NeurIPS

AdamHD: Decoupled Huber Decay Regularization for Language Model Pre-Training

Fu-Ming Guo, Yingfang Fan

机构 * Stanford University（斯坦福大学） ； Harvard Medical School（哈佛医学院） 纠错

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: GPU-Accelerated and Scalable Optimization (ScaleOpt)

Journal ref 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: GPU-Accelerated and Scalable Optimization (ScaleOpt)

Encoding and Understanding Astrophysical Information in Large Language Model-Generated Summaries

Kiera McCormick, Rafael Martínez-Galarza

机构 * Department of Computer Science（计算机科学系） ； Johns Hopkins University（约翰霍普金斯大学） ； AstroAI Center for Astrophysics（天体物理中心） 纠错

Comments Accepted to the Machine Learning and the Physical Sciences Workshop at NeurIPS 2025, 11 pages, 4 figures

High-resolution weak lensing mass mapping from DES-Y3 data using diffusion-based prior

Supranta S. Boruah, Michael Jacob, Bhuvnesh Jain, Riya Maiya, Raghav Venkataramanan

Comments 6 pages, 3 figures, Accepted at Neurips Machine Learning and the Physical Sciences workshop

BEDLAM2.0: Synthetic Humans and Cameras in Motion

Joachim Tesch, Giorgio Becherini, Prerana Achar, Anastasios Yiannakidis, Muhammed Kocabas, Priyanka Patel, Michael J. Black

机构 * Max Planck Institute for Intelligent Systems（马克斯·普朗克智能系统研究所） ； Meshcapade GmbH（Meshcapade公司） 纠错

Comments NeurIPS 2025 (Datasets and Benchmarks track, oral). Project website: https://bedlam2.is.tue.mpg.de

IBGS: Image-Based Gaussian Splatting

Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez, Miaomiao Liu

机构 * Australian National University（澳大利亚国立大学） ； NVIDIA（英伟达） 纠错

Comments Accepted to NeurIPS 2025

INC: An Indirect Neural Corrector for Auto-Regressive Hybrid PDE Solvers

Hao Wei, Aleksandra Franz, Bjoern List, Nils Thuerey

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

Comments Accepted at NeurIPS 2025. 35 pages, 10 figures

Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions

Yanna Ding, Songtao Lu, Yingdong Lu, Tomasz Nowicki, Jianxi Gao

机构 * Department of Computer Science, Rensselaer Polytechnic Institute（拉特格斯理工学院计算机科学系） ； Department of Computer Science and Engineering, The Chinese University of Hong Kong（香港中文大学计算机科学与工程系） ； Mathematics of Computation, IBM Research（IBM研究院数学部） 纠错

Comments NeurIPS 2025

Not All Deepfakes Are Created Equal: Triaging Audio Forgeries for Robust Deepfake Singer Identification

Davide Salvi, Hendrik Vincent Koops, Elio Quinton

机构 * Universal Music Group（环球音乐集团） 纠错

Comments Accepted for presentation at the NeurIPS 2025 Workshop on Generative and Protective AI for Content Creation (non-archival)

A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models

Kin G. Olivares, Malcolm Wolff, Tatiana Konstantinova, Shankar Ramasubramanian, Boris Oreshkin, Andrew Gordon Wilson, Andres Potapczynski, Willa Potosnak, Michael W. Mahoney, Mengfei Cao, Dmitry Efimov

机构 * Amazon（亚马逊） 纠错

Comments NeurIPS 2025 Workshop on Recent Advances in Time Series Foundation Models (BERT2S)

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions

Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek

机构 * University of Warsaw（华沙大学） ； Warsaw University of Technology（华沙理工大学） ； LMU Munich（慕尼黑大学） ； MCML ； DFKI（德累斯顿大学） ； Bielefeld University（比勒菲尔德大学） 纠错

Comments NeurIPS 2025. Code: https://github.com/hbaniecki/fixlip

Bridging the Gap: Examining Vision Foundation Models for Optical and Radio Astronomy Applications

E. Lastufka, O. Bait, M. Drozdova, V. Kinakh, D. Piras, M. Audard, M. Dessauges-Zavadsky, T. Holotyak, D. Schaerer, S. Voloshynovskiy

Comments 12 pages, 5 figures, submitted to Astronomy and Astrophysics. A previous version of this work was accepted to the Foundation Models for Science Workshop at NeurIPS 2024

