Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
arXiv:2605.10277v1 Announce Type: cross
Abstract: Operator learning for partial differential equations (PDEs) aims to learn solution operators on infinite-dimensional function spaces from finite-resolution data. In this setting, it is important for th…