2026
Bias-Spectrum Neural Processes for Parametric PDEs: Architecture Priors Meet PDE Constraints
ICML 2026poster
Parametric partial differential equations (PDEs) serve as fundamental models across science and engineering, yet constructing fast and accurate surrogate models from sparse, irregularly sampled observations with reliable uncertainty quantification remains challenging. Existing approaches struggle to…