Audrey Repetti

45 papers B 2Misc 5Journal 22Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Africanus III. pfb-imaging-A flexible radio interferometric imaging suite. Astron. Comput. Hertzog Landman Bester, Jonathan S. Kenyon, Audrey Repetti, Simon J. Perkins, Oleg M. Smirnov, Tariq Blecher, Yassine Mhiri, Jakob Roth, Ian Heywood, Yves Wiaux, Benjamin V. Hugo
2026	J	`jnl`	Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. SIAM J. Imaging Sci. Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti
2025	J	`jnl`	A Distributed Plug-and-Play MCMC Algorithm for High-Dimensional Inverse Problems. CoRR Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2025	J	`jnl`	A Unified Framework for Lifted Training and Inversion Approaches. CoRR Xiaoyu Wang, Alexandra Valavanis, Azhir Mahmood, Andreas Mang, Martin Benning, Audrey Repetti
2025	J	`jnl`	Embedding Blake-Zisserman Regularization in Unfolded Proximal Neural Networks for Enhanced Edge Detection. IEEE Signal Process. Lett. Hoang Trieu Vy Le, Marion Foare, Audrey Repetti, Nelly Pustelnik
2025	J	`jnl`	Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems. SIAM J. Imaging Sci. Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot
2025	—	`conf`	Multi-GPU distributed PnP-ULA for high-dimensional imaging inverse problems. SSP Maxime Bouton, Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2025	—	`conf`	Unfolded Discrete Mumford-Shah Functional for Joint Image Denoising and Edge Detection. EUSIPCO Hoang Trieu Vy Le, Marion Foare, Audrey Repetti, Nelly Pustelnik
2025	J	`jnl`	Variational Image Regularisation in the Era of Deep Learning: From Model-Based to Deep Priors and Back. J. Math. Imaging Vis. Alessandro Benfenati, Luca Calatroni, Pasquale Cascarano, Nelly Pustelnik, Audrey Repetti, Yu Sun
2024	J	`jnl`	A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. J. Comput. Graph. Stat. Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2024	—	`conf`	A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. MLSP Xiaoyu Wang, Martin Benning, Audrey Repetti
2024	—	`conf`	A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. EUSIPCO Guillaume Lauga, Audrey Repetti, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves, Yves Wiaux
2024	J	`jnl`	A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers. CoRR Xiaoyu Wang, Martin Benning, Audrey Repetti
2024	J	`jnl`	Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. CoRR Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti
2024	J	`jnl`	Learning truly monotone operators with applications to nonlinear inverse problems. CoRR Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot
2024	J	`jnl`	Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. IEEE Trans. Image Process. Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik
2023	—	`conf`	A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. MLSP Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux
2023	Misc	`conf`	A Variational Inequality Model for Learning Neural Networks. ICASSP Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
2023	J	`jnl`	PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. CoRR Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik
2022	J	`jnl`	A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. CoRR Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2022	—	`conf`	A versatile distributed MCMC algorithm for large scale inverse problems. EUSIPCO Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais
2022	—	`conf`	Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. EUSIPCO Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet
2021	B	`conf`	Enhanced Convergent PNP Algorithms For Image Restoration. ICIP Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
2021	J	`jnl`	Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. J. Imaging Marica Pesce, Audrey Repetti, Anna Auría, Alessandro Daducci, Jean-Philippe Thiran, Yves Wiaux
2021	J	`jnl`	Learning Maximally Monotone Operators for Image Recovery. SIAM J. Imaging Sci. Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux
2021	J	`jnl`	Variable Metric Forward-Backward Algorithm for Composite Minimization Problems. SIAM J. Optim. Audrey Repetti, Yves Wiaux
2020	Misc	`conf`	A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging. ICASSP Audrey Repetti, Yves Wiaux
2020	Misc	`conf`	Building Firmly Nonexpansive Convolutional Neural Networks. ICASSP Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
2019	—	`conf`	Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling. CAMSAP Marica Pesce, Audrey Repetti, Yves Wiaux
2019	J	`jnl`	Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization. SIAM J. Imaging Sci. Audrey Repetti, Marcelo Pereyra, Yves Wiaux
2018	—	`conf`	Facet-Based Regularization for Scalable Radio-Interferometric Imaging. EUSIPCO Shahrzad Naghibzadeh, Audrey Repetti, Alle-Jan van der Veen, Yves Wiaux
2018	—	`conf`	Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI. SAM Marica Pesce, Audrey Repetti, Yves Wiaux
2018	—	`conf`	Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging. SAM Jasleen Birdi, Audrey Repetti, Yves Wiaux
2018	—	`conf`	Time-Regularized Blind Deconvolution Approach for Radio Interferometry. SAM Pierre-Antoine Thouvenin, Audrey Repetti, Arwa Dabbech, Yves Wiaux
2018	—	`conf`	Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis. EUSIPCO Audrey Repetti, Marcelo Pereyra, Yves Wiaux
2016	J	`jnl`	A block coordinate variable metric forward-backward algorithm. J. Glob. Optim. Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti
2015	—	`conf`	A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. EUSIPCO Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2015	Misc	`conf`	A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. ICASSP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
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	J	`jnl`	Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ IEEE Signal Process. Lett. Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet
2015	J	`jnl`	Proximal operator of quotient functions with application to a feasibility problem in query optimization. J. Comput. Appl. Math. Guido Moerkotte, Martin J. Montag, Audrey Repetti, Gabriele Steidl
2014	B	`conf`	A nonconvex regularized approach for phase retrieval. ICIP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2014	Misc	`conf`	A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. ICASSP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2014	J	`jnl`	Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory Appl. Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti
2012	—	`conf`	A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. EUSIPCO Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet