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K. Matthieu, S. Kai, and D. Monika, Social sparsity ! neighborhood systems enrich structured shrinkage operators, IEEE transactions on signal processing, vol.61, pp.2498-2511, 2013.

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F. Fangchen, Séparation aveugle de source : de l, 2017.

S. Kai, K. Matthieu, and D. Monika, Audio declipping with social sparsity, Acoustics, Speech and Signal Processing, pp.1577-1581, 2014.

G. Alexandre, S. Daniel, H. Jens, S. Matti, . Hämäläinen et al., Time-frequency mixed-norm estimates : Sparse M/EEG imaging with non-stationary source activations, NeuroImage, vol.70, pp.410-422, 2013.

G. Alexandre, S. Daniel, H. Jens, H. Matti, and K. Matthieu, Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries, Information Processing in Medical Imaging, pp.600-611, 2011.

S. Daniel, G. Alexandre, H. Jens, H. Matti, and K. Matthieu, MEG/EEG source reconstruction based on Gabor thresholding in the source space, Noninvasive Functional Source Imaging of the Brain and Heart & 2011 8th International Conference on Bioelectromagnetism (NFSI & ICBEM), pp.103-108, 2011.

G. Alexandre and K. Matthieu, Improving m/eeg source localizationwith an inter-condition sparse prior, Biomedical Imaging : From Nano to Macro, pp.141-144, 2009.

K. Matthieu and G. Alexandre, Inverse problems with timefrequency dictionaries and non-white Gaussian noise, Signal Processing Conference (EUSIPCO), pp.1741-1745, 2015.

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A. Michal, E. Michael, and B. Alfred, r mk-SVD : An algorithm for designing overcomplete dictionaries for sparse representation, IEEE Transactions on signal processing, vol.54, issue.11, pp.4311-4322, 2006.

M. Julien, B. Francis, J. Ponce, and S. Guillermo, Online dictionary learning for sparse coding, Proceedings of the 26th annual international conference on machine learning, pp.689-696, 2009.

P. Hélene and K. Matthieu, Sparse and structured decomposition of audio signals on hybrid dictionaries using musical priors, The Journal of the Acoustical Society of America, vol.134, pp.666-685, 2013.

P. Hélene and K. Matthieu, Sparse signal decomposition on hybrid dictionaries using musical priors, p.687, 2011.

F. Fangchen and K. Matthieu, Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation, Gretsi 2015, 2015.

L. Clément, K. Matthieu, P. Helene, and R. Gaël, Méthode Structurée de décomposition en matrices non-négatives appliquéè a la séparation de sources audio, Gretsi 2015, 2015.

A. Matthieu, K. Frédéric, S. François, and L. , Estimation du Temps de Résidence Hydrologique : Déconvolution 1D, 2017.

G. Cyril, P. Hélène, and K. Matthieu, A multidimensional meter-adaptive method for automatic segmentation of music, Content-Based Multimedia Indexing (CBMI), pp.1-6, 2015.

S. Frédéric, S. Irina, K. Matthieu, G. Nicolas, S. Bortolino et al., Toward a numerical deshaker for PFS, Planetary and Space Science, vol.91, pp.45-51, 2014.

K. Matthieu and T. Bruno, Random models for sparse signals expansion on unions of bases with application to audio signals, IEEE Transactions on Signal Processing, vol.56, pp.3468-3481, 2008.

K. Matthieu and G. Alexandre, A priori par normes mixtes pour les problèmes inverses : Application à la localisation de sources en M/EEG, Traitement du Signal, vol.27, pp.51-76, 2010.

S. Irina, S. Frederic, S. Bortolino, G. Nicolas, K. Matthieu et al., Analytical model and spectral correction of vibration effects on Fourier transform spectrometer, SPIE Remote sensing 2013. T. 8890. 2013, pp.88900-88900

K. Matthieu, S. Marie, and R. Liva, Multiple indefinite kernel learning with mixed norm regularization, Proceedings of the 26th Annual International Conference on Machine Learning, pp.545-552, 2009.

K. Matthieu and T. Bruno, Structured sparsity : from mixed norms to structured shrinkage, SPARS'09-Signal Processing with Adaptive Sparse Structured Representations, 2009.

K. Matthieu, V. Emmanuel, and G. Rémi, Underdetermined source separation via mixed-norm regularized minimization, Signal Processing Conference, pp.1-5, 2008.

