activity
20072026
most citedA Proximal Decomposition Method for Solving Convex Variational Inverse Problems

208 citations · 1.7k across the 69 of their papers we have counts for

collaborators
Showing math.OCShow all

36 papers · 1 filter

math.OC2026

Nonlinear Forward-Backward Algorithm for Solving Non-monotone+Lipschitz Inclusions with Applications to Adjoint Mismatch Problems

Jean-Christophe Pesquet, Fernando Roldán

This article presents a novel algorithmic framework for solving a broad class of nonlinear inclusion problems involving non-monotone and Lipschitz continuous operators. Our primary…

math.OC2026

Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging

Maxence Adly, Alix Chazottes, Emilie Chouzenoux +2

In this work, we introduce a unifying Bregman-based majorization-minimization (MM) framework for solving nonconvex nonsmooth optimization problems. The proposed approach leverages…

math.OC2025

An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions

Flavia Chorobura, Ion Necoara, Jean-Christophe Pesquet

In this paper, we propose an adaptive forward-backward-forward splitting algorithm for finding a zero of a pseudo-monotone operator which is split as a sum of three operators: the…

math.OC2024★ 1 cited

Stability Bounds for the Unfolded Forward-Backward Algorithm

Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet

We consider a neural network architecture designed to solve inverse problems where the degradation operator is linear and known. This architecture is constructed by unrolling a for…

math.OC2024

An Effective Iterative Solution for Independent Vector Analysis with Convergence Guarantees

Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux +2

Independent vector analysis (IVA) is an attractive solution to address the problem of joint blind source separation (JBSS), that is, the simultaneous extraction of latent sources f…

math.OC2024

Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems

Ewa M. Bednarczuk, Giovanni Bruccola, Jean-Christophe Pesquet +1

Outer approximation methods have long been employed to tackle a variety of optimization problems, including linear programming, in the 1960s, and continue to be effective for solvi…