NeurIPS

Intrinsic Dimension Estimation for Radio Galaxy Zoo using Diffusion Models

Joan Font-Quer Roset, Devina Mohan, Anna Scaife

机构 * Department of Computer Science（计算机科学系） ； The University of Manchester（曼彻斯特大学） ； Department of Physics and Astronomy（物理与天文学系） ； The Alan Turing Institute（艾伦·图灵研究所） 纠错

Comments 9 pages, 5 figures, 2 tables, submitted to NeurIPS 2025 ML4PS Workshop

Journal ref NeurIPS 2025 Workshop on ML for Physical Sciences

Power law attention biases for molecular transformers

Jay Shen, Yifeng Tang, Andrew Ferguson

Comments Machine Learning and the Physical Sciences Workshop at NeurIPS 2025

Data-efficient U-Net for Segmentation of Carbide Microstructures in SEM Images of Steel Alloys

Alinda Ezgi Gerçek, Till Korten, Paul Chekhonin, Maleeha Hassan, Peter Steinbach

机构 * Helmholtz AI Team Matter (FWCC-A)（海德堡人工智能团队物质（FWCC-A）） ； Helmholtz-Zentrum Dresden-Rossendorf（德罗斯登-罗斯托克研究中心） ； Institute of Resource Ecology, Structural Materials Department（资源生态研究所，结构材料部门） 纠错

Journal ref Machine Learning and the Physical Sciences Workshop @ NeurIPS 2025 https://openreview.net/forum?id=xYY5pn4f8N

Sparse Methods for Vector Embeddings of TPC Data

Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan, Ryan Krupp, Chris Wrede, Saiprasad Ravishankar, Connor L. Cross, Hoi Yan Ian Heung, Andrew J. Jones, Benjamin Votaw

机构 * Michigan State University（密歇根州立大学） ； Davidson College（戴维森学院） 纠错

Comments NeurIPS Machine Learning and the Physical Sciences Workshop 2025

Power Ensemble Aggregation for Improved Extreme Event AI Prediction

Julien Collard, Pierre Gentine, Tian Zheng

机构 * Ecole Polytechnique（巴黎政治学院） ； LEAP, Columbia University（哥伦比亚大学LEAP） ； Department of Statistics, Columbia University（哥伦比亚大学统计系） 纠错

Comments Accepted for the NeurIPS 2025 ML4PS workshop

One-Shot Transfer Learning for Nonlinear PDEs with Perturbative PINNs

Samuel Auroy, Pavlos Protopapas

机构 * ENSTA Paris（巴黎国立应用科学大学） ； Harvard University（哈佛大学） 纠错

Comments Accepted at Machine Learning and the Physical Sciences Workshop, NeurIPS 2025

Sheaf Cohomology of Linear Predictive Coding Networks

Jeffrey Seely

机构 * Sakana AI 纠错

Comments Accepted to NeurIPS 2025 Workshop on Symmetry and Geometry in Neural Representations

Sequentially Auditing Differential Privacy

Tomás González, Mateo Dulce-Rubio, Aaditya Ramdas, Mónica Ribero

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Google Research（谷歌研究） 纠错

Comments Accepted in NeurIPS 2025

Neuro-Spectral Architectures for Causal Physics-Informed Networks

Arthur Bizzi, Leonardo M. Moreira, Márcio Marques, Leonardo Mendonça, Christian Júnior de Oliveira, Vitor Balestro, Lucas dos Santos Fernandez, Daniel Yukimura, Pavel Petrov, João M. Pereira, Tiago Novello, Lucas Nissenbaum

机构 * École Polytechnique Fédérale de Lausanne (EPFL)（联邦理工学院洛桑校区） ； Instituto de Matemática Pura e Aplicada (IMPA)（数学与应用数学研究所） ； Universidade do Estado do Rio de Janeiro (UERJ)（里约热内卢州立大学） ； Laboratório Nacional de Computação Científica (LNCC)（国家科学计算实验室） ； University of Georgia (UGA)（佐治亚大学） 纠错

Comments Accepted at NeurIPS 2025 (poster). 24 pages, 10 figures

Preserving Task-Relevant Information Under Linear Concept Removal

Floris Holstege, Shauli Ravfogel, Bram Wouters

机构 * University of Amsterdam, Department of Quantitative Economics（阿姆斯特丹大学量化经济学系） ； New York University, Center for Data Science（纽约大学数据科学中心） ； Tinbergen Institute（廷伯根研究所） 纠错

Comments Published at NeurIPS 2025

BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading

Jonathan Schmidt, Simon Giebenhain, Matthias Niessner

机构 * Technical University of Munich（慕尼黑技术大学） 纠错

Comments NeurIPS 2025, Project Page: see https://jonathsch.github.io/becominglit/ , YouTube Video: see https://youtu.be/xPyeIqKdszA

Latent Principle Discovery for Language Model Self-Improvement

Keshav Ramji, Tahira Naseem, Ramón Fernandez Astudillo

机构 * IBM Research AI（IBM人工智能研究） 纠错

Comments Accepted at NeurIPS 2025

Nonlinear Laplacians: Tunable principal component analysis under directional prior information

