Efficient Approximate Posterior Sampling with Annealed Langevin Monte Carlo

Advait Parulekar, Litu Rout, Karthikeyan Shanmugam +1

We study the problem of posterior sampling in the context of score based generative models. We have a trained score network for a prior $p(x)$, a measurement model $p(y|x)$, and ar…