Emilie Chouzenoux

Publications :

• Article dans une revue - 91 documents
• • Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConFCluster: Deep Convolutional Transform Learning based Multiview Clustering Fusion Framework, 2024-11. (https://inria.hal.science/hal-04635484v1)
  • Samy Ammari, Arnaud Quillent, Víctor Elvira, François Bidault, Gabriel Garcia, Dana Hartl, Corinne Balleyguier, Nathalie Lassau, Émilie Chouzenoux. Using Machine Learning on MRI Radiomics to Diagnose Parotid Tumours Before Comparing Performance with Radiologists: A Pilot Study, 2024-10-10. (https://hal.science/hal-04734195v1)
  • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization, 2024-09-02. (https://hal.science/hal-04711649v1)
  • 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)
  • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. On variational inference and maximum likelihood estimation with the $ \lambda $-exponential family, 2024. (https://inria.hal.science/hal-04616759v1)
  • 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)
  • Emilie Chouzenoux, Víctor Elvira. Sparse Graphical Linear Dynamical Systems, 2024. (https://inria.hal.science/hal-04358490v2)
  • 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)
  • Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux, Víctor Elvira. Deep State-Space Model for Predicting Cryptocurrency Price, 2023-11-21. (https://inria.hal.science/hal-04358461v1)
  • Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino. Gradient-based adaptive importance samplers, 2023-09. (https://inria.hal.science/hal-04165344v1)
  • 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)
  • Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar. Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction, 2023-05. (https://inria.hal.science/hal-04089977v1)
  • 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)
  • Mathieu Chalvidal, Emilie Chouzenoux, Jean-Baptiste Fest, Claire Lefort. Block delayed Majorize-Minimize subspace algorithm for large scale image restoration, 2023-03-09. (https://inria.hal.science/hal-04281658v4)
  • Paul Zheng, Emilie Chouzenoux, Laurent Duval. PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes, 2023-03-01. (https://hal.science/hal-03924136v1)
  • Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConDFFuse: Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework, 2023. (https://inria.hal.science/hal-04089994v1)
  • Emilie Chouzenoux, Jean-Baptiste Fest. Convergence Analysis of Block Majorize-Minimize Subspace Approach, 2023. (https://inria.hal.science/hal-04202728v1)
  • Cédric Delmon, Erwan Ferrandon, Emilie Chouzenoux, Audrey Prorot, Sophie Alain, Claire Lefort. A computational two-photon fluorescence approach for revealing label-free the 3D image of viruses and bacteria, 2023. (https://hal.science/hal-03925176v1)
  • 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)
  • Emilie Chouzenoux, Jean-Baptiste Fest. SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm, 2022-11. (https://hal.science/hal-03793623v1)
  • 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)
  • Víctor Elvira, Emilie Chouzenoux. Graphical Inference in Linear-Gaussian State-Space Models, 2022-09. (https://hal.science/hal-03783425v1)
  • 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)
  • Alexandre Bône, Samy Ammari, Yves Menu, Corinne Balleyguier, Eric Moulton, Emilie Chouzenoux, Andreas Volk, Gabriel C.T.E. Garcia, François Nicolas, Philippe Robert, Marc-Michel Rohé, Nathalie Lassau. From dose reduction to contrast maximization: can deep learning amplify the impact of contrast media on brain MR image quality? A reader study, 2022-08. (https://inria.hal.science/hal-03535186v1)
  • Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar. DeepVir, Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning. Application to COVID19., 2022-05. (https://hal.science/hal-02946338v1)
  • Divyanshu Talwar, Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar. Binary Matrix Completion on Graphs: Application to Collaborative Filtering, 2022-04. (https://hal.science/hal-03500279v1)
  • 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)
  • Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar. Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring, 2022-03. (https://hal.science/hal-03463403v1)
