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Nelly Pustelnik
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2020 – today
- 2024
- [j34]Guillaume Lauga, Elisa Riccietti
, Nelly Pustelnik, Paulo Gonçalves:
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration. SIAM J. Imaging Sci. 17(3): 1347-1376 (2024) - [j33]Luis M. Briceño-Arias
Infimal post-composition approach for composite convex optimization applied to image restoration. Signal Process. 223: 109549 (2024) - [j32]Clara Lage
Space-Scale Hybrid Continuous-Discrete Sliding Frank-Wolfe Method. IEEE Signal Process. Lett. 31: 830-834 (2024) - [j31]Hoang Trieu Vy Le
Unfolded Proximal Neural Networks for Robust Image Gaussian Denoising. IEEE Trans. Image Process. 33: 4475-4487 (2024) - [c45]Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella:
Equivariant Plug-and-Play Image Reconstruction. CVPR 2024: 25255-25264 - [c44]Leo Davy, Nelly Pustelnik, Patrice Abry:
Restart Strategies Enabling Automatic Differentiation for Hyperparameter Tuning in Inverse Problems. EUSIPCO 2024: 1811-1815 - [c43]Guillaume Lauga, Audrey Repetti, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves, Yves Wiaux:
A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. EUSIPCO 2024: 2287-2291 - [c42]E. Chappon, Nelly Pustelnik, J. Tachella, Laurence Denneulin, A. Ferrari, Maud Langlois:
From Linear to Nonlinear Unfolded Condat-Vú Algorithm for Spectro-Polarimetric Hight-Constrast Image Recovery. EUSIPCO 2024: 2347-2351 - [c41]Nizar Bousselmi, Nelly Pustelnik, Julien M. Hendrickx, François Glineur:
Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. EUSIPCO 2024: 2647-2651 - 2023
- [j30]Luis M. Briceño-Arias
Theoretical and numerical comparison of first order algorithms for cocoercive equations and smooth convex optimization. Signal Process. 206: 108900 (2023) - [j29]Charles-Gérard Lucas
Hyperparameter selection for Discrete Mumford-Shah. Signal Image Video Process. 17(5): 1897-1904 (2023) - [j28]Gersende Fort
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. IEEE Trans. Signal Process. 71: 888-900 (2023) - [c40]Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Proximal-Langevin Samplers for Nonsmooth Composite Posteriors: Application to the Estimation of Covid19 Reproduction Number. EUSIPCO 2023: 1813-1817 - [c39]Leo Davy, Nelly Pustelnik, Patrice Abry:
Combining Dual-Tree Wavelet Analysis and Proximal Optimization for Anisotropic Scale-Free Texture Segmentation. ICASSP 2023: 1-5 - [c38]Guillaume Lauga, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves:
Multilevel FISTA for Image Restoration. ICASSP 2023: 1-5 - [c37]Nelly Pustelnik:
On The Primal and Dual Formulations Of The Discrete Mumford-Shah Functional. ICASSP 2023: 1-5 - [i17]Hoang Trieu Vy Le, Audrey Repetti, Nelly Pustelnik:
PNN: From proximal algorithms to robust unfolded image denoising networks and Plug-and-Play methods. CoRR abs/2308.03139 (2023) - [i16]Matthieu Terris, Thomas Moreau, Nelly Pustelnik, Julián Tachella:
Equivariant plug-and-play image reconstruction. CoRR abs/2312.01831 (2023) - 2022
- [j27]Mingyuan Jiu
Alternative Design of DeepPDNet in the Context of Image Restoration. IEEE Signal Process. Lett. 29: 932-936 (2022) - [j26]Hoang Trieu Vy Le
Proximal Based Strategies for Solving Discrete Mumford-Shah With Ambrosio-Tortorelli Penalization on Edges. IEEE Signal Process. Lett. 29: 952-956 (2022) - [j25]Luis M. Briceño-Arias
Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture Segmentation. IEEE Signal Process. Lett. 29: 1337-1341 (2022) - [j24]Barbara Pascal
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. 70: 2859-2868 (2022) - [c36]Patrice Abry, Gersende Fort, Barbara Pascal, Nelly Pustelnik:
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling. EMBC 2022: 167-170 - [c35]Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare:
The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. EUSIPCO 2022: 947-951 - [c34]Hugo Artigas, Barbara Pascal, Gersende Fort, Patrice Abry, Nelly Pustelnik:
