Audrey Repetti

Orcid: 0000-0002-6296-6957

According to our database1, Audrey Repetti authored at least 29 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods.
CoRR, 2023

A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

A Variational Inequality Model for Learning Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.
CoRR, 2022

A versatile distributed MCMC algorithm for large scale inverse problems.
Proceedings of the 30th European Signal Processing Conference, 2022

Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Variable Metric Forward-Backward Algorithm for Composite Minimization Problems.
SIAM J. Optim., 2021

Learning Maximally Monotone Operators for Image Recovery.
SIAM J. Imaging Sci., 2021

Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors.
J. Imaging, 2021

Enhanced Convergent PNP Algorithms For Image Restoration.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Building Firmly Nonexpansive Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Forward-Backward Algorithm for Reweighted Procedures: Application to Radio-Astronomical Imaging.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization.
SIAM J. Imaging Sci., 2019

Fast Spatially Coherent Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Time-Regularized Blind Deconvolution Approach for Radio Interferometry.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis.
Proceedings of the 26th European Signal Processing Conference, 2018

Facet-Based Regularization for Scalable Radio-Interferometric Imaging.
Proceedings of the 26th European Signal Processing Conference, 2018

2016
A block coordinate variable metric forward-backward algorithm.
J. Glob. Optim., 2016

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

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ<sub>1</sub>/ℓ<sub>2</sub> Regularization.
IEEE Signal Process. Lett., 2015

Proximal operator of quotient functions with application to a feasibility problem in query optimization.
J. Comput. Appl. Math., 2015

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function.
J. Optim. Theory Appl., 2014

A nonconvex regularized approach for phase retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise.
Proceedings of the 20th European Signal Processing Conference, 2012


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