Jean-Christophe Pesquet

Laboratoire Centre de Vision Numérique

jean-christophe.pesquet [at] centralesupelec.fr

Mots clés :

  • optimization, inverse problems, artificial intelligence, signal and image processing

En savoir plus sur Jean-Christophe Pesquet

Publications :

  • Communication on a congress - 208 documents
    • Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, Jean-Christophe Pesquet. Unrolled projected gradient algorithm for stain separation in digital histopathological images, 2024-10-27. (https://hal.science/hal-04444439v1)
    • Alix Chazottes, Emilie Chouzenoux, Jean-Christophe Pesquet, Florent Sureau. Deep Equilibrium for Hyperparameter Estimation in Dynamic PET Reconstruction, 2024-10-26. (https://inria.hal.science/hal-04707560v1)
    • Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval. Unrolled deep networks for sparse signal restoration in analytical chemistry, 2024-09-22. (https://inria.hal.science/hal-04707472v1)
    • Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet. Are almost non-negative neural networks universal approximators?, 2024-09-22. (https://hal.science/hal-04698445v1)
    • Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed. Transductive Zero-Shot and Few-Shot CLIP, 2024-06-17. (https://hal.science/hal-04534868v1)
    • Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Stéphane Boutinon, Marius Peloux, Philippe Pinault. Deep learning method for accessible eccentric photorefraction, 2024-05-27. (https://inria.hal.science/hal-04488060v1)
    • Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed. A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer, 2024-05-27. (https://hal.science/hal-04305713v2)
    • Ségolène Martin, Julien Ajdenbaum, Emilie Chouzenoux, Laetitia Magnol, Véronique Blanquet, Jean-Christophe Pesquet, Claire Lefort. Estimating the point-spread-function using 1 µm diameter microspheres for image restoration in biomedical multiphoton microscopy, 2024-04-07. (https://hal.science/hal-04669405v1)
    • Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet. Stability of Unfolded Forward-Backward to Perturbations in Observed Data, 2023-09-04. (https://inria.hal.science/hal-04165350v1)
    • Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed. Proximal Splitting Adversarial Attack for Semantic Segmentation, 2023-06-18. (https://hal.science/hal-04382554v1)
    • Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali. A proximal approach to IVA-G with convergence guarantees, 2023-06-04. (https://inria.hal.science/hal-04094479v1)
    • Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed. Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference, 2022-11-28. (https://hal.science/hal-03827880v1)
    • Claire Rossignol, Florent Sureau, Émilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet. A Bregman Majorization-Minimization Framework for PET Image Reconstruction, 2022-10-16. (https://hal.science/hal-03720547v1)
    • Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Safe Design of Stable Neural Networks for Fault Detection in Small UAVs, 2022-09-06. (https://centralesupelec.hal.science/hal-03825404v1)
    • Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet. A CNC approach for Directional Total Variation, 2022-08-29. (https://hal.science/hal-03692840v2)
    • Ana Neacsu, Razvan Ciubotaru, Jean-Christophe Pesquet, Corneliu Burileanu. Design of Robust Complex-Valued Feed-Forward Neural Networks, 2022-08-29. (https://hal.science/hal-03934660v1)
    • Marion Savanier, Cyril Riddell, Yves Trousset, Emilie Chouzenoux, Jean-Christophe Pesquet. A decomposition method for directional Total Variation with application to needle reconstruction in interventional imaging, 2022-06-12. (https://hal.science/hal-03770330v1)
    • Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Segolene Martin, Jean-Christophe Pesquet. A Non-Convex Proximal Approach for Centroid-Based Classification, 2022-05-23. (https://centralesupelec.hal.science/hal-03688210v1)
    • Nora Leïla Ouzir, Jean-Christophe Pesquet, Frédéric Pascal. A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models, 2022-05-23. (https://hal.science/hal-03763278v1)
    • Sagar Verma, Nicolas Henwood, Marc Castella, Jean-Christophe Pesquet, Al Kassem Jebai. Can GANs recover faults in electrical motor sensors?, 2022-04-25. (https://hal.science/hal-03887143v1)
    • Tassnim Dardouri, M. Kaaniche, A. Benazza-Benyahia, Jean-Christophe Pesquet, G. Dauphin. A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders, 2021-09-19. (https://hal.science/hal-03526467v1)
    • Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux. Enhanced convergent PnP agorithms for image restoration, 2021-09. (https://hal.science/hal-03497818v1)
    • Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet. A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems, 2021-08-23. (https://hal.science/hal-03275387v1)
    • Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval. GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration, 2021-08-23. (https://inria.hal.science/hal-03275427v2)
    • Kavya Gupta, Beatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet, Fragkiskos D. Malliaros. An Adversarial Attacker for Neural Networks in Regression Problems, 2021-08-19. (https://centralesupelec.hal.science/hal-03527640v2)
    • Sagar Verma, Jean-Christophe Pesquet. Sparsifying Networks via Subdifferential Inclusion, 2021-07-18. (https://hal.science/hal-03294543v1)
    • Kavya Gupta, Beatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet. A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data, 2021-06-06. (https://centralesupelec.hal.science/hal-03527634v1)
    • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim. Deep transform and metric learning networks, 2021-06-06. (https://hal.science/hal-03281571v1)
    • Vlad Vasilescu, Ana Neacsu, Emilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu. A Deep Learning Approach for Improved Segmentation of Lesions Related to Covid-19 Chest CT Scans, 2021-04-13. (https://hal.science/hal-03188444v1)
    • Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu. Signal Denoising Using a New Class of Robust Neural Networks, 2021-01-18. (https://centralesupelec.hal.science/hal-03115064v1)
    • Monacer da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet. A Small-Scale Network for Seismic Patterns Classification, 2021-01-18. (https://hal.science/hal-03619395v1)
    • Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset. Proximal Gradient Algorithm in the Presence of Adjoint Mismatch, 2021-01-18. (https://hal.science/hal-02943659v2)
    • Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Optimized Lifting Scheme Based on a Dynamical Fully Connected Network for Image Coding, 2020-10-25. (https://hal.science/hal-03139684v1)
    • Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet. Neural networks based speed-torque estimators for induction motors and performance metrics, 2020-10-18. (https://hal.science/hal-02907937v1)
    • Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet. A hybrid interior point - deep learning approach for Poisson image deblurring, 2020-09-21. (https://hal.science/hal-03647254v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. Robust reconstruction with nonconvex subset constraints, 2020-09-21. (https://hal.science/hal-02977062v1)
    • Marion Savanier, Cyril Riddell, Yves Trousset, Emilie Chouzenoux, Jean-Christophe Pesquet. A Matched CBCT Projector-Backprojector Based on the Convolution of B-splines, 2020-08-03. (https://hal.science/hal-03140763v1)
    • Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux. Building firmly nonexpansive convolutional neural networks, 2020-05-04. (https://hal.science/hal-03139360v1)
    • Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu. Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks, 2020-05-04. (https://hal.science/hal-03140282v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. A moment-based approach for guaranteed tensor decomposition, 2020-05-04. (https://hal.science/hal-02654329v1)
    • Claire Lefort, Emilie Chouzenoux, Laetitia Magnol, Henri Massias, Jean-Christophe Pesquet. Multi-parametric 3D-point-spread function estimation in deep multiphoton microscopy with an original computational strategy dedicated to the reconstruction of muscle images, 2020-04-06. (https://hal.science/hal-02566520v1)
    • Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller. A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis, 2020-04-03. (https://hal.science/hal-03066217v1)
    • Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet. Modeling electrical motor dynamics using encoder-decoder with recurrent skip connection, 2020-02-07. (https://hal.science/hal-02484188v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. Globally optimizing owing to tensor decomposition, 2020-01-18. (https://hal.science/hal-03040027v1)
    • Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet. Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm, 2019-09-22. (https://hal.science/hal-02303511v1)
    • Yosra Marnissi, Dany Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Mohamed El-Badaoui, Amel Benazza-Benyahia. A Data Augmentation Approach for Sampling Gaussian Models in High Dimension, 2019-09-02. (https://hal.science/hal-02314418v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. Detecting the Rank of a Symmetric Tensor, 2019-09-02. (https://hal.science/hal-02284991v1)
    • Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet. Forme lissée de rapports de normes lp/lq (SPOQ) pour la reconstruction des signaux avec pénalisation parcimonieuse., 2019-08-26. (https://hal.science/hal-02179373v1)
    • Loubna El Gueddari, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet, Philippe Ciuciu. Online MR image reconstruction for compressed sensing acquisition in T2* imaging, 2019-08-13. (https://inria.hal.science/hal-02265538v1)
    • Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet. A Novel Smoothed Norm Ratio for Sparse Signal Restoration Application to Mass Spectrometry., 2019-07-01. (https://hal.science/hal-02179379v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. Sparse signal reconstruction with a sign oracle, 2019-07-01. (https://hal.science/hal-02196881v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet. How to globally solve non-convex optimization problems involving an approximate ℓ 0 penalization, 2019-05-12. (https://hal.science/hal-02196878v1)
    • Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet. Online compressed sensing MR image reconstruction for high resolution T2* imaging, 2019-05-11. (https://hal.science/hal-02314904v1)
    • Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet. OSCAR-based reconstruction for compressed sensing and parallel MR imaging, 2019-05-11. (https://hal.science/hal-02314911v1)
    • Claire Lefort, Emilie Chouzenoux, Jean-Christophe Pesquet. PLUMEE 2019 : Reconstruction numérique d'image en microscopie multiphotonique, 2019-04-10. (https://hal.science/hal-02426765v1)
    • Maissa Sghaier, Emilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller. A New Approach for Microcalcification Enhancement in Digital Breast Tomosynthesis Reconstruction, 2019-04-08. (https://hal.science/hal-02314420v1)
    • Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet. Calibrationless oscar-based image reconstruction in compressed sensing parallel MRI, 2019-04-08. (https://inria.hal.science/hal-02101262v1)
    • Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. MM Adapted MH Methods, 2019-02-03. (https://hal.science/hal-02314412v1)
    • Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot. A Multicore Convex Optimization Algorithm with Applications to Video Restoration, 2018-10-07. (https://hal.science/hal-01862210v1)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval. Signal reconstruction from sub-sampled and nonlinearly distorted observations, 2018-09-03. (https://hal.science/hal-01957568v1)
    • Patrick L Combettes, Jean-Christophe Pesquet. Linear convergence of stochastic block-coordinate fixed point algorithms, 2018-09-03. (https://hal.science/hal-01964580v1)
    • Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet. Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm, 2018-07-08. (https://hal.science/hal-01863408v1)
    • Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet. PIPA: A New Proximal Interior Point Algorithm for Large Scale Convex Optimization, 2018-04-15. (https://hal.science/hal-01803422v1)
    • Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet. Block-coordinate proximal algorithms for scale-free texture segmentation, 2018-04-15. (https://inria.hal.science/hal-01736991v1)
    • Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet. A Nonconvex Variational Approach for Robust Graphical Lasso, 2018-04-15. (https://hal.science/hal-01803424v1)
    • Tim Tsz-Kit, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet. Optimal Multivariate Gaussian Fitting for PSF Modeling in Two-Photon Microscopy, 2018-04-04. (https://hal.science/hal-01803413v1)
    • Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet. A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior, 2017-12-10. (https://hal.science/hal-01635601v1)
    • Aurélie Pirayre, Yuling Y. Zheng, Laurent Duval, Jean-Christophe Pesquet. HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation, 2017-09-17. (https://ifp.hal.science/hal-01862840v1)
    • Giovanni Chierchia, Afef Cherni, Emilie Chouzenoux, Jean-Christophe Pesquet. Approche de Douglas-Rachford aléatoire par blocs appliquée à la régression logistique parcimonieuse, 2017-09-05. (https://hal.science/hal-01634525v1)
    • Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir V. Semenov. A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training, 2017-08-28. (https://hal.science/hal-01634538v1)
    • Marc Castella, Jean-Christophe Pesquet. A global optimization approach for rational sparsity promoting criteria, 2017-08-28. (https://hal.science/hal-01666536v1)
    • Marc Castella, Jean-Christophe Pesquet. Recovery of nonlinearly degraded sparse signals through rational optimization, 2017-06-05. (https://hal.science/hal-01575293v1)
    • Sara Cadoni, Emilie Chouzenoux, Jean-Christophe Pesquet, Caroline Chaux. A Block Parallel Majorize-Minimize Memory Gradient Algorithm, 2017-01-29. (https://hal.science/hal-01634531v1)
    • Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet. A Proximal Approach for Solving Matrix Optimization Problems Involving a Bregman Divergence, 2017-01-29. (https://hal.science/hal-01613292v1)
    • Sara Cadoni, Emilie Chouzenoux, Jean-Christophe Pesquet, Caroline Chaux. A block parallel majorize-minimize memory gradient algorithm, 2016-09-25. (https://hal.science/hal-01418417v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet. Random primal-dual proximal iterations for sparse multiclass SVM, 2016-09-13. (https://hal.science/hal-01419697v1)
    • Patrick L Combettes, Jean-Christophe Pesquet. Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration, 2016-08-29. (https://hal.science/hal-01422154v1)
    • Yosra Marnissi, Emilie Chouzenoux, Jean-Christophe Pesquet, Amel Benazza-Benyahia. An Auxiliary Variable Method for Langevin based MCMC algorithms, 2016-06-26. (https://hal.science/hal-01386560v1)
    • Yosra Marnissi, Yuling Y. Zheng, Jean-Christophe Pesquet. Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise, 2016-03-20. (https://hal.science/hal-01370499v1)
    • Lu Wang, Laurent Albera, Lotfi Senhadji, Jean-Christophe Pesquet. An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper), 2015-12-13. (https://hal.science/hal-01245119v1)
    • Marc Castella, Jean-Christophe Pesquet. Optimization of a Geman-McClure like criterion for sparse signal deconvolution, 2015-12-13. (https://hal.science/hal-01263352v2)
    • Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli. A Distributed Strategy for Computing Proximity Operators, 2015-11-08. (https://hal.science/hal-01373644v1)
    • Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods, 2015-09-27. (https://hal.science/hal-01278494v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. Un petit tutoriel sur les méthodes primales-duales proximales pour l'optimisation convexe, 2015-09-08. (https://hal.science/hal-01379997v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection, 2015-09-01. (https://hal.science/hal-01370498v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu. An Epigraphic Splitting Technique for Sparse Multiclass SVM, 2015-07. (https://telecom-paris.hal.science/hal-02287028v1)
    • Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot. When Convex Analysis Meets Mathematical Morphology on Graphs, 2015-05-27. (https://hal.science/hal-01168801v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A Random Block-Coordinate Primal-Dual Proximal Algorithm with Application to 3D Mesh Denoising, 2015-04-19. (https://hal.science/hal-01370504v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. Proximal Primal-Dual Optimization Methods, 2015-01-25. (https://hal.science/hal-01370505v1)
