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EPFL(洛桑联邦理工学院)

2026-05-05 至 2026-05-05 共收录 4
2605.00850 2026-05-05 physics.ao-ph cs.AI cs.LG eess.IV

Earth System Foundation Model (ESFM): A unified framework for heterogeneous data integration and forecasting

地球系统基础模型(ESFM):一个用于异质数据整合和预测的统一框架

Firat Ozdemir, Yun Cheng, Salman Mohebi, Fanny Lehmann, Simon Adamov, Zhenyi Zhang, Leonardo Trentini, Dana Grund, Oliver Fuhrer, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm, Benedikt Soja, Mathieu Salzmann

机构 * Swiss Data Science Center (SDSC), ETH Zurich & EPFL(瑞士数据科学中心(SDSC)、苏黎世联邦理工学院与洛桑联邦理工学院) ETH AI Center, ETH Zurich(苏黎世联邦理工学院人工智能中心) Federal Office for Meteorology and Climatology MeteoSwiss(联邦气象与气候办公室MeteoSwiss) Institute of Geodesy and Photogrammetry, ETH Zurich(苏黎世联邦理工学院测绘与摄影测量研究所) Computational and Applied Mathematics Laboratory, ETH Zurich(苏黎世联邦理工学院计算与应用数学实验室) Institute for Atmospheric and Climate Science (IAC), ETH Zurich(大气与气候科学研究所(IAC)、苏黎世联邦理工学院) Scalable Parallel Computing Lab, ETH Zurich(可扩展并行计算实验室、苏黎世联邦理工学院) Dep. of Applied Mathematics and Theoretical Physics, University of Cambridge(应用数学与理论物理系、剑桥大学)

AI总结 本文提出ESFM,一个基于3D Swin UNet的开放模型,通过扩展编码方案和轴向注意力机制,实现对多源异质数据的整合与预测,提升气候科学应用性能。

Comments ESFM is available on https://github.com/swiss-ai/ESFM. 48 pages, 29 figures, 18 tables

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2605.00839 2026-05-05 cs.AI cs.LG

2026 Roadmap on Artificial Intelligence and Machine Learning for Smart Manufacturing

2026 年人工智能与机器学习在智能制造中的路线图

Jay Lee, Hanqi Su, Marco Macchi, Adalberto Polenghi, Wei Wu, Zhiheng Zhao, George Q. Huang, Kiva Allgood, Devendra Jain, Benedikt Gieger, Vibhor Pandhare, Soumyabrata Bhattacharjee, Ram Mohril, Lingbao Kong, Qiyuan Wang, Xinlan Tang, Sungjong Kim, Chan Hee Park, Byeng D. Youn, Guo Dong Goh, Xi Huang, Wai Yee Yeong, Yung C Shin, He Zhang, Zitong Wang, Fei Tao, Jagjit Singh Srai, Satyandra K. Gupta, Byung Gun Joung, Albin John, John W. Sutherland, Sang Won Lee, Olga Fink, Vinay Sharma, Faez Ahmed, Wei Chen, Mark Fuge, Arild Waaler, Martin G. Skjæveland, Dimitris Kyritsis, Wei Chen, VispiNevile Karkaria, Yi-Ping Chen, Ying-Kuan Tsai, Joseph Cohen, Xun Huan, Jing Lin, Liangwei Zhang, Gregory W. Vogl, Aaron W. Cornelius, Xiaodong Jia, Dai-Yan Ji, Takanobu Minami, Ruoxin Wang

机构 * Center for Industrial Artificial Intelligence, Department of Mechanical Engineering, University of Maryland, College Park(工业人工智能中心,机械工程系,马里兰大学College Park分校) Department of Management, Economics and Industrial Engineering, Politecnico di Milano(管理、经济与工业工程系,米兰理工学院) Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University(工业与系统工程系,香港理工大学) Centre for Advanced Manufacturing & Supply Chains, World Economic Forum(先进制造与供应链研究中心,世界经济论坛) Department of Mechanical Engineering, Indian Institute of Technology Indore(机械工程系,印度理工学院Indore分校) Future Information Innovative College, Fudan University(未来信息创新学院,复旦大学) Department of Mechanical Engineering, Seoul National University(机械工程系,首尔国立大学) Department of Mechanical and Information Engineering, University of Seoul(机械与信息工程系,首尔大学) Onepredict Corp.(Onepredict公司) School of Mechanical and Aerospace Engineering, Nanyang Technological University(机械与航空航天工程学院,南洋理工大学) Singapore Centre for 3D Printing, Nanyang Technological University(新加坡3D打印中心,南洋理工大学) Mechanical Engineering, Purdue University(机械工程系,普渡大学) Digital Twin International Research Center, International Institute for Interdisciplinary and Frontiers, Beihang University(数字孪生国际研究中心, interdisciplinary and Frontiers 国际研究院,北京航空航天大学) School of Automation Science and Electrical Engineering, Beihang University(自动化科学与电气工程学院,北京航空航天大学) Department of Engineering, University of Cambridge(工程系,剑桥大学) Center for Advanced Manufacturing, University of Southern California(先进制造中心,南加州大学) School of Sustainability Engineering and Environmental Engineering, Purdue University(可持续工程与环境工程系,普渡大学) School of Mechanical Engineering, Sungkyunkwan University(机械工程系,全南大学) Intelligent Maintenance and Operations Systems, EPFL(智能维护与运营系统,苏黎世联邦理工学院) Department of Mechanical Engineering, Massachusetts Institute of Technology(机械工程系,麻省理工学院) J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University(J. Mike Walker ’66 机械工程系,德克萨斯A&M大学) Department of Mechanical and Process Engineering, ETH Zürich(机械与工艺工程系,苏黎世联邦理工学院)

AI总结 本文探讨人工智能与机器学习在智能制造中的发展现状与未来方向,涵盖基础理论、应用领域及新兴技术,旨在推动创新与产业应用。

Comments This paper has been accepted for publication in the Journal Machine Learning: Engineering

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2506.22899 2026-05-05 cs.CV cs.GR cs.LG cs.MA eess.IV

Neural Cellular Automata: From Cells to Pixels

神经细胞自动机:从细胞到像素

Ehsan Pajouheshgar, Yitao Xu, Ali Abbasi, Alexander Mordvintsev, Wenzel Jakob, Sabine Süsstrunk

机构 * EPFL(瑞士联邦理工学院) Google Research(谷歌研究)

AI总结 本文提出混合模型,通过粗网格NCA与轻量隐式解码器结合,实现高分辨率实时输出并保留NCA的自组织特性。

Comments 9 pages, 14 figures, +8 pages of Appendix (20 figures in total)

Journal ref SIGGRAPH 2026

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2501.10859 2026-05-05 eess.SY cs.LG cs.SY math.OC

What price to pay? Auto-tuning a building MPC controller for optimal economic cost

为最优经济成本自动调优建筑MPC控制器

Jiarui Yu, Jicheng Shi, Wenjie Xu, Colin N. Jones

机构 * Laboratoire d'Automatique, EPFL, 1015 Lausanne, Switzerland.(自动化实验室,EPFL,瑞士拉沃斯纳,1015)

AI总结 本文提出利用约束贝叶斯优化自动调优MPC控制器,通过案例研究展示其在降低电力成本和优化需求侧管理程序方面的显著效果。

Comments 11 pages, 5 figures

Journal ref Control Engineering Practice 174 107023 (2026)

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