NeurIPS

DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products

Julien Siems, Timur Carstensen, Arber Zela, Frank Hutter, Massimiliano Pontil, Riccardo Grazzi

机构 * University of Freiburg（弗赖堡大学） ； ELLIS Institute Tübingen（图宾根ELLIS研究所） ； Microsoft Research（微软研究院） ； Prior Labs（先驱实验室） ； CSML, Istituto Italiano di Tecnologia（CSML，意大利技术研究所） ； AI Centre, University College London（伦敦大学学院人工智能中心） 纠错

Comments v5: Characterization of DeltaProduct's state-tracking ability. Analysis of hidden state's effective rank. Improved scaling analysis. v6: Added analysis for products of RWKV-7 matrices, v6: Accepted at NeurIPS 2025

Quantum speedup of non-linear Monte Carlo problems

Jose Blanchet, Yassine Hamoudi, Mario Szegedy, Guanyang Wang

Comments 18 pages; v2: improved writing, changed title, and added lower bound

Journal ref Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025

SHAP values via sparse Fourier representation

Ali Gorji, Andisheh Amrollahi, Andreas Krause

机构 * ETH Zürich（苏黎世联邦理工学院） 纠错

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

Environment Inference for Learning Generalizable Dynamical System

Shixuan Liu, Yue He, Haotian Wang, Wenjing Yang, Yunfei Wang, Peng Cui, Zhong Liu

机构 * College of Computer Science and Technology, National University of Defense Technology（国防科技大学计算机科学与技术学院） ； School of Information, Renmin University of China（中国人民大学信息学院） ； College of Systems Engineering, National University of Defense Technology（国防科技大学系统工程学院） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Laboratory for Big Data and Decision, National University of Defense Technology（国防科技大学大数据与决策实验室） 纠错

Comments NeurIPS 2025 Spotlight

SEMPO: Lightweight Foundation Models for Time Series Forecasting

Hui He, Kun Yi, Yuanchi Ma, Qi Zhang, Zhendong Niu, Guansong Pang

机构 * Beijing Institute of Technology（北京理工大学） ； Singapore Management University（新加坡管理大学） ； State Information Center（国家信息中心） ； Tongji University（同济大学） 纠错

Comments Accepted by NeurIPS 2025

Latent Space Factorization in LoRA

Shashi Kumar, Yacouba Kaloga, John Mitros, Petr Motlicek, Ina Kodrasi

机构 * Idiap Research Institute（Idiap研究机构） ； EPFL（苏黎世联邦理工学院） ； BUT（布拉格技术大学） 纠错

Comments Accepted at NeurIPS 2025

Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization

Marius Potfer, Vianney Perchet

Comments Neurips 2025

Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning

Ruiyao Miao, Junren Xiao, Shiya Tsang, Hui Xiong, Yingnian Wu

机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； The Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

Comments This paper is accepted by 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

PoseCrafter: Extreme Pose Estimation with Hybrid Video Synthesis

Qing Mao, Tianxin Huang, Yu Zhu, Jinqiu Sun, Yanning Zhang, Gim Hee Lee

机构 * School of Computer Science, Northwestern Polytechnical University（西北工业大学计算机学院） ； School of Computing, National University of Singapore（新加坡国立大学计算机学院） ； School of Computing and Data Science, The University of Hong Kong（香港大学计算机与数据科学学院） ； School of Astronautics, Northwestern Polytechnical University（西北工业大学航天学院） 纠错

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

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data

Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Bing Cheng, Wei Lin, Guihai Chen

机构 * State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China（南京大学新型软件技术国家重点实验室） ； Meituan, Beijing, China（美团） 纠错

Comments Accepted by NeurIPS 2025

Online Two-Stage Submodular Maximization

Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis, Evimaria Terzi

机构 * Boston University（波士顿大学） ； EPFL（苏黎世联邦理工学院） ； Northeastern University（东北大学） 纠错

Comments To appear at NeurIPS 2025

NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning

Wonje Choi, Jooyoung Kim, Honguk Woo

Comments Accepted at NeurIPS 2025

Unified Reinforcement and Imitation Learning for Vision-Language Models

Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu

机构 * NVIDIA ； KAIST（韩国科学技术院） ； National Taiwan University（国立台湾大学） 纠错

Comments NeurIPS 2025, Project page: https://byungkwanlee.github.io/RIL-page

WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation

Yaoyao Qian, Yuanli Wang, Jinda Zhang, Yun Zong, Meixu Chen, Hanhan Zhou, Jindan Huang, Yifan Zeng, Xinyu Hu, Chan Hee Song, Danqing Zhang

机构 * Northeastern University（东北大学） ； Boston University（波士顿大学） ； University of Victoria（维多利亚大学） ； University of Minnesota（明尼苏达大学） ； George Washington University（乔治华盛顿大学） ； Tufts University（塔夫茨大学） ； Oregon State University（俄勒冈州立大学） ； University of Texas at San Antonio（德克萨斯大学圣安东尼奥分校） ； The Ohio State University（俄亥俄州立大学） 纠错

Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Multi-Turn Interactions in Large Language Models

