Audrey Repetti
Orcid: 0000-0002-6296-6957
According to our database1,
Audrey Repetti
authored at least 34 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Image Process., 2024
CoRR, 2024
CoRR, 2024
A Lifted Bregman Strategy for Training Unfolded Proximal Neural Network Gaussian Denoisers.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
Proceedings of the 32nd European Signal Processing Conference, 2024
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
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
A distributed Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.
CoRR, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
SIAM J. Optim., 2021
Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors.
J. Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
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
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
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
Proceedings of the 26th European Signal Processing Conference, 2018
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
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