Matthieu Kowalski

Inria Tau, Université Paris-Saclay, Laboratoire Interdisciplinaire des Sciences du Num ́eriques

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1066529

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mkowalski
0000-0002-9981-237X
IdRef : 147702380

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Publications

	A Novel Integer Linear Programming Approach for Global L0 Minimization Diego Delle Donne , Matthieu Kowalski , Leo Liberti Journal of Machine Learning Research, 2024, 24 (1), Art. no. 382, p.18322-18349. ⟨10.5555/3648699.3649081⟩ Journal articles hal-04372309v1
	Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation Fangchen Feng , Matthieu Kowalski IEEE/ACM Transactions on Audio, Speech and Language Processing, 2019, 27 (2), pp.442-456. ⟨10.1109/taslp.2018.2881925⟩ Journal articles hal-01760968v1
	Convex Optimization approach to signals with fast varying instantaneous frequency Matthieu Kowalski , Adrien Meynard , Hau-Tieng Wu Applied and Computational Harmonic Analysis, 2018, 44 (1), pp.89 - 122. ⟨10.1016/j.acha.2016.03.008⟩ Journal articles hal-01199615v2
	Estimation with Low-Rank Time-Frequency Synthesis Models Cédric Févotte , Matthieu Kowalski IEEE Transactions on Signal Processing, 2018, 66 (15), pp.4121 - 4132. ⟨10.1109/TSP.2018.2844159⟩ Journal articles hal-01680655v2
	Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation Clément Laroche , Matthieu Kowalski , Hélène Papadopoulos , Gael Richard IEEE/ACM Transactions on Audio, Speech and Language Processing, 2018, 26 (9), pp.1499-1511. ⟨10.1109/taslp.2018.2830116⟩ Journal articles hal-01797151v1
	Water Residence Time Estimation by 1D Deconvolution in the Form of a l 2 -Regularized Inverse Problem With Smoothness, Positivity and Causality Constraints Alina G. Meresescu , Matthieu Kowalski , Frédéric Schmidt , François Landais Computers & Geosciences, 2018, 115, pp.105-121. ⟨10.1016/j.cageo.2018.03.009⟩ Journal articles hal-01735678v1
	Revisiting Sparse ICA from a Synthesis Point of View: Blind Source Separation for Over and Underdetermined Mixture Fangchen Feng , Matthieu Kowalski Signal Processing, 2018, ⟨10.1016/j.sigpro.2018.05.017⟩ Journal articles hal-01297471v3
	Proximal Algorithm Meets a Conjugate descent Matthieu Kowalski Pacific journal of optimization, 2016, 12 (3), pp.669-695 Journal articles hal-00505733v3
	Toward a numerical deshaker for PFS Frédéric Schmidt , Irina Shatalina , Matthieu Kowalski , Nicolas Gac , Bortolino Saggin Planetary and Space Science, 2014, 91, pp.45 - 51. ⟨10.1016/j.pss.2013.11.012⟩ Journal articles hal-01102830v1
	Sparse and structured decomposition of audio signals on hybrid dictionaries using musical priors Hélène Papadopoulos , Matthieu Kowalski Journal of the Acoustical Society of America, 2013, 134 (1), pp.666-685. ⟨10.1121/1.4807821⟩ Journal articles hal-00823059v2
	Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators Matthieu Kowalski , Kai Siedenburg , Monika Dörfler IEEE Transactions on Signal Processing, 2013, 61 (10), pp.2498 - 2511. ⟨10.1109/TSP.2013.2250967⟩ Journal articles hal-00691774v3
	Adapted and adaptive linear time-frequency representations: a synthesis point of view Peter Balazs , Monika Dörfler , Matthieu Kowalski , Bruno Torrésani IEEE Signal Processing Magazine, 2013, 30 (6), pp.20-31. ⟨10.1109/MSP.2013.2266075⟩ Journal articles hal-00863907v1
	Time-Frequency Mixed-Norm Estimates: Sparse M/EEG imaging with non-stationary source activations Alexandre Gramfort , Daniel Strohmeier , Jens Haueisen , Matti Hämäläinen , Matthieu Kowalski NeuroImage, 2013, 70, pp.410-422. ⟨10.1016/j.neuroimage.2012.12.051⟩ Journal articles hal-00773276v1
	Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods Alexandre Gramfort , Matthieu Kowalski , Matti Hämäläinen Physics in Medicine and Biology, 2012, 57 (7), pp.1937-1961. ⟨10.1088/0031-9155/57/7/1937⟩ Journal articles hal-00690774v2
	A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG Matthieu Kowalski , Alexandre Gramfort Traitement du Signal, 2010, 27 (1), pp.51-76. ⟨10.3166/TraitementduSignal.vol(27)51-76⟩ Journal articles hal-00473970v3
	Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation Matthieu Kowalski , Emmanuel Vincent , Rémi Gribonval IEEE Transactions on Audio, Speech and Language Processing, 2010, 18 (7), pp.1818 - 1829. ⟨10.1109/TASL.2010.2050089⟩ Journal articles hal-00435897v3
	Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients Matthieu Kowalski , Bruno Torrésani Signal, Image and Video Processing, 2009, 3 (3), pp.251-264. ⟨10.1007/s11760-008-0076-1⟩ Journal articles hal-00206245v3
	Sparse Regression Using Mixed Norms Matthieu Kowalski Applied and Computational Harmonic Analysis, 2009, 27 (3), pp.303-324. ⟨10.1016/j.acha.2009.05.006⟩ Journal articles hal-00202904v4
	Random models for sparse signals expansion on unions of bases with application to audio signals Matthieu Kowalski , Bruno Torrésani IEEE Transactions on Signal Processing, 2008, 56 (8), pp.3468-3481. ⟨10.1109/TSP.2008.920144⟩ Journal articles hal-00142088v2

