EF3 – Model-based Imaging



Convolutional Proximal Neural Networks for Solving Inverse Problems

Project Heads

Gabriele Steidl (TU), Andrea Walther (HU)

Project Members


Project Duration

01.04.2021 − 31.03.2024

Located at

HU Berlin


We aim to construct convolutional proximal neural networks with sparse filters, to analyze their behavior and to develop stochastic minimization algorithms for their training. We want to apply them for solving various inverse problems within a plug-and-play setting, where we intend to give convergence guarantees for the corresponding algorithms.

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