Application of cyclic block generalized gradient projection methods to poisson blind deconvolution. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (EUSIPCO, 2015)

Phase estimation in differential-interference-contrast (DIC) microscopy. - Lola Bautista; Simone Rebegoldi; Laure Blanc-Féraud; Marco Prato; Luca Zanni; Arturo Plata (ISBI, 2016)

A cyclic block coordinate descent method with generalized gradient projections. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Appl. Math. Comput., 2016)

A block coordinate variable metric linesearch based proximal gradient method. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2018)

Inertial Variable Metric Techniques for the Inexact Forward-Backward Algorithm. - Silvia Bonettini; Simone Rebegoldi; Valeria Ruggiero (SIAM J. Sci. Comput., 2018)

Efficient Block Coordinate Methods for Blind Cauchy Denoising. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (NUMTA(1), 2019)

Convergence of Inexact Forward-Backward Algorithms Using the Forward-Backward Envelope. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (SIAM J. Optim., 2020)

A scaled, inexact and adaptive Fast Iterative Soft-Thresholding Algorithm for convex image restoration. - Luca Calatroni; Simone Rebegoldi (ICCSA (Workshops), 2021)

A comparison of nested primal-dual forward-backward methods for Poisson image deblurring. - Simone Rebegoldi; Silvia Bonettini; Marco Prato (ICCSA (Workshops), 2021)

A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems. - Marta Lazzaretti; Simone Rebegoldi; Luca Calatroni; Claudio Estatico (SSVM, 2021)

New convergence results for the inexact variable metric forward-backward method. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Appl. Math. Comput., 2021)

On a fixed-point continuation method for a convex optimization problem. - Jean-Baptiste Fest; Tommi Heikkilä; Ignace Loris; Ségolène Martin; Luca Ratti; Simone Rebegoldi; Gesa Sarnighausen (CoRR, 2022)

Scaled, Inexact, and Adaptive Generalized FISTA for Strongly Convex Optimization. - Simone Rebegoldi; Luca Calatroni (SIAM J. Optim., 2022)

A stochastic first-order trust-region method with inexact restoration for finite-sum minimization. - Stefania Bellavia; Natasa Krejic; Benedetta Morini; Simone Rebegoldi (Comput. Optim. Appl., 2023)

A nested primal-dual FISTA-like scheme for composite convex optimization problems. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2023)

On the Convergence Properties of a Stochastic Trust-Region Method with Inexact Restoration. - Stefania Bellavia; Benedetta Morini; Simone Rebegoldi (Axioms, 2023)

An abstract convergence framework with application to inertial inexact forward-backward methods. - Silvia Bonettini; Peter Ochs; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2023)

A Proposed Workflow for the Restoration of Image Artifacts in Forensic Applications. - Fabrizio Argenti; Stefania Bellavia; Marco Fontani; Gabriele Guarnieri; Martino Jerian; Alberto Limone; Simone Rebegoldi (IEEE Access, 2024)

An investigation of stochastic trust-region based algorithms for finite-sum minimization. - Stefania Bellavia; Benedetta Morini; Simone Rebegoldi (Optim. Methods Softw., 2024)

Barzilai-Borwein-like rules in proximal gradient schemes for ℓ 1 -regularized problems. - Serena Crisci; Simone Rebegoldi; Gerardo Toraldo; Marco Viola (Optim. Methods Softw., 2024)

A new proximal heavy ball inexact line-search algorithm. - Silvia Bonettini; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2024)

Numerical Assessment of Alternating Projection Methods for Matrix Completion with Application to Sparse Image Reconstruction. - Mattia Silei; Stefania Bellavia; Simone Rebegoldi (ICCSA (Workshops 7), 2025)

Convergence analysis of a primal-dual optimization-by-continuation algorithm. - Ignace Loris; Simone Rebegoldi (J. Comput. Appl. Math., 2025)

A counterexample to convergence for multiscale decompositions. - Simone Rebegoldi; Luca Rondi (CoRR, 2025)

On the optimality of convergence conditions for multiscale decompositions in imaging and inverse problems. - Simone Rebegoldi; Luca Rondi (CoRR, 2025)

A nested primal-dual iterated Tikhonov method for regularized convex optimization. - Stefano Aleotti; Silvia Bonettini; Marco Donatelli; Marco Prato; Simone Rebegoldi (Comput. Optim. Appl., 2025)