A hybrid image coder: adaptive intra-interframe prediction using motion compensation. - George Tziritas; Jean-Christophe Pesquet (ICASSP, 1989)

Modified LMS algorithms for robust ADPCM. - Jean-Christophe Pesquet; Georgios Tziritas; Odile Macchi (ICASSP, 1990)

Orthonormal wavelets for finite sequences. - Jean-Christophe Pesquet (ICASSP, 1992)

Predictive coding of images using an adaptive intra-frame predictor and motion compensation. - Georgios Tziritas; Jean-Christophe Pesquet (Signal Process. Image Commun., 1992)

Tracking nonstationarities with a wavelet transform. - Hamid Krim; Jean-Christophe Pesquet; K. Drouiche (ICASSP (1), 1993)

Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems. - Jean-Christophe Pesquet; Odile Macchi; Georgios Tziritas (Signal Process., 1993)

M-band wavelet decomposition of second order random processes. - Jean-Christophe Pesquet (ICASSP, 1995)

A grey scale morphological approach for displaced frame difference coding. - Frances Jane Hampson; Jean-Christophe Pesquet (ICIP, 1995)

Multiresolution analysis of a class of nonstationary processes. - Hamid Krim; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 1995)

Double tree decomposition of lung sounds. - E. Ademovic; Jean-Christophe Pesquet; G. Charbonneau (EUSIPCO, 1996)

Best basis segmentation of ECG signals using novel optimality criteria. - Dana H. Brooks; Hamid Krim; Jean-Christophe Pesquet; Robert S. MacLeod (ICASSP, 1996)

A nonlinear subband decomposition with perfect reconstruction. - Frances Jane Hampson; Jean-Christophe Pesquet (ICASSP, 1996)

Bayesian approach to best basis selection. - Jean-Christophe Pesquet; Hamid Krim; David Leporini; E. Hamman (ICASSP, 1996)

Pel-recursive motion estimation in the presence of illumination variations. - Frances Jane Hampson; R. E. H. Franich; Jean-Christophe Pesquet; Jan Biemond (ICIP (1), 1996)

Projection-based rank reduction algorithms for multichannel modelling and image compression. - Ioannis Dologlou; Jean-Christophe Pesquet; J. Skowronski (Signal Process., 1996)

Wavelet synthesis by alternating projections. - Jean-Christophe Pesquet; Patrick L. Combettes (IEEE Trans. Signal Process., 1996)

Time-invariant orthonormal wavelet representations. - Jean-Christophe Pesquet; Hamid Krim; Hervé Carfantan (IEEE Trans. Signal Process., 1996)

Independence/decorrelation measures with applications to optimized orthonormal representations. - Eric Moreau; Jean-Christophe Pesquet (ICASSP, 1997)

Generalized contrasts for multichannel blind deconvolution of linear systems. - Eric Moreau; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 1997)

Wavelet thresholding for a wide class of noise distributions. - David Leporini; Jean-Christophe Pesquet (EUSIPCO, 1998)

Nonlinear frame-like decompositions. - B. Pouye; Amel Benazza-Benyahia; Ilya Pollak; Jean-Christophe Pesquet; Hamid Krim (EUSIPCO, 1998)

Parsimony and wavelet methods for denoising. - Hamid Krim; Jean-Christophe Pesquet; Irvin C. Schick (ICASSP, 1998)

Nonlinear Multiresolution Image Analysis via Convex Projections. - Patrick L. Combettes; Jean-Christophe Pesquet (ICIP (2), 1998)

Convex Multiresolution Analysis. - Patrick L. Combettes; Jean-Christophe Pesquet (IEEE Trans. Pattern Anal. Mach. Intell., 1998)

M-band nonlinear subband decompositions with perfect reconstruction. - Frances Jane Hampson; Jean-Christophe Pesquet (IEEE Trans. Image Process., 1998)

Progressive and lossless image coding using optimized nonlinear subband decompositions. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (NSIP, 1999)

Bidimensional alpha-stable models with long-range dependence. - Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (NSIP, 1999)

Nonlinear methods for the identification of 2D models with long-range dependence. - Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (NSIP, 1999)

High-Order Wavelet Packets and Cumulant Field Analysis. - David Leporini; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 1999)

Nonlinear bank filters adapted for progressive and exact image reconstruction. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; A. Amara (EUSIPCO, 2000)

Multiplivative matching pursuit. - Amina Serir; Jean-Christophe Pesquet (ICASSP, 2000)

Motion estimation in the presence of illumination variations. - Frances Jane Hampson; Jean-Christophe Pesquet (Signal Process. Image Commun., 2000)

Power-law shot noise and its relationship to long-memory α-stable processes. - Athina P. Petropulu; Jean-Christophe Pesquet; Xueshi Yang (IEEE Trans. Signal Process., 2000)

Lossless coding for progressive archival of multispectral images. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Mohamed Hamdi (ICASSP, 2001)

Frequency-domain contrast functions for separation of convolutive mixtures. - Jean-Christophe Pesquet; Binning Chen; Athina P. Petropulu (ICASSP, 2001)

Estimating long-range dependence in impulsive traffic flows. - Xueshi Yang; Athina P. Petropulu; Jean-Christophe Pesquet (ICASSP, 2001)

Joint singular value decomposition - a new tool for separable representation of images. - Béatrice Pesquet-Popescu; Jean-Christophe Pesquet; Athina P. Petropulu (ICIP (2), 2001)

Bayesian wavelet denoising: Besov priors and non-Gaussian noises. - David Leporini; Jean-Christophe Pesquet (Signal Process., 2001)

Cumulant-based independence measures for linear mixtures. - Jean-Christophe Pesquet; Eric Moreau (IEEE Trans. Inf. Theory, 2001)

A block-based predictive lossless cod for quincunx multispectral images. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (EUSIPCO, 2002)

New contrasts for blind separation of non iid sources in the convolutive case. - Marc Castella; Jean-Christophe Pesquet; Athina P. Petropulu (EUSIPCO, 2002)

Wavelet-thresholding for bispectrum estimation. - Sami Touati; Jean-Christophe Pesquet (EUSIPCO, 2002)

