Jean-Christophe Pesquet

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 124

Top Venues

Publications

Simona Ioana Juvina, Ana Antonia Neacsu, Jérôme Rony, Jean-Christophe Pesquet, Corneliu Burileanu, Ismail Ben Ayed
Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. Trans. Mach. Learn. Res. 2024 (2024)
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. CoRR (2024)
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri, Jean-Christophe Pesquet, Ismail Ben Ayed
Transductive Zero-Shot and Few-Shot CLIP. CoRR (2024)
Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu
EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
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. J. Math. Imaging Vis. 66 (4) (2024)
Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet
An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. Signal Process. 218 (2024)
Younes Belkouchi, Jean-Christophe Pesquet, Audrey Repetti, Hugues Talbot
Learning truly monotone operators with applications to nonlinear inverse problems. CoRR (2024)
Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Aggregated f-average Neural Network for Interpretable Ensembling. CoRR (2023)
Cécile de Valle, Ezequiel Centofanti, Émilie Chouzenoux, Jean-Christophe Pesquet
Stability of Unfolded Forward-Backward to Perturbations in Observed Data. EUSIPCO (2023)
Alessandro Benfenati, Émilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi
Majorization-Minimization for sparse SVMs. CoRR (2023)
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. IEEE Trans. Ind. Electron. 70 (1) (2023)
Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
Proximal Splitting Adversarial Attack for Semantic Segmentation. CVPR (2023)
Émilie Chouzenoux, Andrés Contreras, Jean-Christophe Pesquet, Marion Savanier
Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. SIAM J. Imaging Sci. 16 (1) (2023)
Patrick L. Combettes, Jean-Christophe Pesquet, Audrey Repetti
A Variational Inequality Model for Learning Neural Networks. ICASSP (2023)
Yunshi Huang, Émilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet
Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. 360 (16) (2023)
Yunshi Huang, Émilie Chouzenoux, Jean-Christophe Pesquet
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Trans. Image Process. 32 (2023)
Marion Savanier, Émilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density. IEEE Trans. Computational Imaging 9 (2023)
Émilie Chouzenoux, Ségolène Martin, Jean-Christophe Pesquet
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. J. Math. Imaging Vis. 65 (2) (2023)
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. CoRR (2023)
Clément Cosserat, Ben Gabrielson, Émilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali
A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP (2023)
Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Gabriele Scrivanti
A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. CoRR (2022)
Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet
Dynamic Neural Network for Lossy-to-Lossless Image Coding. IEEE Trans. Image Process. 31 (2022)
Ana Neacsu, Razvan Ciubotaru, Jean-Christophe Pesquet, Corneliu Burileanu
Design of Robust Complex-Valued Feed-Forward Neural Networks. EUSIPCO (2022)
Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
A CNC approach for Directional Total Variation. EUSIPCO (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS (2022)
Claire Rossignol, Florent Sureau, Émilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet
A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. ICIP (2022)
Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet
A CNC approach for Directional Total Variation. CoRR (2022)
Kavya Gupta, Fateh Kaakai, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
Safe Design of Stable Neural Networks for Fault Detection in Small UAVs. SAFECOMP Workshops (2022)
Marion Savanier, Émilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density. CoRR (2022)
Nora Ouzir, Jean-Christophe Pesquet, Frédéric Pascal
A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. ICASSP (2022)
Marion Savanier, Émilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell
Unmatched Preconditioning of the Proximal Gradient Algorithm. IEEE Signal Process. Lett. 29 (2022)
Maissa Sghaier, Émilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller
A Novel Task-Based reconstruction approach for digital breast tomosynthesis. Medical Image Anal. 77 (2022)
Mewe-Hezoudah Kahanam, Laurent Le Brusquet, Ségolène Martin, Jean-Christophe Pesquet
A Non-Convex Proximal Approach for Centroid-Based Classification. ICASSP (2022)
Jérôme Rony, Jean-Christophe Pesquet, Ismail Ben Ayed
