Junxiong Jia

Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem

This paper addresses infinite-dimensional Bayesian inference for inverse problem of partial differential equations with model parameters in infinite-dimensional Hilbert space by introducing a well-defined neural ordinary differential equation in infinite-dimensional space which encodes the prior information.