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ORCIDEmilie Chouzenoux
Émilie Chouzenoux
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- affiliation: Université, Paris-Saclay, Inria, CentraleSupélec, OPIS, CVN, Paris, France
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2020 – today
- 2024
[j61]Émilie 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): 550-571 (2024)- [j60]Emilie Chouzenoux, Victor Elvira:
Sparse Graphical Linear Dynamical Systems. J. Mach. Learn. Res. 25: 223:1-223:53 (2024) - [j59]Emilie Chouzenoux
, Jean-Baptiste Fest:
Convergence analysis of block majorize-minimize subspace approach. Optim. Lett. 18(5): 1111-1130 (2024) - [j58]Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet:
An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. Signal Process. 218: 109369 (2024) - [j57]Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. Signal Process. 224: 109597 (2024) - [c74]Thomas Guilmeau, Nicola Branchini, Emilie Chouzenoux, Victor Elvira:
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization. AISTATS 2024: 3871-3879 - [c73]Emilie Chouzenoux, Víctor Elvira:
Graphical Inference in Non-Markovian Linear-Gaussian State-Space Models. ICASSP 2024: 13141-13145 - [c72]Mathieu Vu, Émilie Chouzenoux, Jean-Christophe Pesquet, Stéphane Boutinon, Marius Peloux, Philippe Pinault:
Deep Learning Method for Accessible Eccentric Photorefraction. ISBI 2024: 1-5 - 2023
- [j56]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227: 120238 (2023) - [j55]Víctor Elvira, Emilie Chouzenoux, Ömer Deniz Akyildiz, Luca Martino:
Gradient-based adaptive importance samplers. J. Frankl. Inst. 360(13): 9490-9514 (2023) - [j54]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira, Jean-Christophe Pesquet:
Efficient bayes inference in neural networks through adaptive importance sampling. J. Frankl. Inst. 360(16): 12125-12149 (2023) - [j53]Shao-Lun Huang, Emilie Chouzenoux, Simon J. Godsill, Tie Liu, Linqi Song, Lei Zhang:
Special issue on non-deterministic machine learning. J. Frankl. Inst. 360(17): 12875-12877 (2023) - [j52]Emilie 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): 253-276 (2023) - [j51]Emilie 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): 1-34 (2023) - [j50]Paul Zheng, Emilie Chouzenoux, Laurent Duval:
PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes. IEEE Signal Process. Lett. 30: 215-219 (2023) - [j49]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. IEEE Trans. Computational Imaging 9: 502-516 (2023) - [j48]Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet:
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. IEEE Trans. Image Process. 32: 430-445 (2023) - [j47]Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. IEEE J. Biomed. Health Informatics 27(5): 2565-2574 (2023) - [c71]Cécile de Valle, Ezequiel Centofanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
Stability of Unfolded Forward-Backward to Perturbations in Observed Data. EUSIPCO 2023: 865-869 - [c70]Emilie Chouzenoux, Víctor Elvira:
Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models. ICASSP 2023: 1-5 - [c69]Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali:
A Proximal Approach to IVA-G with Convergence Guarantees. ICASSP 2023: 1-5 - [c68]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization. ICASSP 2023: 1-5 - [c67]Jean-Baptiste Fest, Audrey Repetti, Emilie Chouzenoux:
A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent. MLSP 2023: 1-6 - [i31]Paul Zheng, Emilie Chouzenoux, Laurent Duval:
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes. CoRR abs/2301.01514 (2023) - [i30]Emilie Chouzenoux, Victor Elvira:
GraphIT: Iterative reweighted 𝓁1 algorithm for sparse graph inference in state-space models. CoRR abs/2303.12569 (2023) - [i29]Emilie Chouzenoux, Victor Elvira:
Sparse Graphical Linear Dynamical Systems. CoRR abs/2307.03210 (2023) - [i28]Víctor Elvira, Emilie Chouzenoux, Jordi Cerdà, Gustau Camps-Valls:
Graphs in State-Space Models for Granger Causality in Climate Science. CoRR abs/2307.10703 (2023) - [i27]Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi:
Majorization-Minimization for sparse SVMs. CoRR abs/2308.16858 (2023) - [i26]Mathieu Vu, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Aggregated f-average Neural Network for Interpretable Ensembling. CoRR abs/2310.05566 (2023) - [i25]Shalini Sharma, Angshul Majumdar, Emilie Chouzenoux, Victor Elvira:
Deep State-Space Model for Predicting Cryptocurrency Price. CoRR abs/2311.14731 (2023) - 2022
- [j46]Divyanshu Talwar, Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar:
Binary matrix completion on graphs: Application to collaborative filtering. Digit. Signal Process. 122: 103350 (2022) - [j45]Feriel Abboud, Marin Stamm, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