    • Patrick Louis Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Cong Vu. A Forward-Backward View of Some Primal-Dual Optimization Methods in Image Recovery, 2014-10-27. (https://hal.science/hal-01098038v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A nonconvex regularized approach for phase retrieval, 2014-10-27. (https://hal.science/hal-01094452v1)
    • Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot, Caroline Chaux. Iterative Poisson-Gaussian Noise Parametric Estimation for Blind Image Denoising, 2014-10-27. (https://hal.science/hal-01060081v2)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu. A stochastic 3MG algorithm with application to 2d filter identification, 2014-09-01. (https://hal.science/hal-01077261v1)
    • Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet. Majorize-Minimize adapted Metropolis-Hastings algorithm. Application to multichannel image recovery, 2014-09-01. (https://hal.science/hal-01077273v1)
    • Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli. A hybrid alternating proximal method for blind video restoration, 2014-09-01. (https://hal.science/hal-01077269v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu. A multi-parameter optimization approach for complex continuous sparse modelling, 2014-08-20. (https://hal.science/hal-01077331v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems, 2014-05-04. (https://hal.science/hal-01077329v1)
    • Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models, 2014-05-04. (https://hal.science/hal-01090564v1)
    • Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. A constrained-based optimization approach for seismic data recovery problems, 2014-05-04. (https://hal.science/hal-01278420v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu. Epigraphical proximal projection for sparse multiclass SVM, 2014-05-04. (https://hal.science/hal-01796717v1)
    • Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet. Generalized multivariate exponential power prior for wavelet-based multichannel image restoration, 2013-09-15. (https://hal.science/hal-00829444v1)
    • Mireille El Gheche, Anna Jezierska, Jean-Christophe Pesquet, Joumana Farah. A proximal approach for signal recovery based on information measures, 2013-09-09. (https://hal.science/hal-00842713v1)
    • Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina. A complex-valued majorize-minimize memory gradient method with application to parallel MRI, 2013-09-09. (https://hal.science/hal-00866800v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. Reconstruction d'image en présence de bruit gaussien dépendant par un algorithme Explicite-Implicite à métrique variable, 2013-09-03. (https://hal.science/hal-00866804v1)
    • Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina. Estimation d'un signal complexe à partir d'un modèle parcimonieux perturbé, 2013-09-03. (https://hal.science/hal-00866816v1)
    • Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Filtrage de multiples sismiques par ondelettes et optimisation convexe, 2013-09-03. (https://hal.science/hal-00914637v1)
    • Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Seismic multiple removal with a Primal-Dual proximal algorithm, 2013-05-26. (https://hal.science/hal-00825809v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu. An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor, 2013-05-26. (https://hal.science/hal-00826003v1)
    • Mireille El Gheche, Jean-Christophe Pesquet, Farah Joumana. A proximal approach for optimization problems involving Kullback divergences, 2013-05-24. (https://hal.science/hal-00842705v1)
    • Mounir Kaaniche, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet, Amel Benazza-Benyahia. Adaptive lifting schemes with a global L1 minimization technique for image coding, 2012-10-01. (https://hal.science/hal-00827521v1)
    • Mounir Kaaniche, Beatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Adaptive lifting scheme with a global L-1 minimization technique for stereo image coding, 2012-10. (https://telecom-paris.hal.science/hal-02411928v1)
    • Mounir Kaaniche, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. ℓ1-Adapted Non Separable Vector Lifting Schemes For Stereo Image Coding, 2012-08-27. (https://hal.science/hal-00734457v1)
    • Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval. A convex variational approach for multiple removal in seismic data, 2012-08-27. (https://hal.science/hal-00825814v1)
    • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise, 2012-08-27. (https://hal.science/hal-00733786v1)
    • Mounir Kaaniche, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. A convex programming bit allocation method for sparse sources, 2012-05-07. (https://hal.science/hal-00734456v1)
    • Anna Jezierska, Hugues Talbot, Caroline Chaux, Jean-Christophe Pesquet, Gilbert Engler. Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging, 2012-05-02. (https://hal.science/hal-00646382v2)
    • Anna Jezierska, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot. A primal-dual proximal splitting approach for restoring data corrupted with Poisson-Gaussian noise, 2012-03-25. (https://hal.science/hal-00687634v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu. A proximal approach for constrained cosparse modelling, 2012-03-25. (https://hal.science/hal-00826002v1)
    • Mireille El Gheche, Jean-Christophe Pesquet, Youmana Farah, Caroline Chaux, Béatrice Pesquet-Popescu. Disparity map estimation under convex constraints using proximal algorithms, 2011-10-04. (https://hal.science/hal-00733655v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot, Anna Jezierska. A memory gradient algorithm for l2-l0 regularization with applications to image restoration, 2011-09-11. (https://hal.science/hal-00687500v1)
    • Mounir Kaaniche, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Beatrice Pesquet-Popescu. Schémas de lifting adaptatifs via des critères parcimonieux, 2011-09-05. (https://hal.science/hal-00733803v1)
    • Mireille El Gheche, Caroline Chaux, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Youmana Farah. Méthodes proximales pour l'estimation du champ de disparité à partir d'une paire d'images stéréoscopiques en présence de variations d'illumination, 2011-09-05. (https://hal.science/hal-00733649v1)
    • Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux. Bancs de filtres et méthodes proximales pour la restauration d'images, 2011-09-05. (https://hal.science/hal-00733637v1)
    • Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot. An EM approach for Poisson-Gaussian noise modeling, 2011-08-29. (https://hal.science/hal-00733633v1)
    • Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo Grady. Dual constrained TV-based regularization, 2011-05-22. (https://hal.science/hal-00744071v1)
    • Mireille El Gheche, Jean-Christophe Pesquet, Farah Joumana, Mounir Kaaniche, Beatrice Pesquet-Popescu. Proximal splitting methods for depth estimation, 2011-05-22. (https://hal.science/hal-00733840v1)
    • Alexandru Marin, Caroline Chaux, Jean-Christophe Pesquet, Philippe Ciuciu. Image reconstruction from multiple sensors using Stein's principle. Application to parallel MRI, 2011-03-30. (https://hal.science/hal-00733471v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet, Claude Comtat. Parallel Algorithm and Hybrid Regularization for Dynamic PET Reconstruction, 2010-10-30. (https://hal.science/hal-00733493v1)
    • Anna Jezierska, Caroline Chaux, Hugues Talbot, Jean-Christophe Pesquet. Image quantization under spatial smoothness constraints, 2010-09-26. (https://hal.science/hal-00714266v1)
    • Jérôme Bolte, Patrick Louis Combettes, Jean-Christophe Pesquet. Alternating proximal algorithm for blind image recovery, 2010-09-26. (https://hal.science/hal-00844115v1)
    • Luis M. Briceno-Arias, Patrick Louis Combettes, Jean-Christophe Pesquet, Nelly Pustelnik. Proximal method for geometry and texture image decomposition, 2010-09-26. (https://hal.science/hal-00826120v1)
    • Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux. Proximal methods for image restoration using a class of non-tight frame representations, 2010-08-23. (https://hal.science/hal-00714265v1)
    • Mounir Kaaniche, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Beatrice Pesquet-Popescu. Two-dimensional non separable adaptive lifting scheme for still and stereo image coding, 2010-03-14. (https://hal.science/hal-00827529v1)
    • Lotfi Chaari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia. A hierarchical Bayesian model for frame representation, 2010-03-14. (https://hal.science/hal-00853350v1)
