Sharp Support Recovery from Noisy Random Measurements by L1 minimization - Charles Dossal; Marie-Line Chabanol; Gabriel Peyré; Jalal Fadili (CoRR, 2011)

The degrees of freedom of penalized l1 minimization - Charles Dossal; Maher Kachour; Jalal Fadili; Gabriel Peyré; Christophe Chesneau (CoRR, 2011)

Bandlet image estimation with model selection. - Charles Dossal; Erwan Le Pennec; Stéphane Mallat (Signal Process., 2011)

A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context. - Nelly Pustelnik; Charles Dossal; Flavius Turcu; Yannick Berthoumieu; Philippe Ricoux (EUSIPCO, 2012)

Unbiased risk estimation for sparse analysis regularization. - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (ICIP, 2012)

Risk estimation for matrix recovery with spectral regularization - Charles-Alban Deledalle; Samuel Vaiter; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

The degrees of freedom of the Group Lasso for a General Design - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2012)

Robust Sparse Analysis Regularization. - Samuel Vaiter; Gabriel Peyré; Charles Dossal; Jalal Fadili (IEEE Trans. Inf. Theory, 2013)

Lipschitz Bounds for Noise Robustness in Compressive Sensing: Two Algorithms. - Marc Nicodeme; Charles Dossal; Flavius Turcu; Yannick Berthoumieu (SYNASC, 2014)

The Degrees of Freedom of Partly Smooth Regularizers. - Samuel Vaiter; Charles-Alban Deledalle; Gabriel Peyré; Jalal Fadili; Charles Dossal (CoRR, 2014)

An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices. - Yannick Berthoumieu; Charles Dossal; Nelly Pustelnik; Philippe Ricoux; Flavius Turcu (J. Math. Imaging Vis., 2014)

Identifiability and Noise Robustness for l1-Analysis Regularizations in Compressive Sensing. - Marc Nicodeme; Flavius Turcu; Charles Dossal (SYNASC, 2015)

Optimal Dual Certificates for Noise Robustness Bounds in Compressive Sensing. - Marc Nicodeme; Flavius Turcu; Charles Dossal (J. Math. Imaging Vis., 2015)

On the Convergence of the Iterates of the "Fast Iterative Shrinkage/Thresholding Algorithm". - Antonin Chambolle; Charles Dossal (J. Optim. Theory Appl., 2015)

Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA. - Jean-François Aujol; Charles Dossal (SIAM J. Optim., 2015)

Sparse-Based Morphometry: Principle and Application to Alzheimer's Disease. - Pierrick Coupé; Charles-Alban Deledalle; Charles Dossal; Michèle Allard (Patch-MI@MICCAI, 2016)

Identifiability for Gauge Regularizations and Algorithms for Block-Sparse Synthesis in Compressive Sensing. - Flavius Turcu; Charles Dossal; Marc Nicodeme (SYNASC, 2016)

Sampling the Fourier Transform Along Radial Lines. - Charles Dossal; Vincent Duval; Clarice Poon (SIAM J. Numer. Anal., 2017)

The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $ leq3$. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal (SIAM J. Optim., 2018)

Optimal Convergence Rates for Nesterov Acceleration. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (SIAM J. Optim., 2019)

Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal (Math. Program., 2020)

Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations. - Othmane Sebbouh; Charles Dossal; Aude Rondepierre (SIAM J. Optim., 2020)

Overrelaxed Sinkhorn-Knopp Algorithm for Regularized Optimal Transport. - Alexis Thibault; Lénaïc Chizat; Charles Dossal; Nicolas Papadakis (Algorithms, 2021)

Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions. - Vassilis Apidopoulos; Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2021)

Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (SIAM J. Optim., 2022)

Convergence rates of the Heavy-Ball method under the Łojasiewicz property. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2023)

Parameter-Free FISTA by Adaptive Restart and Backtracking. - Jean-François Aujol; Luca Calatroni; Charles Dossal; Hippolyte Labarrière; Aude Rondepierre (SIAM J. Optim., 2024)

Stochastic Differential Equations for Modeling First Order Optimization Methods. - Marc Dambrine; Charles Dossal; Bénédicte Puig; Aude Rondepierre (SIAM J. Optim., 2024)

FISTA is an automatic geometrically optimized algorithm for strongly convex functions. - Jean-François Aujol; Charles Dossal; Aude Rondepierre (Math. Program., 2024)

Gradient correlation is a key ingredient to accelerate SGD with momentum. - Julien Hermant; Marien Renaud; Jean-François Aujol; Charles Dossal; Aude Rondepierre (ICLR, 2025)

FISTA Restart Using an Automatic Estimation of the Growth Parameter. - Jean-François Aujol; Charles Dossal; Hippolyte Labarrière; Aude Rondepierre (J. Optim. Theory Appl., 2025)