Distributed algorithms for scalable proximity operator computation and application to video denoising. Digit. Signal Process. 128: 103610 (2022) - [j44]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep transform and metric learning network: Wedding deep dictionary learning and neural network. Neurocomputing 509: 244-256 (2022) - [j43]Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar:
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19. J. Comput. Biol. 29(5): 441-452 (2022) - [j42]Emilie Chouzenoux, Jean-Baptiste Fest:
SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm. J. Optim. Theory Appl. 195(3): 919-952 (2022) - [j41]Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller:
A Novel Task-Based reconstruction approach for digital breast tomosynthesis. Medical Image Anal. 77: 102341 (2022) - [j40]Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell:
Unmatched Preconditioning of the Proximal Gradient Algorithm. IEEE Signal Process. Lett. 29: 1122-1126 (2022) - [j39]Aanchal Mongia, Emilie Chouzenoux, Angshul Majumdar:
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3332-3339 (2022) - [j38]Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16(5): 91:1-91:6 (2022) - [j37]Víctor Elvira, Emilie Chouzenoux:
Optimized Population Monte Carlo. IEEE Trans. Signal Process. 70: 2489-2501 (2022) - [j36]Víctor Elvira, Emilie Chouzenoux:
Graphical Inference in Linear-Gaussian State-Space Models. IEEE Trans. Signal Process. 70: 4757-4771 (2022) - [c66]Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. EUSIPCO 2022: 488-492 - [c65]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Proximal-Based Adaptive Simulated Annealing for Global Optimization. ICASSP 2022: 5453-5457 - [c64]Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP 2022: 206-210 - [c63]Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional K-Means Clustering. ICIP 2022: 211-215 - [c62]Claire Rossignol, Florent Sureau, Emilie Chouzenoux, Claude Comtat, Jean-Christophe Pesquet:
A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. ICIP 2022: 1736-1740 - [c61]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. NeurIPS 2022 - [c60]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. PHOTOPTICS 2022: 76-83 - [i24]Emilie 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 abs/2209.01375 (2022) - [i23]Gabriele Scrivanti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A CNC approach for Directional Total Variation. CoRR abs/2209.01376 (2022) - [i22]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. CoRR abs/2209.13264 (2022) - [i21]Yunshi Huang, Emilie Chouzenoux, Victor Elvira, Jean-Christophe Pesquet:
Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling. CoRR abs/2210.00993 (2022) - [i20]Stuti Jain, Emilie Chouzenoux, Kriti Kumar, Angshul Majumdar:
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction. CoRR abs/2210.10784 (2022) - [i19]Ségolène Martin, Malik Boudiaf, Emilie Chouzenoux, Jean-Christophe Pesquet, Ismail Ben Ayed:
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference. CoRR abs/2210.14545 (2022) - 2021
- [j35]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169: 114206 (2021) - [j34]Shalini Sharma, Víctor Elvira, Emilie Chouzenoux, Angshul Majumdar:
Recurrent dictionary learning for state-space models with an application in stock forecasting. Neurocomputing 450: 1-13 (2021) - [j33]Loubna El Gueddari, Chaithya Giliyar Radhakrishna, Emilie Chouzenoux, Philippe Ciuciu:
Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization. J. Imaging 7(3): 58 (2021) - [j32]Tirza Routtenberg, Alberto Carini, Emilie Chouzenoux, Piya Pal, José Carlos Moreira Bermudez, Lucio Marcenaro:
Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions]. IEEE Signal Process. Mag. 38(2): 138-143 (2021) - [j31]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira:
Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification. IEEE Trans. Computational Imaging 7: 531-546 (2021) - [j30]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1796-1801 (2021) - [c59]Jean-Baptiste Fest, Emilie Chouzenoux:
Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification. EUSIPCO 2021: 2069-2073 - [c58]Ségolène Martin, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. EUSIPCO 2021: 2074-2078 - [c57]Mouna Gharbi, Emilie Chouzenoux, Jean-Christophe Pesquet, Laurent Duval:
GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. EUSIPCO 2021: 2094-2098 - [c56]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. ICASSP 2021: 2735-2739 - [c55]Yingping Li, Emilie Chouzenoux, Benoit Charmettant, Baya Benatsou, Jean-Philippe Lamarque, Nathalie Lassau:
Lightweight U-Net For Lesion Segmentation In Ultrasound Images. ISBI 2021: 611-615 - [c54]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. ISBI 2021: 635-639 - [c53]Alexandre Bône, Samy Ammari, Jean-Philippe Lamarque, Mickael Elhaik, Emilie 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. ISBI 2021: 1159-1163 - [c52]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. KDD 2021: 2732-2742 - [c51]Thomas Guilmeau, Emilie Chouzenoux, Víctor Elvira:
Simulated Annealing: a Review and a New Scheme. SSP 2021: 101-105 - [i18]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Networks. CoRR abs/2104.10329 (2021) - [i17]Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet:
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. CoRR abs/2110.07202 (2021) - 2020
- [j29]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020(1): 26 (2020) - [j28]Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet:
A Proximal Interior Point Algorithm with Applications to Image Processing. J. Math. Imaging Vis. 62(6-7): 919-940 (2020) - [j27]Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar:
Deep latent factor model for collaborative filtering. Signal Process. 169: 107366 (2020) - [j26]Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet:
Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. Signal Process. 169: 107417 (2020) - [j25]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deeply transformed subspace clustering. Signal Process. 174: 107628 (2020) - [j24]Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
Majorize-Minimize Adapted Metropolis-Hastings Algorithm. IEEE Trans. Signal Process. 68: 2356-2369 (2020) - [j23]Afef Cherni, Emilie 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: 6070-6084 (2020) - [c50]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO 2020: 1986-1990 - [c49]Marion Savanier, Emilie Chouzenoux, Jean-Christophe Pesquet, Cyril Riddell, Yves Trousset:
Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. EUSIPCO 2020: 2140-2144 - [c48]Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP 2020: 4287-4291 - [c47]Emilie Chouzenoux, Víctor Elvira:
Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints. ICASSP 2020: 5840-5844 - [c46]Mathieu Chalvidal, Emilie Chouzenoux:
Block Distributed 3MG Algorithm and its Application to 3D Image Restoration. ICIP 2020: 938-942 - [c45]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning. ICONIP (5) 2020: 300-307 - [c44]Maissa Sghaier, Emilie Chouzenoux, Jean-Christophe Pesquet, Serge Muller:
A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. ISBI 2020: 629-633 - [c43]Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. MLSP 2020: 1-6 - [i16]Mathieu Chalvidal, Emilie Chouzenoux:
Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration. CoRR abs/2002.02328 (2020) - [i15]Wen Tang, Emilie Chouzenoux, Jean-Christophe Pesquet, Hamid Krim:
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. CoRR abs/2002.07898 (2020) - [i14]Aanchal Mongia, Stuti Jain, Emilie Chouzenoux, Angshul Majumdar:
DeepVir - Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19. CoRR abs/2009.10333 (2020) - [i13]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning - Extended version. CoRR abs/2010.01011 (2020) - [i12]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR abs/2011.04317 (2020) - [i11]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR abs/2011.04337 (2020) - [i10]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR abs/2011.04364 (2020)
2010 – 2019
- 2019
- [j22]Luis M. 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. Comput. Optim. Appl. 72(3): 707-726 (2019) - [j21]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. J. Math. Imaging Vis. 61(7): 1037-1050 (2019) - [j20]Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
An alternating proximal approach for blind video deconvolution. Signal Process. Image Commun. 70: 21-36 (2019) - [j19]Ömer Deniz Akyildiz, Emilie Chouzenoux, Víctor Elvira, Joaquín Míguez:
A Probabilistic Incremental Proximal Gradient Method. IEEE Signal Process. Lett. 26(8): 1257-1261 (2019) - [j18]Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. IEEE Signal Process. Lett. 26(10): 1456-1460 (2019) - [c42]Yunshi Huang, Emilie Chouzenoux, Víctor Elvira:
Particle Filtering for Online Space-Varying Blur Identification. CAMSAP 2019: 544-548 - [c41]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. EUSIPCO 2019: 1-5 - [c40]Aanchal Mongia, Vidit Jain, Emilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Predicting Drug Target Interactions. ICASSP 2019: 1254-1258 - [c39]Víctor Elvira, Emilie Chouzenoux:
Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo. ICASSP 2019: 5077-5081 - [c38]Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet:
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. ICIP 2019: 4664-4668 - [c37]Maissa Sghaier, Emilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller:
A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. ISBI 2019: 1450-1454 - [c36]Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet:
Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. ISBI 2019: 1532-1536 - [i9]Marie-Caroline Corbineau, Denis Kouamé, Emilie Chouzenoux, Jean-Yves Tourneret, Jean-Christophe Pesquet:
