Jingren Hou

Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling

Real-world scientific applications frequently encounter incomplete observational data due to sensor limitations, geographic constraints, or measurement costs. Although neural operators significantly advanced PDE solving in terms of computational efficiency and accuracy, their underlying assumption o