Disentangled Deep Priors for Bayesian Inverse Problems

Arkaprabha Ganguli, Emil Constantinescu

We propose a structured prior for high-dimensional Bayesian inverse problems based on a disentangled deep generative model whose latent space is partitioned into auxiliary variable…