Paul Hagemann

Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching

2024 · arXiv (Cornell University)

In inverse problems, many conditional generative models approximate the posterior measure by minimizing a distance between the joint measure and its learned approximation. While this approach also controls the distance between the posterior measures in …