A new interband multiwavelet decomposition for exact coding of multicomponent images. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Noura Azzabou (ICASSP, 2002)

Performance analysis of blind signal separation methods based on asymmetric contrast functions. - Jean-Christophe Pesquet; Eric Moreau; Nadège Thirion-Moreau (ICASSP, 2002)

Some Results on the Wavelet Packet Decomposition of Nonstationary Processes. - Sami Touati; Jean-Christophe Pesquet (EURASIP J. Adv. Signal Process., 2002)

A unifying framework for lossless and progressive image coding. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (Pattern Recognit., 2002)

Synthesis of bidimensional alpha-stable models with long-range dependence. - Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (Signal Process., 2002)

Long-range dependence and heavy-tail modeling for teletraffic data. - Olivier Cappé; Eric Moulines; Jean-Christophe Pesquet; Athina P. Petropulu; Xueshi Yang (IEEE Signal Process. Mag., 2002)

Vector-lifting schemes for lossless coding and progressive archival of multispectral images. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Mohamed Hamdi (IEEE Trans. Geosci. Remote. Sens., 2002)

Wavelet estimation of cyclospectra. - Sami Touati; Jean-Christophe Pesquet (ICASSP (6), 2003)

Total variation information in image recovery. - Patrick L. Combettes; Jean-Christophe Pesquet (ICIP (3), 2003)

Adapted vector-lifting schemes for multiband textured image coding. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; M. H. Gharbia (IGARSS, 2003)

Image deconvolution with total variation bounds. - Patrick L. Combettes; Jean-Christophe Pesquet (ISSPA (1), 2003)

A nonlinear diffusion-based three-band filter bank. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Hamid Krim (IEEE Signal Process. Lett., 2003)

An interscale multivariate map estimation of multispectral images. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (EUSIPCO, 2004)

Blind mimo detection of convolutively mixed CPM sources. - Marc Castella; Pascal Bianchi; Antoine Chevreuil; Jean-Christophe Pesquet (EUSIPCO, 2004)

Hilbert pairs of M-band orthonormal wavelet bases. - Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (EUSIPCO, 2004)

An Iterative Blind Source Separation Method for Convolutive Mixtures of Images. - Marc Castella; Jean-Christophe Pesquet (ICA, 2004)

An extended sure approach for multicomponent image denoising. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICASSP (2), 2004)

A quadratic MISO contrast function for blind equalization. - Marc Castella; Eric Moreau; Jean-Christophe Pesquet (ICASSP (2), 2004)

Constraint construction in convex set theoretic signal recovery via Stein's principle [image denoising example]. - Patrick L. Combettes; Jean-Christophe Pesquet (ICASSP (2), 2004)

Estimating first-order finite-difference information in image restoration problems. - Patrick L. Combettes; Jean-Christophe Pesquet (ICIP, 2004)

Redundant multiresolution analysis for multiple description video coding. - Teodora Petrisor; Christophe Tillier; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (MMSP, 2004)

Wavelet-Constrained Image Restoration. - Patrick L. Combettes; Jean-Christophe Pesquet (Int. J. Wavelets Multiresolution Inf. Process., 2004)

Image restoration subject to a total variation constraint. - Patrick L. Combettes; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2004)

A non-separable 2D complex modulated lapped transform and its applications to seismic data filtering. - Jérôme Gauthier; Laurent Duval; Jean-Christophe Pesquet (EUSIPCO, 2005)

Perfect reconstruction in reduced redundancy wavelet-based multiple description coding of images. - Teodora Petrisor; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (EUSIPCO, 2005)

Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics. - Marc Castella; Saloua Rhioui; Eric Moreau; Jean-Christophe Pesquet (ICASSP (3), 2005)

2D dual-tree M-band wavelet decomposition. - Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (ICASSP (4), 2005)

Comparison of redundant wavelet schemes for multiple description coding of video sequences. - Teodora Petrisor; Christophe Tillier; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (ICASSP (5), 2005)

An embedded coder for multispectral image compression based on vector lifting structures. - Jamel Hattay; Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICECS, 2005)

Wavelet-based multiple description coding of images with iterative convex optimization techniques. - Teodora Petrisor; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (ICIP (3), 2005)

Building robust wavelet estimators for multicomponent images using Stein's principle. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2005)

A family of frequency- and time-domain contrasts for blind separation of convolutive mixtures of temporally dependent signals. - Marc Castella; Jean-Christophe Pesquet; Athina P. Petropulu (IEEE Trans. Signal Process., 2005)

Disparity Map Estimation Using A Total Variation Bound. - Wided Miled; Jean-Christophe Pesquet (CRV, 2006)

Multichannel image deconvolution in the Wavelet Transform domain. - Amel Benazza-Benyahia; Jean-Christophe Pesquet (EUSIPCO, 2006)

Iterative image deconvolution using overcomplete representations. - Caroline Chaux; Patrick L. Combettes; Jean-Christophe Pesquet; Valérie R. Wajs (EUSIPCO, 2006)

Wavelet-constrained regularization for disparity map estimation. - Wided Miled; Jean-Christophe Pesquet; Michel Parent (EUSIPCO, 2006)

A Decomposition Method for Nonsmooth Convex Variational Signal Recovery. - Heinz H. Bauschke; Patrick L. Combettes; Jean-Christophe Pesquet (ICASSP (5), 2006)

A New Estimator for Image Denoising Using a 2D Dual-Tree M-Band Wavelet Decomposition. - Caroline Chaux; Laurent Duval; Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICASSP (3), 2006)

Low Redundancy Oversampled Lapped Transforms and Application to 3D Seismic Data Filtering. - Jérôme Gauthier; Laurent Duval; Jean-Christophe Pesquet (ICASSP (2), 2006)

A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter. - Marc Castella; Pascal Bianchi; Antoine Chevreuil; Jean-Christophe Pesquet (Signal Process., 2006)

Image analysis using a dual-tree M-band wavelet transform. - Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2006)

Robust Obstacle Detection Based on Dense Disparity Maps. - Wided Miled; Jean-Christophe Pesquet; Michel Parent (EUROCAST, 2007)