  • 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)
  • Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell. Unmatched Preconditioning of the Proximal Gradient Algorithm, 2022. (https://hal.science/hal-03654146v1)
  • Víctor Elvira, Emilie Chouzenoux. Optimized Population Monte Carlo, 2022. (https://hal.science/hal-03136318v3)
  • Yingping Li, Samy Ammari, Litti Lawrance, Arnaud Quillent, Tarek Assi, Nathalie Lassau, Emilie Chouzenoux. Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion, 2022. (https://hal.science/hal-03647258v1)
  • 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)
  • Samy Ammari, Raoul Sallé de Chou, Corinne Balleyguier, Emilie Chouzenoux, Mehdi Touat, Arnaud Quillent, Sarah Dumont, Sophie Bockel, Gabriel C T E Garcia, Mickael Elhaik, Bidault Francois, Valentin Borget, Nathalie Lassau, Mohamed Khettab, Tarek Assi. A Predictive Clinical-Radiomics Nomogram for Survival Prediction of Glioblastoma Using MRI, 2021-11-04. (https://hal.sorbonne-universite.fr/hal-03424507v1)
  • Samy Ammari, Alexandre Bône, Corinne Balleyguier, Eric Moulton, Émilie Chouzenoux, Andreas Volk, Yves Menu, François Bidault, François Nicolas, Philippe Robert, Marc-Michel Rohé, Nathalie Lassau. Can deep learning replace gadolinium in neuro-oncology?, 2021-07-29. (https://inria.hal.science/hal-03527628v1)
  • Yingping Li, Samy Ammari, Corinne Balleyguier, Nathalie Lassau, Emilie Chouzenoux. Impact of Preprocessing and Harmonization Methods on the Removal of Scanner Effects in Brain MRI Radiomic Features, 2021-06-15. (https://hal.science/hal-03261617v1)
  • Claire Lefort, Mathieu Chalvidal, Alexis Parenté, Véronique Blanquet, Henri Massias, Laetitia Magnol, Emilie Chouzenoux. FAMOUS: a fast instrumental and computational pipeline for multiphoton microscopy applied to 3D imaging of muscle ultrastructure, 2021-04-30. (https://hal.science/hal-03225997v2)
  • Aanchal Mongia, Sanjay Kr Saha, Emilie Chouzenoux, Angshul Majumdar. A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials, 2021-04-27. (https://hal.science/hal-02888874v1)
  • Loubna El Gueddari, Chaithya Giliyar Radhakrishna, Emilie Chouzenoux, Philippe Ciuciu. Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization, 2021-03. (https://inria.hal.science/hal-03366158v1)
  • Tirza Routtenberg, Alberto Carini, Emilie Chouzenoux, Piya Pal, José C. M. Bermudez, Lucio Marcenaro. Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest, 2021-02. (https://hal.science/hal-03161830v1)
  • Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems, 2021. (https://hal.science/hal-03066187v1)
  • Samy Ammari, Raoul Sallé de Chou, Tarek Assi, Mehdi Touat, Emilie Chouzenoux, Arnaud Quillent, Elaine Limkin, Laurent Dercle, Joya Hadchiti, Mickael Elhaik, Salma Moalla, Mohamed Khettab, Corinne Balleyguier, Nathalie Lassau, Sarah Dumont, Cristina Smolenschi. Machine-Learning-Based Radiomics MRI Model for Survival Prediction of Recurrent Glioblastomas Treated with Bevacizumab, 2021. (https://hal.sorbonne-universite.fr/hal-03292019v1)
  • Shalini Sharma, Víctor Elvira, Emilie Chouzenoux, Angshul Majumdar. Recurrent Dictionary Learning for State-Space Models with an Application in Stock Forecasting, 2021. (https://hal.science/hal-03184841v1)
  • 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)
  • 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)
  • Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar. Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion, 2021. (https://hal.science/hal-03465955v1)
  • Nathalie Lassau, Imad Bousaid, Emilie Chouzenoux, Antoine Verdon, Corinne Balleyguier, François Bidault, Elie Mousseaux, Sana Harguem-Zayani, Loic Gaillandre, Zoubir Bensalah, Isabelle Doutriaux-Dumoulin, Michèle Monroc, Audrey Haquin, Luc Ceugnart, Florence Bachelle, Mathilde Charlot, Isabelle Thomassin-Naggara, Tiphaine Fourquet, Héloise Dapvril, Joseph Orabona, Foucauld Chamming'S, Mickael El Haik, Jules Zhang-Yin, Marc-Samir Guillot, Mickaël Ohana, Thomas Caramella, Yann Diascorn, Jean-Yves Airaud, Philippe Cuingnet, Umit Gencer, Littisha Lawrance, Alain Luciani, Anne Cotten, Jean-François Meder. Three artificial intelligence data challenges based on CT and ultrasound, 2021. (https://hal.science/hal-03797851v1)
