Jean-Christophe Pesquet

347 papers A* 6B 25C 6Misc 48Journal 153Unranked 108

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Kernel Matrix Estimation of a Determinantal Point Process from a Finite Set of Samples: Properties and Algorithms. Trans. Mach. Learn. Res. Marc Castella, Jean-Christophe Pesquet
2025	J	`jnl`	Aggregatedf-average neural network applied to few-shot class incremental learning. Signal Process. Mathieu Vu, Émilie Chouzenoux, Ismail Ben Ayed, Jean-Christophe Pesquet
2025	J	`jnl`	An Effective Iterative Solution for Independent Vector Analysis With Convergence Guarantees. IEEE Trans. Signal Process. Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
2025	J	`jnl`	Analyse comparative d'algorithmes de restauration en architecture dépliée pour des signaux chromatographiques parcimonieux. CoRR Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
2025	—	`conf`	Closed-Set Speaker Identification using Few-Shot Transductive Learning. EUSIPCO Gabriel Pirlogeanu, Ana Neacsu, Horia Cucu, Jean-Christophe Pesquet, Ismail Ben Ayed
2025	—	`conf`	Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis. SSP Gaspard Blaise, Clément Cosserat, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
2025	J	`jnl`	Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems. SIAM J. Imaging Sci. Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot
2025	—	`conf`	Numerical Implementation of Variational Morphological Operators on Graphs. DGMM Miguel Amorim, Jean-Christophe Pesquet, Tristan Portugues, Antonio Silveti-Falls, Hugues Talbot
2025	J	`jnl`	Stability Bounds for the Unfolded Forward-Backward Algorithm. J. Math. Imaging Vis. Emilie Chouzenoux, Cécile de Valle, Jean-Christophe Pesquet
2025	A*	`conf`	UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning. CVPR Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed
2025	J	`jnl`	Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. CoRR Ségolène Martin, Jean-Christophe Pesquet, Gabriele Steidl, Ismail Ben Ayed
2024	—	`conf`	A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. ISBI Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2024	J	`jnl`	A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models. J. Math. Imaging Vis. Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti
2024	J	`jnl`	ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness. SIAM J. Math. Data Sci. Ana Neacsu, Jean-Christophe Pesquet, Vlad Vasilescu, Corneliu Burileanu
2024	J	`jnl`	An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. Signal Process. Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet
2024	—	`conf`	Are Almost Non-Negative Neural Networks Universal Approximators? MLSP Vlad Vasilescu, Ana Neacsu, Jean-Christophe Pesquet
2024	J	`jnl`	Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. IEEE Trans. Signal Process. Nora Ouzir, Frédéric Pascal, Jean-Christophe Pesquet
2024	—	`conf`	Deep Learning Method for Accessible Eccentric Photorefraction. ISBI Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Stéphane Boutinon, Marius Peloux, Philippe Pinault
2024	J	`jnl`	EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Trans. Intell. Syst. Technol. Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu
2024	J	`jnl`	Joint Learning of Fully Connected Network Models in Lifting Based Image Coders. IEEE Trans. Image Process. Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Gabriel Dauphin, Jean-Christophe Pesquet
2024	J	`jnl`	Learning truly monotone operators with applications to nonlinear inverse problems. CoRR Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot
2024	J	`jnl`	Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning. CoRR 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
2024	J	`jnl`	Solution of Mismatched Monotone+Lipschitz Inclusion Problems. SIAM J. Optim. Emilie Chouzenoux, Jean-Christophe Pesquet, Fernando Roldán
2024	J	`jnl`	Stability Bounds for the Unfolded Forward-Backward Algorithm. CoRR Emilie Chouzenoux, Cécile de Valle, Jean-Christophe Pesquet
2024	J	`jnl`	Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed
2024	A*	`conf`	Transductive Zero-Shot and Few-Shot CLIP. CVPR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	J	`jnl`	Transductive Zero-Shot and Few-Shot CLIP. CoRR Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	J	`jnl`	UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning. CoRR Long Zhou, Fereshteh Shakeri, Aymen Sadraoui, Mounir Kaaniche, Jean-Christophe Pesquet, Ismail Ben Ayed
2024	—	`conf`	Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. MLSP Mouna Gharbi, Silvia Villa, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
2024	B	`conf`	Unrolled Projected Gradient Algorithm For Stain Separation In Digital Histopathological Images. ICIP Aymen Sadraoui, Astrid Laurent-Bellue, Mounir Kaaniche, Amel Benazza-Benyahia, Catherine Guettier, Jean-Christophe Pesquet
2023	J	`jnl`	A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. J. Math. Imaging Vis. Emilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet
2023	Misc	`conf`	A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
2023	Misc	`conf`	A Variational Inequality Model for Learning Neural Networks. ICASSP Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
2023	J	`jnl`	A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer. CoRR Aymen Sadraoui, Ségolène Martin, Eliott Barbot, Astrid Laurent-Bellue, Jean-Christophe Pesquet, Catherine Guettier, Ismail Ben Ayed
2023	J	`jnl`	Aggregated f-average Neural Network for Interpretable Ensembling. CoRR Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2023	J	`jnl`	Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. SIAM J. Imaging Sci. Emilie Chouzenoux, Andrés Contreras, Jean-Christophe Pesquet, Marion Savanier
2023	J	`jnl`	Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density. IEEE Trans. Computational Imaging Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
2023	J	`jnl`	Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet
2023	J	`jnl`	Majorization-Minimization for sparse SVMs. CoRR Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
2023	J	`jnl`	Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise. IEEE Trans. Ind. Electron. Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet
2023	A*	`conf`	Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2023	—	`conf`	Stability of Unfolded Forward-Backward to Perturbations in Observed Data. EUSIPCO Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet
2023	J	`jnl`	Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Trans. Image Process. Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
2022	B	`conf`	A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. ICIP Claire Rossignol, Florent Sureau, Emilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet
2022	—	`conf`	A CNC approach for Directional Total Variation. EUSIPCO Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet
2022	J	`jnl`	A CNC approach for Directional Total Variation. CoRR Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet
2022	Misc	`conf`	A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal
2022	Misc	`conf`	A Non-Convex Proximal Approach for Centroid-Based Classification. ICASSP Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Ségolène Martin, Jean-Christophe Pesquet
2022	J	`jnl`	A Novel Task-Based reconstruction approach for digital breast tomosynthesis. Medical Image Anal. Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller
2022	J	`jnl`	A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. CoRR Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti
2022	J	`jnl`	Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density. CoRR Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
2022	J	`jnl`	Deep transform and metric learning network: Wedding deep dictionary learning and neural network. Neurocomputing Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
2022	—	`conf`	Design of Robust Complex-Valued Feed-Forward Neural Networks. EUSIPCO Ana Neacsu, Razvan Ciubotaru, Jean-Christophe Pesquet, Corneliu Burileanu
2022	J	`jnl`	Distributed algorithms for scalable proximity operator computation and application to video denoising. Digit. Signal Process. Feriel Abboud, Marin Stamm, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot
2022	—	`conf`	Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. EUSIPCO Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet
2022	J	`jnl`	Dynamic Neural Network for Lossy-to-Lossless Image Coding. IEEE Trans. Image Process. Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2022	J	`jnl`	Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet
2022	J	`jnl`	Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	—	`conf`	Safe Design of Stable Neural Networks for Fault Detection in Small UAVs. SAFECOMP Workshops Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2022	J	`jnl`	Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	A*	`conf`	Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
2022	J	`jnl`	Unmatched Preconditioning of the Proximal Gradient Algorithm. IEEE Signal Process. Lett. Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
2021	—	`conf`	A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. ISBI Vlad Vasilescu, Ana Neacsu, Emilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu
2021	B	`conf`	A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. ICIP Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Gabriel Dauphin
2021	—	`conf`	A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. EUSIPCO Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet
2021	Misc	`conf`	A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data. ICASSP Kavya Gupta, Béatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet
2021	—	`conf`	An Adversarial Attacker for Neural Networks in Regression Problems. AISafety@IJCAI Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros
2021	Misc	`conf`	Deep Transform and Metric Learning Networks. ICASSP Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
2021	J	`jnl`	Deep Transform and Metric Learning Networks. CoRR Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
2021	B	`conf`	Enhanced Convergent PNP Algorithms For Image Restoration. ICIP Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
2021	J	`jnl`	Fixed Point Strategies in Data Science. IEEE Trans. Signal Process. Patrick L. Combettes, Jean-Christophe Pesquet
2021	—	`conf`	GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. EUSIPCO Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
2021	J	`jnl`	Learning Maximally Monotone Operators for Image Recovery. SIAM J. Imaging Sci. Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux
2021	J	`jnl`	Sparse signal reconstruction for nonlinear models via piecewise rational optimization. Signal Process. Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
2021	A*	`conf`	Sparsifying Networks via Subdifferential Inclusion. ICML Sagar Verma, Jean-Christophe Pesquet
2021	J	`jnl`	Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. CoRR Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
2020	—	`conf`	A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. MLSP Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet
2020	Misc	`conf`	A Moment-Based Approach for Guaranteed Tensor Decomposition. ICASSP Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
2020	—	`conf`	A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. ISBI Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller
2020	J	`jnl`	A Proximal Interior Point Algorithm with Applications to Image Processing. J. Math. Imaging Vis. Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet
2020	—	`conf`	A Small-Scale Network for Seismic Patterns Classification. EUSIPCO Monacér da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet
2020	Misc	`conf`	Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. ICASSP Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu
2020	Misc	`conf`	Building Firmly Nonexpansive Convolutional Neural Networks. ICASSP Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
2020	J	`jnl`	Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. CoRR Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
2020	J	`jnl`	Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise. IEEE Signal Process. Lett. Arthur Marmin, Anna Jezierska, Marc Castella, Jean-Christophe Pesquet
2020	—	`conf`	Globally Optimizing Owing to Tensor Decomposition. EUSIPCO Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
2020	J	`jnl`	Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators. SIAM J. Math. Data Sci. Patrick L. Combettes, Jean-Christophe Pesquet