Proximal Splitting Adversarial Attacks for Semantic Segmentation. CoRR (2022)
Wen Tang, Émilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Deep transform and metric learning network: Wedding deep dictionary learning and neural network. Neurocomputing 509 (2022)
Ségolène Martin, Malik Boudiaf, Émilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR (2022)
Audrey Repetti, Matthieu Terris, Yves Wiaux, Jean-Christophe Pesquet
Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. EUSIPCO (2022)
Yunshi Huang, Émilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR (2022)
Feriel Abboud, Marin Stamm, Émilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot
Distributed algorithms for scalable proximity operator computation and application to video denoising. Digit. Signal Process. 128 (2022)
Vlad Vasilescu, Ana Neacsu, Émilie Chouzenoux, Jean-Christophe Pesquet, Corneliu Burileanu
A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. ISBI (2021)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
Sparse signal reconstruction for nonlinear models via piecewise rational optimization. Signal Process. 179 (2021)
Wen Tang, Émilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Deep Transform and Metric Learning Networks. CoRR (2021)
Sagar Verma, Jean-Christophe Pesquet
Sparsifying Networks via Subdifferential Inclusion. ICML (2021)
Wen Tang, Émilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Deep Transform and Metric Learning Networks. ICASSP (2021)
Ségolène Martin, Émilie Chouzenoux, Jean-Christophe Pesquet
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. EUSIPCO (2021)
Jean-Christophe Pesquet, Audrey Repetti, Matthieu Terris, Yves Wiaux
Learning Maximally Monotone Operators for Image Recovery. SIAM J. Imaging Sci. 14 (3) (2021)
Kavya Gupta, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu, Fateh Kaakai, Fragkiskos D. Malliaros
An Adversarial Attacker for Neural Networks in Regression Problems. AISafety@IJCAI (2021)
Yunshi Huang, Émilie Chouzenoux, Jean-Christophe Pesquet
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. CoRR (2021)
Patrick L. Combettes, Jean-Christophe Pesquet
Fixed Point Strategies in Data Science. IEEE Trans. Signal Process. 69 (2021)
Mouna Gharbi, Émilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval
GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. EUSIPCO (2021)
Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
Enhanced Convergent PNP Algorithms For Image Restoration. ICIP (2021)
Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet, Gabriel Dauphin
A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. ICIP (2021)
Kavya Gupta, Béatrice Pesquet-Popescu, Fateh Kaakai, Jean-Christophe Pesquet
A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data. ICASSP (2021)
Mathilde Galinier, Marco Prato, Émilie Chouzenoux, Jean-Christophe Pesquet
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. MLSP (2020)
Sagar Verma, Nicolas Henwood, Marc Castella, Al Kassem Jebai, Jean-Christophe Pesquet
Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics. IECON (2020)
Marion Savanier, Émilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset
Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. EUSIPCO (2020)
Matthieu Terris, Audrey Repetti, Jean-Christophe Pesquet, Yves Wiaux
Building Firmly Nonexpansive Convolutional Neural Networks. ICASSP (2020)
Ana Neacsu, Kavya Gupta, Jean-Christophe Pesquet, Corneliu Burileanu
Signal Denoising Using a New Class of Robust Neural Networks. EUSIPCO (2020)
Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet
A Proximal Interior Point Algorithm with Applications to Image Processing. J. Math. Imaging Vis. 62 (6-7) (2020)
Patrick L. Combettes, Jean-Christophe Pesquet
Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators. SIAM J. Math. Data Sci. 2 (2) (2020)
Yosra Marnissi, Émilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet
Majorize-Minimize Adapted Metropolis-Hastings Algorithm. IEEE Trans. Signal Process. 68 (2020)
Monacér da Silva, Jean Charléty, Aurélia Fraysse, Jean-Christophe Pesquet
A Small-Scale Network for Seismic Patterns Classification. EUSIPCO (2020)
Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet
Modeling Electrical Motor Dynamics using Encoder-Decoder with Recurrent Skip Connection. CoRR (2020)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
A Moment-Based Approach for Guaranteed Tensor Decomposition. ICASSP (2020)
Maissa Sghaier, Émilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller
A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. ISBI (2020)
Ana Neacsu, Jean-Christophe Pesquet, Corneliu Burileanu
Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. ICASSP (2020)