Journal ref A&A 703, A217 (2025)

NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval

Junchen Li, Rongzheng Wang, Yihong Huang, Qizhi Chen, Jiasheng Zhang, Shuang Liang

机构 * Institute of Intelligent Computing, University of Electronic Science and Technology of China（电子科技大学智能计算研究院） 纠错

Comments Accepted by NeurIPS 2025

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

机构 * University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

Comments NeurIPS 2025, Project webpage: https://vision.cs.utexas.edu/projects/CrossTrainer/

CTRL-ALT-DECEIT: Sabotage Evaluations for Automated AI R&D

Francis Rhys Ward, Teun van der Weij, Hanna Gábor, Sam Martin, Raja Mehta Moreno, Harel Lidar, Louis Makower, Thomas Jodrell, Lauren Robson

机构 * LawZero ； Apollo Research ； Imperial College London（帝国理工学院伦敦校区） 纠错

Comments 53 pages, 21 figures, 8 tables. Accepted as a spotlight at NeurIPS 2025

Discovering EV Charging Site Archetypes Through Few Shot Forecasting: The First U.S.-Wide Study

Kshitij Nikhal, Lucas Ackerknecht, Benjamin S. Riggan, Phillip Stahlfeld

机构 * Alpha Grid ； University of Nebraska-Lincoln（内布拉斯加大学林肯分校） 纠错

Comments Tackling Climate Change with Machine Learning: Workshop at NeurIPS 2025

Posterior Sampling by Combining Diffusion Models with Annealed Langevin Dynamics

Zhiyang Xun, Shivam Gupta, Eric Price

机构 * UT Austin（得克萨斯大学） ； Microsoft Research（微软研究院） 纠错

Comments NeurIPS 2025

Retrosynthesis Planning via Worst-path Policy Optimisation in Tree-structured MDPs

Mianchu Wang, Giovanni Montana

机构 * University of Warwick（沃里克大学） ； The Alan Turing Institute（艾伦·图灵研究所） 纠错

Comments Published as a conference paper at NeurIPS 2025

EvoLM: In Search of Lost Language Model Training Dynamics

Zhenting Qi, Fan Nie, Alexandre Alahi, James Zou, Himabindu Lakkaraju, Yilun Du, Eric Xing, Sham Kakade, Hanlin Zhang

机构 * Harvard（哈佛大学） ； Stanford（斯坦福大学） ； EPFL（苏黎世联邦理工学院） ； CMU（卡内基梅隆大学） 纠错

Comments NeurIPS 2025 (Oral)

Vision Transformers with Self-Distilled Registers

Yinjie Chen, Zipeng Yan, Chong Zhou, Bo Dai, Andrew F. Luo

Comments NeurIPS 2025 Spotlight. Website: https://github.com/0raiser0/PH-Reg

Preference Learning with Lie Detectors can Induce Honesty or Evasion

Chris Cundy, Adam Gleave

Comments NeurIPS 2025

Availability-aware Sensor Fusion via Unified Canonical Space

Dong-Hee Paek, Seung-Hyun Kong

机构 * CCS Graduate School of Mobility（移动系统联合研究生院） ； KAIST（韩国科学技术院） 纠错

Comments Accepted at NeurIPS 2025

Journal ref Proceedings of the Neural Information Processing Systems (NeurIPS 2025)

PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision

Arnav M. Das, Chi Ian Tang, Fahim Kawsar, Mohammad Malekzadeh

机构 * Nokia Bell Labs Cambridge, UK（诺基亚贝尔实验室（剑桥，英国）） ； University of Washington, USA（华盛顿大学（美国）） ； University of Glasgow, UK（格拉斯哥大学（英国）） 纠错

Comments Presented at ICASSP 2025. Also presented under the title "PRIMUS: Pretraining IMU Encoders with Multimodal and Self-Supervised Learning" at NeurIPS 2024 TSALM Workshop (Time Series in the Age of Large Models)

Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI

Guanxiong Luo, Shoujin Huang, Martin Uecker

机构 * University Medical Center Göttingen（哥廷根大学医学中心） ； Shenzhen Technology University（深圳科技大学） ； Graz University of Technology（格拉茨技术大学） 纠错

Journal ref Advances in Neural Information Processing Systems 2024;37:129094-129119