2020	J	`jnl`	Majorize-Minimize Adapted Metropolis-Hastings Algorithm. IEEE Trans. Signal Process. Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2020	A*	`conf`	Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. AAAI Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet
2020	J	`jnl`	Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection. CoRR Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet
2020	C	`conf`	Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics. IECON Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet
2020	B	`conf`	Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding. ICIP Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2020	—	`conf`	Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. EUSIPCO Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset
2020	J	`jnl`	Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Process. Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet
2020	—	`conf`	Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach. MLSP Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
2020	J	`jnl`	SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry. IEEE Trans. Signal Process. Afef Cherni, Emilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet
2020	—	`conf`	Signal Denoising Using a New Class of Robust Neural Networks. EUSIPCO Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu
2020	J	`jnl`	Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization. CoRR Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
2019	—	`conf`	A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. EUSIPCO Yosra Marnissi, Dany Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Mohamed El Badaoui, Amel Benazza-Benyahia
2019	—	`conf`	A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. ISBI Maissa Sghaier, Emilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller
2019	J	`jnl`	A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. Comput. Optim. Appl. Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet
2019	J	`jnl`	An alternating proximal approach for blind video deconvolution. Signal Process. Image Commun. Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
2019	—	`conf`	Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. ISBI Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet
2019	—	`conf`	Detecting the Rank of a Symmetric Tensor. EUSIPCO Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
2019	Misc	`conf`	How to Globally Solve Non-convex Optimization Problems Involving an Approximate ℓ0 Penalization. ICASSP Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
2019	B	`conf`	Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. ICIP Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet
2019	J	`jnl`	Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. J. Math. Imaging Vis. Emilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet
2019	J	`jnl`	Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. CoRR Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
2019	J	`jnl`	Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. IEEE Signal Process. Lett. Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
2019	J	`jnl`	Rational Optimization for Nonlinear Reconstruction With Approximate ℓ IEEE Trans. Signal Process. Marc Castella, Jean-Christophe Pesquet, Arthur Marmin
2019	J	`jnl`	Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence. Math. Program. Patrick L. Combettes, Jean-Christophe Pesquet
2018	B	`conf`	A Multicore Convex Optimization Algorithm with Applications to Video Restoration. ICIP Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot
2018	Misc	`conf`	A Nonconvex Variational Approach for Robust Graphical Lasso. ICASSP Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet
2018	J	`jnl`	A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
2018	J	`jnl`	An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. Entropy Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2018	J	`jnl`	BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. IEEE ACM Trans. Comput. Biol. Bioinform. Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2018	Misc	`conf`	Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. ICASSP Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet
2018	J	`jnl`	Deep Unfolding of a Proximal Interior Point Method for Image Restoration. CoRR Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato
2018	—	`conf`	Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. SAM Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet
2018	—	`conf`	Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms. EUSIPCO Patrick L. Combettes, Jean-Christophe Pesquet
2018	—	`conf`	Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. ISBI Tim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet
2018	Misc	`conf`	PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. ICASSP Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet
2018	J	`jnl`	Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2018	—	`conf`	Signal Reconstruction from Sub-sampled and Nonlinearly Distorted Observations. EUSIPCO Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
2018	—	`conf`	Spatially variant PSF modeling in confocal macroscopy. ISBI Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet
2017	J	`jnl`	A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior. CoRR Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
2017	J	`jnl`	A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. CoRR Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet
2017	J	`jnl`	A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. IEEE Trans. Signal Process. Emilie Chouzenoux, Jean-Christophe Pesquet
2017	J	`jnl`	A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. IEEE Trans. Computational Imaging Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet
2017	—	`conf`	A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior. CAMSAP Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
2017	—	`conf`	A global optimization approach for rational sparsity promoting criteria. EUSIPCO Marc Castella, Jean-Christophe Pesquet
2017	—	`conf`	A two-stage subspace trust region approach for deep neural network training. EUSIPCO Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
2017	J	`jnl`	Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences. J. Math. Imaging Vis. Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
