Emilie Chouzenoux
Orcid: 0000-0003-3631-6093Affiliations:
- Université, Paris-Saclay, Inria, CentraleSupélec, OPIS, CVN, Paris, France
According to our database1,
Emilie Chouzenoux
authored at least 149 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models.
J. Math. Imaging Vis., August, 2024
Optim. Lett., June, 2024
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework.
Signal Process., 2024
Signal Process., 2024
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
J. Frankl. Inst., November, 2023
J. Frankl. Inst., November, 2023
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework.
Expert Syst. Appl., October, 2023
Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction.
IEEE J. Biomed. Health Informatics, May, 2023
A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery.
J. Math. Imaging Vis., April, 2023
SIAM J. Imaging Sci., March, 2023
IEEE Trans. Image Process., 2023
Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density.
IEEE Trans. Computational Imaging, 2023
PENDANTSS: PEnalized Norm-Ratios Disentangling Additive Noise, Trend and Sparse Spikes.
IEEE Signal Process. Lett., 2023
GraphIT: Iterative reweighted 𝓁<sub>1</sub> algorithm for sparse graph inference in state-space models.
CoRR, 2023
A New Non-Convex Framework to Improve Asymptotical Knowledge on Generic Stochastic Gradient Descent.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Graphit: Iterative Reweighted ℓ1 Algorithm for Sparse Graph Inference in State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the 31st European Signal Processing Conference, 2023
2022
IEEE Trans. Signal Process., 2022
ACM Trans. Knowl. Discov. Data, 2022
Computational Prediction of Drug-Disease Association Based on Graph-Regularized One Bit Matrix Completion.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE Signal Process. Lett., 2022
Medical Image Anal., 2022
J. Optim. Theory Appl., 2022
DeepVir: Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning - Application to COVID-19.
J. Comput. Biol., 2022
Deep transform and metric learning network: Wedding deep dictionary learning and neural network.
Neurocomputing, 2022
Digit. Signal Process., 2022
Distributed algorithms for scalable proximity operator computation and application to video denoising.
Digit. Signal Process., 2022
A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models.
CoRR, 2022
Multiphoton Microscopy for Bacterial Imaging: A Label-free Solution Resting on Endogenous Two-photon Fluorescence.
Proceedings of the 10th International Conference on Photonics, Optics and Laser Technology, 2022
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Probabilistic Modeling and Inference for Sequential Space-Varying Blur Identification.
IEEE Trans. Computational Imaging, 2021
Fight the Pandemic: Highlights From the 2020 IEEE 5-Minute Video Clip Contest [SP Competitions].
IEEE Signal Process. Mag., 2021
Calibration-Less Multi-Coil Compressed Sensing Magnetic Resonance Image Reconstruction Based on OSCAR Regularization.
J. Imaging, 2021
Recurrent dictionary learning for state-space models with an application in stock forecasting.
Neurocomputing, 2021
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems.
Expert Syst. Appl., 2021
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Contrast-Enhanced Brain MRI Synthesis With Deep Learning: Key Input Modalities and Asymptotic Performance.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems.
Proceedings of the 29th European Signal Processing Conference, 2021
GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration.
Proceedings of the 29th European Signal Processing Conference, 2021
Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification.
Proceedings of the 29th European Signal Processing Conference, 2021
2020
IEEE Trans. Signal Process., 2020
SPOQ $\ell _p$-Over-$\ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry.
IEEE Trans. Signal Process., 2020
Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation.
Signal Process., 2020
J. Math. Imaging Vis., 2020
EURASIP J. Adv. Signal Process., 2020
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks.
CoRR, 2020
Block Distributed Majorize-Minimize Memory Gradient Algorithm and its application to 3D image restoration.
CoRR, 2020
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Graphem: EM Algorithm for Blind Kalman Filtering Under Graphical Sparsity Constraints.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
IEEE Signal Process. Lett., 2019
IEEE Signal Process. Lett., 2019
Signal Process. Image Commun., 2019
Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging.
J. Math. Imaging Vis., 2019
A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression.
Comput. Optim. Appl., 2019
A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019
2018
An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension.
Entropy, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 26th European Signal Processing Conference, 2018
2017
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation.
IEEE Trans. Signal Process., 2017
A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise.
IEEE Trans. Computational Imaging, 2017
Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences.
J. Math. Imaging Vis., 2017
Proceedings of the 25th European Signal Processing Conference, 2017
A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017
2016
IEEE Signal Process. Lett., 2016
IEEE J. Sel. Top. Signal Process., 2016
A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise.
CoRR, 2016
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Proximity operators for a class of hybrid sparsity + entropy priors application to dosy NMR signal reconstruction.
Proceedings of the International Symposium on Signal, Image, Video and Communications, 2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ<sub>1</sub>/ℓ<sub>2</sub> Regularization.
IEEE Signal Process. Lett., 2015
SIAM J. Imaging Sci., 2015
CoRR, 2015
A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection.
Proceedings of the 23rd European Signal Processing Conference, 2015
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Fast Constrained Least Squares Spectral Unmixing Using Primal-Dual Interior-Point Optimization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Signal Process., 2014
Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function.
J. Optim. Theory Appl., 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Primal-dual interior-point optimization based on majorization-minimization for edge-preserving spectral unmixing.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 19th International Conference on Digital Signal Processing, 2014
Proceedings of the 10th International Conference on Communications, 2014
A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems.
Proceedings of the IEEE International Conference on Acoustics, 2014
Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery.
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Algorithme primal-dual de points intérieurs pour l'estimation pénalisée des cartes d'abondances en imagerie hyperspectrale.
Traitement du Signal, 2013
A Majorize-Minimize Subspace Approach for ℓ<sub>2</sub>-ℓ<sub>0</sub> Image Regularization.
SIAM J. Imaging Sci., 2013
Generalized multivariate exponential power prior for wavelet-based multichannel image restoration.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Primal-dual interior point optimization for a regularized reconstruction of NMR relaxation time distributions.
Proceedings of the IEEE International Conference on Acoustics, 2013
A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI.
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Primal dual interior point optimization for penalized least squares estimation of abundance maps in hyperspectral imaging.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012
A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
IEEE Trans. Image Process., 2011
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille.
Traitement du Signal, 2011
A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra.
IEEE Trans. Signal Process., 2010
Optimization of a maximum entropy criterion for 2D Nuclear Magnetic Resonance reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Proceedings of the 17th European Signal Processing Conference, 2009