Provable Mixed-Noise Learning with Flow-Matching

Paul Hagemann, Robert Gruhlke, Bernhard Stankewitz +2

We study Bayesian inverse problems with mixed noise, modeled as a combination of additive and multiplicative Gaussian components. While traditional inference methods often assume f…