Pub_arxiv_analytical_mmse

New pre-print titled “An analytic theory of convolutional neural network inverse problems solvers”. We derive an analytical theory of convolutional neural network (CNN) inverse problems solvers: under 2 structural constraints, we found analytical, interpretable, and closed-form solutions to the CNN inverse problems solvers. We validate our theory on a large class of CNN architectures and inverse problems.