any Human Trajectory In Context

Ryo Fujii, Hideo Saito, Ryo Hachiuma

机构 * Keio University（庆应大学） ； NVIDIA（英伟达） 纠错

Comments NeurIPS 2025

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking

Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

机构 * Rensselaer Polytechnic Institute（罗切斯特理工学院） ； University of Toronto（多伦多大学） ； Pennsylvania State University（宾夕法尼亚州立大学） ； AT&T Chief Data Office（AT&T首席数据办公室） ； Griffith University（格里菲斯大学） 纠错

Comments Accepted at NeurIPS 2025 Datasets and Benchmarks Track

DreamPRM: Domain-Reweighted Process Reward Model for Multimodal Reasoning

Qi Cao, Ruiyi Wang, Ruiyi Zhang, Sai Ashish Somayajula, Pengtao Xie

机构 * University of California, San Diego（加州大学圣地亚哥分校） ； Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)（穆罕默德·本·扎耶德人工智能大学） 纠错

Comments 28 pages, 10 figures, to appear in NeurIPS 2025 (Conference on Neural Information Processing Systems)

Emergence and scaling laws in SGD learning of shallow neural networks

Yunwei Ren, Eshaan Nichani, Denny Wu, Jason D. Lee

机构 * Princeton University（普林斯顿大学） ； New York University（纽约大学） ； Flatiron Institute（Flatiron研究所） 纠错

Comments NeurIPS 2025

Training Language Models to Reason Efficiently

Daman Arora, Andrea Zanette

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments NeurIPS 2025

Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention

Arya Honarpisheh, Mustafa Bozdag, Octavia Camps, Mario Sznaier

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） 纠错

Comments Accepted at NeurIPS 2025