Nelly Pustelnik

106 papers A* 1B 4Misc 14Journal 57Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multilevel Plug-and-Play Image Restoration. IEEE Trans. Computational Imaging Nils Laurent, Julián Tachella, Elisa Riccietti, Nelly Pustelnik
2025	J	`jnl`	A new initialisation to Control Gradients in Sinusoidal Neural network. CoRR Andrea Combette, Antoine Venaille, Nelly Pustelnik
2025	J	`jnl`	Embedding Blake-Zisserman Regularization in Unfolded Proximal Neural Networks for Enhanced Edge Detection. IEEE Signal Process. Lett. Hoang Trieu Vy Le, Marion Foare, Audrey Repetti, Nelly Pustelnik
2025	J	`jnl`	Identifying a Piecewise Affine Signal From Its Nonlinear Observation - Application to DNA Replication Analysis. IEEE Trans. Signal Process. Clara Lage, Nelly Pustelnik, Jean-Michel Arbona, Benjamin Audit, Rémi Gribonval
2025	—	`conf`	Post-Composition Primal-Dual Algorithm for Texture, Geometry, and Noise Separation. EUSIPCO Adrien Meynard, Nelly Pustelnik, Luis M. Briceño-Arias, Sylvain Meignen
2025	J	`jnl`	Restarted contractive operators to learn at equilibrium. CoRR Leo Davy, Luis M. Briceño-Arias, Nelly Pustelnik
2025	—	`conf`	Unfolded Discrete Mumford-Shah Functional for Joint Image Denoising and Edge Detection. EUSIPCO Hoang Trieu Vy Le, Marion Foare, Audrey Repetti, Nelly Pustelnik
2025	J	`jnl`	Variational Image Regularisation in the Era of Deep Learning: From Model-Based to Deep Priors and Back. J. Math. Imaging Vis. Alessandro Benfenati, Luca Calatroni, Pasquale Cascarano, Nelly Pustelnik, Audrey Repetti, Yu Sun
2024	—	`conf`	A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. EUSIPCO Guillaume Lauga, Audrey Repetti, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves, Yves Wiaux
2024	—	`conf`	Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. EUSIPCO Nizar Bousselmi, Nelly Pustelnik, Julien M. Hendrickx, François Glineur
2024	A*	`conf`	Equivariant Plug-and-Play Image Reconstruction. CVPR Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella
2024	—	`conf`	From Linear to Nonlinear Unfolded Condat-Vú Algorithm for Spectro-Polarimetric Hight-Constrast Image Recovery. EUSIPCO E. Chappon, Nelly Pustelnik, Julián Tachella, Laurence Denneulin, A. Ferrari, Maud Langlois
2024	J	`jnl`	IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration. SIAM J. Imaging Sci. Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves
2024	J	`jnl`	Infimal post-composition approach for composite convex optimization applied to image restoration. Signal Process. Luis M. Briceño-Arias, Nelly Pustelnik
2024	—	`conf`	Restart Strategies Enabling Automatic Differentiation for Hyperparameter Tuning in Inverse Problems. EUSIPCO Leo Davy, Nelly Pustelnik, Patrice Abry
2024	J	`jnl`	Space-Scale Hybrid Continuous-Discrete Sliding Frank-Wolfe Method. IEEE Signal Process. Lett. Clara Lage, Nelly Pustelnik, Jean-Michel Arbona, Benjamin Audit
2024	J	`jnl`	Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. IEEE Trans. Image Process. Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik
2023	Misc	`conf`	Combining Dual-Tree Wavelet Analysis and Proximal Optimization for Anisotropic Scale-Free Texture Segmentation. ICASSP Leo Davy, Nelly Pustelnik, Patrice Abry
2023	J	`jnl`	Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. IEEE Trans. Signal Process. Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
2023	J	`jnl`	Equivariant plug-and-play image reconstruction. CoRR Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella
2023	J	`jnl`	Hyperparameter selection for Discrete Mumford-Shah. Signal Image Video Process. Charles-Gérard Lucas, Barbara Pascal, Nelly Pustelnik, Patrice Abry
2023	Misc	`conf`	Multilevel FISTA for Image Restoration. ICASSP Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves
2023	Misc	`conf`	On The Primal and Dual Formulations Of The Discrete Mumford-Shah Functional. ICASSP Nelly Pustelnik
2023	J	`jnl`	PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. CoRR Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik
2023	—	`conf`	Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. EUSIPCO Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