	A Hierarchical Deep Learning Approach for Minority Instrument Detection Dylan Sechet , Francesca Bugiotti , Matthieu Kowalski , Edouard D’hérouville , Filip Langiewicz DAFx 2024 - International Conference on Digital Audio Effects, Sep 2024, Guildford, Surrey, United Kingdom Conference papers hal-04682323v1
	From Convolutional Sparse Coding To -NMF Factorization of Time-Frequency Coefficients Jean-Baptiste Malagnoux , Matthieu Kowalski ICASSP 2024 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2024, Séoul, South Korea. pp.5530-5534, ⟨10.1109/ICASSP48485.2024.10447466⟩ Conference papers hal-04608586v1*
	Marginal MAP estimation of a Bernoulli-Gaussian signal: continuous relaxation approach Pierre Barbault , Matthieu Kowalski , Charles Soussen EUSIPCO 2023 - the 31st European Signal Processing Conference, Sep 2023, Helsinki, Finland. pp.1833-1837 Conference papers hal-04383978v1
	Estimation du MAP Marginal d'un signal Bernoulli-Gaussien: une approche par relaxation continue Pierre Barbault , Matthieu Kowalski , Charles Soussen GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4 Conference papers hal-04383981v1
	Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals Clément Bonet , Benoît Malézieux , Alain Rakotomamonjy , Lucas Drumetz , Thomas Moreau ICML 2023 - Fortieth International Conference on Machine Learning, Jul 2023, Honololu, United States. pp.1-29, ⟨10.48550/arXiv.2303.05798⟩ Conference papers hal-04250921v1
	Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior Pierre Barbault , Matthieu Kowalski , Charles Soussen 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapore, Singapore. ⟨10.1109/icassp43922.2022.9746697⟩ Conference papers hal-03576005v1
	Understanding approximate and unrolled dictionary learning for pattern recovery Benoît Malézieux , Thomas Moreau , Matthieu Kowalski International Conference on Learning Representations, Apr 2022, Online, France Conference papers hal-03258196v4
	MIP and Set Covering approaches for Sparse Approximation Diego Delle Donne , Matthieu Kowalski , Leo Liberti ROADEF -- congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France Conference papers hal-03542690v1
	MIP and Set Covering approaches for Sparse Approximation Diego Delle Donne , Matthieu Kowalski , Leo Liberti iTwist 2020 - International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Jun 2020, Nantes, France Conference papers hal-03542681v1
	Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution Clément Laroche , Hélène Papadopoulos , Matthieu Kowalski , Gael Richard The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, Nouvelle Orleans, United States. ⟨10.1109/icassp.2017.7952115⟩ Conference papers hal-01438851v1
	Sparsity and low-rank amplitude based blind Source Separation Fangchen Feng , Matthieu Kowalski The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp.571 - 575, ⟨10.1109/ICASSP.2017.7952220⟩ Conference papers hal-01547459v1
	Genre specific dictionaries for harmonic/percussive source separation Clément Laroche , Hélène Papadopoulos , Matthieu Kowalski , Gael Richard ISMIR 2016 - The 17th International Society for Music Information Retrieval Conference, Aug 2016, New York, United States Conference papers hal-01353252v2
	Social-sparsity brain decoders: faster spatial sparsity Gaël Varoquaux , Matthieu Kowalski , Bertrand Thirion Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy Conference papers hal-01334551v1
	Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise Matthieu Kowalski , Alexandre Gramfort 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France Conference papers hal-01199635v1
