Unrolled denoising networks provably learn optimal Bayesian inference

Aayush Karan, Kulin Shah, Sitan Chen +1

Much of Bayesian inference centers around the design of estimators for inverse problems which are optimal assuming the data comes from a known prior. But what do these optimality g…