2023	J	`jnl`	Theoretical and numerical comparison of first order algorithms for cocoercive equations and smooth convex optimization. Signal Process. Luis M. Briceño-Arias, Nelly Pustelnik
2022	J	`jnl`	Alternative Design of DeepPDNet in the Context of Image Restoration. IEEE Signal Process. Lett. Mingyuan Jiu, Nelly Pustelnik
2022	J	`jnl`	Alternative design of DeepPDNet in the context of image restoration. CoRR Mingyuan Jiu, Nelly Pustelnik
2022	J	`jnl`	Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture Segmentation. IEEE Signal Process. Lett. Luis M. Briceño-Arias, Nelly Pustelnik
2022	J	`jnl`	Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. CoRR Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik
2022	—	`conf`	Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. EUSIPCO Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik
2022	J	`jnl`	Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. Barbara Pascal, Patrice Abry, Nelly Pustelnik, Stéphane G. Roux, Rémi Gribonval, Patrick Flandrin
2022	J	`jnl`	Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges. IEEE Signal Process. Lett. Hoang Trieu Vy Le, Marion Foare, Nelly Pustelnik
2022	—	`conf`	Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. EMBC Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik
2022	—	`conf`	The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. EUSIPCO Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare
2021	J	`jnl`	A Deep Primal-Dual Proximal Network for Image Restoration. IEEE J. Sel. Top. Signal Process. Mingyuan Jiu, Nelly Pustelnik
2021	—	`book`	Approches variationnelles régularisées pour la résolution de problèmes inverses et pour l'apprentissage machine : de la modéisation aux algorithmes à grande échelle. Nelly Pustelnik
2021	J	`jnl`	Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation. J. Math. Imaging Vis. Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry
2020	J	`jnl`	A deep primal-dual proximal network for image restoration. CoRR Mingyuan Jiu, Nelly Pustelnik
2020	J	`jnl`	Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation. CoRR Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry
2020	J	`jnl`	Parameter-free and fast nonlinear piecewise filtering: application to experimental physics. Ann. des Télécommunications Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Géminard, Valérie Vidal
2020	J	`jnl`	Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization. CoRR Laurence Denneulin, Nelly Pustelnik, Maud Langlois, Ignace Loris, Éric Thiébaut
2020	—	`conf`	Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies. EUSIPCO Barbara Pascal, Vincent Mauduit, Nelly Pustelnik, Patrice Abry
2020	J	`jnl`	Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model. IEEE Trans. Image Process. Marion Foare, Nelly Pustelnik, Laurent Condat
2020	J	`jnl`	Sparse Hierarchical Interaction Learning with Epigraphical Projection. J. Signal Process. Syst. Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Lin Qi, Philippe Ricoux
2019	J	`jnl`	Discrete Mumford-Shah on Graph for Mixing Matrix Estimation. IEEE Signal Process. Lett. Yacouba Kaloga, Marion Foare, Nelly Pustelnik, Pablo Jensen
2019	J	`jnl`	Solving NMF with smoothness and sparsity constraints using PALM. CoRR Raimon Fabregat, Nelly Pustelnik, Paulo Gonçalves, Pierre Borgnat
2018	Misc	`conf`	A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model. ICASSP Marion Foare, Nelly Pustelnik, Laurent Condat
2018	Misc	`conf`	Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. ICASSP Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet
2018	B	`conf`	Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization. ICIP Barbara Pascal, Nelly Pustelnik, Patrice Abry, Marion Serres, Valérie Vidal
2018	—	`conf`	Multiclass SVM with Hierarchical Interaction: Application to Face Classification. MLSP Mingyuan Jiu, Nelly Pustelnik, Lin Qi
2017	J	`jnl`	A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. IEEE Trans. Signal Inf. Process. over Networks Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung
2017	J	`jnl`	Bayesian Selection for the ℓ IEEE Trans. Signal Process. Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
