Nombre de documents

49

CV de Matthieu Kowalski


Communication dans un congrès34 documents

  • Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard. Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution. ICASSP, Mar 2017, Nouvelle Orleans, United States. <hal-01438851>
  • Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion. Social-sparsity brain decoders: faster spatial sparsity. Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy. 2016, <http://prni2016.wix.com/prni2016>. <hal-01334551>
  • Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard. Genre specific dictionaries for harmonic/percussive source separation. ISMIR The 17th International Society for Music Information Retrieval Conference, Aug 2016, New York, United States. <hal-01353252>
  • Fangchen Feng, Matthieu Kowalski. Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation. Gretsi 2015, Sep 2015, Lyon, France. <hal-01199645>
  • Fangchen Feng, Matthieu Kowalski. An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation. Eusipco 2015, Aug 2015, Nice, France. 2015. <hal-01199620>
  • Clément Laroche, Matthieu Kowalski, Helene Papadopoulos, Gaël Richard. Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio. Gretsi 2015, Sep 2015, Lyon, France. <hal-01199648>
  • Matthieu Kowalski, Alexandre Gramfort. Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise. Eusipco 2015, Aug 2015, Nice, France. <hal-01199635>
  • Clément Laroche, Matthieu Kowalski, Helene Papadopoulos, Gaël Richard. A structured nonnegative matrix factorization for source separation. Eusipco 2015 - European Signal Processing Conference, Aug 2015, Nice, France. <hal-01199631>
  • Cédric Févotte, Matthieu Kowalski. Hybrid sparse and low-rank time-frequency signal decomposition. Eusipco 2015, Aug 2015, Nice, France. <hal-01199622>
  • Fangchen Feng, Matthieu Kowalski. HYBRID MODEL AND STRUCTURED SPARSITY FOR UNDER-DETERMINED CONVOLUTIVE AUDIO SOURCE SEPARATION. ICASSP 2014, May 2014, Florence, Italy. pp.AASP-P9.9, 2014. <hal-01002996>
  • Kai Siedenburg, Matthieu Kowalski, Monika Dörfler. AUDIO DECLIPPING WITH SOCIAL SPARSITY. ICASSP 2014, May 2014, Florence, Italy. pp.AASP-L2, 2014. <hal-01002998>
  • Matthieu Kowalski. THRESHOLDING RULES AND ITERATIVE SHRINKAGE/THRESHOLDING ALGORITHM: A CONVERGENCE STUDY. International Conference on Image Processing (ICIP) 2014, Oct 2014, La Défense, Paris, France. <hal-01102810>
  • Cédric Févotte, Matthieu Kowalski. Low-Rank Time-Frequency Synthesis. Advances in Neural Information Processing Systems (NIPS), Dec 2014, Montréal, France. <hal-01103496>
  • Kai Siedenburg, Monika Dörfler, Matthieu Kowalski. Parcimonie Sociale et application à l'audio inpainting. GRETSI 2013, Sep 2013, Brest, France. pp.ID351, 2013. <hal-00924700>
  • Hélène Papadopoulos, Matthieu Kowalski. Décomposition parcimonieuse structurée des signaux audio de musique guidée par l'information experte. GRETSI 2013, Sep 2013, Brest, France. 4 p., 2013. <hal-00829133>
  • Marie Szafranski, Matthieu Kowalski, Liva Ralaivola. Apprentissage à partir de noyaux multiples et indéfinis. Colloque du Groupement de Recherche et d'Étude en Traitement du signal et des Images (GRETSI), Sep 2013, Brest, France. 2013. <hal-00829879>
  • Daniel Strohmeier, Alexandre Gramfort, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. M/EEG source reconstruction based on Gabor thresholding in the source space. NFSI 2011, May 2011, Banff, Canada. 2011. <hal-00621044>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. Apport des dictionnaires temps-fréquence, de la parcimonie et des structures pour l'imagerie cérébrale fonctionnelle M/EEG. GRETSI 2011, Sep 2011, Bordeaux, France. pp.ID45, 2011. <hal-00621040>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hamalainen, Matthieu Kowalski. Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries. International Conference on Information Processing in Medical Imaging (IPMI '11), Jul 2011, Irsee, Germany. Springer, 6801, pp.600-611, 2011, Information Processing in Medical Imaging. <http://www.springerlink.com/content/mp7701m142193w83/>. <10.1007/978-3-642-22092-0_49>. <inria-00605502>
  • Matthieu Kowalski, Pierre Weiss, Alexandre Gramfort, Sandrine Anthoine. Accelerating ISTA with an active set strategy. OPT 2011: 4th International Workshop on Optimization for Machine Learning, Dec 2011, Sierra Nevada, Spain. pp.7, 2011. <hal-00696992v2>
  • Matthieu Kowalski, Thomas Rodet. An Unsupervised Algorithm for Hybrid/Morphological Signal Decomposition. International Conference on Acoustics, Speech and signal Processing, May 2011, Prague, Czech Republic. pp.4112-4115, 2011. <hal-00601138>
  • Matthieu Kowalski, Thomas Rodet. Un algorithme de seuillage itératif non-supervisé pour la décomposition parcimonieuse de signaux dans des unions de dictionnaires. GRETSI 2011, Sep 2011, Bordeaux, France. pp.ID46, 2011. <hal-00621031>
  • Hélène Papadopoulos, Matthieu Kowalski. Sparse signal decomposition on hybrid dictionaries using musical priors. ISMIR 2011, Oct 2011, Miami, United States. p.687-692, 2011. <hal-00621048>
  • Matthieu Kowalski, Bruno Torrésani. Décompositions parcimonieuses et persistantes de signaux multicanaux. Applications aux signaux MEEG.. CAp 2008, May 2009, Porquerolles, France. p. 105-120, 2008. <hal-00347436>
  • Matthieu Kowalski, Bruno Torrésani. Sparsity and persistence in time-frequency sound representations. Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville. Wavelets XIII, Aug 2009, San Diego, United States. SPIE, 7446, pp.74460F, 2009, Proceedings of SPIE. <10.1117/12.825220>. <hal-00422075>
  • Alexandre Gramfort, Matthieu Kowalski. Improving M/EEG source localization with an inter-condition sparse prior. IEEE International Symposium on Biomedical Imaging (ISBI), Jun 2009, Boston, France. pp.141, 2009. <hal-00424029>
  • Matthieu Kowalski, Bruno Torrésani. Modèles aléatoires hiérarchiques pour la modélisation de signaux audio. GRETSI 2009, Sep 2009, Dijon, France. pp.564, 2009. <hal-00424038>
  • Matthieu Kowalski, Alexandre Gramfort. A priori par normes mixtes pour les problèmes inverses Application à la localisation de sources en M/EEG. GRETSI 2009, Sep 2009, Dijon, France. pp.564, 2009. <hal-00424039>
  • Matthieu Kowalski, Bruno Torrésani. Structured Sparsity: from Mixed Norms to Structured Shrinkage. Rémi Gribonval. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Apr 2009, Saint Malo, France. 2009. <inria-00369577>
  • Matthieu Kowalski, Marie Szafranski, Liva Ralaivola. Multiple Indefinite Kernel Learning with Mixed Norm Regularization. International Conference on Machine Learning (ICML 2009), Jun 2009, Montreal, Canada. pp.520, 2009. <hal-00424033>
  • Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval. Under-determined source separation via mixed-norm regularized minimization. European Signal Processing Conference 2008, Aug 2008, Lausanne, Switzerland. pp.1569103109, 2008. <hal-00347089>
  • Matthieu Kowalski, Bruno Torrésani. Identification de signaux parcimonieux dans un dictionnaire hybride. GRETSI 2007, Sep 2007, Troyes, France. pp.1249, 2007. <hal-00347437>
  • Matthieu Kowalski, Bruno Torrésani. A family of random waveform models for audio coding. ICASSP 2006, May 2006, Toulouse, France. pp.11024, 2006, <10.1109/ICASSP.2006.1660693>. <hal-00347439>
  • Matthieu Kowalski, Bruno Torrésani. A study of Bernoulli and structured random waveform models for audio signals. SPARS 05, Nov 2005, Rennes, France. pp.TS2-1, 2005. <hal-00347440>