Sparse signal recovery by iterative proximal thresholding. - Patrick L. Combettes; Jean-Christophe Pesquet (EUSIPCO, 2007)

Lifting schemes for joint coding of stereoscopic pairs of satellite images). - Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (EUSIPCO, 2007)

2D Dual-Tree Complex Biorthogonal M-Band Wavelet Transform. - Caroline Chaux; Jean-Christophe Pesquet; Laurent Duval (ICASSP (3), 2007)

Oversampled Inverse Complex Lapped Transform Optimization. - Jérôme Gauthier; Laurent Duval; Jean-Christophe Pesquet (ICASSP (1), 2007)

A Compressed Sensing Approach to Frame-Based Multiple Description Coding. - Teodora Petrisor; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (ICASSP (2), 2007)

Block-Based Adaptive Vector Lifting Schemes for Multichannel Image Coding. - Amel Benazza-Benyahia; Jean-Christophe Pesquet; Jamel Hattay; Hela Masmoudi (EURASIP J. Image Video Process., 2007)

A Douglas-Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery. - Patrick L. Combettes; Jean-Christophe Pesquet (J. Sel. Topics Signal Processing, 2007)

Proximal Thresholding Algorithm for Minimization over Orthonormal Bases. - Patrick L. Combettes; Jean-Christophe Pesquet (SIAM J. Optim., 2007)

Noise Covariance Properties in Dual-Tree Wavelet Decompositions. - Caroline Chaux; Jean-Christophe Pesquet; Laurent Duval (IEEE Trans. Inf. Theory, 2007)

Quadratic Higher Order Criteria for Iterative Blind Separation of a MIMO Convolutive Mixture of Sources. - Marc Castella; Saloua Rhioui; Eric Moreau; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2007)

Convolutive Blind Signal Separation Based on Asymmetrical Contrast Functions. - Eric Moreau; Jean-Christophe Pesquet; Nadège Thirion-Moreau (IEEE Trans. Signal Process., 2007)

Two denoising SURE-LET methods for complex oversampled subband decompositions. - Jérôme Gauthier; Laurent Duval; Jean-Christophe Pesquet (EUSIPCO, 2008)

A constrained forward-backward algorithm for image recovery problems. - Nelly Pustelnik; Caroline Chaux; Jean-Christophe Pesquet (EUSIPCO, 2008)

Rate-distortion results for Generalized Gaussian distributions. - Aurélia Fraysse; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (ICASSP, 2008)

Autocalibrated regularized parallel mri reconstruction in the wavelet domain. - Lotfi Chaâri; Jean-Christophe Pesquet; Amel Benazza-Benyahia; Philippe Ciuciu (ISBI, 2008)

A convex programming approach for color stereo matching. - Wided Miled; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (MMSP, 2008)

A Nonlinear Stein-Based Estimator for Multichannel Image Denoising. - Caroline Chaux; Laurent Duval; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2008)

Hybrid regularization for data restoration in the presence of Poisson noise. - Nelly Pustelnik; Caroline Chaux; Jean-Christophe Pesquet (EUSIPCO, 2009)

Split convex minimization algorithm for signal recovery. - Patrick L. Combettes; Jean-Christophe Pesquet (ICASSP, 2009)

A wavelet-based quadratic extension method for image deconvolution in the presence of poisson noise. - Nelly Pustelnik; Caroline Chaux; Jean-Christophe Pesquet (ICASSP, 2009)

Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors. - Lotfi Chaâri; Amel Benazza-Benyahia; Jean-Christophe Pesquet; Philippe Ciuciu (ICIP, 2009)

Dense disparity map representations for stereo image coding. - Mounir Kaaniche; Wided Miled; Béatrice Pesquet-Popescu; Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICIP, 2009)

Nested Iterative Algorithms for Convex Constrained Image Recovery Problems. - Caroline Chaux; Jean-Christophe Pesquet; Nelly Pustelnik (SIAM J. Imaging Sci., 2009)

Vector Lifting Schemes for Stereo Image Coding. - Mounir Kaaniche; Amel Benazza-Benyahia; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2009)

A Convex Optimization Approach for Depth Estimation Under Illumination Variation. - Wided Miled; Jean-Christophe Pesquet; Michel Parent (IEEE Trans. Image Process., 2009)

On the uniform quantization of a class of sparse sources. - Aurélia Fraysse; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 2009)

Optimization of synthesis oversampled complex filter banks. - Jérôme Gauthier; Laurent Duval; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2009)

A SURE approach for digital signal/image deconvolution problems. - Jean-Christophe Pesquet; Amel Benazza-Benyahia; Caroline Chaux (IEEE Trans. Signal Process., 2009)

Proximal methods for image restoration using a class of non-tight frame representations. - Nelly Pustelnik; Jean-Christophe Pesquet; Caroline Chaux (EUSIPCO, 2010)

Two-dimensional non separable adaptive lifting scheme for still and stereo image coding. - Mounir Kaaniche; Jean-Christophe Pesquet; Amel Benazza-Benyahia; Béatrice Pesquet-Popescu (ICASSP, 2010)

Alternating proximal algorithm for blind image recovery. - Jérôme Bolte; Patrick L. Combettes; Jean-Christophe Pesquet (ICIP, 2010)

Proximal method for geometry and texture image decomposition. - Luis M. Briceño-Arias; Patrick L. Combettes; Jean-Christophe Pesquet; Nelly Pustelnik (ICIP, 2010)

Image quantization under spatial smoothness constraints. - Anna Jezierska; Caroline Chaux; Hugues Talbot; Jean-Christophe Pesquet (ICIP, 2010)

A hierarchical Bayesian model for frame representation. - Lotfi Chaâri; Jean-Christophe Pesquet; Jean-Yves Tourneret; Philippe Ciuciu; Amel Benazza-Benyahia (IEEE Trans. Signal Process., 2010)

Proximal Splitting Methods in Signal Processing. - Patrick L. Combettes; Jean-Christophe Pesquet (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

An EM approach for Poisson-Gaussian noise modeling. - Anna Jezierska; Caroline Chaux; Jean-Christophe Pesquet; Hugues Talbot (EUSIPCO, 2011)

