Majoration-Minimization algorithms for Image Processing

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Pubblicazioni

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery

Autori: Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet
Pubblicato in: Journal of Mathematical Imaging and Vision, 2022, ISSN 0924-9907
Editore: Kluwer Academic Publishers

Block delayed Majorize-Minimize subspace algorithm for large scale image restoration <sup>*</sup>

Autori: Mathieu Chalvidal, Emilie Chouzenoux, Jean-Baptiste Fest, Claire Lefort
Pubblicato in: Inverse Problems, Numero 39, 2023, Pagina/e 044002, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/acbdb9

Sparse Graphical Linear Dynamical Systems

Autori: Emilie Chouzenoux, Victor Elvira
Pubblicato in: Journal of Machine Learning Research, 2024, ISSN 1532-4435
Editore: MIT Press
DOI: 10.48550/arxiv.2307.03210

Solution of Mismatched Monotone+Lipschitz Inclusion Problems

Autori: Chouzenoux, Emilie; Pesquet, Jean-Christophe; Roldán, Fernando
Pubblicato in: SIAM Journal on Optimization, 2024, ISSN 1052-6234
Editore: Society for Industrial and Applied Mathematics
DOI: 10.48550/arxiv.2310.06402

Unmatched Preconditioning of the Proximal Gradient Algorithm

Autori: Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell
Pubblicato in: IEEE Signal Processing Letters, Numero 4, 2022, Pagina/e 1122 - 1126, ISSN 1070-9908
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lsp.2022.3169088

Graphical Inference in Linear-Gaussian State-Space Models

Autori: Victor Elvira, Emilie Chouzenoux
Pubblicato in: IEEE Transactions on Signal Processing, Numero 70, 2024, Pagina/e 4757-4771, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2022.3209016

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy

Autori: Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet
Pubblicato in: Signal Processing, Numero 218, 2024, Pagina/e 109369, ISSN 0165-1684
Editore: Elsevier BV
DOI: 10.1016/j.sigpro.2023.109369

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution

Autori: Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
Pubblicato in: IEEE Transactions on Image Processing, Numero 32, 2024, Pagina/e 430-445, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2022.3224322

Efficient bayes inference in neural networks through adaptive importance sampling

Autori: Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet
Pubblicato in: Journal of the Franklin Institute, Numero 360, 2023, Pagina/e 12125-12149, ISSN 0016-0032
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jfranklin.2023.08.044

Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch

Autori: Emilie Chouzenoux, Andrés Contreras, Jean-Christophe Pesquet, Marion Savanier
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 16, 2023, Pagina/e 1-34, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m1490223

Optimized Population Monte Carlo

Autori: Victor Elvira, Emilie Chouzenoux
Pubblicato in: IEEE Transactions on Signal Processing, Numero volume 70, 2022, Pagina/e 2489-2501, ISSN 1053-587X
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2022.3172619

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

Autori: Emilie Chouzenoux, Jean-Baptiste Fest
Pubblicato in: Journal of Optimization Theory and Applications, Numero 195, 2022, Pagina/e 919-952, ISSN 0022-3239
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-022-02122-y

Convergence analysis of block majorize-minimize subspace approach

Autori: Emilie Chouzenoux, Jean-Baptiste Fest
Pubblicato in: Optimization Letters, Numero 18, 2024, Pagina/e 1111-1130, ISSN 1862-4472
Editore: Springer Verlag
DOI: 10.1007/s11590-023-02055-z

FAMOUS: a fast instrumental and computational pipeline for multiphoton microscopy applied to 3D imaging of muscle ultrastructure

Autori: Claire Lefort, Mathieu Chalvidal, Alexis Parenté, Véronique Blanquet, Henri Massias, Leatitia Magnol, Emilie Chouzenoux
Pubblicato in: Journal of Physics D: Applied Physics, Numero volume 54, number 27, 2021, Pagina/e 274005, ISSN 1742-6588
Editore: Institute of Physics
DOI: 10.1088/1361-6463/abf8f2

PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes

Autori: Paul Zheng, Emilie Chouzenoux, Laurent Duval
Pubblicato in: IEEE Signal Processing Letters, Numero 30, 2024, Pagina/e 215-219, ISSN 1070-9908
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lsp.2023.3251891

Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density

Autori: Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 9, 2023, Pagina/e 502-516, ISSN 2333-9403
Editore: IEEE
DOI: 10.1109/tci.2023.3279053