  • Yunshi Huang, Emilie Chouzenoux, Víctor Elvira. Probabilistic modeling and inference for sequential space-varying blur identification, 2021. (https://hal.science/hal-03225842v1)
  • Samy Ammari, Stéphanie Pitre-Champagnat, Laurent Dercle, Emilie Chouzenoux, Salma Moalla, Sylvain Reuze, Hugues Talbot, Tite Mokoyoko, Joya Hadchiti, Sebastien Diffetocq, Andreas Volk, Mickeal El Haik, Sara Lakiss, Corinne Balleyguier, Nathalie Lassau, Francois Bidault. Influence of magnetic field strength on magnetic resonance imaging radiomics features in brain imaging, an in vitro and in vivo study, 2021. (https://hal.science/hal-03117688v1)
  • 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)
  • Shalini Sharma, Angshul Majumdar, Víctor Elvira, Emilie Chouzenoux. Blind Kalman Filtering for Short-term Load Forecasting, 2020-11. (https://hal.science/hal-02921322v1)
  • Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. Deeply Transformed Subspace Clustering, 2020-09. (https://hal.science/hal-03066160v1)
  • 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)
  • Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet. A Proximal Interior Point Algorithm with Applications to Image Processing, 2020. (https://hal.science/hal-02120005v2)
  • Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux. Transformed Subspace Clustering, 2020. (https://hal.science/hal-03066170v1)
  • Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConFuse: a deep convolutional transform-based unsupervised fusion framework, 2020. (https://hal.science/hal-02888888v1)
  • 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)
  • Nathalie Lassau, Imad Bousaid, Emilie Chouzenoux, Jean-Philippe Lamarque, Benoit Charmettant, Michael Azoulay, François Cotton, Antoine Khalil, Olivier Lucidarme, Frédéric Pigneur, Y. Benaceur, Alexandre Sadate, Mathieu Lederlin, François Laurent, Guillaume Chassagnon, Olivier Ernst, Gilbert Ferreti, Yann Diascorn, Pierre Yves Brillet, Maud Crézé, Lucie Cassagnes, Caroline Caramella, A. Loubet, Axel Dallongeville, N. Abassebay, Mickael Ohana, Nathan Banaste, Mehdi Cadi, Julien Behr, L. Boussel, Laure Fournier, Marc Zins, Jean-Paul Beregi, Alain Luciani, Anne Cotten, Jean-François Meder. Three artificial intelligence data challenges based on CT and MRI, 2020. (https://hal.science/hal-02921345v1)
  • Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar. Deep latent factor model for collaborative filtering, 2020. (https://hal.science/hal-02373934v1)
  • 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)
  • Ahmed Mekki, Laurent Dercle, Philip Lichtenstein, Ghaida Nasser, Aurélien Marabelle, Stéphane Champiat, Emilie Chouzenoux, Corinne Balleyguier, Samy Ammari. Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy, 2019-09-01. (https://hal.science/hal-02269518v1)
  • 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)
  • Ömer Deniz Akyildiz, Emilie Chouzenoux, Víctor Elvira, Joaquín Míguez. A probabilistic incremental proximal gradient method, 2019-07. (https://hal.science/hal-01946642v1)
  • 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)
  • 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)
  • 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)
  • Afef Cherni, Emilie Chouzenoux, Marc-André Delsuc. PALMA, an improved algorithm for DOSY signal processing, 2017. (https://hal.science/hal-01613209v1)
  • Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti. A block coordinate variable metric forward-backward algorithm, 2016-02. (https://hal.science/hal-00945918v1)
  • Emilie Chouzenoux, Jean-Christophe Pesquet. Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm, 2016. (https://hal.science/hal-01373641v1)
  • 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)
  • 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)
  • 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)
  • Emilie Chouzenoux, Maxime Legendre, Saïd Moussaoui, Jérôme Idier. Fast constrained least squares spectral unmixing using primal-dual interior point optimization, 2014-01. (https://hal.science/hal-00828013v1)
  • 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)
  • Emilie Chouzenoux, Saïd Moussaoui, Maxime Legendre, Jérôme Idier. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale, 2013. (https://hal.science/hal-00808278v1)