2017	B	`conf`	HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation. ICIP Aurélie Pirayre, Yuling Zheng, Laurent Duval, Jean-Christophe Pesquet
2017	J	`jnl`	Image Analysis Using a Dual-Tree M-Band Wavelet Transform. CoRR Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2017	J	`jnl`	Spatially variant PSF modeling in confocal macroscopy. CoRR Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet, Gilbert Engler
2016	J	`jnl`	A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE J. Sel. Top. Signal Process. Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin
2016	J	`jnl`	A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. CoRR Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet
2016	J	`jnl`	A block coordinate variable metric forward-backward algorithm. J. Glob. Optim. Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti
2016	B	`conf`	A block parallel majorize-minimize memory gradient algorithm. ICIP Sara Cadoni, Emilie Chouzenoux, Jean-Christophe Pesquet, Caroline Chaux
2016	—	`conf`	An auxiliary variable method for Langevin based MCMC algorithms. SSP Yosra Marnissi, Emilie Chouzenoux, Jean-Christophe Pesquet, Amel Benazza-Benyahia
2016	J	`jnl`	Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. IEEE Signal Process. Lett. Emilie Chouzenoux, Jean-Christophe Pesquet
2016	Misc	`conf`	Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise. ICASSP Yosra Marnissi, Yuling Zheng, Jean-Christophe Pesquet
2016	J	`jnl`	Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing. IEEE J. Sel. Top. Signal Process. Steve McLaughlin, Marcelo Pereyra, Alfred O. Hero III, Jean-Yves Tourneret, Jean-Christophe Pesquet
2016	J	`jnl`	Proximity Operators of Discrete Information Divergences. CoRR Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2016	—	`conf`	Random primal-dual proximal iterations for sparse multiclass SVM. MLSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet
2016	—	`conf`	Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration. EUSIPCO Patrick L. Combettes, Jean-Christophe Pesquet
2015	J	`jnl`	A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. SIAM J. Imaging Sci. Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot
2015	J	`jnl`	A Proximal Approach for Sparse Multiclass SVM. CoRR Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2015	Misc	`conf`	A distributed strategy for computing proximity operators. ACSSC Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
2015	B	`conf`	A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences. ICIP Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
2015	—	`conf`	A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. EUSIPCO Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2015	Misc	`conf`	A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. ICASSP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2015	—	`conf`	An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence. CAMSAP Lu Wang, Laurent Albera, Lotfi Senhadji, Jean-Christophe Pesquet
2015	J	`jnl`	BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference. BMC Bioinform. Aurélie Pirayre, Camille Couprie, Frédérique Bidard, Laurent Duval, Jean-Christophe Pesquet
2015	B	`conf`	Color deflickering for high-speed video in the presence of artificial lighting. ICIP Ali Kanj, Hugues Talbot, Jean-Christophe Pesquet, Raoul Rodriguez Luparello
2015	J	`jnl`	Epigraphical projection and proximal tools for solving constrained convex optimization problems. Signal Image Video Process. Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2015	J	`jnl`	Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ IEEE Signal Process. Lett. Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet
2015	Misc	`conf`	Fast convex optimization for connectivity enforcement in gene regulatory network inference. ICASSP Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2015	—	`conf`	Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. EUSIPCO Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
2015	—	`conf`	Optimization of a Geman-McClure like criterion for sparse signal deconvolution. CAMSAP Marc Castella, Jean-Christophe Pesquet
2015	J	`jnl`	Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. IEEE Signal Process. Mag. Nikos Komodakis, Jean-Christophe Pesquet
2015	B	`conf`	Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods. ICIP Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2015	J	`jnl`	Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping. SIAM J. Optim. Patrick L. Combettes, Jean-Christophe Pesquet
2015	J	`jnl`	Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. CoRR Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin
2015	C	`conf`	When Convex Analysis Meets Mathematical Morphology on Graphs. ISMM Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot
2014	J	`jnl`	A Bit Allocation Method for Sparse Source Coding. IEEE Trans. Image Process. Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	A Majorize-Minimize Memory Gradient method for complex-valued inverse problems. Signal Process. Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina
2014	J	`jnl`	A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. IEEE Trans. Image Process. Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. CoRR Mai Quyen Pham, Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet
2014	J	`jnl`	A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. IEEE Trans. Signal Process. Mai Quyen Pham, Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet
2014	Misc	`conf`	A constrained-based optimization approach for seismic data recovery problems. ICASSP Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2014	B	`conf`	A forward-backward view of some primal-dual optimization methods in image recovery. ICIP Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu
2014	—	`conf`	A hybrid alternating proximal method for blind video restoration. EUSIPCO Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
2014	—	`conf`	A multi-parameter optimization approach for complex continuous sparse modelling. DSP Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu
2014	B	`conf`	A nonconvex regularized approach for phase retrieval. ICIP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2014	Misc	`conf`	A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. ICASSP Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2014	—	`conf`	A stochastic 3MG algorithm with application to 2D filter identification. EUSIPCO Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu
2014	Misc	`conf`	Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models. ICASSP Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation. IEEE Trans. Signal Process. Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot, Gilbert Engler
2014	—	`conf`	Cramer-Rao bound for a sparse complex model. COMM Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina
2014	Misc	`conf`	Epigraphical proximal projection for sparse multiclass SVM. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2014	B	`conf`	Iterative poisson-Gaussian noise parametric estimation for blind image denoising. ICIP Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot, Caroline Chaux
2014	—	`conf`	Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. EUSIPCO Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet
2014	J	`jnl`	Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems. CoRR Nikos Komodakis, Jean-Christophe Pesquet
2014	J	`jnl`	Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory Appl. Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti
2013	J	`jnl`	A Majorize-Minimize Subspace Approach for ℓ SIAM J. Imaging Sci. Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot
2013	J	`jnl`	A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. J. Math. Imaging Vis. Caroline Chaux, Mireille El Gheche, Joumana Farah, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2013	—	`conf`	A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI. EUSIPCO Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina
2013	Misc	`conf`	A proximal approach for optimization problems involving kullback divergences. ICASSP Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah
2013	—	`conf`	A proximal approach for signal recovery based on information measures. EUSIPCO Mireille El Gheche, Anna Jezierska, Jean-Christophe Pesquet, Joumana Farah
2013	Misc	`conf`	An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2013	J	`jnl`	Dual Constrained TV-based Regularization on Graphs. SIAM J. Imaging Sci. Camille Couprie, Leo J. Grady, Laurent Najman, Jean-Christophe Pesquet, Hugues Talbot
2013	—	`conf`	Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. SSVM Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl
2013	B	`conf`	Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. ICIP Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet
2013	Misc	`conf`	Seismic multiple removal with a primal-dual proximal algorithm. ICASSP Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2012	C	`conf`	A convex programming bit allocation method for sparse sources. PCS Mounir Kaaniche, Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2012	—	`conf`	A convex variational approach for multiple removal in seismic data. EUSIPCO Diego Gragnaniello, Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
2012	—	`conf`	A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. EUSIPCO Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet
2012	Misc	`conf`	A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise. ICASSP Anna Jezierska, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot
2012	Misc	`conf`	A proximal approach for constrained cosparse modelling. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012	J	`jnl`	Adaptive lifting scheme with sparse criteria for image coding. EURASIP J. Adv. Signal Process. Mounir Kaaniche, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2012	B	`conf`	Adaptive lifting schemes with a global ℓ1 minimization technique for image coding. ICIP Mounir Kaaniche, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet, Amel Benazza-Benyahia
2012	—	`conf`	Comparison of two proximal splitting algorithms for solving multilabel disparity estimation problems. EUSIPCO Sonja Hiltunen, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012	J	`jnl`	Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I CoRR Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012	J	`jnl`	Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging CoRR Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu
2012	—	`conf`	Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging. ISBI Anna Jezierska, Hugues Talbot, Caroline Chaux, Jean-Christophe Pesquet, Gilbert Engler
2012	J	`jnl`	Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. IEEE Trans. Signal Process. Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2012	—	`conf`	ℓ1-adapted non separable vector lifting schemes for stereo image coding. EUSIPCO Mounir Kaaniche, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2011	—	`conf`	3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. ISBI Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Philippe Ciuciu, Jean-Christophe Pesquet
2011	J	`jnl`	4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI CoRR Lotfi Chaâri, Sébastien Mériaux, Solveig Badillo, Jean-Christophe Pesquet, Philippe Ciuciu
2011	B	`conf`	A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration. ICIP Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot, Anna Jezierska
2011	J	`jnl`	A Spatial Regularization Approach for Vector Quantization. J. Math. Imaging Vis. Caroline Chaux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot
2011	J	`jnl`	A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. Medical Image Anal. Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu
2011	J	`jnl`	Advances in multirate filter bank structures and multiscale representations. Signal Process. Thierry Blu, Laurent Duval, Truong Q. Nguyen, Jean-Christophe Pesquet
2011	—	`conf`	An EM approach for Poisson-Gaussian noise modeling. EUSIPCO Anna Jezierska, Caroline Chaux, Jean-Christophe Pesquet, Hugues Talbot
2011	—	`conf`	Disparity map estimation under convex constraints using proximal algorithms. SiPS Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Caroline Chaux, Béatrice Pesquet-Popescu
2011	Misc	`conf`	Dual constrained TV-based regularization. ICASSP Camille Couprie, Hugues Talbot, Jean-Christophe Pesquet, Laurent Najman, Leo J. Grady
2011	—	`conf`	Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI. ISBI Alexandru Marin, Caroline Chaux, Jean-Christophe Pesquet, Philippe Ciuciu
2011	J	`jnl`	Noise Covariance Properties in Dual-Tree Wavelet Decompositions CoRR Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
