A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments

Published in Proceedings of the 42nd International Conference on Machine Learning (ICML), 2025

Recommended citation: Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He, & Huajie Shao. (2025). A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments. Proceedings of the 42nd International Conference on Machine Learning (ICML). https://icml.cc/virtual/2025/poster/46230