Neural Galerkin Normalizing Flows for Bayesian inference of diffusions

Arxiv CS.LG (machine learning)

The paper introduces a method for Bayesian inference on diffusion model parameters using neural Galerkin normalizing flows. It addresses the challenge of inaccessible boundaries in diffusion processes by combining normalizing flows with a Galerkin approximation.

normalizing-flows

Arxiv CS.LG (machine learning)·Riccardo SaporitiFabio Nobile

7 days ago