  • 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)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier. Majorize-minimize linesearch for inversion methods involving barrier function optimization, 2012-05-15. (https://hal.science/hal-00697876v1)
  • Emilie Chouzenoux, Jérôme Idier, Saïd Moussaoui. A majorize-minimize strategy for subspace optimization applied to image restoration, 2011. (https://hal.science/hal-00626118v1)
  • Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui. OPTIMED : Optimisation itérative pour la résolution de problèmes inverses de grande taille, 2011. (https://hal.science/hal-00733443v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette. Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra, 2010. (https://hal.science/hal-00555936v1)
• Communication dans un congrès - 105 documents
• • 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)
  • 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)
  • Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Víctor Elvira. Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization, 2024-05-02. (https://hal.science/hal-04506761v1)
  • Emilie Chouzenoux, Víctor Elvira. Graphical inference in non-Markovian linear-Gaussian state-space models, 2024-04-14. (https://inria.hal.science/hal-04417208v1)
  • 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)
  • Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux. A new non-convex framework to improve asymptotical knowledge on generic stochastic gradient descent, 2023-09-17. (https://inria.hal.science/hal-04165342v1)
  • 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)
  • Paul Zheng, Emilie Chouzenoux, Laurent Duval. Démélange, déconvolution et débruitage conjoints d’un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS), 2023-08-28. (https://hal.science/hal-04153328v1)
  • Emilie Chouzenoux, Víctor Elvira. GRAPHIT: Iterative reweighted l1 algorithm for sparse graph inference in state-space models, 2023-06-04. (https://inria.hal.science/hal-04094496v1)
  • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. Adaptive simulated annealing through alternating Renyi divergence minimization, 2023-06-04. (https://inria.hal.science/hal-04094489v1)
  • 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)
  • Arnaud Quillent, Samy Ammari, Emilie Chouzenoux, Víctor Elvira, Nathalie Lassau. Machine-learning based guided diagnosis of parotid tumours from MRI, 2023-04-18. (https://inria.hal.science/hal-04407914v1)
  • Víctor Elvira, Emilie Chouzenoux, Jordi Cerda, Gustau Camps-Valls. Graphs in State-Space Models for Granger Causality in Climate Science, 2023-04-17. (https://inria.hal.science/hal-04165347v1)
  • 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)
  • Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification, 2022-10-16. (https://hal.science/hal-03723462v1)
  • 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)
  • Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. Deep Convolutional K-Means Clustering, 2022-10-16. (https://hal.science/hal-03723459v1)
  • Gabriele Scrivanti, Émilie Chouzenoux, Jean-Christophe Pesquet. A CNC approach for Directional Total Variation, 2022-08-29. (https://hal.science/hal-03692840v2)
  • 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)
  • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. Proximal-based adaptive simulated annealing for global optimization, 2022-05-07. (https://hal.science/hal-03740537v1)
  • Claire Lefort, Erwan Ferrandon, Émilie Chouzenoux, Cecile Mclaughlin, Sophie Alain. An instrumental and computational pipeline for visualizing free viral particles, 2022-04-03. (https://hal.science/hal-03694309v1)
  • Claire Lefort, Mathieu Chalvidal, Fabienne Baraige, Alexis Parente, Erwan Ferrandon, Véronique Blanquet, Henri Massias, Laetitia Magnol, Emilie Chouzenoux. Axial organization of muscular myosin identified by the optical and computational pipeline FAMOUS, 2022-04-03. (https://hal.science/hal-03694368v1)
  • Cédric Delmon, Erwan Ferrandon, Emilie Chouzenoux, Audrey Prorot, Sophie Alain, Claire Lefort. Multiphoton microscopy for bacterial imaging: a label-free solution resting on endogenous two-photon fluorescence, 2022-02-10. (https://hal.science/hal-03598479v1)