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. CoRR abs/1903.08111 (2019) - [i8]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Subspace Clustering. CoRR abs/1912.04734 (2019) - [i7]Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar:
Deep Latent Factor Model for Collaborative Filtering. CoRR abs/1912.04754 (2019) - 2018
- [j17]Yosra Marnissi, Emilie Chouzenoux, Amel Benazza-Benyahia, Jean-Christophe Pesquet:
An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. Entropy 20(2): 110 (2018) - [c35]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux:
Transformed Locally Linear Manifold Clustering. EUSIPCO 2018: 1057-1061 - [c34]Afef Cherni, Emilie Chouzenoux, Marc-André Delsuc:
Fast Dictionary-Based Approach for Mass Spectrometry Data Analysis. ICASSP 2018: 816-820 - [c33]Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet:
PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. ICASSP 2018: 1343-1347 - [c32]Alessandro Benfenati, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Nonconvex Variational Approach for Robust Graphical Lasso. ICASSP 2018: 3969-3973 - [c31]Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
A Multicore Convex Optimization Algorithm with Applications to Video Restoration. ICIP 2018: 1173-1177 - [c30]Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Convolutional Transform Learning. ICONIP (3) 2018: 162-174 - [c29]Marie-Caroline Corbineau, Emilie Chouzenoux, Jean-Christophe Pesquet:
Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. SAM 2018: 435-439 - [c28]Tim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet:
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. ISBI 2018: 484-488 - [i6]Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR abs/1805.09430 (2018) - [i5]Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato:
Deep Unfolding of a Proximal Interior Point Method for Image Restoration. CoRR abs/1812.04276 (2018) - 2017
- [j16]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. J. Math. Imaging Vis. 59(3): 415-431 (2017) - [j15]Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. IEEE Trans. Computational Imaging 3(4): 722-737 (2017) - [j14]Emilie Chouzenoux, Jean-Christophe Pesquet:
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. IEEE Trans. Signal Process. 65(18): 4770-4783 (2017) - [c27]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. CAMSAP 2017: 1-5 - [c26]Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A two-stage subspace trust region approach for deep neural network training. EUSIPCO 2017: 291-295 - [i4]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. CoRR abs/1709.06178 (2017) - [i3]Luis M. 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. CoRR abs/1712.09131 (2017) - 2016
- [j13]Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
A block coordinate variable metric forward-backward algorithm. J. Glob. Optim. 66(3): 457-485 (2016) - [j12]Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin:
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. IEEE J. Sel. Top. Signal Process. 10(2): 224-241 (2016) - [j11]Emilie Chouzenoux, Jean-Christophe Pesquet:
Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. IEEE Signal Process. Lett. 23(9): 1284-1288 (2016) - [c25]Sara Cadoni, Emilie Chouzenoux, Jean-Christophe Pesquet, Caroline Chaux:
A block parallel majorize-minimize memory gradient algorithm. ICIP 2016: 3194-3198 - [c24]Afef Cherni, Emilie Chouzenoux, Marc-André Delsuc:
Proximity operators for a class of hybrid sparsity + entropy priors application to dosy NMR signal reconstruction. ISIVC 2016: 120-125 - [c23]Yosra Marnissi, Emilie Chouzenoux, Jean-Christophe Pesquet, Amel Benazza-Benyahia:
An auxiliary variable method for Langevin based MCMC algorithms. SSP 2016: 1-5 - [i2]Yosra Marnissi, Yuling Zheng, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. CoRR abs/1610.07519 (2016) - 2015
- [j10]Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot:
A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. SIAM J. Imaging Sci. 8(4): 2662-2682 (2015) - [j9]Audrey Repetti, Mai Quyen Pham, Laurent Duval, Emilie Chouzenoux, Jean-Christophe Pesquet:
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ1/ℓ2 Regularization. IEEE Signal Process. Lett. 22(5): 539-543 (2015) - [c22]Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A distributed strategy for computing proximity operators. ACSSC 2015: 396-400 - [c21]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. EUSIPCO 2015: 235-239 - [c20]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. ICASSP 2015: 3561-3565 - [c19]Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences. ICIP 2015: 4917-4921 - [i1]Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Yves Tourneret, Alfred O. Hero III, Steve McLaughlin:
Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. CoRR abs/1505.00273 (2015) - 2014
