Emilia Magnani

Linearization Turns Neural Operators into Function-Valued Gaussian Processes

Neural operators generalize neural networks to learn mappings between function spaces from data. They are commonly used to learn solution operators of parametric partial differential equations (PDEs) or propagators of time-dependent PDEs. However, to make them useful in high-stakes simulation scenar…