Dual constrained TV-based regularization. - Camille Couprie; Hugues Talbot; Jean-Christophe Pesquet; Laurent Najman; Leo J. Grady (ICASSP, 2011)

Proximal splitting methods for depth estimation. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah; Mounir Kaaniche; Béatrice Pesquet-Popescu (ICASSP, 2011)

A Memory Gradient algorithm for ℓ2 - ℓ0 regularization with applications to image restoration. - Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot; Anna Jezierska (ICIP, 2011)

3D wavelet-based regularization for parallel MRI reconstruction: Impact on subject and group-level statistical sensitivity in fMRI. - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Philippe Ciuciu; Jean-Christophe Pesquet (ISBI, 2011)

Image reconstruction from multiple sensors using stein's principle. Application to parallel MRI. - Alexandru Marin; Caroline Chaux; Jean-Christophe Pesquet; Philippe Ciuciu (ISBI, 2011)

Disparity map estimation under convex constraints using proximal algorithms. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah; Caroline Chaux; Béatrice Pesquet-Popescu (SiPS, 2011)

4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Jean-Christophe Pesquet; Philippe Ciuciu (CoRR, 2011)

Proximal Algorithms for Multicomponent Image Recovery Problems. - Luis M. Briceño-Arias; Patrick L. Combettes; Jean-Christophe Pesquet; Nelly Pustelnik (J. Math. Imaging Vis., 2011)

A Spatial Regularization Approach for Vector Quantization. - Caroline Chaux; Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot (J. Math. Imaging Vis., 2011)

A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging. - Lotfi Chaâri; Jean-Christophe Pesquet; Amel Benazza-Benyahia; Philippe Ciuciu (Medical Image Anal., 2011)

Advances in multirate filter bank structures and multiscale representations. - Thierry Blu; Laurent Duval; Truong Q. Nguyen; Jean-Christophe Pesquet (Signal Process., 2011)

Non-separable lifting scheme with adaptive update step for still and stereo image coding. - Mounir Kaaniche; Amel Benazza-Benyahia; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (Signal Process., 2011)

Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. - Nelly Pustelnik; Caroline Chaux; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2011)

A convex variational approach for multiple removal in seismic data. - Diego Gragnaniello; Caroline Chaux; Jean-Christophe Pesquet; Laurent Duval (EUSIPCO, 2012)

Comparison of two proximal splitting algorithms for solving multilabel disparity estimation problems. - Sonja Hiltunen; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (EUSIPCO, 2012)

ℓ1-adapted non separable vector lifting schemes for stereo image coding. - Mounir Kaaniche; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (EUSIPCO, 2012)

A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2012)

A proximal approach for constrained cosparse modelling. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2012)

A primal-dual proximal splitting approach for restoring data corrupted with poisson-gaussian noise. - Anna Jezierska; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (ICASSP, 2012)

Adaptive lifting schemes with a global ℓ1 minimization technique for image coding. - Mounir Kaaniche; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet; Amel Benazza-Benyahia (ICIP, 2012)

Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging. - Anna Jezierska; Hugues Talbot; Caroline Chaux; Jean-Christophe Pesquet; Gilbert Engler (ISBI, 2012)

A convex programming bit allocation method for sparse sources. - Mounir Kaaniche; Aurélia Fraysse; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (PCS, 2012)

Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging - Lotfi Chaâri; Sébastien Mériaux; Solveig Badillo; Jean-Christophe Pesquet; Philippe Ciuciu (CoRR, 2012)

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (CoRR, 2012)

Adaptive lifting scheme with sparse criteria for image coding. - Mounir Kaaniche; Béatrice Pesquet-Popescu; Amel Benazza-Benyahia; Jean-Christophe Pesquet (EURASIP J. Adv. Signal Process., 2012)

Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration. - Nelly Pustelnik; Jean-Christophe Pesquet; Caroline Chaux (IEEE Trans. Signal Process., 2012)

A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Philippe Ciuciu; Silviu Ciochina (EUSIPCO, 2013)

A proximal approach for signal recovery based on information measures. - Mireille El Gheche; Anna Jezierska; Jean-Christophe Pesquet; Joumana Farah (EUSIPCO, 2013)

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2013)

A proximal approach for optimization problems involving kullback divergences. - Mireille El Gheche; Jean-Christophe Pesquet; Joumana Farah (ICASSP, 2013)

Seismic multiple removal with a primal-dual proximal algorithm. - Mai Quyen Pham; Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (ICASSP, 2013)

Generalized multivariate exponential power prior for wavelet-based multichannel image restoration. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2013)

Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. - Stanislav Harizanov; Jean-Christophe Pesquet; Gabriele Steidl (SSVM, 2013)

A Parallel Proximal Splitting Method for Disparity Estimation from Multicomponent Images Under Illumination Variation. - Caroline Chaux; Mireille El Gheche; Joumana Farah; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (J. Math. Imaging Vis., 2013)

A Majorize-Minimize Subspace Approach for ℓ2-ℓ0 Image Regularization. - Emilie Chouzenoux; Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot (SIAM J. Imaging Sci., 2013)

Dual Constrained TV-based Regularization on Graphs. - Camille Couprie; Leo J. Grady; Laurent Najman; Jean-Christophe Pesquet; Hugues Talbot (SIAM J. Imaging Sci., 2013)

A hybrid alternating proximal method for blind video restoration. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (EUSIPCO, 2014)

A stochastic 3MG algorithm with application to 2D filter identification. - Emilie Chouzenoux; Jean-Christophe Pesquet; Anisia Florescu (EUSIPCO, 2014)

Majorize-Minimize adapted metropolis-hastings algorithm. Application to multichannel image recovery. - Yosra Marnissi; Amel Benazza-Benyahia; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2014)

Epigraphical proximal projection for sparse multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2014)

Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models. - Mounir Kaaniche; Aurélia Fraysse; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (ICASSP, 2014)

A constrained-based optimization approach for seismic data recovery problems. - Mai Quyen Pham; Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (ICASSP, 2014)

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2014)

Cramer-Rao bound for a sparse complex model. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Silviu Ciochina (COMM, 2014)