2017	Misc	`conf`	Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. ICASSP Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
2017	J	`jnl`	Proximity Operator of a Sum of Functions; Application to Depth Map Estimation. IEEE Signal Process. Lett. Nelly Pustelnik, Laurent Condat
2017	J	`jnl`	Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification. IEEE J. Biomed. Health Informatics Jirí Spilka, Jordan Frécon, Roberto F. Leonarduzzi, Nelly Pustelnik, Patrice Abry, Muriel Doret
2017	J	`jnl`	Sparse hierarchical interaction learning with epigraphical projection. CoRR Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Philippe Ricoux
2016	J	`jnl`	A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. CoRR Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung
2016	J	`jnl`	Bayesian selection for the regularization parameter in TVl0 denoising problems. CoRR Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
2016	J	`jnl`	Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. IEEE Trans. Computational Imaging Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon
2016	—	`conf`	Multiclass SVM with graph path coding regularization for face classification. MLSP Mingyuan Jiu, Nelly Pustelnik, Mériam Chèbre, Stefan Janaqi, Philippe Ricoux
2016	—	`conf`	Multifractal-based texture segmentation using variational procedure. IVMSP Jordan Frécon, Nelly Pustelnik, Herwig Wendt, Laurent Condat, Patrice Abry
2016	J	`jnl`	Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion. IEEE Trans. Signal Process. Jordan Frécon, Gustavo Didier, Nelly Pustelnik, Patrice Abry
2016	Misc	`conf`	Non-linear regression for bivariate self-similarity identification - application to anomaly detection in Internet traffic based on a joint scaling analysis of packet and byte counts. ICASSP Jordan Frécon, Romain Fontugne, Gustavo Didier, Nelly Pustelnik, Kensuke Fukuda, Patrice Abry
2016	J	`jnl`	On-The-Fly Approximation of Multivariate Total Variation Minimization. IEEE Trans. Signal Process. Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
2016	—	`conf`	Random primal-dual proximal iterations for sparse multiclass SVM. MLSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet
2015	J	`jnl`	A Proximal Approach for Sparse Multiclass SVM. CoRR Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2015	—	`conf`	An improved variational mode decomposition method for internal waves separation. EUSIPCO Jeremy Schmitt, Ernesto Home, Nelly Pustelnik, Sylvain Joubaud, Philippe Odier
2015	J	`jnl`	Epigraphical projection and proximal tools for solving constrained convex optimization problems. Signal Image Video Process. Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2015	Misc	`conf`	Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts. ICASSP Gabriel Michau, Pierre Borgnat, Nelly Pustelnik, Patrice Abry, Alfredo Nantes, Edward Chung
2015	—	`conf`	Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space. EMBC Jirí Spilka, Jordan Frécon, Roberto F. Leonarduzzi, Nelly Pustelnik, Patrice Abry, Muriel Doret
2015	J	`jnl`	Local regularity, wavelet leaders and total variation based procedures for texture segmentation. CoRR Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon
2015	B	`conf`	Multivariate optimization for multifractal-based texture segmentation. ICIP Jordan Frécon, Nelly Pustelnik, Herwig Wendt, Patrice Abry
2015	—	`conf`	On Wigner-based sparse time-frequency distributions. CAMSAP Patrick Flandrin, Nelly Pustelnik, Pierre Borgnat
2015	J	`jnl`	On-the-fly Approximation of Multivariate Total Variation Minimization. CoRR Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
2015	—	`conf`	P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection. EMBC Roberto F. Leonarduzzi, Jirí Spilka, Jordan Frécon, Herwig Wendt, Nelly Pustelnik, Stéphane Jaffard, Patrice Abry, Muriel Doret
2014	Misc	`conf`	2D Hilbert-Huang Transform. ICASSP Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin
2014	J	`jnl`	2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis. IEEE Trans. Image Process. Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Laurent Condat
