A majorize-minimize line search algorithm for barrier function optimization. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier (EUSIPCO, 2009)

Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (ICASSP, 2010)

Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (IEEE Trans. Signal Process., 2010)

A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration. - Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot; Anna Jezierska (ICIP, 2011)

OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. - Lotfi Chaâri; Emilie Chouzenoux; Nelly Pustelnik; Caroline Chaux; Saïd Moussaoui (Traitement du Signal, 2011)

A Majorize-Minimize Strategy for Subspace Optimization Applied to Image Restoration. - Emilie Chouzenoux; Jérôme Idier; Saïd Moussaoui (IEEE Trans. Image Process., 2011)

A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2012)

A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise. - Anna Jezierska; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (ICASSP, 2012)

Primal dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging. - Saïd Moussaoui; Jérôme Idier; Emilie Chouzenoux (WHISPERS, 2012)

A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Philippe Ciuciu; Silviu Ciochina (EUSIPCO, 2013)

Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions. - Emilie Chouzenoux; Saïd Moussaoui; Jérôme Idier; François Mariette (ICASSP, 2013)

A majorize-minimize memory gradient algorithm applied to X-ray tomography. - Emilie Chouzenoux; Fiona Zolyniak; Emmanuelle Gouillart; Hugues Talbot (ICIP, 2013)

Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2013)

A Majorize-Minimize Subspace Approach for ℓ2-ℓ0 Image Regularization. - Emilie Chouzenoux; Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot (SIAM J. Imaging Sci., 2013)

Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale. - Emilie Chouzenoux; Saïd Moussaoui; Maxime Legendre; Jérôme Idier (Traitement du Signal, 2013)

A hybrid alternating proximal method for blind video restoration. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (EUSIPCO, 2014)

A stochastic 3MG algorithm with application to 2D filter identification. - Emilie Chouzenoux; Jean-Christophe Pesquet; Anisia Florescu (EUSIPCO, 2014)

Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2014)

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2014)

Cramer-Rao bound for a sparse complex model. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Silviu Ciochina (COMM, 2014)

A multi-parameter optimization approach for complex continuous sparse modelling. - Emilie Chouzenoux; Jean-Christophe Pesquet; Anisia Florescu (DSP, 2014)

Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral unmixing. - Maxime Legendre; Saïd Moussaoui; Emilie Chouzenoux; Jérôme Idier (ICIP, 2014)

A nonconvex regularized approach for phase retrieval. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2014)

Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Optim. Theory Appl., 2014)

A Majorize-Minimize Memory Gradient method for complex-valued inverse problems. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Philippe Ciuciu; Silviu Ciochina (Signal Process., 2014)

Fast Constrained Least Squares Spectral Unmixing Using Primal-Dual Interior-Point Optimization. - Emilie Chouzenoux; Maxime Legendre; Saïd Moussaoui; Jérôme Idier (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

A distributed strategy for computing proximity operators. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (ACSSC, 2015)

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2015)

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2015)

A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (ICIP, 2015)

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (CoRR, 2015)

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. - Emilie Chouzenoux; Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot (SIAM J. Imaging Sci., 2015)

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ1/ℓ2 Regularization. - Audrey Repetti; Mai Quyen Pham; Laurent Duval; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2015)

A block parallel majorize-minimize memory gradient algorithm. - Sara Cadoni; Emilie Chouzenoux; Jean-Christophe Pesquet; Caroline Chaux (ICIP, 2016)

Proximity operators for a class of hybrid sparsity + entropy priors application to dosy NMR signal reconstruction. - Afef Cherni; Emilie Chouzenoux; Marc-André Delsuc (ISIVC, 2016)

An auxiliary variable method for Langevin based MCMC algorithms. - Yosra Marnissi; Emilie Chouzenoux; Jean-Christophe Pesquet; Amel Benazza-Benyahia (SSP, 2016)

A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (CoRR, 2016)

A block coordinate variable metric forward-backward algorithm. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Glob. Optim., 2016)

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (IEEE J. Sel. Top. Signal Process., 2016)

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. - Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2016)

A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior. - Qi Wei 002; Emilie Chouzenoux; Jean-Yves Tourneret; Jean-Christophe Pesquet (CAMSAP, 2017)

A two-stage subspace trust region approach for deep neural network training. - Viacheslav Dudar; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet; Vladimir Semenov (EUSIPCO, 2017)

Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (J. Math. Imaging Vis., 2017)

A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Computational Imaging, 2017)

A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. - Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2017)

Transformed Locally Linear Manifold Clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux (EUSIPCO, 2018)

A Nonconvex Variational Approach for Robust Graphical Lasso. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2018)

