Richard D.P. Grumitt

Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference

We propose a general purpose Bayesian inference algorithm for expensive likelihoods, replacing the stochastic term in the Langevin equation with a deterministic density gradient term. The particle density is evaluated from the current particle positions using a Normalizing Flow (NF), which is differ…