K. Matthieu and T. Bruno, A family of random waveform models for audio coding, Acoustics, Speech and Signal Processing, pp.p. III-III, 2006.

K. Matthieu and T. Bruno, A study of Bernoulli and structured random waveform models for audio signals, SPARS 05, pp.2-3, 2005.

K. Matthieu and G. Alexandre, Problemes inverses avec dictionnaires temps-fréquences en présence de bruit Gaussien non blanc, Gretsi 2015, 2015.

S. Kai, D. Monika, and K. Matthieu, Parcimonie Sociale et application à l'audio inpainting, GRETSI 2013, 2013.

P. Hélene and K. Matthieu, Décomposition parcimonieuse structurée des signaux audio de musique guidée par l'information experte, GRETSI 2013, p.4, 2013.

K. Matthieu and R. Thomas, Un algorithme de seuillage itératif non-supervisé pour la décomposition parcimonieuse de signaux dans des unions de dictionnaires, GRETSI 2011, 2011.

G. Alexandre, S. Daniel, H. Jens, H. Matti, and K. Matthieu, Apport des dictionnaires temps-fréquence, de la parcimonie et des structures pour l'imagerie cérébrale fonctionnelle M/EEG, GRETSI 2011, 2011.

K. Matthieu and G. Alexandre, A priori par normes mixtes pour les problèmes inverses Application à la localisation de sources en M/EEG, XXIIe colloque GRETSI (traitement du signal et des images), Dijon (FRA), 2009.

K. Matthieu and T. Bruno, Modèles aléatoires hiérarchiques pour la modélisation de signaux audio, XXIIe colloque GRETSI (traitement du signal et des images), 2009.

K. Matthieu and T. Bruno, Décompositions parcimonieuses et persistantes de signaux multicanaux, p.105, 2008.

K. Matthieu and T. Bruno, Identification de signaux parcimonieux dans un dictionnaire hybride, GRETSI 2007, p.1249, 2007.

J. Friedman, T. Hastie, and R. Tibshirani, A note on the group lasso and a sparse group lasso, 2010.

P. Weiss, Algorithmes rapides d'optimisation convexe. Applications à la reconstruction d'images et à la détection de changements, 2008.
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M. Elad, P. Milanfar, and R. Rubinstein, Analysis Versus Synthesis in Signal Priors, Inverse Problems, vol.23, pp.947-968, 2007.
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L. Jacob, G. Obozinski, and J. Vert, Group Lasso with Overlap and Graph Lasso, 2009.
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G. Obozinski, L. Jacob, and J. Vert, Group Lasso with Overlaps : the Latent Group Lasso approach, Rapp. tech, 2012.
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, Activités d'enseignement du Signal Cours spécialisé en Représentations parcimonieuses et applications du M2R ATSI (Automatique, Traitement du Signal et des Images). Cours de traitement du signal pour le M2

. Acoustique and . Responsable-de-la-partie, Signal" du cours Signaux et Systèmes Linéaires en L3-IST (Information, Systèmes et Technologie). C'est un cours de traitement du signal déterministe classique, qui introduit les représentations de Fourier

/. Algorithmique,

, Ancien responsable du cours d'algorithmique/C en L3-IST et en tronc commun de la 3ème année de la formation Polytech' Paris-Sud. Ce cours est un rappel/introduction de l'algorithmique et du langage C a un publique très hétérogène (étudiants venant de CPGE

, Responsable du cours de Probabilités en L3-IST à l'université Paris-Sud. Chargé de TD en 1ère année d'école d'ingénieur Centrale Marseille (ECM) et en L2-MASS (Mathématiques Appliquées aux Sciences Sociales). En L2-MASS, j'ai aussi assuré les cours d'atelier Statistique. En L3-MASS j'ai assuré le cours de statistique avec le logiciel R

, Le détail des principales activités est présenté dans le tableau et les descriptifs ci-après, auxquels s'ajoute les charges pédagogiques de jury ou d'encadrement obligatoires. Tous les documents produits (polys de cours, planche de TD, TP etc.) sont disponibles sur ma page web

, Cédric Févotte, Mario Figueiredo (Chair), Laurent Jacques, Nick Kingsbury, Membre Élu du comité de pilotage de SPARS Signal Processing with Adaptive Sparse Structured Representations. Membres actuels : Bubacarr Bah, Volkan Cevher, Maryam Fazel

, Responsable de l'organisation du second Workshop on Optimization for Image and Signal Processing

, Responsable de l'organisation du premier Workshop on Optimization for Image and Signal Processing

, Membre du comité local d'organisation de la conférence SAMPTA à Marseille

, SAMPTA09/)

, Membre du comité de sélection pour le poste de maître de conférence à l'univ, 611521.