Fast Dictionary-Based Approach for Mass Spectrometry Data Analysis. - Afef Cherni; Emilie Chouzenoux; Marc-André Delsuc (ICASSP, 2018)

PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. - Marie-Caroline Corbineau; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2018)

A Multicore Convex Optimization Algorithm with Applications to Video Restoration. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (ICIP, 2018)

Convolutional Transform Learning. - Jyoti Maggu; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ICONIP (3), 2018)

Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. - Marie-Caroline Corbineau; Emilie Chouzenoux; Jean-Christophe Pesquet (SAM, 2018)

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. - Tim Tsz-Kit Lau; Emilie Chouzenoux; Claire Lefort; Jean-Christophe Pesquet (ISBI, 2018)

Deep Unfolding of a Proximal Interior Point Method for Image Restoration. - Carla Bertocchi; Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Marco Prato (CoRR, 2018)

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (Entropy, 2018)

Particle Filtering for Online Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (CAMSAP, 2019)

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. - Yosra Marnissi; Dany Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Mohamed El Badaoui; Amel Benazza-Benyahia (EUSIPCO, 2019)

Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. - Víctor Elvira; Emilie Chouzenoux (ICASSP, 2019)

Deep Latent Factor Model for Predicting Drug Target Interactions. - Aanchal Mongia; Vidit Jain; Emilie Chouzenoux; Angshul Majumdar (ICASSP, 2019)

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. - Marie-Caroline Corbineau; Carla Bertocchi; Emilie Chouzenoux; Marco Prato; Jean-Christophe Pesquet (ICIP, 2019)

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. - Loubna El Gueddari; Philippe Ciuciu; Emilie Chouzenoux; Alexandre Vignaud; Jean-Christophe Pesquet (ISBI, 2019)

A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. - Maissa Sghaier; Emilie Chouzenoux; Giovanni Palma; Jean-Christophe Pesquet; Serge Muller (ISBI, 2019)

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. - Luis M. Briceño-Arias; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet (Comput. Optim. Appl., 2019)

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. - Emilie Chouzenoux; Tim Tsz-Kit Lau; Claire Lefort; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2019)

An alternating proximal approach for blind video deconvolution. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (Signal Process. Image Commun., 2019)

A Probabilistic Incremental Proximal Gradient Method. - Ömer Deniz Akyildiz; Emilie Chouzenoux; Víctor Elvira; Joaquín Míguez (IEEE Signal Process. Lett., 2019)

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. - Marie-Caroline Corbineau; Denis Kouamé; Emilie Chouzenoux; Jean-Yves Tourneret; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2019)

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EUSIPCO, 2020)

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell; Yves Trousset (EUSIPCO, 2020)

Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. - Shikha Singh 001; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICASSP, 2020)

Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2020)

Block Distributed 3MG Algorithm and its Application to 3D Image Restoration. - Mathieu Chalvidal; Emilie Chouzenoux (ICIP, 2020)

Deep Convolutional Transform Learning. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICONIP (5), 2020)

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. - Maissa Sghaier; Emilie Chouzenoux; Jean-Christophe Pesquet; Serge Muller (ISBI, 2020)

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. - Mathilde Galinier; Marco Prato; Emilie Chouzenoux; Jean-Christophe Pesquet (MLSP, 2020)

Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration. - Mathieu Chalvidal; Emilie Chouzenoux (CoRR, 2020)

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (CoRR, 2020)

Deep Convolutional Transform Learning - Extended version. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (CoRR, 2020)

DeConFuse: a deep convolutional transform-based unsupervised fusion framework. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EURASIP J. Adv. Signal Process., 2020)

A Proximal Interior Point Algorithm with Applications to Image Processing. - Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2020)

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (Signal Process., 2020)

Deeply transformed subspace clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2020)

Deep latent factor model for collaborative filtering. - Aanchal Mongia; Neha Jhamb; Emilie Chouzenoux; Angshul Majumdar (Signal Process., 2020)

SPOQ $ ell _p$-Over-$ ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry. - Afef Cherni; Emilie Chouzenoux; Laurent Duval; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2020)

Majorize-Minimize Adapted Metropolis-Hastings Algorithm. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2020)

Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification. - Jean-Baptiste Fest; Emilie Chouzenoux (EUSIPCO, 2021)

GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. - Mouna Gharbi; Emilie Chouzenoux; Jean-Christophe Pesquet; Laurent Duval (EUSIPCO, 2021)

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. - Ségolène Martin; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2021)

Deep Transform and Metric Learning Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (ICASSP, 2021)

Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance. - Alexandre Bône; Samy Ammari; Jean-Philippe Lamarque; Mickael Elhaik; Emilie Chouzenoux; François Nicolas; Philippe Robert; Corinne Balleyguier; Nathalie Lassau; Marc-Michel Rohé (ISBI, 2021)

