Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Author:
Funder
National Science Foundation
University of Florida
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,General Mathematics
Link
https://epubs.siam.org/doi/pdf/10.1137/20M1353368
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1. Learned Primal-Dual Reconstruction
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4. Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward–backward splitting, and regularized Gauss–Seidel methods
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