2011	J	`jnl`	Non-separable lifting scheme with adaptive update step for still and stereo image coding. Signal Process. Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2011	J	`jnl`	Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. IEEE Trans. Image Process. Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2011	J	`jnl`	Proximal Algorithms for Multicomponent Image Recovery Problems. J. Math. Imaging Vis. Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2011	—	`ch.`	Proximal Splitting Methods in Signal Processing. Fixed-Point Algorithms for Inverse Problems in Science and Engineering Patrick L. Combettes, Jean-Christophe Pesquet
2011	Misc	`conf`	Proximal splitting methods for depth estimation. ICASSP Mireille El Gheche, Jean-Christophe Pesquet, Joumana Farah, Mounir Kaaniche, Béatrice Pesquet-Popescu
2011	J	`jnl`	Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration CoRR Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2010	Misc	`conf`	A hierarchical Bayesian model for frame representation. ICASSP Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
2010	J	`jnl`	A hierarchical Bayesian model for frame representation. IEEE Trans. Signal Process. Lotfi Chaâri, Jean-Christophe Pesquet, Jean-Yves Tourneret, Philippe Ciuciu, Amel Benazza-Benyahia
2010	B	`conf`	Alternating proximal algorithm for blind image recovery. ICIP Jérôme Bolte, Patrick L. Combettes, Jean-Christophe Pesquet
2010	B	`conf`	Image quantization under spatial smoothness constraints. ICIP Anna Jezierska, Caroline Chaux, Hugues Talbot, Jean-Christophe Pesquet
2010	B	`conf`	Proximal method for geometry and texture image decomposition. ICIP Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2010	—	`conf`	Proximal methods for image restoration using a class of non-tight frame representations. EUSIPCO Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2010	Misc	`conf`	Two-dimensional non separable adaptive lifting scheme for still and stereo image coding. ICASSP Mounir Kaaniche, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu
2009	J	`jnl`	A Convex Optimization Approach for Depth Estimation Under Illumination Variation. IEEE Trans. Image Process. Wided Miled, Jean-Christophe Pesquet, Michel Parent
2009	J	`jnl`	A SURE approach for digital signal/image deconvolution problems. IEEE Trans. Signal Process. Jean-Christophe Pesquet, Amel Benazza-Benyahia, Caroline Chaux
2009	Misc	`conf`	A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise. ICASSP Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2009	B	`conf`	Dense disparity map representations for stereo image coding. ICIP Mounir Kaaniche, Wided Miled, Béatrice Pesquet-Popescu, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2009	—	`conf`	Hybrid regularization for data restoration in the presence of Poisson noise. EUSIPCO Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2009	J	`jnl`	Nested Iterative Algorithms for Convex Constrained Image Recovery Problems. SIAM J. Imaging Sci. Caroline Chaux, Jean-Christophe Pesquet, Nelly Pustelnik
2009	J	`jnl`	On the uniform quantization of a class of sparse sources. IEEE Trans. Inf. Theory Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2009	J	`jnl`	Optimization of Synthesis Oversampled Complex Filter Banks CoRR Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2009	J	`jnl`	Optimization of synthesis oversampled complex filter banks. IEEE Trans. Signal Process. Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2009	Misc	`conf`	Split convex minimization algorithm for signal recovery. ICASSP Patrick L. Combettes, Jean-Christophe Pesquet
2009	J	`jnl`	Vector Lifting Schemes for Stereo Image Coding. IEEE Trans. Image Process. Mounir Kaaniche, Amel Benazza-Benyahia, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2009	B	`conf`	Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. ICIP Lotfi Chaâri, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Philippe Ciuciu
2008	J	`jnl`	A Nonlinear Stein-Based Estimator for Multichannel Image Denoising. IEEE Trans. Signal Process. Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2008	—	`conf`	A constrained forward-backward algorithm for image recovery problems. EUSIPCO Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2008	C	`conf`	A convex programming approach for color stereo matching. MMSP Wided Miled, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2008	—	`conf`	Autocalibrated regularized parallel mri reconstruction in the wavelet domain. ISBI Lotfi Chaâri, Jean-Christophe Pesquet, Amel Benazza-Benyahia, Philippe Ciuciu
2008	Misc	`conf`	Rate-distortion results for Generalized Gaussian distributions. ICASSP Aurélia Fraysse, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2008	—	`conf`	Two denoising SURE-LET methods for complex oversampled subband decompositions. EUSIPCO Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2007	—	`conf`	2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform. ICASSP (3) Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
2007	—	`conf`	A Compressed Sensing Approach to Frame-Based Multiple Description Coding. ICASSP (2) Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2007	J	`jnl`	A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery. J. Sel. Topics Signal Processing Patrick L. Combettes, Jean-Christophe Pesquet
2007	J	`jnl`	Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding. EURASIP J. Image Video Process. Amel Benazza-Benyahia, Jean-Christophe Pesquet, Jamel Hattay, Hela Masmoudi
2007	J	`jnl`	Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions. IEEE Trans. Signal Process. Eric Moreau, Jean-Christophe Pesquet, Nadège Thirion-Moreau
2007	—	`conf`	Lifting schemes for joint coding of stereoscopic pairs of satellite images). EUSIPCO Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2007	J	`jnl`	Noise Covariance Properties in Dual-Tree Wavelet Decompositions. IEEE Trans. Inf. Theory Caroline Chaux, Jean-Christophe Pesquet, Laurent Duval
2007	—	`conf`	Oversampled Inverse Complex Lapped Transform Optimization. ICASSP (1) Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2007	J	`jnl`	Proximal Thresholding Algorithm for Minimization over Orthonormal Bases. SIAM J. Optim. Patrick L. Combettes, Jean-Christophe Pesquet
