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Aaron Berk

2 accepted papers

2023

Deep Proximal Gradient Method for Learned Convex Regularizers

ICASSP 2023accepted

We consider the problem of simultaneously learning a convex penalty function and its proximity operator for image reconstruction from incomplete measurements. Our goal is to apply Accelerated Proximal Gradient Method (APGM) using a learned proximity operator in place of the true proximity operator o…

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