Lightweight U-Net For Lesion Segmentation In Ultrasound Images. - Yingping Li; Emilie Chouzenoux; Benoit Charmettant; Baya Benatsou; Jean-Philippe Lamarque; Nathalie Lassau (ISBI, 2021)

A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. - Vlad Vasilescu; Ana Neacsu; Emilie Chouzenoux; Jean-Christophe Pesquet; Corneliu Burileanu (ISBI, 2021)

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter. - Snehil Dahiya; Shalini Sharma; Dhruv Sahnan; Vasu Goel; Emilie Chouzenoux; Víctor Elvira; Angshul Majumdar; Anil Bandhakavi; Tanmoy Chakraborty 002 (KDD, 2021)

Simulated Annealing: a Review and a New Scheme. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (SSP, 2021)

SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2021)

Recurrent dictionary learning for state-space models with an application in stock forecasting. - Shalini Sharma; Víctor Elvira; Emilie Chouzenoux; Angshul Majumdar (Neurocomputing, 2021)

Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization. - Loubna El Gueddari; Chaithya Giliyar Radhakrishna; Emilie Chouzenoux; Philippe Ciuciu (J. Imaging, 2021)

Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions]. - Tirza Routtenberg; Alberto Carini; Emilie Chouzenoux; Piya Pal; José Carlos Moreira Bermudez; Lucio Marcenaro (IEEE Signal Process. Mag., 2021)

Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira (IEEE Trans. Computational Imaging, 2021)

Transformed Subspace Clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux (IEEE Trans. Knowl. Data Eng., 2021)

A CNC approach for Directional Total Variation. - Gabriele Scrivanti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2022)

Proximal-Based Adaptive Simulated Annealing for Global Optimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (ICASSP, 2022)

Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. - Shikha Singh 001; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

Deep Convolutional K-Means Clustering. - Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. - Claire Rossignol; Florent Sureau; Emilie Chouzenoux; Claude Comtat; Jean-Christophe Pesquet (ICIP, 2022)

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. - Ségolène Martin; Malik Boudiaf; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (NeurIPS, 2022)

Multiphoton Microscopy for Bacterial Imaging: A Label-free Solution Resting on Endogenous Two-photon Fluorescence. - Cédric Delmon; Erwan Ferrandon; Emilie Chouzenoux; Audrey Prorot; Sophie Alain; Claire Lefort (PHOTOPTICS, 2022)

A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. - Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Gabriele Scrivanti (CoRR, 2022)

Distributed algorithms for scalable proximity operator computation and application to video denoising. - Feriel Abboud; Marin Stamm; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (Digit. Signal Process., 2022)

Binary matrix completion on graphs: Application to collaborative filtering. - Divyanshu Talwar; Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (Digit. Signal Process., 2022)

Deep transform and metric learning network: Wedding deep dictionary learning and neural network. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (Neurocomputing, 2022)

DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. - Aanchal Mongia; Stuti Jain; Emilie Chouzenoux; Angshul Majumdar (J. Comput. Biol., 2022)

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm. - Emilie Chouzenoux; Jean-Baptiste Fest (J. Optim. Theory Appl., 2022)

A Novel Task-Based reconstruction approach for digital breast tomosynthesis. - Maissa Sghaier; Emilie Chouzenoux; Jean-Christophe Pesquet; Serge Muller (Medical Image Anal., 2022)

Unmatched Preconditioning of the Proximal Gradient Algorithm. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell (IEEE Signal Process. Lett., 2022)

Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. - Aanchal Mongia; Emilie Chouzenoux; Angshul Majumdar (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. - Shikha Singh 001; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ACM Trans. Knowl. Discov. Data, 2022)

Optimized Population Monte Carlo. - Víctor Elvira; Emilie Chouzenoux (IEEE Trans. Signal Process., 2022)

Graphical Inference in Linear-Gaussian State-Space Models. - Víctor Elvira; Emilie Chouzenoux (IEEE Trans. Signal Process., 2022)

Stability of Unfolded Forward-Backward to Perturbations in Observed Data. - Cécile de Valle; Ezequiel Centofanti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2023)

Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2023)

A Proximal Approach to IVA-G with Convergence Guarantees. - Clément Cosserat; Ben Gabrielson; Emilie Chouzenoux; Jean-Christophe Pesquet; Tülay Adali (ICASSP, 2023)

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (ICASSP, 2023)

A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. - Jean-Baptiste Fest; Audrey Repetti; Emilie Chouzenoux (MLSP, 2023)

GraphIT: Iterative reweighted 𝓁1 algorithm for sparse graph inference in state-space models. - Emilie Chouzenoux; Victor Elvira (CoRR, 2023)

