Neural Markov chain Monte Carlo: Bayesian inversion via normalizing flows and variational autoencoders

Giacomo Bottacini, Matteo Torzoni, Andrea Manzoni

This paper introduces a Bayesian framework that combines Markov chain Monte Carlo (MCMC) sampling, dimensionality reduction, and neural density estimation to efficiently handle inv…