The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems

Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel +1

In this work, we train conditional Wasserstein generative adversarial networks to effectively sample from the posterior of physics-based Bayesian inference problems. The generator…