NeurIPS

Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields

Kim Bente, Roman Marchant, Fabio Ramos

机构 * School of Computer Science（计算机科学学院） ； The University of Sydney（悉尼大学） ； Human Technology Institute（人机技术研究所） ； University of Technology Sydney（技术大学悉尼分校） ； NVIDIA（NVIDIA公司） 纠错

Comments Accepted at the Tackling Climate Change with Machine Learning Workshop at NeurIPS 2025. 9 pages, 4 figures

RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation

Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais, Serge Belongie, Anjan Dutta

机构 * University of Surrey（塞雷尔大学） ； Simon Fraser University（西蒙弗雷泽大学） ； University of Copenhagen（哥本哈根大学） 纠错

Comments Accepted at NeurIPS 2025

Valid Inference with Imperfect Synthetic Data

Yewon Byun, Shantanu Gupta, Zachary C. Lipton, Rachel Leah Childers, Bryan Wilder

机构 * Machine Learning Department, Carnegie Mellon University（卡内基梅隆大学机器学习系） ； University of Zurich（苏黎世大学） 纠错

Comments NeurIPS 2025

Angular Constraint Embedding via SpherePair Loss for Constrained Clustering

Shaojie Zhang, Ke Chen

机构 * Department of Computer Science, The University of Manchester（计算机科学系，曼彻斯特大学） 纠错

Comments Accepted by NeurIPS 2025, 6 Figures and 1 Table in Main text, 18 Figures and 5 Tables in Appendices

A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking

Gal Fadlon, Idan Arbiv, Nimrod Berman, Omri Azencot

Comments Accepted to NeurIPS 2025; The first two authors contributed equally and are co-leading authors

Latent Representation Learning in Heavy-Ion Collisions with MaskPoint Transformer

Jing-Zong Zhang, Shuang Guo, Li-Lin Zhu, Lingxiao Wang, Guo-Liang Ma

机构 * Institute of Modern Physics, Fudan University（复旦大学现代物理研究所） ； Shanghai Research Center for Theoretical Nuclear Physics（上海理论核物理研究中心） ； NSFC and Fudan University（国家自然科学基金委员会和复旦大学） ； Department of Physics, Sichuan University（四川大学物理系） ； RIKEN Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS)（理化学研究所 interdisciplinary theoretical and mathematical sciences (iTHEMS)） 纠错

Comments 10 pages, 5 figures, accepted at the NeurIPS 2025 workshop "Machine Learning and the Physical Sciences"

Text-to-Image Models Leave Identifiable Signatures: Implications for Leaderboard Security

Ali Naseh, Anshuman Suri, Yuefeng Peng, Harsh Chaudhari, Alina Oprea, Amir Houmansadr

机构 * University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校） ； Northeastern University（东北大学） 纠错

Comments Accepted at Lock-LLM Workshop, NeurIPS 2025

Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks

Wentao Deng, Jiahuan Pei, Zhiwei Xu, Zhaochun Ren, Zhumin Chen, Pengjie Ren

机构 * Shandong University（山东大学） ； VU Amsterdam（阿姆斯特丹自由大学） ； Leiden University（莱顿大学） 纠错

Comments This paper has been accepted by NeurIPS 2025

Scalable In-context Ranking with Generative Models

Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit Dhillon, Felix Yu

机构 * UT Austin（得克萨斯大学） ； Google（谷歌） 纠错

Journal ref Neurips 2025

Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting

Chengqi Li, Zhihao Shi, Yangdi Lu, Wenbo He, Xiangyu Xu

机构 * McMaster University（麦斯特大学） ； Xi’an Jiaotong University（西安交通大学） 纠错

Comments NeurIPS 2025 Spotlight; Project page: https://steveli88.github.io/AsymGS/

HoPE: Hybrid of Position Embedding for Long Context Vision-Language Models

Haoran Li, Yingjie Qin, Baoyuan Ou, Lai Xu, Ruiwen Xu

机构 * Carnegie Mellon University（卡内基梅隆大学） ； Xiaohongshu Inc.（小红书公司） 纠错

Comments NeurIPS 2025

MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding

Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince D. Calhoun

机构 * University of Alabama at Birmingham（阿拉巴马大学伯明翰分校） ； Oak Ridge National Laboratory（橡树岭国家实验室） 纠错

Comments Accepted to NeurIPS 2025

FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management

Xiang Liu, Hong Chen, Xuming Hu, Xiaowen Chu

机构 * The Hong Kong University of Science and Technology(Guangzhou)（香港科技大学（广州）） 纠错

Comments NeurIPS 2025 Workshop on Multi-Turn Interactions in Large Language Models

TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios

Shaohang Wei, Wei Li, Feifan Song, Wen Luo, Tianyi Zhuang, Haochen Tan, Zhijiang Guo, Houfeng Wang

机构 * State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） 纠错

Comments Accepted by NeurIPS 2025 (Spotlight)

AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs

Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic, Lukas Cavigelli

Comments Accepted in NeurIPS 2025

A-MEM: Agentic Memory for LLM Agents

Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang

机构 * Rutgers University（罗杰斯大学） 纠错

Comments Advances in Neural Information Processing Systems (NeurIPS 2025)

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

Gabriele Oliaro, Zhihao Jia, Daniel Campos, Aurick Qiao

机构 * Snowflake AI Research（Snowflake AI研究院） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

Comments NeurIPS 2025 (Spotlight)

Approximately Aligned Decoding

Daniel Melcer, Sujan Gonugondla, Pramuditha Perera, Haifeng Qian, Wen-Hao Chiang, Yanjun Wang, Nihal Jain, Pranav Garg, Xiaofei Ma, Anoop Deoras

机构 * Khoury College of Computer Sciences Northeastern University（科里学院计算机科学系东北大学） ； Meta Superintelligence Labs（Meta超智能实验室） ； AWS NGDE ； Nvidia 纠错

Comments NeurIPS 2025 version; 10 pages, 35 total

The Adversarial Consistency of Surrogate Risks for Binary Classification

Natalie Frank, Jonathan Niles-Weed

机构 * Courant Institute（Courant 院） ； New York University（纽约大学） 纠错

Comments 17 pages, published in NeurIps 2023. version 3: added acknowledgements, no other changes. version 2: reorganized Section 4 and added proofs of the approximate complimentary slackness theorems. arXiv admin note: text overlap with arXiv:2206.09099

Journal ref Advances in Neural Information Processing Systems 2023

Spatiotemporal Tile-based Attention-guided LSTMs for Traffic Video Prediction

Tu Nguyen

机构 * Daimler AG（戴姆勒集团） 纠错

Comments Neurips 2019 Traffic4Cast Challenge, v4: added formal proofs