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SIRF: Synergistic Image Reconstruction Framework., , , , , , , , , and 9 other author(s). Comput. Phys. Commun., (2020)Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications., , , and . SIAM J. Optim., 28 (4): 2783-2808 (2018)On the Convergence of the Stochastic Primal-Dual Hybrid Gradient for Convex Optimization., , and . CoRR, (2020)Equivariant neural networks for inverse problems., , , , , and . CoRR, (2021)Structure preserving deep learning., , , , , , and . CoRR, (2020)On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction., , and . CoRR, (2022)Imaging with Equivariant Deep Learning., , , , , and . CoRR, (2022)Choose Your Path Wisely: Gradient Descent in a Bregman Distance Framework., , , and . SIAM J. Imaging Sci., 14 (2): 814-843 (2021)Regularising Inverse Problems with Generative Machine Learning Models., , and . J. Math. Imaging Vis., 66 (1): 37-56 (January 2024)Inexact Derivative-Free Optimization for Bilevel Learning., and . CoRR, (2020)