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math.OC2023
Neural-network-based regularization methods for inverse problems in imaging
Andreas Habring, Martin Holler
This review provides an introduction to - and overview of - the current state of the art in neural-network based regularization methods for inverse problems in imaging. It aims to…
math.OC2023★ 1 cited
Subgradient Langevin Methods for Sampling from Non-smooth Potentials
Andreas Habring, Martin Holler, Thomas Pock
This paper is concerned with sampling from probability distributions on admitting a density of the form , where with $K…