A multi-parameter optimization approach for complex continuous sparse modelling. - Emilie Chouzenoux; Jean-Christophe Pesquet; Anisia Florescu (DSP, 2014)

A forward-backward view of some primal-dual optimization methods in image recovery. - Patrick L. Combettes; Laurent Condat; Jean-Christophe Pesquet; Bang Công Vu (ICIP, 2014)

Iterative poisson-Gaussian noise parametric estimation for blind image denoising. - Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot; Caroline Chaux (ICIP, 2014)

A nonconvex regularized approach for phase retrieval. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICIP, 2014)

A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. - Giovanni Chierchia; Nelly Pustelnik; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (CoRR, 2014)

Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Optim. Theory Appl., 2014)

A Majorize-Minimize Memory Gradient method for complex-valued inverse problems. - Anisia Florescu; Emilie Chouzenoux; Jean-Christophe Pesquet; Philippe Ciuciu; Silviu Ciochina (Signal Process., 2014)

A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. - Giovanni Chierchia; Nelly Pustelnik; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2014)

A Bit Allocation Method for Sparse Source Coding. - Mounir Kaaniche; Aurélia Fraysse; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2014)

An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation. - Anna Jezierska; Caroline Chaux; Jean-Christophe Pesquet; Hugues Talbot; Gilbert Engler (IEEE Trans. Signal Process., 2014)

A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. - Mai Quyen Pham; Laurent Duval; Caroline Chaux; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2014)

A distributed strategy for computing proximity operators. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (ACSSC, 2015)

Optimization of a Geman-McClure like criterion for sparse signal deconvolution. - Marc Castella; Jean-Christophe Pesquet (CAMSAP, 2015)

An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence. - Lu Wang 012; Laurent Albera; Lotfi Senhadji; Jean-Christophe Pesquet (CAMSAP, 2015)

Graph inference enhancement with clustering: Application to Gene Regulatory Network reconstruction. - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (EUSIPCO, 2015)

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2015)

Fast convex optimization for connectivity enforcement in gene regulatory network inference. - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (ICASSP, 2015)

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. - Audrey Repetti; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2015)

A dual block coordinate proximal algorithm with application to deconvolution of interlaced video sequences. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (ICIP, 2015)

Color deflickering for high-speed video in the presence of artificial lighting. - Ali Kanj; Hugues Talbot; Jean-Christophe Pesquet; Raoul Rodriguez Luparello (ICIP, 2015)

Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods. - Mai Quyen Pham; Caroline Chaux; Laurent Duval; Jean-Christophe Pesquet (ICIP, 2015)

When Convex Analysis Meets Mathematical Morphology on Graphs. - Laurent Najman; Jean-Christophe Pesquet; Hugues Talbot (ISMM, 2015)

BRANE Cut: biologically-related a priori network enhancement with graph cuts for gene regulatory network inference. - Aurélie Pirayre; Camille Couprie; Frédérique Bidard; Laurent Duval; Jean-Christophe Pesquet (BMC Bioinform., 2015)

A Proximal Approach for Sparse Multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (CoRR, 2015)

Tutorial on Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (CoRR, 2015)

A Convex Approach for Image Restoration with Exact Poisson-Gaussian Likelihood. - Emilie Chouzenoux; Anna Jezierska; Jean-Christophe Pesquet; Hugues Talbot (SIAM J. Imaging Sci., 2015)

Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping. - Patrick L. Combettes; Jean-Christophe Pesquet (SIAM J. Optim., 2015)

Epigraphical projection and proximal tools for solving constrained convex optimization problems. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (Signal Image Video Process., 2015)

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ1/ℓ2 Regularization. - Audrey Repetti; Mai Quyen Pham; Laurent Duval; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2015)

Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. - Nikos Komodakis; Jean-Christophe Pesquet (IEEE Signal Process. Mag., 2015)

Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration. - Patrick L. Combettes; Jean-Christophe Pesquet (EUSIPCO, 2016)

Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise. - Yosra Marnissi; Yuling Zheng; Jean-Christophe Pesquet (ICASSP, 2016)

A block parallel majorize-minimize memory gradient algorithm. - Sara Cadoni; Emilie Chouzenoux; Jean-Christophe Pesquet; Caroline Chaux (ICIP, 2016)

Random primal-dual proximal iterations for sparse multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet (MLSP, 2016)

An auxiliary variable method for Langevin based MCMC algorithms. - Yosra Marnissi; Emilie Chouzenoux; Jean-Christophe Pesquet; Amel Benazza-Benyahia (SSP, 2016)

A Variational Bayesian Approach for Restoring Data Corrupted with Non-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (CoRR, 2016)

A block coordinate variable metric forward-backward algorithm. - Emilie Chouzenoux; Jean-Christophe Pesquet; Audrey Repetti (J. Glob. Optim., 2016)

Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing. - Steve McLaughlin 001; Marcelo Pereyra; Alfred O. Hero III; Jean-Yves Tourneret; Jean-Christophe Pesquet (IEEE J. Sel. Top. Signal Process., 2016)

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing. - Marcelo Pereyra; Philip Schniter; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Yves Tourneret; Alfred O. Hero III; Steve McLaughlin 001 (IEEE J. Sel. Top. Signal Process., 2016)

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm. - Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2016)

A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior. - Qi Wei 002; Emilie Chouzenoux; Jean-Yves Tourneret; Jean-Christophe Pesquet (CAMSAP, 2017)

A global optimization approach for rational sparsity promoting criteria. - Marc Castella; Jean-Christophe Pesquet (EUSIPCO, 2017)

A two-stage subspace trust region approach for deep neural network training. - Viacheslav Dudar; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet; Vladimir Semenov (EUSIPCO, 2017)

HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation. - Aurélie Pirayre; Yuling Zheng; Laurent Duval; Jean-Christophe Pesquet (ICIP, 2017)

Spatially variant PSF modeling in confocal macroscopy. - Anna Jezierska; Hugues Talbot; Jean-Christophe Pesquet; Gilbert Engler (CoRR, 2017)

