The Platonic Universe: Do Foundation Models See the Same Sky?
UniverseTBD, :, Kshitij Duraphe, Michael J. Smith, Shashwat Sourav, John F. Wu
机构
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Independent Researcher(独立研究者)
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AstroAI
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Harvard-Smithsonian CfA(哈佛-史密松天体物理中心)
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University of Hertfordshire(赫特福德郡大学)
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Washington University St. Louis(圣路易斯华盛顿大学)
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Space Telescope Science Institute(空间望远镜科学研究所)
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Johns Hopkins University(约翰霍普金斯大学)
Comments9 pages, 3 tables, 1 figure. Accepted as a workshop paper to Machine Learning and the Physical Sciences at NeurIPS 2025
Mixture of Noise for Pre-Trained Model-Based Class-Incremental Learning
Kai Jiang, Zhengyan Shi, Dell Zhang, Hongyuan Zhang, Xuelong Li
机构
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School of Artificial Intelligence, OPtics and ElectroNics, Northwestern Polytechnical University(人工智能学院、光学与电子学院、西北工业大学)
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Institute of Artificial Intelligence (TeleAI) of China Telecom(中国电信人工智能研究院)
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School of Computer Science & School of Artificial Intelligence, Shanghai Jiao Tong University(计算机科学学院及人工智能学院、上海交通大学)
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University of Hong Kong(香港大学)
Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
Kaichen Xu, Yihang Du, Mianpeng Liu, Zimu Yu, Xiaobo Sun
机构
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Department of Computer Science, Emory University(埃默里大学计算机科学系)
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School of Statistics and Mathematics, Zhongnan University of Economics and Law(中南财经政法大学统计与数学学院)
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School of Medicine, Department of Human Genetics, Emory University(埃默里大学医学院人类遗传学系)
机构
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City University of Hong Kong(香港城市大学)
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Dalian University of Technology(大连理工大学)
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Chinese University of Hong Kong(香港中文大学)
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Zhejiang University(浙江大学)
FedRAIN-Lite: Federated Reinforcement Algorithms for Improving Idealised Numerical Weather and Climate Models
Pritthijit Nath, Sebastian Schemm, Henry Moss, Peter Haynes, Emily Shuckburgh, Mark Webb
机构
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Department of Applied Mathematics and Theoretical Physics, University of Cambridge(剑桥大学应用数学与理论物理系)
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School of Mathematical Sciences, Lancaster University(兰卡斯特大学数学科学学院)
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Department of Computer Science and Technology, University of Cambridge(剑桥大学计算机科学与技术系)
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Met Office Hadley Centre(英国气象局哈德利中心)
CommentsAccepted for poster presentation at the NeurIPS 2025 workshop on Tackling Climate Change with Machine Learning. 21 pages, 6 figures
EDBench: Large-Scale Electron Density Data for Molecular Modeling
Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng
机构
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College of Computer Science and Electronic Engineering, Hunan University(湖南大学计算机科学与电子工程学院)
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College of Life Sciences, East China Normal University(华东师范大学生命科学学院)
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College of Materials Science and Engineering, Hunan University(湖南大学材料科学与工程学院)
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University of Science and Technology of China(中国科学技术大学)
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AIMS Lab, The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州)AIMS实验室)
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The Hong Kong University of Science and Technology(香港科技大学)
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Eastern Institute of Technology(技术研究所)
机构
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Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University(上海数据科学 key laboratory,计算机科学学院,复旦大学)
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School of Management, Fudan University(管理学院,复旦大学)
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Tencent Weixin Group(腾讯微信集团)
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IFM Lab, University of California, Davis(加州大学戴维斯分校IFM实验室)
机构
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Peking University(北京大学)
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Beijing Academy of Artificial Intelligence(北京人工智能研究院)
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Gaoling School of Artificial Intelligence, Renmin University of China(中国人民大学人工智能学院)
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University of Science and Technology of China(中国科学技术大学)
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The Hong Kong University of Science and Technology(香港科技大学)
FAIR Universe HiggsML Uncertainty Dataset and Competition
Lisa Benato, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Po-Wen Chang, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Aishik Ghosh, Cristina Giordano, Isabelle Guyon, Chris Harris, Yota Hashizume, Shih-Chieh Hsu, Elham E. Khoda, Claudius Krause, Ang Li, Benjamin Nachman, Peter Nugent, David Rousseau, Robert Schoefbeck, Maryam Shooshtari, Dennis Schwarz, Benjamin Thorne, Ihsan Ullah, Daohan Wang, Yulei Zhang
机构
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Institute for High Energy Physics, Vienna(维也纳高等研究院)
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Lawrence Berkeley National Laboratory(伯克利国家实验室)
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Université Paris-Saclay, CNRS/IN2P3, IJCLab ChaLearn(巴黎-萨克雷大学,CNRS/IN2P3,IJCLab ChaLearn)
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University of Washington, Seattle(华盛顿大学,西雅图)
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University of California, Berkeley(加州大学伯克利分校)
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University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
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University of California, San Diego(加州大学圣地亚哥分校)
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ChaLearn
CommentsFAIR Universe HiggsML Uncertainty Challenge Competition, submitted to NeurIPS 2025, Benchmark and Datasets track
A Gradient Flow Approach to Solving Inverse Problems with Latent Diffusion Models
Tim Y. J. Wang, O. Deniz Akyildiz
CommentsAccepted at the 2nd Workshop on Frontiers in Probabilistic Inference: Sampling Meets Learning, 39th Conference on Neural Information Processing Systems (NeurIPS 2025)
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
Honghao Chen, Xingzhou Lou, Xiaokun Feng, Kaiqi Huang, Xinlong Wang
机构
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Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所)
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School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院)
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Beijing Academy of Artificial Intelligence(北京人工智能研究院)
机构
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Doctoral Program of Computer Science University of Helsinki(赫尔辛基大学计算机科学博士项目)
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Research Program in Systems Oncology Faculty of Medicine University of Helsinki(赫尔辛基大学医学学院系统肿瘤研究计划)
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Centre for Information Sciences and Systems Nanyang Technological University(南洋理工大学信息科学与系统中心)
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University of Montreal(蒙特利尔大学)
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Mila Quebec Artificial Intelligence Institute(魁北克人工智能研究所)
CommentsAccectped by NeurIPS 2025 Workshop, New Perspectives in Advancing Graph Machine Learning (NPGML)
Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs
Richard Cornelius Suwandi, Feng Yin, Juntao Wang, Renjie Li, Tsung-Hui Chang, Sergios Theodoridis
机构
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The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳))
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University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
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University of Athens(雅典大学)