- [j8]Emilie Chouzenoux, Jean-Christophe Pesquet, Audrey Repetti:
Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory Appl. 162(1): 107-132 (2014) - [j7]Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina:
A Majorize-Minimize Memory Gradient method for complex-valued inverse problems. Signal Process. 103: 285-295 (2014) - [j6]Emilie Chouzenoux, Maxime Legendre, Saïd Moussaoui, Jérôme Idier:
Fast Constrained Least Squares Spectral Unmixing Using Primal-Dual Interior-Point Optimization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(1): 59-69 (2014) - [c18]Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet:
Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. EUSIPCO 2014: 1332-1336 - [c17]Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu:
A stochastic 3MG algorithm with application to 2D filter identification. EUSIPCO 2014: 1587-1591 - [c16]Feriel Abboud, Emilie Chouzenoux, Jean-Christophe Pesquet, Jean-Hugues Chenot, Louis Laborelli:
A hybrid alternating proximal method for blind video restoration. EUSIPCO 2014: 1811-1815 - [c15]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. ICASSP 2014: 1498-1502 - [c14]Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Silviu Ciochina:
Cramer-Rao bound for a sparse complex model. COMM 2014: 1-4 - [c13]Emilie Chouzenoux, Jean-Christophe Pesquet, Anisia Florescu:
A multi-parameter optimization approach for complex continuous sparse modelling. DSP 2014: 817-820 - [c12]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A nonconvex regularized approach for phase retrieval. ICIP 2014: 1753-1757 - [c11]Maxime Legendre, Saïd Moussaoui, Emilie Chouzenoux, Jérôme Idier:
Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral unmixing. ICIP 2014: 4161-4165 - 2013
- [j5]Emilie Chouzenoux, Anna Jezierska, Jean-Christophe Pesquet, Hugues Talbot:
A Majorize-Minimize Subspace Approach for ℓ2-ℓ0 Image Regularization. SIAM J. Imaging Sci. 6(1): 563-591 (2013) - [j4]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. Traitement du Signal 30(1-2): 35-59 (2013) - [c10]Anisia Florescu, Emilie Chouzenoux, Jean-Christophe Pesquet, Philippe Ciuciu, Silviu Ciochina:
A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI. EUSIPCO 2013: 1-5 - [c9]Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette:
Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions. ICASSP 2013: 8747-8750 - [c8]Emilie Chouzenoux, Fiona Zolyniak, Emmanuelle Gouillart, Hugues Talbot:
A majorize-minimize memory gradient algorithm applied to X-ray tomography. ICIP 2013: 1011-1015 - [c7]Yosra Marnissi, Amel Benazza-Benyahia, Emilie Chouzenoux, Jean-Christophe Pesquet:
Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. ICIP 2013: 2402-2406 - 2012
- [c6]Audrey Repetti, Emilie Chouzenoux, Jean-Christophe Pesquet:
A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. EUSIPCO 2012: 1553-1557 - [c5]Anna Jezierska, Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot:
A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise. ICASSP 2012: 1085-1088 - [c4]Saïd Moussaoui, Jérôme Idier, Emilie Chouzenoux:
Primal dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging. WHISPERS 2012: 1-4 - 2011
- [j3]Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui:
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal 28(3-4): 329-374 (2011) - [j2]Emilie Chouzenoux, Jérôme Idier, Saïd Moussaoui:
A Majorize-Minimize Strategy for Subspace Optimization Applied to Image Restoration. IEEE Trans. Image Process. 20(6): 1517-1528 (2011) - [c3]Emilie Chouzenoux, Jean-Christophe Pesquet, Hugues Talbot, Anna Jezierska:
A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration. ICIP 2011: 2717-2720 - 2010
- [j1]Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette:
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra. IEEE Trans. Signal Process. 58(12): 6040-6051 (2010) - [c2]Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier, François Mariette:
Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction. ICASSP 2010: 4154-4157
2000 – 2009
- 2009
- [c1]Emilie Chouzenoux, Saïd Moussaoui, Jérôme Idier:
A majorize-minimize line search algorithm for barrier function optimization. EUSIPCO 2009: 1379-1383
Coauthor Index
Victor Elvira
aka: Víctor Elvira
aka: Víctor Elvira
[j61] [j58] [c72] [j54] [j52] [j51] [j49] [j48] [c71] [c69] [i27] [i26] [j45] [j44] [j41] [j40] [c66] [c62] [c61] [i24] [i23] [i22] [i21] [i19] [c58] [c57] [c56] [c54] [i18] [i17] [j28] [j26] [j24] [j23] [c49] [c44] [c43] [i15] [j22] [j21] [j20] [j18] [c41] [c38] [c37] [c36] [i9] [j17] [c33] [c32] [c31] [c29] [c28] [i6] [i5] [j16] [j15] [j14] [c27] [c26] [i4] [i3] [j13] [j12] [j11] [c25] [c23] [i2] [j10] [j9] [c22] [c21] [c20] [c19] [i1] [j8] [j7] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [j5] [c10] [c7] [c6] [c5] [c3]
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