    • Mounir Kaaniche, Wided Miled, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Dense disparity map representations for stereo image coding, 2009-11-10. (https://hal.science/hal-00841483v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet, F. Sureau, E. Dush, C. Comtat. Adapted Convex Optimization Algorithm for Wavelet-Based Dynamic PET Reconstruction, 2009-09. (https://hal.science/hal-00621954v1)
    • Lotfi Chaari, Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. Solving inverse problems with overcomplete transforms and convex optimization techniques, 2009-08-02. (https://hal.science/hal-00826119v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. Hybrid regularization for data restoration in the presence of Poisson noise, 2009-08. (https://hal.science/hal-00621941v1)
    • Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu. Minimization of a sparsity promoting criterion for the recovery of complex-valued signals, 2009-04-06. (https://inria.hal.science/inria-00369590v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. A wavelet-based quadratic extension method for image deconvolution in the presence of Poisson noise, 2009-04. (https://hal.science/hal-00621931v1)
    • Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une méthode d'allocation de débit basse-résolution pour des données parcimonieuses, 2009. (https://hal.science/hal-00555302v1)
    • Mounir Kaaniche, Wided Miled, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Dense disparity map representations for stereo image coding, 2009. (https://hal.science/hal-00621939v1)
    • A. Benazza-Benyahia, Jean-Christophe Pesquet, Caroline Chaux. Image Denoising in the Wavelet Transform Domain Based on Stein's Principle, 2008-11. (https://hal.science/hal-00621930v1)
    • Wided Miled, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. A convex programming approach for color stereo matching, 2008-10-08. (https://hal.science/hal-01372371v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. A constrained forward-backward algorithm for image recovery problems, 2008-08. (https://hal.science/hal-00621916v1)
    • L. Chaâri, Jean-Christophe Pesquet, A. Benazza-Benyahia, Philippe Ciuciu. Autocalibrated regularized parallel MRI reconstruction in the wavelet, 2008-05. (https://hal.science/hal-00621892v1)
    • W. Miled, Jean-Christophe Pesquet, M. Parent. Wavelet-constrained stereo matching under photometric variations, 2008-04. (https://hal.science/hal-00621889v1)
    • A. Benazza-Benyahia, Jean-Christophe Pesquet. A SURE approach for image deconvolution in an orthonormal wavelet basis, 2008-03. (https://hal.science/hal-00621928v1)
    • Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Rate-distortion results for Generalized Gaussian distributions, 2008. (https://hal.science/hal-00621907v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. Two denoising Sure-let methods for complex oversampled subband decompositions, 2008. (https://hal.science/hal-00621895v1)
    • Caroline Chaux, Patrick Louis Combettes, Jean-Christophe Pesquet, Valérie R. Wajs. Opérateurs proximaux pour la restauration bayésienne de signaux, 2007-09. (https://hal.science/hal-00621894v1)
    • Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu. Lifting schemes for joint coding of stereoscopic pairs of satellite images, 2007-09. (https://hal.science/hal-00621877v1)
    • T. Petrisor, A. Fraysse, B. Pesquet-Popescu, Jean-Christophe Pesquet. Une nouvelle approche du codage par descriptions multiples, 2007-09. (https://hal.science/hal-00621879v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. Construction de bancs de filtres faiblement redondants, 2007-09. (https://hal.science/hal-00621878v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. Short-term spectral Analysis and synthesis improvements with oversampled inverse filter banks, 2007-08. (https://hal.science/hal-00621898v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. Oversampled inverse complex lapped transform optimization, 2007-04. (https://hal.science/hal-00621824v1)
    • T. Petrisor, B. Pesquet-Popescu, Jean-Christophe Pesquet. A compressed sensing approach to frame-based multiple description coding, 2007-04. (https://hal.science/hal-00621875v1)
    • Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval. 2D dual-tree complex biorthogonal M-band wavelet transform, 2007-04. (https://hal.science/hal-00621884v1)
    • Wided Miled, Jean-Christophe Pesquet, Michel Null Parent. Robust Obstacle Detection based on Dense Disparity Maps, 2007-02-12. (https://inria.hal.science/inria-00129750v1)
    • Claudia Teodora Petrisor, Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. Une nouvelle approche du codage par descriptions multiples, utilisant des représentations linéaires creuses, 2007. (https://hal.science/hal-01119931v1)
    • Wided Miled, Jean-Christophe Pesquet, Michel Null Parent. Dense Disparity Estimation From Stereo Images, 2006-09-13. (https://inria.hal.science/inria-00069063v2)
    • Wided Miled, Jean-Christophe Pesquet, Michel Null Parent. Wavelet Constrained Regularization For Disparity Map Estimation, 2006-09-04. (https://inria.hal.science/inria-00001256v3)
    • Wided Miled, Jean-Christophe Pesquet, M. Parent. Dense disparity estimation from stereo images, 2006-09. (https://hal.science/hal-00621816v1)
    • A. Benazza-Benyahia, Jean-Christophe Pesquet. Multichannel image deconvolution in the wavelet transform domain, 2006-09. (https://hal.science/hal-00621874v1)
    • Caroline Chaux, Patrick Louis Combettes, Jean-Christophe Pesquet, Valérie R. Wajs. Iterative image deconvolution using overcomplete representations, 2006-09. (https://hal.science/hal-00621888v1)
    • Wided Miled, Jean-Christophe Pesquet, Michel Null Parent. Disparity Map Estimation Using A Total Variation Bound, 2006-06-07. (https://inria.hal.science/inria-00001255v1)
    • W. Miled, Jean-Christophe Pesquet, M. Parent. Disparity map estimation using a total variation bound, 2006-06. (https://hal.science/hal-00621818v1)
    • H. H. Bauschke, Patrick Louis Combettes, Jean-Christophe Pesquet. A decomposition method for nonsmooth convex variational signal recovery, 2006-05. (https://hal.science/hal-00621870v1)
    • Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet. A new estimator for image denoising using a 2D dual-tree M-band wavelet decomposition, 2006-05. (https://hal.science/hal-00621899v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. Low redundancy oversampled lapped transforms and application to 3D seismic data filtering, 2006-05. (https://hal.science/hal-00621823v1)
    • Caroline Chaux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Use of Stein's principle for multichannel image denoising, 2006-03. (https://hal.science/hal-00621887v1)
    • Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet. $M$-band filter banks and dual-tree wavelets for engine combustion and geophysical image analysis, 2006. (https://hal.science/hal-00621886v1)
    • J. Hattay, A. Benazza-Benyahia, Jean-Christophe Pesquet. An embedded coder for multispectral image compression based on vector lifting structures, 2005-12. (https://hal.science/hal-00621873v1)
    • Caroline Chaux, Patrick Louis Combettes, Jean-Christophe Pesquet, Valérie R. Wajs. A forward-backward algorithm for image restoration with sparse representations, 2005-11. (https://hal.science/hal-00621893v1)
    • Jérôme Gauthier, L. Duval, Jean-Christophe Pesquet. A non separable 2D complex modulated lapped transform and its applications to seismic data filtering, 2005-09. (https://hal.science/hal-00621822v1)
    • Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Etude du bruit dans une analyse $M$-bandes en arbre dual, 2005-09. (https://hal.science/hal-00621890v1)
    • T. Petrisor, B. Pesquet-Popescu, Jean-Christophe Pesquet. Wavelet-based multiple description coding of images with iterative convex optimization techniques, 2005-09. (https://hal.science/hal-00621880v1)
    • Caroline Chaux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. A block-thresholding method for multispectral image denoising, 2005-08. (https://hal.science/hal-00621849v1)
    • Jean-Christophe Pesquet, Y. Eldar. A minimax approach for mean square denoising, 2005-07. (https://hal.science/hal-00621872v1)
    • Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet, Karine Broto. Seismic data analysis and filtering with dual-tree M-band wavelets, 2005-06. (https://hal.science/hal-01278528v1)
    • Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Seismic data analysis with a dual-tree $M$-band wavelet transform, 2005-06. (https://hal.science/hal-00621900v1)
    • P. Petrisor, C. Tillier, B. Pesquet-Popescu, Jean-Christophe Pesquet. Comparison of redundant wavelet schemes for multiple description, 2005-03. (https://hal.science/hal-00621869v1)
    • Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet. Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics, 2005-03. (https://hal.science/hal-00621677v1)
    • Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. 2D dual-tree M-band wavelet decomposition, 2005-03. (https://hal.science/hal-00621891v1)
    • J. Hattay, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Adaptive lifting for multicomponent image coding through quadtree partitioning, 2005-03. (https://hal.science/hal-00621719v1)
    • A. Elmzoughi, Amel Benazza-Benyahia, Jean-Christophe Pesquet. An interscale multivariate statistical model for MAP multicomponent image denoising in the wavelet transform domain, 2005-03. (https://hal.science/hal-00621708v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Estimating first-order finite-difference information in image restoration problems, 2004-10. (https://hal.science/hal-00621876v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet. An interscale multivariate MAP estimation of multispectral images, 2004-09. (https://hal.science/hal-00621808v1)
    • Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. Hilbert pairs of M-band orthonormal wavelet bases, 2004-09. (https://hal.science/hal-00621901v1)
    • Marc Castella, Jean-Christophe Pesquet. An iterative blind source separation method for convolutive mixtures of images, 2004-09. (https://hal.science/hal-00621871v1)
    • J. Hattay, A. Benazza-Benyahia, Jean-Christophe Pesquet. Adaptive lifting schemes using variable-size block segmentation, 2004-08. (https://hal.science/hal-00621720v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet. An extended SURE approach for multicomponent image denoising, 2004-05. (https://hal.science/hal-00621662v1)
    • Marc Castella, Eric Moreau, Jean-Christophe Pesquet. A quadratic MISO contrast function for blind equalization, 2004-05. (https://hal.science/hal-00621674v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Constraint construction in convex set theoretic signal recovery via Stein's principle,, 2004. (https://hal.science/hal-00017941v1)
    • Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet. Blind MIMO detection of convolutively mixed CPM sources, 2004. (https://hal.science/hal-00621673v1)
    • T. Petrisor, C. Tillier, B. Pesquet-Popescu, Jean-Christophe Pesquet. Redundant multiresolution analysis for multiple description video coding, 2004. (https://hal.science/hal-00621852v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Estimating first-order finite-difference information in image restoration problems, 2004. (https://hal.science/hal-00017849v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Constraint construction in convex set theoretic signal recovert via Stein's principle, 2004. (https://hal.science/hal-00621696v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, H. Masmoudi. Block-based adaptive lifting schemes for multiband image compression, 2003-10. (https://hal.science/hal-00621807v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Incorporating total variation information in image recovery, 2003-09. (https://hal.science/hal-00621801v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, H. Masmoudi. Block-based adaptive lifting schemes for lossless and progressive image coding, 2003-09. (https://hal.science/hal-00621800v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet. Wavelet-based multispectral image denoising with Bernouilli-Gaussian models, 2003-06. (https://hal.science/hal-00621799v1)
    • Marc Castella, Jean-Christophe Pesquet. Source separation of a class of non linear time series, 2003-06. (https://hal.science/hal-00621675v1)
    • Sami Touati, Jean-Christophe Pesquet. Wavelet estimation of cyclospectra, 2003-04. (https://hal.science/hal-00621802v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, M.H. Gharbia. Adapted Vector-lifting schemes for compression of polarimetric and multifrequency SAR images, 2003. (https://hal.science/hal-00621748v1)
    • Marc Castella, Antoine Chevreuil, Jean-Christophe Pesquet. Séparation aveugle d'un mélange convolutif de sources non linéaires par une approche hiérarchique, 2003. (https://hal.science/hal-00621812v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Image deconvolution with total variation bounds, 2003. (https://hal.science/hal-00621697v1)
    • Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu. New contrasts for blind separation of non iid sources in the convolutive case, 2002. (https://hal.science/hal-00621676v1)
  • Work chapter - 10 documents
  • Article in a review - 122 documents
    • Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet. Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions, 2024-09-04. (https://hal.science/hal-04366765v2)
    • Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet. An Unrolled Half-Quadratic Approach for Sparse Signal Recovery in Spectroscopy, 2024-05. (https://inria.hal.science/hal-04229774v2)
    • Julien Ajdenbaum, Emilie Chouzenoux, Claire Lefort, Ségolène Martin, Jean-Christophe Pesquet. A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution, 2024-04-24. (https://hal.science/hal-04296247v2)
    • Quentin Vanderbecq, Maxence Gelard, Jean-Christophe Pesquet, Mathilde Wagner, Lionel Arrive, Marc Zins, Emilie Chouzenoux. Deep Learning for Automatic Bowel-Obstruction Identification on Abdominal CT, 2024-01. (https://inria.hal.science/hal-04416987v1)
    • Aurélie Beaufrère, Nora Ouzir, Paul Emile Zafar, Astrid Laurent-Bellue, Miguel Albuquerque, Gwladys Lubuela, Jules Grégory, Catherine Guettier, Kévin Mondet, Jean-Christophe Pesquet, Valérie Paradis. Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning, 2024. (https://hal.science/hal-04534805v1)
    • Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti. A variational approach for joint image recovery and feature extraction based on spatially varying generalised Gaussian models, 2024. (https://hal.science/hal-03591742v3)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Fernando Roldán. Solution of Mismatched Monotone+Lipschitz Inclusion Problems, 2024. (https://inria.hal.science/hal-04237154v1)
    • Ana-Antonia Neacșu, Jean-Christophe Pesquet, Vlad Vasilescu, Corneliu Burileanu. ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness, 2024. (https://hal.science/hal-04386260v2)
    • Jean-Christophe Pesquet, Corneliu Burileanu, Ana-Antonia Neacșu. EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks, 2023-12-08. (https://hal.science/hal-03751766v2)
    • Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet. Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling, 2023-09. (https://inria.hal.science/hal-04210696v1)
    • Emilie Chouzenoux, Andrés Contreras, Jean-Christophe Pesquet, M. Savanier. Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch, 2023-03-31. (https://inria.hal.science/hal-04210972v2)
    • Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet. Neural speed–torque estimator for induction motors in the presence of measurement noise, 2023-01. (https://hal.science/hal-03887116v1)
    • Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Gabriel Dauphin, Jean-Christophe Pesquet. Joint Learning of Fully Connected Network Models in Lifting Based Image Coders, 2023. (https://hal.science/hal-04372168v1)
    • M. Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell. Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density, 2023. (https://inria.hal.science/hal-04210704v1)
    • Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet. Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution, 2022-12. (https://hal.science/hal-03881393v1)
    • Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim. Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Network, 2022-10. (https://hal.science/hal-03762444v1)
    • Feriel Abboud, Marin Stamm, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot. Distributed Algorithms for Scalable Proximity Operator Computation and Application to Video Denoising, 2022-08. (https://hal.science/hal-03684063v3)
    • Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller. A Novel Task-Based Reconstruction Approach for Digital Breast Tomosynthesis, 2022-04. (https://hal.science/hal-02972386v2)
    • Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell. Unmatched Preconditioning of the Proximal Gradient Algorithm, 2022. (https://hal.science/hal-03654146v1)
    • Kavya Gupta, Fateh Kaakai, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet, Fragkiskos D. Malliaros. Multivariate Lipschitz Analysis of the Stability of Neural Networks, 2022. (https://centralesupelec.hal.science/hal-03621112v1)
    • Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet. A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery, 2022. (https://hal.science/hal-03740823v1)
    • Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Dynamic Neural Network for Lossy-to-Lossless Image Coding, 2021-12-17. (https://hal.science/hal-03526618v1)
    • Marion Savanier, Cyril Riddell, Yves Trousset, Emilie Chouzenoux, Jean-Christophe Pesquet. Magnification-driven B-spline Interpolation for Cone Beam Projection and Backprojection, 2021-12. (https://hal.science/hal-03464469v1)
    • Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux. Learning Maximally Monotone Operators for Image Recovery, 2021-08-19. (https://hal.science/hal-03087515v2)
    • Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval. Sparse signal reconstruction for nonlinear models via piecewise rational optimization, 2021-02. (https://hal.science/hal-02972442v2)
    • Thomas Hortholary, Claire Carrion, Emilie Chouzenoux, Jean-Christophe Pesquet, Claire Lefort. Multiplex‐multiphoton microscopy and computational strategy for biomedical imaging, 2021. (https://hal.science/hal-03126396v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Marion Savanier, Yves Trousset. Convergence of Proximal Gradient Algorithm in the Presence of Adjoint Mismatch, 2021-01. (https://hal.science/hal-03136110v1)
    • Patrick Combettes, Jean-Christophe Pesquet. Fixed Point Strategies in Data Science, 2021. (https://hal.science/hal-03495546v1)
    • Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, Remy Dubois, Nicolas Loiseau, Paul Trichelair, Etienne Bendjebbar, Gabriel Garcia, Corinne Balleyguier, Mansouria Merad, Annabelle Stoclin, Simon Jegou, Franck Griscelli, Nicolas Tetelboum, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Frank Chemouni, Meriem Sefta, Paul Jehanno, Imad Bousaid, Yannick Boursin, Emmanuel Planchet, Mikael Azoulay, Jocelyn Dachary, Fabien Brulport, Adrian Gonzalez, Olivier Dehaene, Jean-Baptiste Schiratti, Kathryn Schutte, Jean-Christophe Pesquet, Hugues Talbot, Elodie Pronier, Gilles Wainrib, Thomas Clozel, Fabrice Barlesi, Marie-France Bellin, Michael Blum. Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients, 2021-01. (https://hal.science/hal-03136018v1)
    • Patrick L Combettes, Jean-Christophe Pesquet. Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators, 2020-06-29. (https://hal.science/hal-02428111v2)
    • Arthur Marmin, Anna Jezierska, Marc Castella, Jean-Christophe Pesquet. Global optimization for recovery of clipped signals corrupted with Poisson-Gaussian noise, 2020-05. (https://hal.science/hal-02877910v1)
    • Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet. Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation, 2020-04. (https://hal.science/hal-02422403v1)
    • Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Majorize-Minimize Adapted Metropolis-Hastings Algorithm, 2020-03. (https://hal.science/hal-01909153v2)
    • Patrick L Combettes, Jean-Christophe Pesquet. Deep Neural Network Structures Solving Variational Inequalities *, 2020-02. (https://hal.science/hal-02425025v1)
    • Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet. A Proximal Interior Point Algorithm with Applications to Image Processing, 2020. (https://hal.science/hal-02120005v2)
    • Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet. SPOQ lp-Over-lq Regularization for Sparse Signal Recovery applied to Mass Spectrometry, 2020. (https://hal.science/hal-02454518v1)
    • Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato. Deep Unfolding of a Proximal Interior Point Method for Image Restoration, 2020. (https://hal.science/hal-01943475v4)
    • Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet. Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images, 2019-10. (https://hal.science/hal-02474585v1)
    • Emilie Chouzenoux, Henri Gérard, Jean-Christophe Pesquet. General risk measures for robust machine learning, 2019-09. (https://hal.science/hal-02109418v1)
    • Emilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet. Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging, 2019-09. (https://hal.science/hal-01985663v1)
    • Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet. Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images - Extended Version, 2019-08-15. (https://hal.science/hal-02073283v4)
    • Luis Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet. A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression, 2019-04. (https://hal.science/hal-01672507v1)
    • Marc Castella, Jean-Christophe Pesquet, Arthur Marmin. Rational optimization for nonlinear reconstruction with approximate ℓ0 penalization, 2019-03. (https://hal.science/hal-01852289v2)
    • Patrick L Combettes, Jean-Christophe Pesquet. Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations With Random Sweeping II: Mean-Square and Linear Convergence, 2019-03-01. (https://hal.science/hal-01964582v1)
    • Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli. An Alternating Proximal Approach for Blind Video Deconvolution, 2019-02-01. (https://hal.science/hal-01668437v2)
    • Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet. BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement, 2018-06-06. (https://ifp.hal.science/hal-01330638v1)
    • Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet. Proximity operators of discrete information divergences, 2018-02-01. (https://hal.science/hal-01672646v1)
    • Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension, 2018. (https://hal.science/hal-01797093v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet. A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation, 2017-09-15. (https://hal.science/hal-01613204v1)
    • Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet. A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise, 2017-05. (https://hal.science/hal-01613200v1)
    • Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli. Dual Block Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences, 2017. (https://hal.science/hal-01418393v2)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti. A block coordinate variable metric forward-backward algorithm, 2016-02. (https://hal.science/hal-00945918v1)
    • Stephen Mc Laughlin, Marcelo Alejandro Pereyra, Alfred O. Hero, Jean-Yves Tourneret, Jean-Christophe Pesquet. Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing, 2016. (https://hal.science/hal-01490737v1)
    • Nelly Pustelnik, Amel Benazza-Benhayia, Yuling Zheng, Jean-Christophe Pesquet. Wavelet-based Image Deconvolution and Reconstruction, 2016. (https://hal.science/hal-01164833v5)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Stochastic Approximations and Perturbations in Forward-Backward Splitting for Monotone Operators, 2016. (https://hal.science/hal-01380000v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet. Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm, 2016. (https://hal.science/hal-01373641v1)
    • Aurélie Pirayre, Camille Couprie, Frédérique Bidard, Laurent Duval, Jean-Christophe Pesquet. BRANE Cut: Biologically-Related A priori Network Enhancement with Graph cuts for Gene Regulatory Network Inference, 2015-12. (https://ifp.hal.science/hal-01330611v1)
    • Marcelo Alejandro Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero, Steve Mclaughlin. A Survey of Stochastic Simulation and Optimization Methods in Signal Processing, 2015-11-02. (https://hal.science/hal-01312917v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu. Epigraphical splitting for solving constrained convex optimization problems with proximal tools, 2015-11. (https://hal.science/hal-01372568v1)
    • Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet. Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ 1 /ℓ 2 Regularization, 2015-05. (https://ifp.hal.science/hal-01328398v1)
    • Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot. A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood, 2015-03. (https://hal.science/hal-00922151v3)
    • Nikos Komodakis, Jean-Christophe Pesquet. Playing with Duality: An overview of recent primal-dual approaches for solving large-scale optimization problems, 2015. (https://hal.science/hal-01010437v3)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping, 2015. (https://hal.science/hal-01372221v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. STOCHASTIC QUASI-FEJER BLOCK-COORDINATE FIXED POINT ITERATIONS WITH RANDOM SWEEPING, 2015. (https://hal.science/hal-01301721v1)
    • Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems, 2014-12. (https://hal.science/hal-01372564v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti. Variable metric forward-backward algorithm for minimizing the sum of a differentiable function and a convex function, 2014-07. (https://hal.science/hal-00789970v1)
    • Lotfi Chaari, Philippe Ciuciu, Sébastien Mériaux, Jean-Christophe Pesquet. Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI, 2014-03-12. (https://inria.hal.science/hal-01084324v1)
    • Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. A Bit Allocation Method for Sparse Source Coding, 2014-01-01. (https://hal.science/hal-00796891v4)
    • Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot, Gilbert Engler. An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation, 2014-01. (https://hal.science/hal-00766686v3)
    • Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal, 2014. (https://hal.science/hal-00914628v1)
    • Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina. A Majorize-Minimize memory gradient method for complex-valued inverse problems, 2014. (https://hal.science/hal-00829788v1)
    • Camille Couprie, Leo Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot. Dual constrained TV-based regularization on graphs, 2013-07-11. (https://hal.science/hal-00743968v2)
    • Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot. A Majorize-Minimize subspace approach for l2-l0 image regularization, 2013. (https://hal.science/hal-00789962v1)
    • Caroline Chaux, Mireille El Gheche, Joumana Farah, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu. A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation, 2013. (https://hal.science/hal-00733454v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators, 2012-06-01. (https://hal.science/hal-00794044v1)
    • Caroline Chaux, M. El-Gheche, J. Farah, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu. A parallel proximal splitting method for disparity estimation under illumination variation, 2012-06. (https://telecom-paris.hal.science/hal-02286551v1)
    • Jean-Christophe Pesquet, Nelly Pustelnik. A Parallel Inertial Proximal Optimization Method, 2012. (https://hal.science/hal-00790702v1)
    • Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux. Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration, 2012. (https://hal.science/hal-00692256v1)
    • Mounir Kaaniche, Beatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Adaptive lifting scheme with sparse criteria for image coding, 2012. (https://hal.science/hal-00692695v1)
    • Luis M. Briceno-Arias, Patrick Louis Combettes, Jean-Christophe Pesquet, Nelly Pustelnik. Proximal algorithms for multicomponent image recovery problems, 2011-09-01. (https://hal.science/hal-00826810v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. Parallel ProXimal Algorithm for image restoration using hybrid regularization, 2011-09-01. (https://hal.science/hal-00826121v1)
    • Caroline Chaux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot. A spatial regularization approach for vector quantization, 2011. (https://hal.science/hal-00530369v1)
    • Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Non-separable lifting scheme with adaptive update step for still and stereo image coding, 2011. (https://hal.science/hal-00692257v1)
    • Lotfi Chaari, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu. A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging, 2011. (https://hal.science/hal-00692260v1)
    • Lotfi Chaari, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia. A Hierarchical Bayesian Model for Frame Representation, 2010. (https://hal.science/hal-00692261v1)
    • Jean-Christophe Pesquet, A. Benazza-Benyahia, Caroline Chaux. A SURE Approach for Digital Signal/Image Deconvolution Problems, 2009-12. (https://hal.science/hal-00621942v1)
    • Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Vector Lifting Schemes for Stereo Image Coding, 2009-11-03. (https://hal.science/hal-00841480v1)
    • Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Vector lifting schemes for stereo image coding, 2009-11. (https://hal.science/hal-00621962v1)
    • Caroline Chaux, Jean-Christophe Pesquet, Nelly Pustelnik. Nested iterative algorithms for convex constrained image recovery problems, 2009-06. (https://hal.science/hal-00621932v2)
    • Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet. Optimization of Synthesis Oversampled Complex Filter Banks, 2009-05-27. (https://hal.science/hal-00405293v1)
    • Aurélia Fraysse, Beatrice Pesquet-Popescu, Jean-Christophe Pesquet. On the uniform quantization of a class of sparse sources, 2009. (https://hal.science/hal-00555301v1)
    • Wided Miled, Jean-Christophe Pesquet, Michel Parent. A Convex Optimization Approach for Depth Estimation Under Illumination Variation, 2009. (https://hal.science/hal-00692900v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. A proximal decomposition method for solving convex variational inverse problems, 2008. (https://hal.science/hal-00692901v1)
    • Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet. A nonlinear Stein based estimator for multichannel image denoising, 2008. (https://hal.science/hal-00617318v1)
    • Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval. Noise Covariance Properties in Dual-Tree Wavelet Decompositions, 2007-12-01. (https://hal.science/hal-00617268v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. A Douglas-Rachford splitting approach to nonsmooth convex variational signal recovery, 2007-12. (https://hal.science/hal-00621820v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Proximal thresholding algorithm for minimization over orthonormal bases, 2007-11. (https://hal.science/hal-00621819v1)
    • Caroline Chaux, Patrick Louis Combettes, Jean-Christophe Pesquet, Valérie R. Wajs. A variational formulation for frame based inverse problems, 2007-06. (https://hal.science/hal-00621883v1)
    • Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet. Quadratic Higher-Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources, 2007-01. (https://hal.science/hal-00621797v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, Jamel Hattay, Hela Masmoudi. Block-based adaptive vector lifting schemes for multichannel image coding, 2007. (https://hal.science/hal-00621861v1)
    • Eric Moreau, Jean-Christophe Pesquet, Nadège Thirion-Moreau. Convolutive blind signal separation based on asymmetrical contrast functions, 2007-01. (https://hal.science/hal-00621821v1)
    • Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet. A Blind Source Separation Framework for detecting CPM sources mixed by a convolutive MIMO filter, 2006-08. (https://centralesupelec.hal.science/hal-00278896v1)
    • Marc Castella, P. Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet. A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter, 2006. (https://hal.science/hal-00621949v1)
    • A. Benazza-Benyahia, Jean-Christophe Pesquet. Building Robust Wavelet Estimators for Multicomponent Images Using Stein's Principle, 2005-11. (https://hal.science/hal-00621795v1)
    • Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu. A Family of Frequency- and Time-Domain Contrasts for Blind Separation of Convolutive Mixtures of Temporally Dependent Signals, 2005-01. (https://hal.science/hal-00621803v1)
    • Patrick Louis Combettes, Caroline Chaux, Jean-Christophe Pesquet, V.R. Wajs. A forward-backward algorithm for image restoration with sparse representations, 2005. (https://hal.science/hal-00017658v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Wavelet-constrained image restoration, 2004-12. (https://hal.science/hal-00621796v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Image Restoration subject to a Total Variation Constraint, 2004-09. (https://hal.science/hal-00621804v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Wavelet-constrained image restoration, 2004. (https://hal.science/hal-00017834v1)
    • Patrick Louis Combettes, Jean-Christophe Pesquet. Image restoration subject to a total variation constraint,, 2004. (https://hal.science/hal-00017934v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, Hamid Krim. A nonlinear diffusion-based 3-band filter bank, 2003-12. (https://hal.science/hal-00621805v1)