  • 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)
  • Jean-Baptiste Fest, Emilie Chouzenoux. Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification, 2021-08-23. (https://inria.hal.science/hal-03275377v1)
  • 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)
  • Snehil Dahiya, Shalini Sharma, Dhruv Sahnan, Vasu Goel, Emilie Chouzenoux, Víctor Elvira, Angshul Majumdar, Anil Bandhakavi, Tanmoy Chakraborty. Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter, 2021-08-14. (https://hal.science/hal-03281567v1)
  • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. Simulated annealing: a review and a new scheme, 2021-07-11. (https://inria.hal.science/hal-03275401v1)
  • 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)
  • Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Émilie Chouzenoux, François Nicolas, Philippe Robert, Corinne Balleyguier, Nathalie Lassau, Marc-Michel Rohé. Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance, 2021-04-13. (https://hal.science/hal-03128023v1)
  • Yingping Li, Emilie Chouzenoux, Benoit Charmettant, Baya Benatsou, Jean-Philippe Lamarque, Nathalie Lassau. Lightweight U-Net for Lesion Segmentation in Ultrasound Images, 2021-04-13. (https://hal.science/hal-03140737v2)
  • Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis, 2021-01-18. (https://hal.science/hal-02943658v1)
  • 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)
  • Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. Deep Convolutional Transform Learning, 2020-11-18. (https://hal.science/hal-02943652v1)
  • Mathieu Chalvidal, Emilie Chouzenoux. Block distributed 3MG algorithm and its application to 3D image restoration, 2020-10-25. (https://hal.science/hal-02943655v1)
  • 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)
  • 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)
  • Emilie Chouzenoux, Víctor Elvira. Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints, 2020-05-04. (https://hal.science/hal-03066208v1)
  • 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)
  • Yunshi Huang, Emilie Chouzenoux, Víctor Elvira. Particle Filtering for Online Space-Varying Blur Identification, 2019-12-15. (https://hal.science/hal-02406970v1)
  • 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)
  • 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)
  • Víctor Elvira, Emilie Chouzenoux. Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo, 2019-05-12. (https://hal.science/hal-02431677v1)
  • Aanchal Mongia, Vidit Jain, Emilie Chouzenoux, Angshul Majumdar. Deep Latent Factor Model for Predicting Drug Target Interactions, 2019-05-12. (https://hal.science/hal-02406989v1)
  • 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)
  • Emilie Chouzenoux, Víctor Elvira. Adaptive importance sampling with scaled Langevin proposal adaptatioń, 2019-02-17. (https://hal.science/hal-02454644v1)
  • Matthieu Terris, Emilie Chouzenoux. Stochastic MM Subspace Algorithms, 2019-02-03. (https://hal.science/hal-02314411v1)
  • Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet. MM Adapted MH Methods, 2019-02-03. (https://hal.science/hal-02314412v1)
  • Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar. Convolutional Transform learning, 2018-12-13. (https://hal.science/hal-01862201v1)
  • 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)
  • Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux. Transformed Locally Linear Manifold Clustering, 2018-09-03. (https://hal.science/hal-01862192v1)
  • 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)
  • Cherni Afef, Emilie Chouzenoux, Delsuc Marc-André. Fast Dictionary-Based Approach for Mass Spectrometry Data Analysis, 2018-04-15. (https://hal.science/hal-02367434v1)
  • 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)
  • Afef Cherni, Emilie Chouzenoux, Delsuc Marc-André. Fast Dictionnary-Based Approach for Mass Spectrometry Data Analysis, 2018-04-15. (https://hal.science/hal-01803419v1)
  • 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)
  • 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)
  • 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)