Dual Block-Coordinate Forward-Backward Algorithm with Application to Deconvolution and Deinterlacing of Video Sequences. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (J. Math. Imaging Vis., 2017)

A Variational Bayesian Approach for Image Restoration - Application to Image Deblurring With Poisson-Gaussian Noise. - Yosra Marnissi; Yuling Zheng; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Computational Imaging, 2017)

A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation. - Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2017)

Linear Convergence of Stochastic Block-Coordinate Fixed Point Algorithms. - Patrick L. Combettes; Jean-Christophe Pesquet (EUSIPCO, 2018)

Signal Reconstruction from Sub-sampled and Nonlinearly Distorted Observations. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet; Laurent Duval (EUSIPCO, 2018)

A Nonconvex Variational Approach for Robust Graphical Lasso. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2018)

PIPA: A New Proximal Interior Point Algorithm for Large-Scale Convex Optimization. - Marie-Caroline Corbineau; Emilie Chouzenoux; Jean-Christophe Pesquet (ICASSP, 2018)

Block-Coordinate Proximal Algorithms for Scale-Free Texture Segmentation. - Barbara Pascal; Nelly Pustelnik; Patrice Abry; Jean-Christophe Pesquet (ICASSP, 2018)

A Multicore Convex Optimization Algorithm with Applications to Video Restoration. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (ICIP, 2018)

Geometry-Texture Decomposition/Reconstruction Using a Proximal Interior Point Algorithm. - Marie-Caroline Corbineau; Emilie Chouzenoux; Jean-Christophe Pesquet (SAM, 2018)

Spatially variant PSF modeling in confocal macroscopy. - Anna Jezierska; Hugues Talbot; Jean-Christophe Pesquet (ISBI, 2018)

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. - Tim Tsz-Kit Lau; Emilie Chouzenoux; Claire Lefort; Jean-Christophe Pesquet (ISBI, 2018)

Deep Unfolding of a Proximal Interior Point Method for Image Restoration. - Carla Bertocchi; Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Marco Prato (CoRR, 2018)

An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (Entropy, 2018)

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement. - Aurélie Pirayre; Camille Couprie; Laurent Duval; Jean-Christophe Pesquet (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Proximity Operators of Discrete Information Divergences. - Mireille El Gheche; Giovanni Chierchia; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 2018)

Detecting the Rank of a Symmetric Tensor. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet (EUSIPCO, 2019)

A Data Augmentation Approach for Sampling Gaussian Models in High Dimension. - Yosra Marnissi; Dany Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Mohamed El Badaoui; Amel Benazza-Benyahia (EUSIPCO, 2019)

How to Globally Solve Non-convex Optimization Problems Involving an Approximate ℓ0 Penalization. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet (ICASSP, 2019)

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. - Marie-Caroline Corbineau; Carla Bertocchi; Emilie Chouzenoux; Marco Prato; Jean-Christophe Pesquet (ICIP, 2019)

Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. - Loubna El Gueddari; Philippe Ciuciu; Emilie Chouzenoux; Alexandre Vignaud; Jean-Christophe Pesquet (ISBI, 2019)

A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. - Maissa Sghaier; Emilie Chouzenoux; Giovanni Palma; Jean-Christophe Pesquet; Serge Muller (ISBI, 2019)

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. - Luis M. Briceño-Arias; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet (Comput. Optim. Appl., 2019)

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. - Emilie Chouzenoux; Tim Tsz-Kit Lau; Claire Lefort; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2019)

Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II: mean-square and linear convergence. - Patrick L. Combettes; Jean-Christophe Pesquet (Math. Program., 2019)

An alternating proximal approach for blind video deconvolution. - Feriel Abboud; Emilie Chouzenoux; Jean-Christophe Pesquet; Jean-Hugues Chenot; Louis Laborelli (Signal Process. Image Commun., 2019)

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images. - Marie-Caroline Corbineau; Denis Kouamé; Emilie Chouzenoux; Jean-Yves Tourneret; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2019)

Rational Optimization for Nonlinear Reconstruction With Approximate ℓ0 Penalization. - Marc Castella; Jean-Christophe Pesquet; Arthur Marmin (IEEE Trans. Signal Process., 2019)

Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection. - Sagar Verma; Nicolas Henwood; Marc Castella; François Malrait; Jean-Christophe Pesquet (AAAI, 2020)

Globally Optimizing Owing to Tensor Decomposition. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet (EUSIPCO, 2020)

Signal Denoising Using a New Class of Robust Neural Networks. - Ana Neacsu; Kavya Gupta; Jean-Christophe Pesquet; Corneliu Burileanu (EUSIPCO, 2020)

Proximal Gradient Algorithm in the Presence of Adjoint Mismatch. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell; Yves Trousset (EUSIPCO, 2020)

A Small-Scale Network for Seismic Patterns Classification. - Monacér da Silva; Jean Charléty; Aurélia Fraysse; Jean-Christophe Pesquet (EUSIPCO, 2020)

A Moment-Based Approach for Guaranteed Tensor Decomposition. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet (ICASSP, 2020)

Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks. - Ana Neacsu; Jean-Christophe Pesquet; Corneliu Burileanu (ICASSP, 2020)

Building Firmly Nonexpansive Convolutional Neural Networks. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICASSP, 2020)

Optimized Lifting Scheme Based on A Dynamical Fully Connected Network for Image Coding. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet (ICIP, 2020)

Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics. - Sagar Verma; Nicolas Henwood; Marc Castella; Al Kassem Jebai; Jean-Christophe Pesquet (IECON, 2020)

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis. - Maissa Sghaier; Emilie Chouzenoux; Jean-Christophe Pesquet; Serge Muller (ISBI, 2020)

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. - Mathilde Galinier; Marco Prato; Emilie Chouzenoux; Jean-Christophe Pesquet (MLSP, 2020)

Robust Reconstruction with Nonconvex Subset Constraints: A Polynomial Optimization Approach. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet (MLSP, 2020)

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (CoRR, 2020)

A Proximal Interior Point Algorithm with Applications to Image Processing. - Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2020)

Proximal approaches for matrix optimization problems: Application to robust precision matrix estimation. - Alessandro Benfenati; Emilie Chouzenoux; Jean-Christophe Pesquet (Signal Process., 2020)

Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators. - Patrick L. Combettes; Jean-Christophe Pesquet (SIAM J. Math. Data Sci., 2020)

Global Optimization for Recovery of Clipped Signals Corrupted With Poisson-Gaussian Noise. - Arthur Marmin; Anna Jezierska; Marc Castella; Jean-Christophe Pesquet (IEEE Signal Process. Lett., 2020)

SPOQ $ ell _p$-Over-$ ell _q$ Regularization for Sparse Signal Recovery Applied to Mass Spectrometry. - Afef Cherni; Emilie Chouzenoux; Laurent Duval; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2020)

Majorize-Minimize Adapted Metropolis-Hastings Algorithm. - Yosra Marnissi; Emilie Chouzenoux; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2020)

GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration. - Mouna Gharbi; Emilie Chouzenoux; Jean-Christophe Pesquet; Laurent Duval (EUSIPCO, 2021)

A Penalized Subspace Strategy for Solving Large-Scale Constrained Optimization Problems. - Ségolène Martin; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2021)

A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data. - Kavya Gupta; Béatrice Pesquet-Popescu; Fateh Kaakai; Jean-Christophe Pesquet (ICASSP, 2021)

Deep Transform and Metric Learning Networks. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (ICASSP, 2021)

A Neural Network Approach For Joint Optimization Of Predictors In Lifting-Based Image Coders. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet; Gabriel Dauphin (ICIP, 2021)

Enhanced Convergent PNP Algorithms For Image Restoration. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICIP, 2021)

Sparsifying Networks via Subdifferential Inclusion. - Sagar Verma; Jean-Christophe Pesquet (ICML, 2021)

An Adversarial Attacker for Neural Networks in Regression Problems. - Kavya Gupta; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu; Fateh Kaakai; Fragkiskos D. Malliaros (AISafety@IJCAI, 2021)

A Deep Learning Approach For Improved Segmentation Of Lesions Related To Covid-19 Chest CT Scans. - Vlad Vasilescu; Ana Neacsu; Emilie Chouzenoux; Jean-Christophe Pesquet; Corneliu Burileanu (ISBI, 2021)

Learning Maximally Monotone Operators for Image Recovery. - Jean-Christophe Pesquet; Audrey Repetti; Matthieu Terris; Yves Wiaux (SIAM J. Imaging Sci., 2021)

Sparse signal reconstruction for nonlinear models via piecewise rational optimization. - Arthur Marmin; Marc Castella; Jean-Christophe Pesquet; Laurent Duval (Signal Process., 2021)

Fixed Point Strategies in Data Science. - Patrick L. Combettes; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2021)

Design of Robust Complex-Valued Feed-Forward Neural Networks. - Ana Neacsu; Razvan Ciubotaru; Jean-Christophe Pesquet; Corneliu Burileanu (EUSIPCO, 2022)

Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. - Audrey Repetti; Matthieu Terris; Yves Wiaux; Jean-Christophe Pesquet (EUSIPCO, 2022)

A CNC approach for Directional Total Variation. - Gabriele Scrivanti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2022)

A Non-Convex Proximal Approach for Centroid-Based Classification. - Mewe-Hezoudah Kahanam; Laurent Le Brusquet; Ségolène Martin; Jean-Christophe Pesquet (ICASSP, 2022)

A Convex Formulation for the Robust Estimation of Multivariate Exponential Power Models. - Nora Ouzir; Jean-Christophe Pesquet; Frédéric Pascal 001 (ICASSP, 2022)

A Bregman Majorization-Minimization Framework for Pet Image Reconstruction. - Claire Rossignol; Florent Sureau; Emilie Chouzenoux; Claude Comtat; Jean-Christophe Pesquet (ICIP, 2022)

Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference. - Ségolène Martin; Malik Boudiaf; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (NeurIPS, 2022)

Safe Design of Stable Neural Networks for Fault Detection in Small UAVs. - Kavya Gupta; Fateh Kaakai; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (SAFECOMP Workshops, 2022)

Proximal Splitting Adversarial Attacks for Semantic Segmentation. - Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2022)

A Variational Approach for Joint Image Recovery and Features Extraction Based on Spatially Varying Generalised Gaussian Models. - Emilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Gabriele Scrivanti (CoRR, 2022)

Distributed algorithms for scalable proximity operator computation and application to video denoising. - Feriel Abboud; Marin Stamm; Emilie Chouzenoux; Jean-Christophe Pesquet; Hugues Talbot (Digit. Signal Process., 2022)

Deep transform and metric learning network: Wedding deep dictionary learning and neural network. - Wen Tang; Emilie Chouzenoux; Jean-Christophe Pesquet; Hamid Krim (Neurocomputing, 2022)

A Novel Task-Based reconstruction approach for digital breast tomosynthesis. - Maissa Sghaier; Emilie Chouzenoux; Jean-Christophe Pesquet; Serge Muller (Medical Image Anal., 2022)

Unmatched Preconditioning of the Proximal Gradient Algorithm. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell (IEEE Signal Process. Lett., 2022)

Dynamic Neural Network for Lossy-to-Lossless Image Coding. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2022)

Proximal Splitting Adversarial Attack for Semantic Segmentation. - Jérôme Rony; Jean-Christophe Pesquet; Ismail Ben Ayed (CVPR, 2023)

Stability of Unfolded Forward-Backward to Perturbations in Observed Data. - Cécile de Valle; Ezequiel Centofanti; Emilie Chouzenoux; Jean-Christophe Pesquet (EUSIPCO, 2023)

A Variational Inequality Model for Learning Neural Networks. - Patrick L. Combettes; Jean-Christophe Pesquet; Audrey Repetti (ICASSP, 2023)

A Proximal Approach to IVA-G with Convergence Guarantees. - Clément Cosserat; Ben Gabrielson; Emilie Chouzenoux; Jean-Christophe Pesquet; Tülay Adali (ICASSP, 2023)

Majorization-Minimization for sparse SVMs. - Alessandro Benfenati; Emilie Chouzenoux; Giorgia Franchini; Salla Latva-Aijo; Dominik Narnhofer; Jean-Christophe Pesquet; Sebastian J. Scott; Mahsa Yousefi (CoRR, 2023)