Credibility interval Design for Covid19 Reproduction Number from Nonsmooth Langevin-type Monte Carlo sampling. EUSIPCO 2022: 2196-2200 - [i15]Mingyuan Jiu, Nelly Pustelnik:
Alternative design of DeepPDNet in the context of image restoration. CoRR abs/2202.09810 (2022) - [i14]Gersende Fort, Barbara Pascal, Patrice Abry, Nelly Pustelnik:
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers. CoRR abs/2203.09142 (2022) - 2021
- [b2]Nelly Pustelnik:
Approches variationnelles régularisées pour la résolution de problèmes inverses et pour l'apprentissage machine : de la modéisation aux algorithmes à grande échelle. École normale supérieure de Lyon, France, 2021 - [j23]Barbara Pascal
Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation. J. Math. Imaging Vis. 63(7): 923-952 (2021) - [j22]Mingyuan Jiu
A Deep Primal-Dual Proximal Network for Image Restoration. IEEE J. Sel. Top. Signal Process. 15(2): 190-203 (2021) - 2020
- [j21]Barbara Pascal
Parameter-free and fast nonlinear piecewise filtering: application to experimental physics. Ann. des Télécommunications 75(11): 655-671 (2020) - [j20]Marion Foare, Nelly Pustelnik, Laurent Condat
Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model. IEEE Trans. Image Process. 29: 2176-2189 (2020) - [j19]Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Lin Qi, Philippe Ricoux:
Sparse Hierarchical Interaction Learning with Epigraphical Projection. J. Signal Process. Syst. 92(7): 637-654 (2020) - [c33]Barbara Pascal, Vincent Mauduit, Nelly Pustelnik, Patrice Abry:
Scale-free Texture Segmentation: Expert Feature-based versus Deep Learning strategies. EUSIPCO 2020: 1367-1371 - [i13]Barbara Pascal, Samuel Vaiter, Nelly Pustelnik, Patrice Abry:
Automated data-driven selection of the hyperparameters for Total-Variation based texture segmentation. CoRR abs/2004.09434 (2020) - [i12]Mingyuan Jiu, Nelly Pustelnik:
A deep primal-dual proximal network for image restoration. CoRR abs/2007.00959 (2020) - [i11]Laurence Denneulin
Primal-dual splitting scheme with backtracking for handling with epigraphic constraint and sparse analysis regularization. CoRR abs/2009.03576 (2020)
2010 – 2019
- 2019
- [j18]Yacouba Kaloga, Marion Foare
Discrete Mumford-Shah on Graph for Mixing Matrix Estimation. IEEE Signal Process. Lett. 26(9): 1275-1279 (2019) - [i10]Raimon Fabregat, Nelly Pustelnik, Paulo Gonçalves, Pierre Borgnat:
Solving NMF with smoothness and sparsity constraints using PALM. CoRR abs/1910.14576 (2019) - 2018
- [c32]Barbara Pascal, Nelly Pustelnik, Patrice Abry, Jean-Christophe Pesquet:
Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. ICASSP 2018: 1253-1257 - [c31]Marion Foare, Nelly Pustelnik, Laurent Condat
A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model. ICASSP 2018: 1553-1557 - [c30]Barbara Pascal, Nelly Pustelnik, Patrice Abry, Marion Serres, Valérie Vidal:
Joint Estimation of Local Variance and Local Regularity for Texture Segmentation. Application to Multiphase Flow Characterization. ICIP 2018: 2092-2096 - [c29]Mingyuan Jiu, Nelly Pustelnik, Lin Qi:
Multiclass SVM with Hierarchical Interaction: Application to Face Classification. MLSP 2018: 1-6 - 2017
- [j17]Nelly Pustelnik, Laurent Condat
Proximity Operator of a Sum of Functions; Application to Depth Map Estimation. IEEE Signal Process. Lett. 24(12): 1827-1831 (2017) - [j16]Jirí Spilka
Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification. IEEE J. Biomed. Health Informatics 21(3): 664-671 (2017) - [j15]Gabriel Michau
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. IEEE Trans. Signal Inf. Process. over Networks 3(1): 104-113 (2017) - [j14]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt
Bayesian Selection for the ℓ2-Potts Model Regularization Parameter: 1-D Piecewise Constant Signal Denoising. IEEE Trans. Signal Process. 65(19): 5215-5224 (2017) - [c28]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt
Bayesian-driven criterion to automatically select the regularization parameter in the ℓ1-Potts model. ICASSP 2017: 3839-3843 - [i9]Mingyuan Jiu, Nelly Pustelnik, Stefan Janaqi, Mériam Chèbre, Philippe Ricoux:
Sparse hierarchical interaction learning with epigraphical projection. CoRR abs/1705.07817 (2017) - 2016
- [j13]Nelly Pustelnik
Combining Local Regularity Estimation and Total Variation Optimization for Scale-Free Texture Segmentation. IEEE Trans. Computational Imaging 2(4): 468-479 (2016) - [j12]Jordan Frécon, Nelly Pustelnik, Patrice Abry
On-The-Fly Approximation of Multivariate Total Variation Minimization. IEEE Trans. Signal Process. 64(9): 2355-2364 (2016) - [j11]Jordan Frécon
Non-Linear Wavelet Regression and Branch & Bound Optimization for the Full Identification of Bivariate Operator Fractional Brownian Motion. IEEE Trans. Signal Process. 64(15): 4040-4049 (2016) - [c27]Jordan Frécon, Romain Fontugne, Gustavo Didier, Nelly Pustelnik, Kensuke Fukuda, Patrice Abry
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 2016: 4184-4188 - [c26]Jordan Frécon, Nelly Pustelnik, Herwig Wendt
Multifractal-based texture segmentation using variational procedure. IVMSP 2016: 1-5 - [c25]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet:
Random primal-dual proximal iterations for sparse multiclass SVM. MLSP 2016: 1-6 - [c24]Mingyuan Jiu, Nelly Pustelnik, Mériam Chèbre, Stefan Janaqi, Philippe Ricoux:
Multiclass SVM with graph path coding regularization for face classification. MLSP 2016: 1-6 - [i8]Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung:
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. CoRR abs/1604.00391 (2016) - [i7]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Bayesian selection for the regularization parameter in TVl0 denoising problems. CoRR abs/1608.07739 (2016) - 2015
- [j10]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical projection and proximal tools for solving constrained convex optimization problems. Signal Image Video Process. 9(8): 1737-1749 (2015) - [c23]Patrick Flandrin, Nelly Pustelnik, Pierre Borgnat
On Wigner-based sparse time-frequency distributions. CAMSAP 2015: 65-68 - [c22]Roberto F. Leonarduzzi, Jirí Spilka, Jordan Frécon, Herwig Wendt
P-leader multifractal analysis and sparse SVM for intrapartum fetal acidosis detection. EMBC 2015: 1971-1974 - [c21]Jirí Spilka, Jordan Frécon, Roberto F. Leonarduzzi, Nelly Pustelnik, Patrice Abry
Intrapartum fetal heart rate classification from trajectory in Sparse SVM feature space. EMBC 2015: 2335-2338 - [c20]Jeremy Schmitt, Ernesto Home, Nelly Pustelnik, Sylvain Joubaud, Philippe Odier:
An improved variational mode decomposition method for internal waves separation. EUSIPCO 2015: 1935-1939 - [c19]Gabriel Michau, Pierre Borgnat
Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts. ICASSP 2015: 5480-5484 - [c18]Jordan Frécon, Nelly Pustelnik, Herwig Wendt
Multivariate optimization for multifractal-based texture segmentation. ICIP 2015: 4957-4961 - [i6]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A Proximal Approach for Sparse Multiclass SVM. CoRR abs/1501.03669 (2015) - [i5]Nelly Pustelnik, Herwig Wendt, Patrice Abry, Nicolas Dobigeon:
Local regularity, wavelet leaders and total variation based procedures for texture segmentation. CoRR abs/1504.05776 (2015) - [i4]Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat:
On-the-fly Approximation of Multivariate Total Variation Minimization. CoRR abs/1504.05854 (2015) - 2014
- [j9]Yannick Berthoumieu, Charles Dossal, Nelly Pustelnik, Philippe Ricoux, Flavius Turcu:
An Evaluation of the Sparsity Degree for Sparse Recovery with Deterministic Measurement Matrices. J. Math. Imaging Vis. 48(2): 266-278 (2014) - [j8]Nelly Pustelnik, Pierre Borgnat
Empirical mode decomposition revisited by multicomponent non-smooth convex optimization. Signal Process. 102: 313-331 (2014) - [j7]Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat
2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis. IEEE Trans. Image Process. 23(12): 5233-5248 (2014) - [j6]Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. IEEE Trans. Image Process. 23(12): 5531-5544 (2014) - [c17]Jordan Frécon, Nelly Pustelnik, Nicolas Dobigeon, Herwig Wendt, Patrice Abry:
Hybrid bayesian variational scheme to handle parameter selection in total variation signal denoising. EUSIPCO 2014: 1716-1720 - [c16]Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat
2D Hilbert-Huang Transform. ICASSP 2014: 5377-5381 - [c15]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical proximal projection for sparse multiclass SVM. ICASSP 2014: 8312-8316 - [c14]Nelly Pustelnik, Patrice Abry
Inverse problem formulation for regularity estimation in images. ICIP 2014: 6081-6085 - [c13]Laurent Condat, Jérôme Boulanger, Nelly Pustelnik, Souleymen Sahnoun, Lucie Sengmanivong:
A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy. ISBI 2014: 604-607 - [c12]Jérôme Boulanger, Nelly Pustelnik, Laurent Condat:
Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy. ISBI 2014: 995-998 - [i3]Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR abs/1403.5403 (2014) - 2013
- [c11]Nicoletta Saulig, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Victor Sucic:
Instantaneous counting of components in nonstationary signals. EUSIPCO 2013: 1-5 - [c10]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. ICASSP 2013: 1359-1363 - [c9]Nelly Pustelnik, Herwig Wendt
Local regularity for texture segmentation: Combining wavelet leaders and proximal minimization. ICASSP 2013: 5348-5352 - 2012
- [j5]Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. IEEE Trans. Signal Process. 60(2): 968-973 (2012) - [c8]Nelly Pustelnik, Charles Dossal, Flavius Turcu, Yannick Berthoumieu, Philippe Ricoux:
A greedy algorithm to extract sparsity degree for ℓ1/ℓ0-equivalence in a deterministic context. EUSIPCO 2012: 859-863 - [c7]Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin:
A multicomponent proximal algorithm for Empirical Mode Decomposition. EUSIPCO 2012: 1880-1884 - [c6]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A proximal approach for constrained cosparse modelling. ICASSP 2012: 3433-3436 - [i2]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I. CoRR abs/1210.5844 (2012) - 2011
- [j4]Luis M. Briceño-Arias
Proximal Algorithms for Multicomponent Image Recovery Problems. J. Math. Imaging Vis. 41(1-2): 3-22 (2011) - [j3]Lotfi Chaâri
OPTIMED : optimisation itérative pour la résolution de problèmes inverses de grande taille. Traitement du Signal 28(3-4): 329-374 (2011) - [j2]Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. IEEE Trans. Image Process. 20(9): 2450-2462 (2011) - [i1]Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. CoRR abs/1105.5275 (2011) - 2010
- [b1]Nelly Pustelnik:
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). University of Paris-Est, France, 2010 - [c5]Nelly Pustelnik, Jean-Christophe Pesquet, Caroline Chaux:
Proximal methods for image restoration using a class of non-tight frame representations. EUSIPCO 2010: 611-615 - [c4]Luis M. Briceño-Arias
Proximal method for geometry and texture image decomposition. ICIP 2010: 2721-2724
2000 – 2009
- 2009
- [j1]Caroline Chaux, Jean-Christophe Pesquet, Nelly Pustelnik:
Nested Iterative Algorithms for Convex Constrained Image Recovery Problems. SIAM J. Imaging Sci. 2(2): 730-762 (2009) - [c3]Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
Hybrid regularization for data restoration in the presence of Poisson noise. EUSIPCO 2009: 1394-1398 - [c2]Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise. ICASSP 2009: 701-704 - 2008
- [c1]Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet:
A constrained forward-backward algorithm for image recovery problems. EUSIPCO 2008: 1-5
Coauthor Index
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