An invertible generative model for forward and inverse problems

Tristan van Leeuwen, Christoph Brune, Marcello Carioni +1

We formulate inverse problems in a Bayesian framework and aim to train an invertible generative model that is capable of simulation (i.e., sampling from the likelihood) and inferen…