Aggregated f-average Neural Network for Interpretable Ensembling. - Mathieu Vu; Emilie Chouzenoux; Jean-Christophe Pesquet; Ismail Ben Ayed (CoRR, 2023)

Deep Unfolding of the DBFB Algorithm With Application to ROI CT Imaging With Limited Angular Density. - Marion Savanier; Emilie Chouzenoux; Jean-Christophe Pesquet; Cyril Riddell (IEEE Trans. Computational Imaging, 2023)

Neural Speed-Torque Estimator for Induction Motors in the Presence of Measurement Noise. - Sagar Verma; Nicolas Henwood; Marc Castella; Al Kassem Jebai; Jean-Christophe Pesquet (IEEE Trans. Ind. Electron., 2023)

Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution. - Yunshi Huang; Emilie Chouzenoux; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2023)

Convergence Results for Primal-Dual Algorithms in the Presence of Adjoint Mismatch. - Emilie Chouzenoux; Andrés Contreras; Jean-Christophe Pesquet; Marion Savanier (SIAM J. Imaging Sci., 2023)

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery. - Emilie Chouzenoux; Ségolène Martin; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2023)

Efficient bayes inference in neural networks through adaptive importance sampling. - Yunshi Huang; Emilie Chouzenoux; Víctor Elvira; Jean-Christophe Pesquet (J. Frankl. Inst., 2023)

Transductive Zero-Shot and Few-Shot CLIP. - Ségolène Martin; Yunshi Huang; Fereshteh Shakeri; Jean-Christophe Pesquet; Ismail Ben Ayed (CVPR, 2024)

Unrolled Projected Gradient Algorithm For Stain Separation In Digital Histopathological Images. - Aymen Sadraoui; Astrid Laurent-Bellue; Mounir Kaaniche; Amel Benazza-Benyahia; Catherine Guettier; Jean-Christophe Pesquet (ICIP, 2024)

A Transductive Few-Shot Learning Approach for Classification of Digital Histopathological Slides from Liver Cancer. - Aymen Sadraoui; Ségolène Martin; Eliott Barbot; Astrid Laurent-Bellue; Jean-Christophe Pesquet; Catherine Guettier; Ismail Ben Ayed (ISBI, 2024)

Deep Learning Method for Accessible Eccentric Photorefraction. - Mathieu Vu; Émilie Chouzenoux; Jean-Christophe Pesquet; Stéphane Boutinon; Marius Peloux; Philippe Pinault (ISBI, 2024)

Unrolled Deep Networks for Sparse Signal Restoration in Analytical Chemistry. - Mouna Gharbi; Silvia Villa; Emilie Chouzenoux; Jean-Christophe Pesquet; Laurent Duval (MLSP, 2024)

Are Almost Non-Negative Neural Networks Universal Approximators? - Vlad Vasilescu; Ana Neacsu; Jean-Christophe Pesquet (MLSP, 2024)

Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning. - Aurélie Beaufrère; Nora Ouzir; Paul-Emile Zafar; Astrid Laurent-Bellue; Miguel Albuquerque; Gwladys Lubuela; Jules Grégory; Catherine Guettier; Kévin Mondet; Jean-Christophe Pesquet; Valérie Paradis (CoRR, 2024)

Solution of Mismatched Monotone+Lipschitz Inclusion Problems. - Emilie Chouzenoux; Jean-Christophe Pesquet; Fernando Roldán (SIAM J. Optim., 2024)

An unrolled half-quadratic approach for sparse signal recovery in spectroscopy. - Mouna Gharbi; Emilie Chouzenoux; Jean-Christophe Pesquet (Signal Process., 2024)

ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness. - Ana Neacsu; Jean-Christophe Pesquet; Vlad Vasilescu; Corneliu Burileanu (SIAM J. Math. Data Sci., 2024)

Joint Learning of Fully Connected Network Models in Lifting Based Image Coders. - Tassnim Dardouri; Mounir Kaaniche; Amel Benazza-Benyahia; Gabriel Dauphin; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2024)

Training Graph Neural Networks Subject to a Tight Lipschitz Constraint. - Simona Ioana Juvina; Ana Antonia Neacsu; Jérôme Rony; Jean-Christophe Pesquet; Corneliu Burileanu; Ismail Ben Ayed (Trans. Mach. Learn. Res., 2024)

Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions. - Nora Ouzir; Frédéric Pascal 001; Jean-Christophe Pesquet (IEEE Trans. Signal Process., 2024)

EMG-Based Automatic Gesture Recognition Using Lipschitz-Regularized Neural Networks. - Ana Neacsu; Jean-Christophe Pesquet; Corneliu Burileanu (ACM Trans. Intell. Syst. Technol., 2024)

A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models. - Émilie Chouzenoux; Marie-Caroline Corbineau; Jean-Christophe Pesquet; Gabriele Scrivanti (J. Math. Imaging Vis., 2024)

UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning. - Long Zhou; Fereshteh Shakeri; Aymen Sadraoui; Mounir Kaaniche; Jean-Christophe Pesquet; Ismail Ben Ayed (CVPR, 2025)

Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis. - Gaspard Blaise; Clément Cosserat; Emilie Chouzenoux; Jean-Christophe Pesquet; Tülay Adali (SSP, 2025)

Learning Truly Monotone Operators with Applications to Nonlinear Inverse Problems. - Younes Belkouchi; Jean-Christophe Pesquet; Audrey Repetti; Hugues Talbot (SIAM J. Imaging Sci., 2025)

Aggregatedf-average neural network applied to few-shot class incremental learning. - Mathieu Vu; Émilie Chouzenoux; Ismail Ben Ayed; Jean-Christophe Pesquet (Signal Process., 2025)

Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation. - Ségolène Martin; Jean-Christophe Pesquet; Gabriele Steidl; Ismail Ben Ayed (CoRR, 2025)

Stability Bounds for the Unfolded Forward-Backward Algorithm. - Emilie Chouzenoux; Cécile de Valle; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2025)