Émilie Chouzenoux

Orcid: 0000-0003-3631-6093

According to our database1, Émilie Chouzenoux authored at least 140 papers between 2009 and 2023.

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Bibliography

2023
Special issue on non-deterministic machine learning.
J. Frankl. Inst., November, 2023

Efficient bayes inference in neural networks through adaptive importance sampling.
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

Gradient-based adaptive importance samplers.
J. Frankl. Inst., September, 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

Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch.
SIAM J. Imaging Sci., March, 2023

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution.
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

Deep State-Space Model for Predicting Cryptocurrency Price.
CoRR, 2023

Aggregated f-average Neural Network for Interpretable Ensembling.
CoRR, 2023

Majorization-Minimization for sparse SVMs.
CoRR, 2023

Graphs in State-Space Models for Granger Causality in Climate Science.
CoRR, 2023

Sparse Graphical Linear Dynamical Systems.
CoRR, 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

Adaptive Simulated Annealing Through Alternating Rényi Divergence Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Proximal Approach to IVA-G with Convergence Guarantees.
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

Stability of Unfolded Forward-Backward to Perturbations in Observed Data.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Graphical Inference in Linear-Gaussian State-Space Models.
IEEE Trans. Signal Process., 2022

Optimized Population Monte Carlo.
IEEE Trans. Signal Process., 2022

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring.
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

Unmatched Preconditioning of the Proximal Gradient Algorithm.
IEEE Signal Process. Lett., 2022

A Novel Task-Based reconstruction approach for digital breast tomosynthesis.
Medical Image Anal., 2022

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm.
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

Binary matrix completion on graphs: Application to collaborative filtering.
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

A Bregman Majorization-Minimization Framework for Pet Image Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Convolutional K-Means Clustering.
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

Proximal-Based Adaptive Simulated Annealing for Global Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2022

A CNC approach for Directional Total Variation.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Transformed Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 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

Simulated Annealing: a Review and a New Scheme.
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

Lightweight U-Net For Lesion Segmentation In Ultrasound Images.
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

Deep Transform and Metric Learning Networks.
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
Majorize-Minimize Adapted Metropolis-Hastings Algorithm.
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

Deep latent factor model for collaborative filtering.
Signal Process., 2020

Deeply transformed subspace clustering.
Signal Process., 2020

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation.
Signal Process., 2020

A Proximal Interior Point Algorithm with Applications to Image Processing.
J. Math. Imaging Vis., 2020

DeConFuse: a deep convolutional transform-based unsupervised fusion framework.
EURASIP J. Adv. Signal Process., 2020

Deep Convolutional Transform Learning - Extended version.
CoRR, 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

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Convolutional Transform Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Block Distributed 3MG Algorithm and its Application to 3D Image Restoration.
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

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch.
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
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images.
IEEE Signal Process. Lett., 2019

A Probabilistic Incremental Proximal Gradient Method.
IEEE Signal Process. Lett., 2019

An alternating proximal approach for blind video deconvolution.
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

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Latent Factor Model for Predicting Drug Target Interactions.
Proceedings of the IEEE International Conference on Acoustics, 2019

Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte Carlo.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension.
Proceedings of the 27th European Signal Processing Conference, 2019

Particle Filtering for Online Space-Varying Blur Identification.
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

Deep Unfolding of a Proximal Interior Point Method for Image Restoration.
CoRR, 2018

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy.
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

Convolutional Transform Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Multicore Convex Optimization Algorithm with Applications to Video Restoration.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast Dictionary-Based Approach for Mass Spectrometry Data Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A Nonconvex Variational Approach for Robust Graphical Lasso.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Transformed Locally Linear Manifold Clustering.
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

A two-stage subspace trust region approach for deep neural network training.
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
Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm.
IEEE Signal Process. Lett., 2016

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing.
IEEE J. Sel. Top. Signal Process., 2016

A block coordinate variable metric forward-backward algorithm.
J. Glob. Optim., 2016

A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise.
CoRR, 2016

An auxiliary variable method for Langevin based MCMC algorithms.
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

A block parallel majorize-minimize memory gradient algorithm.
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

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood.
SIAM J. Imaging Sci., 2015

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing.
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

A distributed strategy for computing proximity operators.
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

A Majorize-Minimize Memory Gradient method for complex-valued inverse problems.
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

A nonconvex regularized approach for phase retrieval.
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

A multi-parameter optimization approach for complex continuous sparse modelling.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Cramer-Rao bound for a sparse complex model.
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

A stochastic 3MG algorithm with application to 2D filter identification.
Proceedings of the 22nd European Signal Processing Conference, 2014

A hybrid alternating proximal method for blind video restoration.
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

A majorize-minimize memory gradient algorithm applied to X-ray tomography.
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
A Majorize-Minimize Strategy for Subspace Optimization Applied to Image Restoration.
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
A majorize-minimize line search algorithm for barrier function optimization.
Proceedings of the 17th European Signal Processing Conference, 2009


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