2007	J	`jnl`	Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources. IEEE Trans. Signal Process. Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet
2007	—	`conf`	Robust Obstacle Detection Based on Dense Disparity Maps. EUROCAST Wided Miled, Jean-Christophe Pesquet, Michel Parent
2007	—	`conf`	Sparse signal recovery by iterative proximal thresholding. EUSIPCO Patrick L. Combettes, Jean-Christophe Pesquet
2006	—	`conf`	A Decomposition Method for Nonsmooth Convex Variational Signal Recovery. ICASSP (5) Heinz H. Bauschke, Patrick L. Combettes, Jean-Christophe Pesquet
2006	—	`conf`	A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition. ICASSP (3) Caroline Chaux, Laurent Duval, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2006	J	`jnl`	A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter. Signal Process. Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet
2006	—	`conf`	Disparity Map Estimation Using A Total Variation Bound. CRV Wided Miled, Jean-Christophe Pesquet
2006	J	`jnl`	Image analysis using a dual-tree M-band wavelet transform. IEEE Trans. Image Process. Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2006	—	`conf`	Iterative image deconvolution using overcomplete representations. EUSIPCO Caroline Chaux, Patrick L. Combettes, Jean-Christophe Pesquet, Valérie R. Wajs
2006	—	`conf`	Low Redundancy Oversampled Lapped Transforms and Application to 3D Seismic Data Filtering. ICASSP (2) Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2006	—	`conf`	Multichannel image deconvolution in the Wavelet Transform domain. EUSIPCO Amel Benazza-Benyahia, Jean-Christophe Pesquet
2006	—	`conf`	Wavelet-constrained regularization for disparity map estimation. EUSIPCO Wided Miled, Jean-Christophe Pesquet, Michel Parent
2005	—	`conf`	2D dual-tree M-band wavelet decomposition. ICASSP (4) Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2005	J	`jnl`	A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals. IEEE Trans. Signal Process. Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu
2005	—	`conf`	A non-separable 2D complex modulated lapped transform and its applications to seismic data filtering. EUSIPCO Jérôme Gauthier, Laurent Duval, Jean-Christophe Pesquet
2005	—	`conf`	An embedded coder for multispectral image compression based on vector lifting structures. ICECS Jamel Hattay, Amel Benazza-Benyahia, Jean-Christophe Pesquet
2005	J	`jnl`	Building robust wavelet estimators for multicomponent images using Stein's principle. IEEE Trans. Image Process. Amel Benazza-Benyahia, Jean-Christophe Pesquet
2005	—	`conf`	Comparison of redundant wavelet schemes for multiple description coding of video sequences. ICASSP (5) Teodora Petrisor, Christophe Tillier, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2005	—	`conf`	Perfect reconstruction in reduced redundancy wavelet-based multiple description coding of images. EUSIPCO Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2005	—	`conf`	Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics. ICASSP (3) Marc Castella, Saloua Rhioui, Eric Moreau, Jean-Christophe Pesquet
2005	—	`conf`	Wavelet-based multiple description coding of images with iterative convex optimization techniques. ICIP (3) Teodora Petrisor, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2004	—	`conf`	A quadratic MISO contrast function for blind equalization. ICASSP (2) Marc Castella, Eric Moreau, Jean-Christophe Pesquet
2004	—	`conf`	An Iterative Blind Source Separation Method for Convolutive Mixtures of Images. ICA Marc Castella, Jean-Christophe Pesquet
2004	—	`conf`	An extended sure approach for multicomponent image denoising. ICASSP (2) Amel Benazza-Benyahia, Jean-Christophe Pesquet
2004	—	`conf`	An interscale multivariate map estimation of multispectral images. EUSIPCO Amel Benazza-Benyahia, Jean-Christophe Pesquet
2004	—	`conf`	Blind mimo detection of convolutively mixed CPM sources. EUSIPCO Marc Castella, Pascal Bianchi, Antoine Chevreuil, Jean-Christophe Pesquet
2004	—	`conf`	Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example]. ICASSP (2) Patrick L. Combettes, Jean-Christophe Pesquet
2004	B	`conf`	Estimating first-order finite-difference information in image restoration problems. ICIP Patrick L. Combettes, Jean-Christophe Pesquet
2004	—	`conf`	Hilbert pairs of M-band orthonormal wavelet bases. EUSIPCO Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet
2004	J	`jnl`	Image restoration subject to a total variation constraint. IEEE Trans. Image Process. Patrick L. Combettes, Jean-Christophe Pesquet
2004	C	`conf`	Redundant multiresolution analysis for multiple description video coding. MMSP Teodora Petrisor, Christophe Tillier, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2004	J	`jnl`	Wavelet-Constrained Image Restoration. Int. J. Wavelets Multiresolution Inf. Process. Patrick L. Combettes, Jean-Christophe Pesquet
2003	J	`jnl`	A nonlinear diffusion-based three-band filter bank. IEEE Signal Process. Lett. Amel Benazza-Benyahia, Jean-Christophe Pesquet, Hamid Krim
2003	C	`conf`	Adapted vector-lifting schemes for multiband textured image coding. IGARSS Amel Benazza-Benyahia, Jean-Christophe Pesquet, M. H. Gharbia
2003	—	`conf`	Image deconvolution with total variation bounds. ISSPA (1) Patrick L. Combettes, Jean-Christophe Pesquet
2003	—	`conf`	Total variation information in image recovery. ICIP (3) Patrick L. Combettes, Jean-Christophe Pesquet
2003	—	`conf`	Wavelet estimation of cyclospectra. ICASSP (6) Sami Touati, Jean-Christophe Pesquet
2002	—	`conf`	A block-based predictive lossless cod for quincunx multispectral images. EUSIPCO Amel Benazza-Benyahia, Jean-Christophe Pesquet
2002	Misc	`conf`	A new interband multiwavelet decomposition for exact coding of multicomponent images. ICASSP Amel Benazza-Benyahia, Jean-Christophe Pesquet, Noura Azzabou
2002	J	`jnl`	A unifying framework for lossless and progressive image coding. Pattern Recognit. Amel Benazza-Benyahia, Jean-Christophe Pesquet
2002	J	`jnl`	Long-range dependence and heavy-tail modeling for teletraffic data. IEEE Signal Process. Mag. Olivier Cappé, Eric Moulines, Jean-Christophe Pesquet, Athina P. Petropulu, Xueshi Yang
2002	—	`conf`	New contrasts for blind separation of non iid sources in the convolutive case. EUSIPCO Marc Castella, Jean-Christophe Pesquet, Athina P. Petropulu
2002	Misc	`conf`	Performance analysis of blind signal separation methods based on asymmetric contrast functions. ICASSP Jean-Christophe Pesquet, Eric Moreau, Nadège Thirion-Moreau
2002	J	`jnl`	Some Results on the Wavelet Packet Decomposition of Nonstationary Processes. EURASIP J. Adv. Signal Process. Sami Touati, Jean-Christophe Pesquet
2002	J	`jnl`	Synthesis of bidimensional alpha-stable models with long-range dependence. Signal Process. Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2002	J	`jnl`	Vector-lifting schemes for lossless coding and progressive archival of multispectral images. IEEE Trans. Geosci. Remote. Sens. Amel Benazza-Benyahia, Jean-Christophe Pesquet, Mohamed Hamdi
2002	—	`conf`	Wavelet-thresholding for bispectrum estimation. EUSIPCO Sami Touati, Jean-Christophe Pesquet
2001	J	`jnl`	Bayesian wavelet denoising: Besov priors and non-Gaussian noises. Signal Process. David Leporini, Jean-Christophe Pesquet
2001	J	`jnl`	Cumulant-based independence measures for linear mixtures. IEEE Trans. Inf. Theory Jean-Christophe Pesquet, Eric Moreau
2001	Misc	`conf`	Estimating long-range dependence in impulsive traffic flows. ICASSP Xueshi Yang, Athina P. Petropulu, Jean-Christophe Pesquet
2001	Misc	`conf`	Frequency-domain contrast functions for separation of convolutive mixtures. ICASSP Jean-Christophe Pesquet, Binning Chen, Athina P. Petropulu
2001	—	`conf`	Joint singular value decomposition - a new tool for separable representation of images. ICIP (2) Béatrice Pesquet-Popescu, Jean-Christophe Pesquet, Athina P. Petropulu
2001	Misc	`conf`	Lossless coding for progressive archival of multispectral images. ICASSP Amel Benazza-Benyahia, Jean-Christophe Pesquet, Mohamed Hamdi
2000	J	`jnl`	Motion estimation in the presence of illumination variations. Signal Process. Image Commun. Frances Jane Hampson, Jean-Christophe Pesquet
2000	Misc	`conf`	Multiplivative matching pursuit. ICASSP Amina Serir, Jean-Christophe Pesquet
2000	—	`conf`	Nonlinear bank filters adapted for progressive and exact image reconstruction. EUSIPCO Amel Benazza-Benyahia, Jean-Christophe Pesquet, A. Amara
2000	J	`jnl`	Power-law shot noise and its relationship to long-memory α-stable processes. IEEE Trans. Signal Process. Athina P. Petropulu, Jean-Christophe Pesquet, Xueshi Yang
1999	—	`conf`	Bidimensional alpha-stable models with long-range dependence. NSIP Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
1999	J	`jnl`	High-Order Wavelet Packets and Cumulant Field Analysis. IEEE Trans. Inf. Theory David Leporini, Jean-Christophe Pesquet
1999	—	`conf`	Nonlinear methods for the identification of 2D models with long-range dependence. NSIP Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
1999	—	`conf`	Progressive and lossless image coding using optimized nonlinear subband decompositions. NSIP Amel Benazza-Benyahia, Jean-Christophe Pesquet
1998	J	`jnl`	Convex Multiresolution Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Patrick L. Combettes, Jean-Christophe Pesquet
1998	J	`jnl`	M-band nonlinear subband decompositions with perfect reconstruction. IEEE Trans. Image Process. Frances Jane Hampson, Jean-Christophe Pesquet
1998	—	`conf`	Nonlinear Multiresolution Image Analysis via Convex Projections. ICIP (2) Patrick L. Combettes, Jean-Christophe Pesquet
1998	—	`conf`	Nonlinear frame-like decompositions. EUSIPCO B. Pouye, Amel Benazza-Benyahia, Ilya Pollak, Jean-Christophe Pesquet, Hamid Krim
1998	Misc	`conf`	Parsimony and wavelet methods for denoising. ICASSP Hamid Krim, Jean-Christophe Pesquet, Irvin C. Schick
1998	—	`conf`	Wavelet thresholding for a wide class of noise distributions. EUSIPCO David Leporini, Jean-Christophe Pesquet
1997	J	`jnl`	Generalized contrasts for multichannel blind deconvolution of linear systems. IEEE Signal Process. Lett. Eric Moreau, Jean-Christophe Pesquet
1997	Misc	`conf`	Independence/decorrelation measures with applications to optimized orthonormal representations. ICASSP Eric Moreau, Jean-Christophe Pesquet
1996	Misc	`conf`	A nonlinear subband decomposition with perfect reconstruction. ICASSP Frances Jane Hampson, Jean-Christophe Pesquet
1996	Misc	`conf`	Bayesian approach to best basis selection. ICASSP Jean-Christophe Pesquet, Hamid Krim, David Leporini, E. Hamman
1996	Misc	`conf`	Best basis segmentation of ECG signals using novel optimality criteria. ICASSP Dana H. Brooks, Hamid Krim, Jean-Christophe Pesquet, Robert S. MacLeod
1996	—	`conf`	Double tree decomposition of lung sounds. EUSIPCO E. Ademovic, Jean-Christophe Pesquet, G. Charbonneau
1996	—	`conf`	Pel-recursive motion estimation in the presence of illumination variations. ICIP (1) Frances Jane Hampson, R. E. H. Franich, Jean-Christophe Pesquet, Jan Biemond
1996	J	`jnl`	Projection-based rank reduction algorithms for multichannel modelling and image compression. Signal Process. Ioannis Dologlou, Jean-Christophe Pesquet, J. Skowronski
1996	J	`jnl`	Time-invariant orthonormal wavelet representations. IEEE Trans. Signal Process. Jean-Christophe Pesquet, Hamid Krim, Hervé Carfantan
1996	J	`jnl`	Wavelet synthesis by alternating projections. IEEE Trans. Signal Process. Jean-Christophe Pesquet, Patrick L. Combettes
1995	B	`conf`	A grey scale morphological approach for displaced frame difference coding. ICIP Frances Jane Hampson, Jean-Christophe Pesquet
1995	Misc	`conf`	M-band wavelet decomposition of second order random processes. ICASSP Jean-Christophe Pesquet
1995	J	`jnl`	Multiresolution analysis of a class of nonstationary processes. IEEE Trans. Inf. Theory Hamid Krim, Jean-Christophe Pesquet
1993	J	`jnl`	Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems. Signal Process. Jean-Christophe Pesquet, Odile Macchi, Georgios Tziritas
1993	—	`conf`	Tracking nonstationarities with a wavelet transform. ICASSP (1) Hamid Krim, Jean-Christophe Pesquet, K. Drouiche
1992	Misc	`conf`	Orthonormal wavelets for finite sequences. ICASSP Jean-Christophe Pesquet
1992	J	`jnl`	Predictive coding of images using an adaptive intra-frame predictor and motion compensation. Signal Process. Image Commun. Georgios Tziritas, Jean-Christophe Pesquet
1990	Misc	`conf`	Modified LMS algorithms for robust ADPCM. ICASSP Jean-Christophe Pesquet, Georgios Tziritas, Odile Macchi
1989	Misc	`conf`	A hybrid image coder: adaptive intra-interframe prediction using motion compensation. ICASSP George Tziritas, Jean-Christophe Pesquet