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NeurIPS

Conference on Neural Information Processing Systems · 会议 · Machine Learning

共收录 17321
2511.14357 2025-11-19 cs.CV

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)

Comments Accepted to NeurIPS 2025

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2511.12764 2025-11-19 cs.LG

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)

Comments Accepted at NeurIPS 2025. 35 pages, 10 figures

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2510.18638 2025-11-19 cs.LG stat.ML

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)

Comments NeurIPS 2025

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2510.17474 2025-11-19 cs.SD

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)

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

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2509.19465 2025-11-19 cs.LG cs.AI stat.AP

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)

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

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2508.05430 2025-11-19 cs.CV cs.AI cs.LG

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)

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

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2409.11175 2025-11-19 astro-ph.IM

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)

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2511.14096 2025-11-19 cs.IR cs.AI

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)

Comments Accepted by NeurIPS 2025

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2511.13993 2025-11-19 cs.CV

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)

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

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2511.09904 2025-11-19 cs.AI

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)

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

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2510.26910 2025-11-19 cs.LG

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)

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

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2510.26324 2025-11-19 cs.LG cs.AI cs.DS math.ST stat.ML stat.TH

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)

Comments NeurIPS 2025

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2509.10504 2025-11-19 cs.LG cs.AI cs.CE

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)

Comments Published as a conference paper at NeurIPS 2025

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2506.16029 2025-11-19 cs.CL cs.AI cs.LG

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)

Comments NeurIPS 2025 (Oral)

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2505.21501 2025-11-19 cs.CV

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

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2505.13787 2025-11-19 cs.LG cs.AI

Preference Learning with Lie Detectors can Induce Honesty or Evasion

Chris Cundy, Adam Gleave

Comments NeurIPS 2025

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2503.07029 2025-11-19 cs.CV cs.AI

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)

Comments Accepted at NeurIPS 2025

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

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2411.15127 2025-11-19 cs.LG

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))

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)

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2405.14327 2025-11-19 eess.IV cs.AI cs.CV

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)

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

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2511.13432 2025-11-18 cs.CY

The Last Vote: A Multi-Stakeholder Framework for Language Model Governance

Subramanyam Sahoo, Aditi Chhawacharia

Comments This paper has been accepted to the NeurIPS 2025 Workshop on Algorithmic Collective Action (ACA@NeurIPS 2025). The submission is 26 pages including the appendix and includes the NeurIPS checklist. A big thanks to Avijit Ghosh

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2511.13224 2025-11-18 astro-ph.IM

Natural gradient descent for improving variational inference based classification of radio galaxies

Devina Mohan, Anna M. M. Scaife

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

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2511.13223 2025-11-18 cs.LG cs.AI

TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs

Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye

机构 * State Key Lab of CAD&CG, Zhejiang University(浙江大学CAD&CG国家重点实验室) School of Software Technology, Zhejiang University(浙江大学软件学院) Alibaba Cloud(阿里云) Zhiyuan Research Institute(智源研究院)

Comments Accepted to NeurIPS 2025

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2506.13958 2025-11-18 cs.LG cs.AI

Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers

Leonardo Guiducci, Antonio Rizzo, Giovanna Maria Dimitri

机构 * DISPOC University of Siena(DISPOC 硅恩纳大学) University of Siena(硅恩纳大学) University of Milan(米兰大学)

Comments Accepted for poster presentation at the NeurIPS 2025 workshop "CogInterp: Interpreting Cognition in Deep Learning Models", San Diego, CA, USA

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2506.01215 2025-11-18 cs.CL cs.LG

Compress, Gather, and Recompute: REFORMing Long-Context Processing in Transformers

Woomin Song, Sai Muralidhar Jayanthi, Srikanth Ronanki, Kanthashree Mysore Sathyendra, Jinwoo Shin, Aram Galstyan, Shubham Katiyar, Sravan Babu Bodapati

机构 * KAIST(韩国科学技术院) Amazon AGI(亚马逊人工智能实验室)

Comments NeurIPS 2025

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2505.23734 2025-11-18 cs.CV

ZPressor: Bottleneck-Aware Compression for Scalable Feed-Forward 3DGS

Weijie Wang, Donny Y. Chen, Zeyu Zhang, Duochao Shi, Akide Liu, Bohan Zhuang

机构 * ZIP Lab, Zhejiang University(浙江大学ZIP实验室) Monash University(墨尔本大学)

Comments NeurIPS 2025, Project Page: https://lhmd.top/zpressor, Code: https://github.com/ziplab/ZPressor

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2505.15813 2025-11-18 cs.LG q-bio.NC

Meta-Learning an In-Context Transformer Model of Human Higher Visual Cortex

Muquan Yu, Mu Nan, Hossein Adeli, Jacob S. Prince, John A. Pyles, Leila Wehbe, Margaret M. Henderson, Michael J. Tarr, Andrew F. Luo

Comments Accepted to NeurIPS 2025. Website: https://github.com/leomqyu/BraInCoRL

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2504.06261 2025-11-18 cs.LG cs.CL

Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

Gleb Rodionov, Roman Garipov, Alina Shutova, George Yakushev, Erik Schultheis, Vage Egiazarian, Anton Sinitsin, Denis Kuznedelev, Dan Alistarh

机构 * Yandex HSE University(俄罗斯高等经济大学) IST Austria(国际研究所)

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

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2409.14507 2025-11-18 cs.CL cs.AI

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

David Chanin, James Wilken-Smith, Tomáš Dulka, Hardik Bhatnagar, Satvik Golechha, Joseph Bloom

机构 * LASR Labs(LASR实验室) University College London(伦敦大学学院) Tübingen AI Center, University of Tübingen(图宾根大学人工智能中心) MATS Decode Research(Decode研究)

Comments Accepted at NeurIPS 2025 (Oral)

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2511.13022 2025-11-18 cs.LG

Learning Time-Scale Invariant Population-Level Neural Representations

Eshani Patel, Yisong Yue, Geeling Chau

机构 * Computing & Mathematical Sciences(计算与数学科学) Computation & Neural Systems(计算与神经系统) California Institute of Technology(加州理工学院)

Comments 10 pages, 5 figures, NeurIPS 2025 Foundation Models for the Brain and Body

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2511.13016 2025-11-18 cs.LG

The Good, The Bad, and The Hybrid: A Reward Structure Showdown in Reasoning Models Training

Subramanyam Sahoo

机构 * Berkeley AI Safety Initiative (BASIS) UC Berkeley(伯克利人工智能安全计划(BASIS)加州大学伯克利分校)

Comments Paper accepted to the 2nd Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (ARLET 2025) at NeurIPS; the paper consists of 14 pages (including the appendix) and contains 3 figures

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