    • Anestis Antoniadis, David Leporini, Jean-Christophe Pesquet. Wavelet thresholding for some classes of non-Gaussian noise, 2002-12. (https://hal.science/hal-00621806v1)
    • Sami Touati, Jean-Christophe Pesquet. Some results on the wavelet packet decomposition of nonstationary processes, 2002-11. (https://hal.science/hal-00621779v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet, Mohamed Hamdi. Vector lifting schemes for lossless coding and progressive archival of multispectral image, 2002-09. (https://hal.science/hal-00621664v1)
    • Olivier Cappé, Éric Moulines, Jean-Christophe Pesquet, Athina Petropulu, Xueshi Yang. Long-range dependence and heavy-tail modeling for teletraffic data, 2002-05. (https://hal.science/hal-00621749v1)
    • Amel Benazza-Benyahia, Jean-Christophe Pesquet. A unifying framework for lossless and progressive image coding, 2002. (https://hal.science/hal-00621663v1)
    • Béatrice Pesquet-Popescu, Jean-Christophe Pesquet. Synthesis of bidimensional alpha-stable models with long-range dependence, 2002. (https://hal.science/hal-00621853v1)
    • Jean-Christophe Pesquet, Eric Moreau. Cumulant based independence measures for linear mixtures, 2001-07. (https://hal.science/hal-00621746v1)
    • David Leporini, Jean-Christophe Pesquet. Bayesian wavelet denoising: Besov priors and non-Gaussian noises, 2001. (https://hal.science/hal-00621733v1)
    • Athina P. Petropulu, Jean-Christophe Pesquet, Xueshi Yang, J. Yin. Power-law shot noise and its relationships with long-memory alpha-stable processes, 2000-07. (https://hal.science/hal-00621771v1)
    • Frances Jane Hampson, Jean-Christophe Pesquet. Motion estimation in the presence of illumination variations, 2000. (https://hal.science/hal-00621716v1)
    • David Leporini, Jean-Christophe Pesquet. High-order wavelet packets and cumulant field analysis, 1999-04. (https://hal.science/hal-00621734v1)
  • Pre-submission / Working document - 14 documents
    • Flavia Chorobura, Ion I Necoara, Jean-Christophe Pesquet. AN ADAPTIVE FORWARD-BACKWARD-FORWARD SPLITTING ALGORITHM FOR SOLVING PSEUDO-MONOTONE INCLUSIONS, 2024-05-07. (https://hal.science/hal-04571492v1)
    • Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot. Learning truly monotone operators with applications to nonlinear inverse problems, 2024-04-02. (https://hal.science/hal-04530164v1)
    • Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed. Aggregated f -average Neural Network for Interpretable Ensembling, 2023-11. (https://inria.hal.science/hal-04237149v2)
    • Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet. Unrolled deep networks for sparse signal restoration, 2023. (https://inria.hal.science/hal-03988686v2)
    • Emilie Chouzenoux, Cecile Della Valle, Jean-Christophe Pesquet. Inversion of Integral Models: a Neural Network Approach, 2021-06. (https://hal.science/hal-03243257v1)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Beatrice Pesquet-Popescu. A Proximal Approach for Sparse Multiclass SVM, 2019-09-13. (https://telecom-paris.hal.science/hal-02287007v1)
    • Ali Kanj, Hugues Talbot, Jean-Christophe Pesquet, Raoul Rodriguez Luparello. A Variational Method for Flicker Removal in High Speed Video Sequences, 2018-03-12. (https://hal.science/hal-01729639v1)
    • Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet. A proximal approach for a class of matrix optimization problems, 2017-12-28. (https://hal.science/hal-01673027v1)
    • Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. An Auxiliary Variable Method for MCMC Algorithms in High Dimension, 2017-12-11. (https://hal.science/hal-01661234v1)
    • Yuling Zheng, Aurélie Pirayre, Laurent Duval, Jean-Christophe Pesquet. Joint restoration/segmentation of multicomponent images with variationalBayes and higher-order graphical models (HOGMep), 2017-05-29. (https://ifp.hal.science/hal-01528856v1)
    • Jean-Christophe Pesquet, Audrey Repetti. A Class of Randomized Primal-Dual Algorithms for Distributed Optimization, 2014-06. (https://hal.science/hal-01077615v1)
    • Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina. Cramer-Rao Bound for a Sparse Complex Model, 2014-04. (https://hal.science/hal-00988369v1)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu. A Multi-Parameter Optimization Approach for Complex Continuous Sparse Modelling, 2014-04. (https://hal.science/hal-00988367v1)
    • Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina. A constrained optimization approach for complex sparse perturbed models, 2013-01-21. (https://hal.science/hal-00783298v5)
  • Report - 9 documents
    • Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet. Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling, 2022. (https://hal.science/hal-03920115v1)
    • Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell. Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density, 2022. (https://hal.science/hal-03881278v3)
    • Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Marion Savanier, Yves Trousset. Convergence of Proximal Gradient Algorithm in the Presence of Adjoint Mismatch, 2020-10. (https://hal.science/hal-02961431v1)
    • Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, Matthieu Devilder, Samer Soliman, Olivier Meyrignac, Marie-Pauline Talabard, Jean-Philippe Lamarque, Rémy Dubois, Nicolas Loiseau, Paul Trichelair, Etienne Bendjebbar, Gabriel C Garcia, Corinne Balleyguier, Mansouria Merad, Annabelle Stoclin, Simon Jegou, Franck Griscelli, Nicolas Tetelboum, Yingping Li, Sagar Verma, Matthieu Terris, Tasnim Dardouri, Kavya Gupta, Ana Neacsu, Frank Chemouni, Meriem Sefta, Paul Jehanno, Imad Bousaid, Yannick Boursin, Emmanuel Planchet, Mikael Azoulay, Jocelyn Dachary, Fabien Brulport, Adrián González, Olivier Dehaene, Jean-Baptiste Schiratti, Kathryn Schutte, Jean-Christophe Pesquet, Hugues Talbot, Elodie Pronier, Gilles Wainrib, Thomas Clozel, Fabrice Barlesi, Marie-France Bellin, Michael G B Blum. AI-based multi-modal integration (ScanCov scores) of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients, 2020-05-15. (https://hal.science/hal-02586111v3)
    • Alessandro Benfenati, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet, Aurélie Pirayre. A review on graph optimization and algorithmic frameworks, 2018-10-22. (https://hal.science/hal-01901499v1)
    • Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet. A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise, 2016. (https://hal.science/hal-01418399v1)
    • Harizanov Stanislav, Jean-Christophe Pesquet, Gabriele Steidl. Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems, 2013-01-04. (https://hal.science/hal-00773246v2)
    • Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu. Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I, 2012-10-12. (https://hal.science/hal-00744603v2)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. Parallel ProXimal Algorithm for Image Restoration Using Hybrid Regularization -- Extended version, 2011-10-22. (https://hal.science/hal-00574531v2)
  • PROCEEDINGS - 1 document
    • Claire Lefort, Emilie Chouzenoux, Jean-Christophe Pesquet. Image reconstruction in multiphoton imaging through multivariate Gaussian fitting, 2018. (https://hal.science/hal-04472957v1)
  • PATENT - 3 documents
    • Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet, Mai Quyen Pham. Procédé de traitement de réflexions multiples, 2012-08-24. (https://hal.science/hal-00841581v1)
    • Lotfi Chaari, Sébastien Mériaux, Philippe Ciuciu, Jean-Christophe Pesquet. Method for performing parallel magnetic resonance imaging, 2012-03-08. (https://hal.science/hal-00843491v1)
    • Chaari Lotfi, Jean-Christophe Pesquet, Philippe Ciuciu, Sébastien Mériaux. Spatio-temporal regularized reconstruction for parallel MRI acquisition systems, 2012-03-01. (https://hal.science/hal-00844111v1)
  • POSTER - 3 documents
    • Lotfi Chaâri, Philippe Ciuciu, Amel Benazza-Benyahia, Jean-Christophe Pesquet. Performance of three parallel MRI reconstruction methods in the presence of coil sensitivity map errors, 2010-04. (https://hal.science/hal-00621936v1)
    • Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet. Extension des algorithmes imbriqués pour la résolution de problèmes d'optimisation convexe en imagerie, 2009-09. (https://hal.science/hal-00621940v1)
    • Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu. Wavelet based parallel MRI regularization using bivariate sparsity promoting priors, 2009. (https://hal.science/hal-00621935v1)