Afef Cherni, Émilie Chouzenoux, Laurent Duval, Jean-Christophe Pesquet
SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry. IEEE Trans. Signal Process. 68 (2020)
Wen Tang, Émilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. CoRR (2020)
Tassnim Dardouri, Mounir Kaaniche, Amel Benazza-Benyahia, Jean-Christophe Pesquet
Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding. ICIP (2020)
Sagar Verma, Nicolas Henwood, Marc Castella, François Malrait, Jean-Christophe Pesquet
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. AAAI (2020)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
Sparse Signal Reconstruction for Nonlinear Models via Piecewise Rational Optimization. CoRR (2020)
Alessandro Benfenati, Émilie Chouzenoux, Jean-Christophe Pesquet
Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Process. 169 (2020)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
Globally Optimizing Owing to Tensor Decomposition. EUSIPCO (2020)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach. MLSP (2020)
Arthur Marmin, Anna Jezierska, Marc Castella, Jean-Christophe Pesquet
Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise. IEEE Signal Process. Lett. 27 (2020)
Marie-Caroline Corbineau, Denis Kouamé, Émilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. IEEE Signal Process. Lett. 26 (10) (2019)
Loubna El Gueddari, Philippe Ciuciu, Émilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet
Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. ISBI (2019)
Émilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet
Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. J. Math. Imaging Vis. 61 (7) (2019)
Feriel Abboud, Émilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli
An alternating proximal approach for blind video deconvolution. Signal Process. Image Commun. 70 (2019)
Patrick L. Combettes, Jean-Christophe Pesquet
Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence. Math. Program. 174 (1-2) (2019)
Luis M. Briceño-Arias, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet
A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. Comput. Optim. Appl. 72 (3) (2019)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
Detecting the Rank of a Symmetric Tensor. EUSIPCO (2019)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet
How to Globally Solve Non-convex Optimization Problems Involving an Approximate ℓ0 Penalization. ICASSP (2019)
Marc Castella, Jean-Christophe Pesquet, Arthur Marmin
Penalization. IEEE Trans. Signal Process. 67 (6) (2019)
Marie-Caroline Corbineau, Carla Bertocchi, Émilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. ICIP (2019)
Yosra Marnissi, D. Abboud, Émilie Chouzenoux, Jean-Christophe Pesquet, M. El-Badaoui, Amel Benazza-Benyahia
A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. EUSIPCO (2019)
Marie-Caroline Corbineau, Denis Kouamé, Émilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. CoRR (2019)
Maissa Sghaier, Émilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller
A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. ISBI (2019)
Viacheslav Dudar, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR (2018)
Feriel Abboud, Émilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot
A Multicore Convex Optimization Algorithm with Applications to Video Restoration. ICIP (2018)
Marie-Caroline Corbineau, Émilie Chouzenoux, Jean-Christophe Pesquet
Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. SAM (2018)
Anna Jezierska, Hugues Talbot, Jean-Christophe Pesquet
Spatially variant PSF modeling in confocal macroscopy. ISBI (2018)
Yosra Marnissi, Émilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet
An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. Entropy 20 (2) (2018)
Alessandro Benfenati, Émilie Chouzenoux, Jean-Christophe Pesquet
A Nonconvex Variational Approach for Robust Graphical Lasso. ICASSP (2018)
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory 64 (2) (2018)
Marie-Caroline Corbineau, Émilie Chouzenoux, Jean-Christophe Pesquet
PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. ICASSP (2018)
Aurélie Pirayre, Camille Couprie, Laurent Duval, Jean-Christophe Pesquet
BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Carla Bertocchi, Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato
Deep Unfolding of a Proximal Interior Point Method for Image Restoration. CoRR (2018)
Patrick L. Combettes, Jean-Christophe Pesquet
Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms. EUSIPCO (2018)
Arthur Marmin, Marc Castella, Jean-Christophe Pesquet, Laurent Duval
Signal Reconstruction from Sub-sampled and Nonlinearly Distorted Observations. EUSIPCO (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jean-Christophe Pesquet