Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides

Sharmila Karumuri, Ilias Bilionis

Inverse problems, i.e., estimating parameters of physical models from experimental data, are ubiquitous in science and engineering. The Bayesian formulation is the gold standard be…