2026
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
ICLR 2026poster
Advanced deep learning-based approaches have been actively applied to forecast the spatiotemporal physical dynamics governed by partial differential equations (PDEs), which acts as a critical procedure in tackling many science and engineering problems. As real-world physical environments like PDE sy…