Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems

Yuanzhe Wang, Alexandre M. Tartakovsky

We propose latent-space diffusion posterior sampling (L-DPS), an approximate Bayesian framework for high-dimensional inverse problems governed by partial differential equations (PD…