On variational inference and maximum likelihood estimation with the $ \lambda $-exponential family

Autori: Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira
Pubblicato in: Foundations of Data Science, Numero 6, 2024, Pagina/e 85-123, ISSN 2639-8001
Editore: Springfield MO: American Institute of Mathematical Science
DOI: 10.3934/fods.2024011

Convergence of proximal gradient algorithm in the presence of adjoint mismatch *

Autori: Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Marion Savanier, Yves Trousset
Pubblicato in: Inverse Problems, Numero 37/6, 2021, Pagina/e 065009, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/abd85c

Simulated annealing: a review and a new scheme

Autori: Thomas Guilmeau, Emilie Chouzenoux, Victor Elvira
Pubblicato in: 2021 IEEE Statistical Signal Processing Workshop, 2021
Editore: IEEE

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems

Autori: Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet
Pubblicato in: 2021 European Signal Processing Conference, 2021, ISSN 2076-1465
Editore: IEEE
DOI: 10.23919/eusipco54536.2021.9615919

Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models

Autori: Émilie Chouzenoux, Víctor Elvira
Pubblicato in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Editore: IEEE
DOI: 10.1109/icassp48485.2024.10447747

GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration

Autori: Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
Pubblicato in: 2021 European Signal Processing Conference, 2021
Editore: IEEE

Proximal-based adaptive simulated annealing for global optimization

Autori: Thomas Guilmeau, Emilie Chouzenoux, Victor Elvira
Pubblicato in: 2022 IEEE International Conference on Acoustics, Speech and Signal Processing, 2022
Editore: IEEE

Stability of Unfolded Forward-Backward to Perturbations in Observed Data

Autori: Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet
Pubblicato in: 2023 31st European Signal Processing Conference (EUSIPCO), 2023
Editore: IEEE
DOI: 10.23919/eusipco58844.2023.10290061

A Proximal Approach to IVA-G with Convergence Guarantees

Autori: Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
Pubblicato in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10096421

A Bregman Majorization-Minimization Framework for PET Image Reconstruction

Autori: Claire Rossignol, Florent Sureau, Émilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet
Pubblicato in: 2022 IEEE International Conference on Image Processing, 2022
Editore: IEEE

Démélange, déconvolution et débruitage conjoints d'un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS)

Autori: Zheng, Paul; Chouzenoux, Emilie; Duval, Laurent
Pubblicato in: Proceedings of GRETSI 2023, Numero 2023, 2023
Editore: GRETSI
DOI: 10.48550/arxiv.2307.01761

Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints

Autori: Victor Elvira, Emilie Chouzenoux
Pubblicato in: 2020 International Conference on Acoustics, Speech and Signal Processing, 2020, ISBN 978-1-5090-6631-5
Editore: ieee
DOI: 10.1109/icassp40776.2020.9053646

Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification

Autori: Jean-Baptiste Fest, Emilie Chouzenoux
Pubblicato in: 2021 European Signal Processing Conference, 2021
Editore: IEEE

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch

Autori: Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset
Pubblicato in: 2020 European Signal Processing Conference, 2020, ISBN 978-9-0827-9705-3
Editore: IEEE
DOI: 10.23919/eusipco47968.2020.9287430

Graphit: Iterative Reweighted ℓ<sub>1</sub>Algorithm for Sparse Graph Inference in State-Space Models

Autori: Émilie Chouzenoux, Víctor Elvira
Pubblicato in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10096021

Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization

Autori: Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Víctor Elvira
Pubblicato in: Proceedings of 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), 2024
Editore: AISTATS
DOI: 10.48550/arxiv.2310.16653

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization

Autori: Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira
Pubblicato in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
Editore: IEEE
DOI: 10.1109/icassp49357.2023.10096619

Block Distributed 3MG Algorithm and its Application to 3D Image Restoration

Autori: Mathieu Chalvidal, Emilie Chouzenoux
Pubblicato in: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Pagina/e 938-942, ISBN 978-1-7281-6395-6
Editore: IEEE
DOI: 10.1109/icip40778.2020.9190921

A new non-convex framework to improve asymptotical knowledge on generic stochastic gradient descent

Autori: Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux
Pubblicato in: Proceedings of IEEE International Workshop on Machine Learning and Image Processing (MLSP 2023), 2023
Editore: IEEE
DOI: 10.48550/arxiv.2307.06987

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