A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2012)

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2014)

A nonconvex regularized approach for phase retrieval. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2014)

Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Optim. Theory Appl., 2014)

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2015)

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2015)

Proximal operator of quotient functions with application to a feasibility problem in query optimization. - Guido Moerkotte; Martin J. Montag; Audrey Repetti; Gabriele Steidl (J. Comput. Appl. Math., 2015)

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ1/ℓ2 Regularization. - Audrey Repetti; Mai Quyen Pham; Laurent Duval; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2015)

Algorithmes d'optimisation en grande dimension : applications à la résolution de problèmes inverses. (Large scale optimization algorithms: applications to solution of inverse problem). - Audrey Repetti (2015)

A block coordinate variable metric forward-backward algorithm. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Glob. Optim., 2016)

Facet-Based Regularization for Scalable Radio-Interferometric Imaging. - Shahrzad Naghibzadeh; Audrey Repetti; Alle-Jan van der Veen; Yves Wiaux (EUSIPCO, 2018)

Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis. - Audrey Repetti; Marcelo Pereyra; Yves Wiaux (EUSIPCO, 2018)

Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging. - Jasleen Birdi; Audrey Repetti; Yves Wiaux (SAM, 2018)

Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI. - Marica Pesce; Audrey Repetti; Yves Wiaux (SAM, 2018)

Time-Regularized Blind Deconvolution Approach for Radio Interferometry. - Pierre-Antoine Thouvenin; Audrey Repetti; Arwa Dabbech; Yves Wiaux (SAM, 2018)

Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling. - Marica Pesce; Audrey Repetti; Yves Wiaux (CAMSAP, 2019)

Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization. - Audrey Repetti; Marcelo Pereyra; Yves Wiaux (SIAM J. Imaging Sci., 2019)

A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging. - Audrey Repetti; Yves Wiaux (ICASSP, 2020)

Building Firmly Nonexpansive Convolutional Neural Networks. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICASSP, 2020)

Enhanced Convergent PNP Algorithms For Image Restoration. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICIP, 2021)

Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. - Marica Pesce; Audrey Repetti; Anna Auría; Alessandro Daducci; Jean-Philippe Thiran; Yves Wiaux (J. Imaging, 2021)

Learning Maximally Monotone Operators for Image Recovery. - Jean-Christophe Pesquet; Audrey Repetti; Matthieu Terris; Yves Wiaux (SIAM J. Imaging Sci., 2021)

Variable Metric Forward-Backward Algorithm for Composite Minimization Problems. - Audrey Repetti; Yves Wiaux (SIAM J. Optim., 2021)

Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. - Audrey Repetti; Matthieu Terris; Yves Wiaux; Jean-Christophe Pesquet (EUSIPCO, 2022)

A versatile distributed MCMC algorithm for large scale inverse problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (EUSIPCO, 2022)

A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (CoRR, 2022)

A Variational Inequality Model for Learning Neural Networks. - Patrick L. Combettes; Jean-Christophe Pesquet; Audrey Repetti (ICASSP, 2023)

A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. - Jean-Baptiste Fest; Audrey Repetti; Emilie Chouzenoux (MLSP, 2023)

PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. - Hoang Trieu Vy Le; Audrey Repetti; Nelly Pustelnik (CoRR, 2023)

A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. - Guillaume Lauga; Audrey Repetti; Elisa Riccietti; Nelly Pustelnik; Paulo Gonçalves 001; Yves Wiaux (EUSIPCO, 2024)

A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. - Xiaoyu Wang; Martin Benning; Audrey Repetti (MLSP, 2024)

Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. - Matthieu Kowalski; Benoît Malézieux; Thomas Moreau 001; Audrey Repetti (CoRR, 2024)

A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. - Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (J. Comput. Graph. Stat., 2024)

Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. - Hoang Trieu Vy Le; Audrey Repetti; Nelly Pustelnik (IEEE Trans. Image Process., 2024)

Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems. - Maxime Bouton; Pierre-Antoine Thouvenin; Audrey Repetti; Pierre Chainais (SSP, 2025)

Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems. - Younes Belkouchi; Jean-Christophe Pesquet; Audrey Repetti; Hugues Talbot (SIAM J. Imaging Sci., 2025)

Embedding Blake-Zisserman Regularization in Unfolded Proximal Neural Networks for Enhanced Edge Detection. - Hoang Trieu Vy Le; Marion Foare; Audrey Repetti; Nelly Pustelnik (IEEE Signal Process. Lett., 2025)