most citedImproving Lipschitz-Constrained Neural Networks by Learning Activation Functions

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cs.CV2022

Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors

Pakshal Bohra, Thanh-an Pham, Jonathan Dong +1

Most modern imaging systems incorporate a computational pipeline to infer the image of interest from acquired measurements. The Bayesian approach to solve such ill-posed inverse pr…