Yuxin Ma, Dmitriy Kunisky

Comments 54 pages, 6 figures, closest to version to be published in NeurIPS 2025

Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints

Abhishek Sinha, Rahul Vaze

Comments To appear in NeurIPS 2025

The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations

Suyash Fulay, Dimitra Dimitrakopoulou, Deb Roy

机构 * Center for Constructive Communication（建设性沟通中心） ； MIT（麻省理工学院） 纠错

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: PersonaLLM: Workshop on LLM Persona Modeling

Enhancing Demand-Oriented Regionalization with Agentic AI and Local Heterogeneous Data for Adaptation Planning

Seyedeh Mobina Noorani, Shangde Gao, Changjie Chen, Karla Saldana Ochoa

机构 * College of Design, Construction and Planning, University of Florida（佛罗里达大学设计、建设与规划学院） ； Department of Electrical and Computer Engineering, University of Florida（佛罗里达大学电气与计算机工程系） ； Florida Institute for Built Environment Resilience (FIBER), University of Florida（佛罗里达大学环境韧性研究所） 纠错

Comments Accepted by NeurIPS 2025 UrbanAI Workshop as poster

Towards Universal Neural Operators through Multiphysics Pretraining

Mikhail Masliaev, Dmitry Gusarov, Ilya Markov, Alexander Hvatov

机构 * ITMO University（ITMO大学） 纠错

Comments 5 pages, 1 figure, accepted for Machine Learning and the Physical Sciences Workshop, NeurIPS 2025

Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs

Ajwad Abrar, Nafisa Tabassum Oeshy, Prianka Maheru, Farzana Tabassum, Tareque Mohmud Chowdhury

机构 * Islamic University of Technology（伊斯兰技术大学） 纠错

Comments Accepted at the 5th Muslims in Machine Learning (MusIML) Workshop, co-located with NeurIPS 2025

Fast Data Attribution for Text-to-Image Models

Sheng-Yu Wang, Aaron Hertzmann, Alexei A Efros, Richard Zhang, Jun-Yan Zhu

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Adobe Research（Adobe研究） ； UC Berkeley（伯克利大学） 纠错

Comments NeurIPS 2025 camera ready. Project page: https://peterwang512.github.io/FastGDA

Saying the Unsaid: Revealing the Hidden Language of Multimodal Systems Through Telephone Games

Juntu Zhao, Jialing Zhang, Chongxuan Li, Dequan Wang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Renmin University of China（中国人民大学） 纠错

Comments Accepted by NeurIPS 2025 MTI-LLM Workshop

Bayesian Evaluation of Large Language Model Behavior

Rachel Longjohn, Shang Wu, Saatvik Kher, Catarina Belém, Padhraic Smyth

机构 * Department of Statistics, University of California, Irvine（统计系，加州大学伊文斯分校） ； Department of Computer Science, University of California, Irvine（计算机科学系，加州大学伊文斯分校） 纠错

Comments Accepted to NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling

AttentiveGRUAE: An Attention-Based GRU Autoencoder for Temporal Clustering and Behavioral Characterization of Depression from Wearable Data

Nidhi Soley, Vishal M Patel, Casey O Taylor

Comments 5 pages, 3 figures, 2 tables, Accepted NeurIPS (TS4H Workshop) 2025

Robustifying Learning-Augmented Caching Efficiently without Compromising 1-Consistency

Peng Chen, Hailiang Zhao, Jiaji Zhang, Xueyan Tang, Yixuan Wang, Shuiguang Deng

Comments Accepted to NeurIPS 2025. https://neurips.cc/virtual/2025/poster/116615

Motion Matters: Compact Gaussian Streaming for Free-Viewpoint Video Reconstruction

Jiacong Chen, Qingyu Mao, Youneng Bao, Xiandong Meng, Fanyang Meng, Ronggang Wang, Yongsheng Liang

机构 * College of Applied Technology, Shenzhen University（深圳大学应用技术学院） ； College of Big Data and Internet, Shenzhen Technology University（深圳科技大学大数据与互联网学院） ； College of Electronics and Information Engineering, Shenzhen University（深圳大学电子与信息工程学院） ； Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系） ； Pengcheng Laboratory, Shenzhen（深圳鹏城实验室） ； School of Electronic and Computer Engineering, Peking University（北京大学电子与计算机工程学院） 纠错

Comments Accepted by NeurIPS 2025

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning

Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Princeton University（普林斯顿大学） 纠错

Comments NeurIPS 2025 Spotlight

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

Yinlin Zhu, Xunkai Li, Jishuo Jia, Miao Hu, Di Wu, Meikang Qiu

机构 * Sun Yat-sen University（中山大学） ； Beijing Institute of Technology（北京理工大学） ； Shandong University（山东大学） ； Augusta University（奥古斯塔大学） 纠错

Comments Accepted by NeurIPS 2025