Wen-Han Gao

Giving a trained neural PDE surrogate denser sensor measurements at test time can actually degrade its predictions, exposing widespread distribution collapse under spatial observation shifts.

Single-pass neural operators can actually beat iterative diffusion solvers on sparse PDE recovery, provided latent-space prediction is structurally coupled with physical field decoding.