ICML 2026将在2026年7月6日—11日于韩国首尔（Seoul, South Korea）举行。本文总结了2026 ICML上有关时空数据（Spatial-Temporal）相关论文。如有疏漏，欢迎大家补充。

注：笔者将分为上下2篇推文来总结，本文主要涉及时空数据中有关气象数据，物理时空等论文。

本文时空数据Topic：天气预报，物理时空，LLM/MLLM等的应用等。

1. Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection 2. ClimateAR: Multi-Scale Autoregressive Generative Modeling for Seasonal-to-Interannual Climate Forecasting 3. EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting 4. PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting 5. U-Cast: A Surprisingly Simple Frontier Probabilistic AI Weather Forecaster 6. WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation 7. Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis 8. BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields 9. LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems 10. Transforming Weather Data from Pixel to Latent Space 11. MMClima: A Framework for Multimodal Climate Science Data and Evaluation 12. HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis 13. EpiTwin: Spatiotemporal Graph Transformers for Epileptic sEEG Signal Reconstruction 14. Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems 15. Scaling Laws of Global Weather Models 16. NeuroMamba: A Universal Spatiotemporal Module for Robust Perception in Degraded Sensory Streams 17. RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers 18. WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling 19. StormInsight: Hierarchical Environmental Forcing and Vertical Coupling for Weather System Evolution

1 Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection

链接：https://icml.cc/virtual/2026/poster/61205

作者：Yilin Liu ⋅ Hongchao Zhang ⋅ Ahmad Taha ⋅ Taylor T Johnson ⋅ Meiyi Ma

关键词：图异常检测，能量感知

2 ClimateAR: Multi-Scale Autoregressive Generative Modeling for Seasonal-to-Interannual Climate Forecasting

链接：https://icml.cc/virtual/2026/poster/64336

作者：Yue Yu ⋅ Weiqi Chen ⋅ Binqing Wu ⋅ Dongliang Cui ⋅ Wanyi Jiang ⋅ Zongjiang Shang ⋅ Bo Wu ⋅ Liang Sun ⋅ Ling Chen

关键词：天气预报，气象预测

3 EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting

链接：https://icml.cc/virtual/2026/poster/62876

arXiv：http://arxiv.org/abs/2602.01194v1

作者：hao chen ⋅ Tao Han ⋅ Jie ZHANG ⋅ Song Guo ⋅ Fenghua Ling ⋅ LEI BAI

关键词：天气预报，多尺度Transformer

4 PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting

链接：https://icml.cc/virtual/2026/poster/64931

作者：Yuan Gao ⋅ Fan Xu ⋅ Hao Wu ⋅ Yuxu Lu ⋅ Penghao Zhao ⋅ Fan Zhang ⋅ Hao Jia ⋅ Yuxuan Liang ⋅ Ruijian Gou ⋅ Qingsong Wen ⋅ Xian Wu ⋅ Xiaomeng Huang

关键词：耦合时空预测

5 U-Cast: A Surprisingly Simple Frontier Probabilistic AI Weather Forecaster

链接：https://icml.cc/virtual/2026/poster/63434

arXiv：https://arxiv.org/abs/2604.09041

代码：https://github.com/Rose-STL-Lab/u-cast

作者：Salva Ruhling Cachay ⋅ Duncan Watson-Parris ⋅ Rose Yu

关键词：天气预报，极简结构

6 WeatherSyn: An Instruction Tuning MLLM For Weather Forecasting Report Generation

链接：https://icml.cc/virtual/2026/poster/63486

arXiv：https://arxiv.org/abs/2605.07522

代码：https://github.com/compasszzn/WeatherSyn

作者：Zinan Zheng ⋅ Yang Liu ⋅ Nuo Chen ⋅ Juepeng Zheng ⋅ Hong Cheng ⋅ Jia Li

关键词：天气报告生成，多模态大模型，指令微调

7 Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis

链接：https://icml.cc/virtual/2026/poster/64535

arXiv：http://arxiv.org/abs/2501.12500v2

作者：Minghao Fu ⋅ Biwei Huang ⋅ Zijian Li ⋅ Yujia Zheng ⋅ Ignavier Ng ⋅ Guangyi Chen ⋅ Yingyao Hu ⋅ Kun Zhang

关键词：气候分析，因果结构

8 BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields

链接：https://icml.cc/virtual/2026/poster/66731

arXiv：http://arxiv.org/abs/2509.26005v2

作者：Rui-Yang Zhang ⋅ Henry Moss ⋅ Lachlan Astfalck ⋅ Edward Cripps ⋅ David Leslie

关键词：拉格朗日观测器，时空向量场

9 LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems

链接：https://icml.cc/virtual/2026/poster/62662

作者：Shida Liu ⋅ Abhishek Gupta ⋅ Sumit Sinha ⋅ L Mahadevan

关键词：动力系统，李对称

10 Transforming Weather Data from Pixel to Latent Space

链接：https://icml.cc/virtual/2026/poster/64426

作者：Sijie Zhao ⋅ Feng Liu ⋅ Xueliang Zhang ⋅ Hao Chen ⋅ Tao Han ⋅ JUNCHAO GONG ⋅ Ran Tao ⋅ Pengfeng Xiao ⋅ Xinyu Gu ⋅ LEI BAI

关键词：天气数据，潜在空间

11 MMClima: A Framework for Multimodal Climate Science Data and Evaluation

链接：https://icml.cc/virtual/2026/poster/60992

作者：Muhammad Umer Sheikh ⋅ Hassan Abid ⋅ Khawar shehzad ⋅ Ufaq Khan ⋅ Muhammad Haris Khan

关键词：大规模多模态气候问答

12 HVR-Met: A Hypothesis-Verification-Replaning Agentic System for Extreme Weather Diagnosis

链接：https://icml.cc/virtual/2026/poster/61110

作者：Shuo Tang ⋅ Jiadong Zhang ⋅ Jian Xu ⋅ Gengxian Zhou ⋅ Qizhao Jin ⋅ Qinxuan Wang ⋅ Yi Hu ⋅ Ning Hu ⋅ Hongchang Ren ⋅ Lingli He ⋅ Jiaolan Fu ⋅ Ding ⋅ Shiming Xiang ⋅ Cheng-Lin Liu

关键词：极端天气诊断，Agentic

13 EpiTwin: Spatiotemporal Graph Transformers for Epileptic sEEG Signal Reconstruction

链接：https://icml.cc/virtual/2026/poster/60780

作者：Jingbo Yang ⋅ Yunfeng Zhao ⋅ Chao Qiu ⋅ Yulin Sun ⋅ Xiuyun Liu ⋅ Xiaofei Wang

关键词：立体定向脑电图，时空图Transformer

14 Interpretable Functional Koopman Learning with Non-Markovian Closure for Spatiotemporal Systems

链接：https://icml.cc/virtual/2026/poster/61900

作者：Wanfeng Lu ⋅ He Ma ⋅ Wei Lin ⋅ Qunxi Zhu

关键词：时空动力学，库普曼

15 Scaling Laws of Global Weather Models

链接：https://icml.cc/virtual/2026/poster/62620

arXiv：http://arxiv.org/abs/2602.22962v1

代码：https://github.com/spcl/scaling-laws-weather-model

作者：Yuejiang Yu ⋅ Langwen Huang ⋅ Alexandru Calotoiu ⋅ Torsten Hoefler

关键词：天气预报，世界模型，scaling law

16 NeuroMamba: A Universal Spatiotemporal Module for Robust Perception in Degraded Sensory Streams

链接：https://icml.cc/virtual/2026/poster/61841

作者：Jinfeng Li ⋅ Huijia Song ⋅ HanLiang Zhou ⋅ Xiangyue Hu ⋅ Jiahui Zhang ⋅ XinpengJiang ⋅ Bin Lin ⋅ Fangli Guan ⋅ DONG Dingran ⋅ Liqi Yan ⋅ Pan Li

关键词：传感数据流,时空一致性，通用性

17 RSTR: Reducing SpatioTemporal Redundancy in Diffusion Transformers

链接：https://icml.cc/virtual/2026/poster/62634

作者：Ruitong Sun ⋅ Tianze Yang ⋅ Wei Niu ⋅ Jin Sun

关键词：扩散Transformer，时空冗余

18 WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling

链接：https://icml.cc/virtual/2026/poster/64960

arXiv：http://arxiv.org/abs/2602.03924v1

作者：Michael Aich ⋅ Andreas Fürst ⋅ Florian Sestak ⋅ Carlos Ruiz-Gonzalez ⋅ Niklas Boers ⋅ Johannes Brandstetter

关键词：大气建模，逆扩散

19 StormInsight: Hierarchical Environmental Forcing and Vertical Coupling for Weather System Evolution

链接：https://icml.cc/virtual/2026/poster/62559

作者：Jun Chen ⋅ Yan Fang ⋅ Minghui Qiu ⋅ Yueran Qiu ⋅ CHEN ⋅ Shuxin Zhong ⋅ Yu ZHANG ⋅ Kaishun WU

关键词：临近预报，Benchmark