Graphs in State-Space Models for Granger Causality in Climate Science. - Víctor Elvira; Emilie Chouzenoux; Jordi Cerdà; Gustau Camps-Valls (CoRR, 2023)

Majorization-Minimization for sparse SVMs. - Alessandro Benfenati; Emilie Chouzenoux; Giorgia Franchini; Salla Latva-Aijo; Dominik Narnhofer; Jean-Christophe Pesquet; Sebastian J. Scott; Mahsa Yousefi (CoRR, 2023)

Aggregated f-average Neural Network for Interpretable Ensembling. - Mathieu Vu; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2023)

Deep State-Space Model for Predicting Cryptocurrency Price. - Shalini Sharma; Angshul Majumdar; Emilie Chouzenoux; Victor Elvira (CoRR, 2023)

PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes. - Paul Zheng; Emilie Chouzenoux; Laurent Duval (IEEE Signal Process. Lett., 2023)

Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell (IEEE Trans. Computational Imaging, 2023)

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. - Yunshi Huang; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2023)

Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. - Emilie Chouzenoux; Andrés Contreras; Jean-Christophe Pesquet; Marion Savanier (SIAM J. Imaging Sci., 2023)

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. - Emilie Chouzenoux; Ségolène Martin; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2023)

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. - Stuti Jain; Emilie Chouzenoux; Kriti Kumar; Angshul Majumdar (IEEE J. Biomed. Health Informatics, 2023)

Gradient-based adaptive importance samplers. - Víctor Elvira; Emilie Chouzenoux; Ömer Deniz Akyildiz; Luca Martino (J. Frankl. Inst., 2023)

DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2023)

Efficient bayes inference in neural networks through adaptive importance sampling. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira; Jean-Christophe Pesquet (J. Frankl. Inst., 2023)

Special issue on non-deterministic machine learning. - Shao-Lun Huang; Emilie Chouzenoux; Simon J. Godsill; Tie Liu; Linqi Song; Lei Zhang (J. Frankl. Inst., 2023)

Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. - Thomas Guilmeau; Nicola Branchini; Emilie Chouzenoux; Victor Elvira (AISTATS, 2024)

Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models. - Emilie Chouzenoux; Víctor Elvira (ICASSP, 2024)

Deep Learning Method for Accessible Eccentric Photorefraction. - Mathieu Vu; Émilie Chouzenoux; Jean-Christophe Pesquet; Stéphane Boutinon; Marius Peloux; Philippe Pinault (ISBI, 2024)

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. - Mouna Gharbi; Silvia Villa; Emilie Chouzenoux; Jean-Christophe Pesquet; Laurent Duval (MLSP, 2024)

Stability Bounds for the Unfolded Forward-Backward Algorithm. - Emilie Chouzenoux; Cécile de Valle; Jean-Christophe Pesquet (CoRR, 2024)

Sparse Graphical Linear Dynamical Systems. - Emilie Chouzenoux; Victor Elvira (J. Mach. Learn. Res., 2024)

Solution of Mismatched Monotone+Lipschitz Inclusion Problems. - Emilie Chouzenoux; Jean-Christophe Pesquet; Fernando Roldán (SIAM J. Optim., 2024)

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. - Mouna Gharbi; Emilie Chouzenoux; Jean-Christophe Pesquet (Signal Process., 2024)

DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. - Pooja Gupta; Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2024)

Convergence analysis of block majorize-minimize subspace approach. - Emilie Chouzenoux; Jean-Baptiste Fest (Optim. Lett., 2024)

A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models. - Émilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Gabriele Scrivanti (J. Math. Imaging Vis., 2024)

Learning a Sparse Polynomial Approximation to the Transition Function of General State-Space Models. - Benjamin Cox; Émilie Chouzenoux; Víctor Elvira (ICASSP, 2025)

Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis. - Gaspard Blaise; Clément Cosserat; Emilie Chouzenoux; Jean-Christophe Pesquet; Tülay Adali (SSP, 2025)

Aggregatedf-average neural network applied to few-shot class incremental learning. - Mathieu Vu; Émilie Chouzenoux; Ismail Ben Ayed; Jean-Christophe Pesquet (Signal Process., 2025)

A Proximal Newton Adaptive Importance Sampler. - Víctor Elvira; Émilie Chouzenoux; Ömer Deniz Akyildiz (IEEE Signal Process. Lett., 2025)

GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models. - Benjamin Cox; Émilie Chouzenoux; Víctor Elvira (IEEE Trans. Signal Process., 2025)

A Divergence-Based Condition to Ensure Quantile Improvement in Black-Box Global Optimization. - Thomas Guilmeau; Emilie Chouzenoux; Víctor Elvira (IEEE Trans. Evol. Comput., 2025)