	A multi-dimensional meter-adaptive method for automatic segmentation of music Cyril Gaudefroy , H Papadopoulos , Matthieu Kowalski 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2015, Prague, Czech Republic Conference papers hal-01322297v1
	Hybrid sparse and low-rank time-frequency signal decomposition Cédric Févotte , Matthieu Kowalski 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France Conference papers hal-01199622v1
	Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation Fangchen Feng , Matthieu Kowalski 25eme Colloque GRETSI 2015, Sep 2015, Lyon, France Conference papers hal-01199645v1
	Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio Clément Laroche , Matthieu Kowalski , Hélène Papadopoulos , Gael Richard 25eme Colloque GRETSI 2015, Sep 2015, Lyon, France Conference papers hal-01199648v1
	Problèmes inverses avec dictionnaires temps-fréquences en présence de bruit Gaussien non blanc Matthieu Kowalski , Alexandre Gramfort 25eme Colloque GRETSI 2015, Sep 2015, Lyon, France Conference papers hal-01199641v1
	A structured nonnegative matrix factorization for source separation Clément Laroche , Matthieu Kowalski , Hélène Papadopoulos , Gael Richard 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France Conference papers hal-01199631v1
	An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation Fangchen Feng , Matthieu Kowalski 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France Conference papers hal-01199620v1
	Hybrid model and structured sparsity for under-determined convolutive audio source separation Fangchen Feng , Matthieu Kowalski IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp.AASP-P9.9, ⟨10.1109/icassp.2014.6854893⟩ Conference papers hal-01002996v1
	Audio Declipping with Social Sparsity Kai Siedenburg , Matthieu Kowalski , Monika Dörfler IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp.AASP-L2, ⟨10.1109/icassp.2014.6853863⟩ Conference papers hal-01002998v1
	Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study Matthieu Kowalski 21st IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, La Défense, Paris, France. ⟨10.1109/icip.2014.7025843⟩ Conference papers hal-01102810v1
	Low-Rank Time-Frequency Synthesis Cédric Févotte , Matthieu Kowalski Advances in Neural Information Processing Systems (NIPS), Dec 2014, Montréal, France Conference papers hal-01103496v1
	Décomposition parcimonieuse structurée des signaux audio de musique guidée par l'information experte Hélène Papadopoulos , Matthieu Kowalski GRETSI, Sep 2013, Brest, France Conference papers hal-00829133v1
	Apprentissage à partir de noyaux multiples et indéfinis Marie Szafranski , Matthieu Kowalski , Liva Ralaivola GRETSI 2013, Sep 2013, Brest, France Conference papers hal-00829879v1
	Analytical model and spectral correction of vibration effects on Fourier transform spectrometer I. Shatalina , Frederic Schmidt , B. Saggin , Nicolas Gac , Matthieu Kowalski SPIE Remote sensing 2013, Sep 2013, Dresden, Germany. pp.88900S-88900S-9, ⟨10.1117/12.2028632⟩ Conference papers hal-00930996v1
	Parcimonie Sociale et application à l'audio inpainting Kai Siedenburg , Monika Dörfler , Matthieu Kowalski GRETSI 2013, Sep 2013, Brest, France. pp.ID351 Conference papers hal-00924700v1
	Un algorithme de seuillage itératif non-supervisé pour la décomposition parcimonieuse de signaux dans des unions de dictionnaires Matthieu Kowalski , Thomas Rodet GRETSI 2011, Sep 2011, Bordeaux, France. pp.ID46 Conference papers hal-00621031v1
	M/EEG source reconstruction based on Gabor thresholding in the source space Daniel Strohmeier , Alexandre Gramfort , Jens Haueisen , Matti Hämäläinen , Matthieu Kowalski NFSI 2011, May 2011, Banff, Canada Conference papers hal-00621044v1
