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math.OC2025
Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent
Christian Daniele, Silvia Villa, Samuel Vaiter +1
Deep Equilibrium Models (DEQs) are implicit neural networks with fixed points, which have recently gained attention for learning image regularization functionals, particularly in s…
math.OC2019★ 9 cited
Accelerated iterative regularization via dual diagonal descent
Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco +1
We propose and analyze an accelerated iterative dual diagonal descent algorithm for the solution of linear inverse problems with general regularization and data-fit functions. In p…