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Audrey Repetti
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2020 – today
- 2024
- [j9]Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik:
Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. IEEE Trans. Image Process. 33: 4475-4487 (2024) - [c20]Guillaume Lauga, Audrey Repetti, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves, Yves Wiaux:
A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. EUSIPCO 2024: 2287-2291 - [c19]Xiaoyu Wang, Martin Benning, Audrey Repetti:
A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers. MLSP 2024: 1-6 - [i4]Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot:
Learning truly monotone operators with applications to nonlinear inverse problems. CoRR abs/2404.00390 (2024) - [i3]Xiaoyu Wang, Martin Benning, Audrey Repetti:
A lifted Bregman strategy for training unfolded proximal neural network Gaussian denoisers. CoRR abs/2408.08742 (2024) - 2023
- [c18]Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti:
A Variational Inequality Model for Learning Neural Networks. ICASSP 2023: 1-5 - [c17]Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux:
A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. MLSP 2023: 1-6 - [i2]Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik:
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. CoRR abs/2308.03139 (2023) - 2022
- [c16]Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet:
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. EUSIPCO 2022: 957-961 - [c15]Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais:
A versatile distributed MCMC algorithm for large scale inverse problems. EUSIPCO 2022: 2016-2020 - [i1]Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais:
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems. CoRR abs/2210.02341 (2022) - 2021
- [j8]Marica Pesce, Audrey Repetti, Anna Auría, Alessandro Daducci, Jean-Philippe Thiran, Yves Wiaux:
Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. J. Imaging 7(11): 226 (2021) - [j7]Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux:
Learning Maximally Monotone Operators for Image Recovery. SIAM J. Imaging Sci. 14(3): 1206-1237 (2021) - [j6]Audrey Repetti, Yves Wiaux:
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems. SIAM J. Optim. 31(2): 1215-1241 (2021) - [c14]Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Enhanced Convergent PNP Algorithms For Image Restoration. ICIP 2021: 1684-1688 - 2020
- [c13]Audrey Repetti, Yves Wiaux:
A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging. ICASSP 2020: 1434-1438 - [c12]Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux:
Building Firmly Nonexpansive Convolutional Neural Networks. ICASSP 2020: 8658-8662
2010 – 2019
- 2019
- [j5]Audrey Repetti, Marcelo Pereyra, Yves Wiaux:
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization. SIAM J. Imaging Sci. 12(1): 87-118 (2019) - [c11]Marica Pesce, Audrey Repetti, Yves Wiaux:
Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling. CAMSAP 2019: 326-330 - 2018
- [c10]Audrey Repetti, Marcelo Pereyra, Yves Wiaux:
Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis. EUSIPCO 2018: 2668-2672 - [c9]Shahrzad Naghibzadeh, Audrey Repetti, Alle-Jan van der Veen, Yves Wiaux:
Facet-Based Regularization for Scalable Radio-Interferometric Imaging. EUSIPCO 2018: 2678-2682 - [c8]Marica Pesce, Audrey Repetti, Yves Wiaux:
Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI. SAM 2018: 420-424 - [c7]Jasleen Birdi, Audrey Repetti, Yves Wiaux:
Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging. SAM 2018: 465-469 - [c6]Pierre-Antoine Thouvenin, Audrey Repetti, Arwa Dabbech, Yves Wiaux:
Time-Regularized Blind Deconvolution Approach for Radio Interferometry. SAM 2018: 475-479 - 2016
- [j4]Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
A block coordinate variable metric forward-backward algorithm. J. Glob. Optim. 66(3): 457-485 (2016) - 2015
- [b1]Audrey Repetti:
Algorithmes d'optimisation en grande dimension : applications à la résolution de problèmes inverses. (Large scale optimization algorithms: applications to solution of inverse problem). University of Marne-la-Vallée, France, 2015 - [j3]Guido Moerkotte, Martin J. Montag, Audrey Repetti, Gabriele Steidl:
Proximal operator of quotient functions with application to a feasibility problem in query optimization. J. Comput. Appl. Math. 285: 243-255 (2015) - [j2]Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet:
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ1/ℓ2 Regularization. IEEE Signal Process. Lett. 22(5): 539-543 (2015) - [c5]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. EUSIPCO 2015: 235-239 - [c4]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. ICASSP 2015: 3561-3565 - 2014
- [j1]Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory Appl. 162(1): 107-132 (2014) - [c3]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. ICASSP 2014: 1498-1502 - [c2]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A nonconvex regularized approach for phase retrieval. ICIP 2014: 1753-1757 - 2012
- [c1]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. EUSIPCO 2012: 1553-1557
Coauthor Index
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last updated on 2024-11-30 00:18 CET by the dblp team
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