  • Afef Cherni, Emilie Chouzenoux, Marc-André Delsuc. Proximity Operators for a Class of Hybrid Sparsity+Entropy Priors. Application to DOSY NMR Signal Reconstruction, 2016-11-21. (https://hal.science/hal-01421741v1)
  • 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)
  • 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)
  • 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)
  • Emilie Chouzenoux, Lisa Lamasse, Sandrine Anthoine, Caroline Chaux, Alexandre Jaouen, Ivo Vanzetta, Franck Debarbieux. Approche variationnelle pour la déconvolution rapide de données 3D en microscopie biphotonique, 2015-09-08. (https://hal.science/hal-01278102v1)
  • 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)
  • 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)
  • Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet. A nonconvex regularized approach for phase retrieval, 2014-10-27. (https://hal.science/hal-01094452v1)
  • Maxime Legendre, Said Moussaoui, Emilie Chouzenoux, Jérôme Idier. Primal-dual Interior-Point Optimization Based on Majorization-Minimization for Edge-Preserving Spectral Unmixing, 2014-10-27. (https://hal.science/hal-01097605v1)
  • 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)
  • 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)
  • 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)
  • 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)
  • Emilie Chouzenoux, Fiona Zolyniak, Emmanuelle Gouillart, Hugues Talbot. A Majorize-Minimize memory gradient algorithm applied to X-ray tomography, 2013-09-15. (https://hal.science/hal-00830052v1)
  • 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)
  • Emilie Chouzenoux, Fiona Zolyniak, Emmanuelle Gouillart, Hugues Talbot. A Majorize-Minimize memory gradient algorithm applied to X-ray tomography, 2013-07-01. (https://hal.science/hal-00797899v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette. Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions, 2013-05-26. (https://hal.science/hal-00823603v1)
  • 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)
  • Saïd Moussaoui, Emilie Chouzenoux, Jérôme Idier. Primal-dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging, 2012-06-04. (https://hal.science/hal-00697880v1)
  • 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)
  • 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)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier. Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale, 2011-09-05. (https://hal.science/hal-00625893v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier. Efficiency of linesearch strategies in interior point methods for linearly constrained signal restoration, 2011-06-28. (https://hal.science/hal-00625901v1)
  • Emilie Chouzenoux, S. Moussaoui, J. Idier, F. Mariette. Optimisation of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction, 2010-03-14. (https://hal.science/hal-00584994v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette. Optimization of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction, 2010-03. (https://hal.science/hal-00456017v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette. Reconstruction d'un spectre RMN 2D par maximum d'entropie, 2009-09. (https://hal.science/hal-00455991v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier. A Majorize-Minimize line search algorithm for barrier function optimization, 2009-08. (https://hal.science/hal-00456013v1)
• Chapitre d'ouvrage - 2 documents
• • Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Äijö, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi. Majoration-Minimization for Sparse SVMs, 2024-10-03. (https://inria.hal.science/hal-04719965v1)
  • Emilie Chouzenoux, Jean-Christophe Pesquet. Optimization Methods for Signal Processing, 2023-10. (https://inria.hal.science/hal-04250055v1)
• Pré-publication, Document de travail - 17 documents
• • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. A divergence-based condition to ensure quantile improvement in black-box global optimization, 2024-06. (https://inria.hal.science/hal-04616771v1)
  • Shalini Sharma, Émilie Chouzenoux, Víctor Elvira, Angshul Majumdar. A dynamical model for stock forecasting via deep recurrent dictionary learning, 2023-12. (https://hal.science/hal-03654152v2)
  • Sayantika Chatterjee, Angshul Majumdar, Emilie Chouzenoux. Antibiotic Bacteria Interaction: Dataset and Benchmarking, 2023-12. (https://inria.hal.science/hal-04376907v1)
  • 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)
  • Emilie Chouzenoux, Jean-Baptiste Fest, Audrey Repetti. A Kurdyka-Lojasiewicz property for stochastic optimization algorithms in a non-convex setting, 2023-02. (https://inria.hal.science/hal-03992655v1)
  • 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)
  • Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConFuse: A Deep Convolutional Transform based Unsupervised Fusion Framework, 2020-01-30. (https://hal.science/hal-02461768v1)
  • Loubna El Gueddari, Emilie Chouzenoux, Alexandre Vignaud, Philippe Ciuciu. Calibration-less parallel imaging compressed sensing reconstruction based on OSCAR regularization, 2019-09-19. (https://inria.hal.science/hal-02292372v1)
  • 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)
  • 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)
  • Emilie Chouzenoux, Jérôme Idier, Saïd Moussaoui. A Majorize-Minimize strategy for subspace optimization applied to image restoration, 2010-09-10. (https://hal.science/hal-00516585v1)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier. A Majorize-Minimize line search algorithm for barrier functions, 2010-09-07. (https://hal.science/hal-00362304v7)
  • Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, F. Mariette. Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra, 2010-02-10. (https://hal.science/hal-00455477v2)
• Rapport - 13 documents
• • Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira. Regularized Rényi divergence minimization through Bregman proximal gradient algorithms, 2024. (https://hal.science/hal-03927834v2)
  • Emilie Chouzenoux, Jean-Baptiste Fest. Convergence Analysis of Block Majorize-Minimize Subspace Approach, 2023-01. (https://hal.science/hal-03920026v2)
  • Stuti Jain, Emilie Chouzenoux, Angshul Majumdar. Deep Probabilistic Matrix Factorization on Graphs: Application to Drug Repositioning for Monkeypox, 2022-11-29. (https://hal.science/hal-03878514v1)
  • 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)
  • Mathieu Chalvidal, Emilie Chouzenoux, Jean-Baptiste Fest, Claire Lefort. Block Delayed Majorize-Minimize Subspace Algorithm for Large Scale Image Restoration, 2022. (https://hal.science/hal-03814231v1)
  • 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)
  • Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia. DeConDFFuse : Predicting Drug-Drug Interaction using joint Deep Convolutional Transform Learning and Decision Forest fusion framework, 2022. (https://hal.science/hal-03897934v1)
  • Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino. Gradient-based Adaptive Importance Samplers, 2022. (https://hal.science/hal-03920127v1)
  • 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)
  • Afef Cherni, Emilie Chouzenoux, M-A Delsuc. PALMA, an improved algorithm for DOSY signal processing, 2016. (https://hal.science/hal-01421737v1)
  • 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)
• POSTER - 2 documents
• • Claire Lefort, Mathieu Chalvidal², Alexis Parenté, Véronique Blanquet, Henri Massias, Laetitia Magnol, Emilie Chouzenoux. FAMOUS pipeline: multiphoton microscopy and computational strategy for 3D imaging of biomedical sample, 2021-07-01. (https://hal.science/hal-03280626v1)
  • Claire Lefort, Mathieu Chalvidal, Alexis Parente, Véronique Blanquet, Henri Massias, Laetitia Magnol, Emilie Chouzenoux. Deep-3D-multiphoton imaging of whole biological structures with a computational assistance and the pipeline FAMOUS, 2021-06-22. (https://hal.science/hal-03274262v1)
• SOFTWARE - 1 document
• • Saïd Moussaoui, Emilie Chouzenoux, Jérôme Idier, Francois Mariette. EMILIO : Entropy Maximization for Iterative Laplace Inversion by Optimization, 2018-05-28. (https://hal.science/hal-02050182v1)
• HDR - 1 document
• • Emilie Chouzenoux. Algorithmes de majoration-minimisation. Application aux problèmes inverses de grande taille en signal/image, 2017-12-01. (https://hal.science/tel-01661236v1)
• Thèse - 1 document
• • Emilie Chouzenoux. Recherche de pas par Majoration-Minoration. Application à la résolution de problèmes inverses., 2010-12-08. (https://theses.hal.science/tel-00555643v1)