The Zero-Step Thinking: An Empirical Study of Mode Selection as Harder Early Exit in Reasoning Models

Yuqiao Tan, Shizhu He, Kang Liu, Jun Zhao

机构 * The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（认知与决策智能复杂系统重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

Comments Accepted by NeurIPS'25 Efficient Reasoning Workshop

Think Straight, Stop Smart: Structured Reasoning for Efficient Multi-Hop RAG

Jihwan Bang, Juntae Lee, Seunghan Yang, Sungha Choi

Comments Accepted at NeurIPS 2025 Workshop

Natural Gradient VI: Guarantees for Non-Conjugate Models

Fangyuan Sun, Ilyas Fatkhullin, Niao He

Comments NeurIPS 2025

Rectifying Shortcut Behaviors in Preference-based Reward Learning

Wenqian Ye, Guangtao Zheng, Aidong Zhang

机构 * University of Virginia（弗吉尼亚大学） 纠错

Comments NeurIPS 2025

Empowering Decision Trees via Shape Function Branching

Nakul Upadhya, Eldan Cohen

机构 * Department of Mechanical and Industrial Engineering University of Toronto（机械与工业工程系多伦多大学） 纠错

Comments Accepted at NeurIPS 2025, Source code found at: https://github.com/optimal-uoft/Empowering-DTs-via-Shape-Functions

Evaluating LLM Story Generation through Large-scale Network Analysis of Social Structures

Hiroshi Nonaka, K. E. Perry

机构 * Soka University of America（索卡大学） 纠错

Comments This paper has 14 pages and 8 figures. To be presented at the NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling

DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code

Shriyansh Agrawal, Aidan Lau, Sanyam Shah, Ahan M R, Kevin Zhu, Sunishchal Dev, Vasu Sharma

Comments Accepted to 39th Conference on Neural Information Processing Systems (NeurIPS 2025): 4th Workshop on Deep Learning for Code

Journal ref Neural Information Processing Systems (NeurIPS 2025)

Actor-Free Continuous Control via Structurally Maximizable Q-Functions

Yigit Korkmaz, Urvi Bhuwania, Ayush Jain, Erdem Bıyık

机构 * University of Southern California（南加州大学） ； Meta AI 纠错

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

Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning

Rui Jerry Huang, Wendy Liu, Anastasia Miin, Lei Ding

Comments 13 pages, 8 figures. Accepted for presentation at the 5th Workshop on Mathematical Reasoning and AI at NeurIPS 2025

Benchmarking Probabilistic Time Series Forecasting Models on Neural Activity

Ziyu Lu, Anna J. Li, Alexander E. Ladd, Pascha Matveev, Aditya Deole, Eric Shea-Brown, J. Nathan Kutz, Nicholas A. Steinmetz

机构 * Department of Applied Mathematics, University of Washington（应用数学系，华盛顿大学） ； Department of Neurobiology and Biophysics, University of Washington（神经生物学与生物物理学系，华盛顿大学） ； Allen Institute for Brain Science（脑科学研究所） ； Department of Electrical and Computer Engineering, University of Washington（电气与计算机工程系，华盛顿大学） 纠错

Comments Accepted at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Data on the Brain & Mind

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search

Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen

机构 * Baylor University（贝勒大学） ； NEC Labs America（NEC美国实验室） ； Augusta University（奥古斯塔大学） ； Southern Illinois University（南方伊利诺伊大学） ； University of Texas at Dallas（德克萨斯大学达拉斯分校） 纠错

Comments NeurIPS 2025

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching

Zhuo Cao, Xuan Zhao, Lena Krieger, Hanno Scharr, Ira Assent

机构 * IAS-8, Forschungszentrum Jülich, Germany（茹里希研究所，德国） ； Munich Center for Machine Learning (MCML), LMU Munich, Germany（慕尼黑机器学习中心（MCML），慕尼黑大学，德国） ； Aarhus University, Denmark（奥胡斯大学，丹麦） 纠错

Comments Accepted as a poster presentation at NeurIPS 2025. Camera-ready version. 10 pages, 7 figures

Incentivizing Time-Aware Fairness in Data Sharing

Jiangwei Chen, Kieu Thao Nguyen Pham, Rachael Hwee Ling Sim, Arun Verma, Zhaoxuan Wu, Chuan-Sheng Foo, Bryan Kian Hsiang Low

机构 * Department of Computer Science, National University of Singapore（新加坡国立大学计算机科学系） ； Institute for Infocomm Research, Agency for Science, Technology and Research（科技研究局信息与通信研究所） ； Singapore-MIT Alliance for Research and Technology（新加坡-麻省理工联合研究技术联盟） 纠错

Comments Accepted to NeurIPS 2025

MaNGO - Adaptable Graph Network Simulators via Meta-Learning

Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

Comments 20 pages including appendix. NeurIPS 2025 (camera ready version)

Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting

Zinan Zheng, Yang Liu, Jia Li

Comments NeurIPS 2025 main track

Q-Palette: Fractional-Bit Quantizers Toward Optimal Bit Allocation for Efficient LLM Deployment

Deokjae Lee, Hyun Oh Song

Comments NeurIPS 2025