Diffusion Generative Modeling on Lie Group Representations
机构 * Pfizer Worldwide Research and Development（辉瑞全球研发）
Comments 29 pages. Accepted as a spotlight paper at NeurIPS 2025
期刊&会议
NeurIPS
Conference on Neural Information Processing Systems · 会议 · Machine Learning
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
机构 * CISPA Helmholtz Center for Information Security（CISPA信息安全研究中心） ； Department of Computer Science University of Oxford（计算机科学系牛津大学）
Journal ref NeurIPS 2025
Last Iterate Convergence in Monotone Mean Field Games
机构 * RIKEN AIP Tokyo（日本理化学研究所AIP东京）
Comments Accepted by NeurIPS 2025, 27 pages, 2 figures, 1 table
Learning to Better Search with Language Models via Guided Reinforced Self-Training
机构 * Seoul National University（首尔国立大学） ； KRAFTON
Comments Accepted at NeurIPS 2025
Secure and Confidential Certificates of Online Fairness
Journal ref 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
FAN: Fourier Analysis Networks
机构 * School of Computer Science, Peking University（北京大学计算机学院） ； The Hong Kong University of Science and Technology（香港科学与技术大学） ； ByteDance（字节跳动）
Comments Accepted to NeurIPS'25
Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
Comments Accepted by NeurIPS 2025
Score-based Generative Neural Networks for Large-Scale Optimal Transport
机构 * Northeastern University（东北大学） ； Brandeis University（布兰迪斯大学） ； MIT（麻省理工学院）
Comments Correction to NeurIPS 2021 Paper 4675 fixing an oversight in the statement of Assn 4.1; thanks ZY for pointing this out!
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
机构 * Nanyang Technological University（南洋理工大学） ； Alibaba Group（阿里巴巴集团）
Comments This paper is accepted by NeurIPS 2020. The code is available on GitHub: https://github.com/KaihuaTang/Long-Tailed-Recognition.pytorch
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
机构 * The University of Tokyo（东京大学） ； RIKEN（日本研究机构）
Journal ref Advances in Neural Information Processing Systems, 2025
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
机构 * University of Cambridge（剑桥大学） ； KTH Royal Institute of Technology（皇家理工学院） ； University of California, Los Angeles（加州大学洛杉矶分校） ； NYU Center for Data Science（纽约大学数据科学中心） ； NYU Shanghai（纽约大学上海分校）
Comments Neurips 2025
Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
机构 * Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS（智能信息处理重点实验室，计算技术研究所，中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； Agriculture Information Institute, CAAS（农业信息研究所，中国农业科学院）
Comments 19 pages, 11 figures, Accepted by NeurIPS 2025
Probing Neural Combinatorial Optimization Models
机构 * Singapore Management University（新加坡国立管理学院） ； Massachusetts Institute of Technology（麻省理工学院）
Comments 39 pages, 16 figures. Accepted as Spotlight at NeurIPS 2025
Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions
机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）
Comments Accepted by NeurIPS 2025
Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive Technologies
机构 * University of Illinois Chicago（伊利诺伊大学芝加哥分校） ； MBZUAI（马克斯·普朗克人工智能研究所） ； McGill University（麦吉尔大学） ； The Chinese University of Hong Kong（香港中文大学） ； Nanyang Technological University（南洋理工大学） ； Tsinghua University（清华大学）
Comments Accepted by NeurIPS'25 Position Track
Differentially Private High-dimensional Variable Selection via Integer Programming
机构 * Operations Research Center（运筹优化中心） ； MIT（麻省理工学院） ； Sloan School of Management（斯隆管理学院）
Comments NeurIPS 2025
VLM-SlideEval: Evaluating VLMs on Structured Comprehension and Perturbation Sensitivity in PPT
Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Evaluating the Evolving LLM Lifecycle - Benchmarks, Emergent Abilities, and Scaling
Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
机构 * Georgia Institute of Technology（佐治亚理工学院） ； MPI-IS（马克斯·普朗克研究所）
Comments 62 pages
Journal ref NeurIPS 2025
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability
机构 * University of Washington（华盛顿大学） ； Allen Institute for Neural Dynamics（神经动态研究院） ； Google DeepMind（谷歌DeepMind）
Comments Accepted to Annual Conference on Neural Information Processing Systems (NeurIPS) 2025
Online Optimization for Offline Safe Reinforcement Learning
机构 * Washington State University（华盛顿州立大学） ； University of Minnesota（明尼苏达大学） ； Oregon State University（俄勒冈州立大学） ； New Jersey Institute of Technology（新泽西理工学院）
Comments To appear in NeurIPS 2025 Conference
From Black-box to Causal-box: Towards Building More Interpretable Models
机构 * Causal Artificial Intelligence Lab（因果人工智能实验室） ； Columbia University（哥伦比亚大学）
Comments NeurIPS 2025
Deep Learning on Real-World Graphs
Comments The thesis was submitted for the degree of Doctor of Philosophy in Computing at Imperial College London (February 2024), under the supervision of Prof. Michael M. Bronstein. It includes work published at ICML, ICLR, NeurIPS, and the Learning on Graphs Conference
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
机构 * Huawei Technologies Canada（华为技术加拿大）
Comments 16 pages, 11 figure, 2 tables, accepted at Neurips 2025
Revisiting Orbital Minimization Method for Neural Operator Decomposition
Comments 25 pages, 8 figures. To appear at NeurIPS 2025
Explaining and Mitigating Crosslingual Tokenizer Inequities
机构 * EleutherAI ； UC San Diego（加州大学圣地亚哥分校）
Comments Accepted to NeurIPS 2025
Software Engineering Agents for Embodied Controller Generation : A Study in Minigrid Environments
机构 * Inria Center of Bordeaux University（Inria 波尔多中心大学） ； Flowers AI & CogSci Lab（Flowers AI 与认知科学实验室） ； LaBRI, Bordeaux INP, CNRS UMR 5800（LaBRI，波尔多 INP，CNRS UMR 5800） ； IMN, CNRS UMR 5293（IMN，CNRS UMR 5293） ； Inria - Flowers AI & CogSci Lab - BioTiC（Inria - Flowers AI 与认知科学实验室 - BioTiC）
Comments 10 pages, 7 figures
Journal ref 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: Efficient Reasoning
Restoring Pruned Large Language Models via Lost Component Compensation
机构 * School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore（电子与电气工程学院，南洋理工大学，新加坡） ； Home Team Science and Technology Agency (HTX), Singapore（科技局（HTX），新加坡）
Comments NeurIPS 2025 Spotlight
Avi: Action from Volumetric Inference
机构 * University of California, Los Angeles（加州大学洛杉矶分校） ； University of pennsylvania（宾夕法尼亚大学）
Comments NeurIPS 2025 Workshop on Embodied World Models for Decision Making. URL: https://avi-3drobot.github.io/
Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
机构 * Faculty of Computer and Information Science（计算机与信息科学学院） ； Ben-Gurion University of the Negev（贝加尔-内盖夫大学）
Comments Accepted for the Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track
Holistic Order Prediction in Natural Scenes
机构 * Seoul National University（首尔国立大学） ； LG AI Research（LG人工智能研究）
Comments 24 pages, 11 figures, 6 tables
Journal ref The Thirty-Ninth Annual Conference on Neural Information Processing Systems (2025)