2014	—	`conf`	A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy. ISBI Laurent Condat, Jérôme Boulanger, Nelly Pustelnik, Souleymen Sahnoun, Lucie Sengmanivong
2014	J	`jnl`	A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. IEEE Trans. Image Process. Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014	J	`jnl`	An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices. J. Math. Imaging Vis. Yannick Berthoumieu, Charles Dossal, Nelly Pustelnik, Philippe Ricoux, Flavius Turcu
2014	J	`jnl`	Empirical mode decomposition revisited by multicomponent non-smooth convex optimization. Signal Process. Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin
2014	Misc	`conf`	Epigraphical proximal projection for sparse multiclass SVM. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2014	—	`conf`	Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising. EUSIPCO Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry
2014	B	`conf`	Inverse problem formulation for regularity estimation in images. ICIP Nelly Pustelnik, Patrice Abry, Herwig Wendt, Nicolas Dobigeon
2014	—	`conf`	Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy. ISBI Jérôme Boulanger, Nelly Pustelnik, Laurent Condat
2013	Misc	`conf`	An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2013	—	`conf`	Instantaneous counting of components in nonstationary signals. EUSIPCO Nicoletta Saulig, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Victor Sucic
2013	Misc	`conf`	Local regularity for texture segmentation: Combining wavelet leaders and proximal minimization. ICASSP Nelly Pustelnik, Herwig Wendt, Patrice Abry
2012	—	`conf`	A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context. EUSIPCO Nelly Pustelnik, Charles Dossal, Flavius Turcu, Yannick Berthoumieu, Philippe Ricoux
2012	—	`conf`	A multicomponent proximal algorithm for Empirical Mode Decomposition. EUSIPCO Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin
2012	Misc	`conf`	A proximal approach for constrained cosparse modelling. ICASSP Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012	J	`jnl`	Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I CoRR Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012	J	`jnl`	Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. IEEE Trans. Signal Process. Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2011	J	`jnl`	OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal Lotfi Chaâri, Emilie Chouzenoux, Nelly Pustelnik, Caroline Chaux, Saïd Moussaoui
2011	J	`jnl`	Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. IEEE Trans. Image Process. Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2011	J	`jnl`	Proximal Algorithms for Multicomponent Image Recovery Problems. J. Math. Imaging Vis. Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2011	J	`jnl`	Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration CoRR Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2010	—	`—`	Méthodes proximales pour la résolution de problèmes inverses : application à la tomographie par émission de positrons. (Proximal methods for the resolution of inverse problems : application to positron emission tomography). Nelly Pustelnik
2010	B	`conf`	Proximal method for geometry and texture image decomposition. ICIP Luis M. Briceño-Arias, Patrick L. Combettes, Jean-Christophe Pesquet, Nelly Pustelnik
2010	—	`conf`	Proximal methods for image restoration using a class of non-tight frame representations. EUSIPCO Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux
2009	Misc	`conf`	A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise. ICASSP Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2009	—	`conf`	Hybrid regularization for data restoration in the presence of Poisson noise. EUSIPCO Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
2009	J	`jnl`	Nested Iterative Algorithms for Convex Constrained Image Recovery Problems. SIAM J. Imaging Sci. Caroline Chaux, Jean-Christophe Pesquet, Nelly Pustelnik
2008	—	`conf`	A constrained forward-backward algorithm for image recovery problems. EUSIPCO Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet