93 citations · 509 across the 17 of their papers we have counts for
18 papers
PnP-IPA: A Provably Convergent Plug-and-Play Inexact Proximal Algorithm for Nonconvex Imaging Problems
Cristiano Parenti, Silvia Bonettini, Marco Prato
Plug-and-Play (PnP) methods have emerged as a highly effective paradigm for solving imaging inverse problems by replacing traditional proximity operators of regularization terms wi…
An abstract convergence framework with application to inertial inexact forward--backward methods
Silvia Bonettini, Peter Ochs, Marco Prato +1
In this paper we introduce a novel abstract descent scheme suited for the minimization of proper and lower semicontinuous functions. The proposed abstract scheme generalizes a set…
Explainable bilevel optimization: an application to the Helsinki deblur challenge
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi +1
In this paper we present a bilevel optimization scheme for the solution of a general image deblurring problem, in which a parametric variational-like approach is encapsulated withi…
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform
Carmelo Scribano, Giorgia Franchini, Marco Prato +1
Since their introduction the Trasformer architectures emerged as the dominating architectures for both natural language processing and, more recently, computer vision applications.…
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas +3
We propose a novel convolutional neural network (CNN), called DONet, designed for learning pseudodifferential operators (DOs) in the context of linear inverse problems. Our s…
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau +2
Variational methods are widely applied to ill-posed inverse problems for they have the ability to embed prior knowledge about the solution. However, the level of performance of the…