Project Heads
Gabriele Steidl (TU), Andrea Walther (HU)
Project Members
N.N.
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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