, Membre du comité de sélection pour le poste de maître de conférence à l'IUT de Caen

. Examinateur-dans-le-jury-de-thèse-de-simon-leglaive, Titre de la thèse : Modèles de mélange pour la séparation multicanale de 10. Activités scientifiques sources sonores en milieu réverbérant, Membres du jury : Cédric Févotte

L. Girin,

N. Berty,

S. Gannot,

M. Kowalski,

R. Badeau,

G. Richard, , 2017.

C. Examinateur-dans-le-jury-de-thèse-de-facundo, Titre de la thèse : Bayesian M/EEG Source Localization with possible Joint Skull Conductivity Estimation. Membres du jury : David

L. Albera,

A. Ferrari,

M. Kowalski,

T. Oberlin,

J. Tourneret,

, Hadj Batatia (co-directeur de thèse)

T. Examinateur-dans-le-jury-de-thèse-de and . Peel, Titre de la thèse : Algorithmes de poursuite stochastiques et inégalités de concentration empiriques pour l'apprentissage statistique

, Laurent Daudet

N. Vayatis,

E. Debreuve,

M. Kowalski,

, Liva Ralaivola (directeur) Sandrine Anthoine (co-directeur de thèse)

. Examinateur-dans-le-jury-de-thèse-d'alexis and . Bénichoux, Titre de la thèse : Fonctions de coût pour l'estimation des filtres acoustiques dans les mélanges réverbérants, Membres du jury : Laurent Daudet

M. Nikolova,

E. Bacry,

M. Kowalski,

R. Gribonval,

E. Vincent, Université : Rennes I, 2011.

, Titre de la thèse : Sparse Models and Convex Optimisation for Convolutive Blind Source Separation, Membres du jury

, Mark PLUMBLEY (rapporteur

Z. Michael,

A. Abdeldjalil,

K. Matthieu,

G. Rémi, Université : Rennes I

P. Financement and . Gaspard,

, Membre du projets jeune chercheur BISOU BIStochastic Optimisation for mUltiple kernel learning

, Coordination Sandrine Anthoine (CR CNRS, LATP)

, Invité par Monika Döfler à L'Erwin Schroedinger Institute (Autriche) à l'occasion du workshop Modern Methods of TimeFrequency Analysis II

, Session orale Optimization methods for inverse problems in signal processing du workshop BASP frontier (Chair : Jalal Fadili)

, Journée du GDR ISIS Avancées récentes en traitement du signal audio organisée par Valentin Emiya et Cédric Févotte. Titre : '*-lasso therapy : parcimonie et structures, application à la séparation de sources et au débruitage

H. Papadopoulos, Responsable Scientifique lors de son année d'ATER à l'université Paris-Sud

F. Feng,

, Sujet Séparation aveugle de source dans le cas sous déterminé : de l

1. Encadrement,

, Soutenance : le 29 septembre 2017 devant le jury composé de : L. Daudet (président), Laurent Girin (rapporteur), Emmanuel Vincent (rapporteur)

, Articles

C. Laroche,

, Sujet Séparation aveugle de source dans le cas sous déterminé : de l

3. Encadrement and . Richard, HdR) et Hélène Papadopoulos

, Articles

, Poste actuel Ingénieur de Recherche chez GN Group (Danemark)

3. Encadrement, B. Co, and . Torrésani,

A. Meresescu,

, Sujet Déconvolution aveugle des spectrometres issu de l'instrument PFS embarqué à bord de Mars Express

5. Encadrement, Co-encadrement avec Frédéric Schmidt (HdR) Articles

, Titre Séparation aveugle de source dans le cas sous déterminé : utilisation de la parcimonie et de l'indépendance

, Titre Optimisation convexe pour la reconstruction de signaux à partir de l'amplitude de leur transformée de Fourier à court terme