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Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/acce5e
Abstract: Learning neural networks using only few available information is an important ongoing research topic with tremendous potential for applications. In this paper, we introduce a powerful regularizer for the variational modeling of inverse problems in…
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Keywords:
normalizing flow;
patchnr learning;
images patch;
patch normalizing ... See more keywords