	An Unsupervised Algorithm for Hybrid/Morphological Signal Decomposition Matthieu Kowalski , Thomas Rodet International Conference on Acoustics, Speech and signal Processing, May 2011, Prague, Czech Republic. pp.4112-4115 Conference papers hal-00601138v1
	Sparse signal decomposition on hybrid dictionaries using musical priors Hélène Papadopoulos , Matthieu Kowalski ISMIR 2011, Oct 2011, Miami, United States. p.687-692 Conference papers hal-00621048v1
	Accelerating ISTA with an active set strategy Matthieu Kowalski , Pierre Weiss , Alexandre Gramfort , Sandrine Anthoine OPT 2011: 4th International Workshop on Optimization for Machine Learning, Dec 2011, Sierra Nevada, Spain. pp.7 Conference papers hal-00696992v2
	Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries Alexandre Gramfort , Daniel Strohmeier , Jens Haueisen , Matti Hamalainen , Matthieu Kowalski International Conference on Information Processing in Medical Imaging (IPMI '11), Jul 2011, Irsee, Germany. pp.600-611, ⟨10.1007/978-3-642-22092-0_49⟩ Conference papers inria-00605502v1
	Apport des dictionnaires temps-fréquence, de la parcimonie et des structures pour l'imagerie cérébrale fonctionnelle M/EEG Alexandre Gramfort , Daniel Strohmeier , Jens Haueisen , Matti Hämäläinen , Matthieu Kowalski GRETSI 2011, Sep 2011, Bordeaux, France. pp.ID45 Conference papers hal-00621040v1
	Sparsity and persistence in time-frequency sound representations Matthieu Kowalski , Bruno Torrésani Wavelets XIII, Aug 2009, San Diego, United States. pp.74460F, ⟨10.1117/12.825220⟩ Conference papers hal-00422075v1
	Multiple Indefinite Kernel Learning with Mixed Norm Regularization Matthieu Kowalski , Marie Szafranski , Liva Ralaivola International Conference on Machine Learning (ICML 2009), Jun 2009, Montreal, Canada. pp.520 Conference papers hal-00424033v1
	Improving M/EEG source localization with an inter-condition sparse prior Alexandre Gramfort , Matthieu Kowalski IEEE International Symposium on Biomedical Imaging (ISBI), Jun 2009, Boston, France. pp.141 Conference papers hal-00424029v1
	Structured Sparsity: from Mixed Norms to Structured Shrinkage Matthieu Kowalski , Bruno Torrésani SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France Conference papers inria-00369577v1
	Décompositions parcimonieuses et persistantes de signaux multicanaux. Applications aux signaux MEEG. Matthieu Kowalski , Bruno Torrésani CAp 2008, May 2009, Porquerolles, France. p. 105-120 Conference papers hal-00347436v1
	Modèles aléatoires hiérarchiques pour la modélisation de signaux audio Matthieu Kowalski , Bruno Torrésani GRETSI 2009, Sep 2009, Dijon, France. pp.564 Conference papers hal-00424038v1
	A priori par normes mixtes pour les problèmes inverses Application à la localisation de sources en M/EEG Matthieu Kowalski , Alexandre Gramfort GRETSI 2009, Sep 2009, Dijon, France. pp.564 Conference papers hal-00424039v1
	Under-determined source separation via mixed-norm regularized minimization Matthieu Kowalski , Emmanuel Vincent , Rémi Gribonval European Signal Processing Conference 2008, Aug 2008, Lausanne, Switzerland. pp.1569103109 Conference papers hal-00347089v1
	Identification de signaux parcimonieux dans un dictionnaire hybride Matthieu Kowalski , Bruno Torrésani GRETSI 2007, Sep 2007, Troyes, France. pp.1249 Conference papers hal-00347437v1
	A family of random waveform models for audio coding Matthieu Kowalski , Bruno Torrésani ICASSP 2006, May 2006, Toulouse, France. pp.11024, ⟨10.1109/ICASSP.2006.1660693⟩ Conference papers hal-00347439v1
	A study of Bernoulli and structured random waveform models for audio signals Matthieu Kowalski , Bruno Torrésani SPARS 05, Nov 2005, Rennes, France. pp.TS2-1 Conference papers hal-00347440v1

	LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems Pierre Barbault , Matthieu Kowalski , Charles Soussen 2024 Preprints, Working Papers, ... hal-04542061v1

	Approximation des signaux: approches variationnelles et modèles aléatoires Matthieu Kowalski Mathématiques [math]. Université de Provence - Aix-Marseille I, 2008. Français. ⟨NNT : ⟩ Theses tel-00347441v1

	Sparse Wars Matthieu Kowalski Traitement du signal et de l'image [eess.SP]. Université paris sud, 2018 Habilitation à diriger des recherches tel-01868307v1

Matthieu Kowalski

Presentation

Publications

A Novel Integer Linear Programming Approach for Global L0 Minimization

Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation

Convex Optimization approach to signals with fast varying instantaneous frequency

Estimation with Low-Rank Time-Frequency Synthesis Models

Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation

Water Residence Time Estimation by 1D Deconvolution in the Form of a l 2 -Regularized Inverse Problem With Smoothness, Positivity and Causality Constraints

Revisiting Sparse ICA from a Synthesis Point of View: Blind Source Separation for Over and Underdetermined Mixture

Proximal Algorithm Meets a Conjugate descent

Toward a numerical deshaker for PFS

Sparse and structured decomposition of audio signals on hybrid dictionaries using musical priors

Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators

Adapted and adaptive linear time-frequency representations: a synthesis point of view

Time-Frequency Mixed-Norm Estimates: Sparse M/EEG imaging with non-stationary source activations

Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods

A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG

Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation

Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients

Sparse Regression Using Mixed Norms

Random models for sparse signals expansion on unions of bases with application to audio signals

A Hierarchical Deep Learning Approach for Minority Instrument Detection

From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients

Marginal MAP estimation of a Bernoulli-Gaussian signal: continuous relaxation approach

Estimation du MAP Marginal d'un signal Bernoulli-Gaussien: une approche par relaxation continue

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals

Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior

Understanding approximate and unrolled dictionary learning for pattern recovery

MIP and Set Covering approaches for Sparse Approximation

MIP and Set Covering approaches for Sparse Approximation

Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution

Sparsity and low-rank amplitude based blind Source Separation

Genre specific dictionaries for harmonic/percussive source separation

Social-sparsity brain decoders: faster spatial sparsity

Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise

A multi-dimensional meter-adaptive method for automatic segmentation of music

Hybrid sparse and low-rank time-frequency signal decomposition

Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation

Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio

Problèmes inverses avec dictionnaires temps-fréquences en présence de bruit Gaussien non blanc

A structured nonnegative matrix factorization for source separation

An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation

Hybrid model and structured sparsity for under-determined convolutive audio source separation

Audio Declipping with Social Sparsity

Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study

Low-Rank Time-Frequency Synthesis

Décomposition parcimonieuse structurée des signaux audio de musique guidée par l'information experte

Apprentissage à partir de noyaux multiples et indéfinis

Analytical model and spectral correction of vibration effects on Fourier transform spectrometer

Parcimonie Sociale et application à l'audio inpainting

Un algorithme de seuillage itératif non-supervisé pour la décomposition parcimonieuse de signaux dans des unions de dictionnaires

M/EEG source reconstruction based on Gabor thresholding in the source space

An Unsupervised Algorithm for Hybrid/Morphological Signal Decomposition

Sparse signal decomposition on hybrid dictionaries using musical priors

Accelerating ISTA with an active set strategy

Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries

Apport des dictionnaires temps-fréquence, de la parcimonie et des structures pour l'imagerie cérébrale fonctionnelle M/EEG

Sparsity and persistence in time-frequency sound representations

Multiple Indefinite Kernel Learning with Mixed Norm Regularization

Improving M/EEG source localization with an inter-condition sparse prior

Structured Sparsity: from Mixed Norms to Structured Shrinkage

Décompositions parcimonieuses et persistantes de signaux multicanaux. Applications aux signaux MEEG.

Modèles aléatoires hiérarchiques pour la modélisation de signaux audio

A priori par normes mixtes pour les problèmes inverses Application à la localisation de sources en M/EEG

Under-determined source separation via mixed-norm regularized minimization

Identification de signaux parcimonieux dans un dictionnaire hybride

A family of random waveform models for audio coding

A study of Bernoulli and structured random waveform models for audio signals

LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems

Approximation des signaux: approches variationnelles et modèles aléatoires

Sparse Wars