Article dans une revue11 documents

  • Frédéric Schmidt, Irina Shatalina, Matthieu Kowalski, Nicolas Gac, Bortolino Saggin, et al.. Toward a numerical deshaker for PFS. Planetary and Space Science, Elsevier, 2014, 91, pp.45 - 51. <10.1016/j.pss.2013.11.012>. <hal-01102830>
  • Hélène Papadopoulos, Matthieu Kowalski. Sparse and structured decomposition of audio signals on hybrid dictionaries using musical priors. Journal of the Acoustical Society of America, Acoustical Society of America, 2013, 134 (1), pp.666-685. <10.1121/1.4807821>. <hal-00823059v2>
  • Peter Balazs, Monika Dörfler, Matthieu Kowalski, Bruno Torrésani. Adapted and adaptive linear time-frequency representations: a synthesis point of view. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2013, 30 (6), pp.20-31. <10.1109/MSP.2013.2266075>. <hal-00863907>
  • Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti Hämäläinen, Matthieu Kowalski. Time-Frequency Mixed-Norm Estimates: Sparse M/EEG imaging with non-stationary source activations. NeuroImage, Elsevier, 2013, 70, pp.410-422. <http://www.ncbi.nlm.nih.gov/pubmed/23291276>. <10.1016/j.neuroimage.2012.12.051>. <hal-00773276>
  • Matthieu Kowalski, Kai Siedenburg, Monika Dörfler. Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2013, 61 (10), pp.2498 - 2511. <10.1109/TSP.2013.2250967>. <hal-00691774v3>
  • Alexandre Gramfort, Matthieu Kowalski, Matti Hämäläinen. Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods. Physics in Medicine and Biology, IOP Publishing, 2012, 57 (7), pp.1937-1961. <10.1088/0031-9155/57/7/1937>. <hal-00690774v2>
  • Matthieu Kowalski, Alexandre Gramfort. A priori par normes mixtes pour les problèmes inverses: Application à la localisation de sources en M/EEG. Traitement du Signal, Lavoisier, 2010, 27 (1), pp.51-76. <10.3166/Traitement du Signal.vol(27)51-76>. <hal-00473970v3>
  • Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval. Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2010, 18 (7), pp.1818 - 1829. <10.1109/TASL.2010.2050089>. <hal-00435897v3>
  • Matthieu Kowalski. Sparse Regression Using Mixed Norms. Applied and Computational Harmonic Analysis, Elsevier, 2009, 27 (3), pp.303-324. <10.1016/j.acha.2009.05.006>. <hal-00202904v4>
  • Matthieu Kowalski, Bruno Torrésani. Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients. Signal, Image and Video Processing, Springer Verlag, 2009, 3 (3), pp.251-264. <10.1007/s11760-008-0076-1>. <hal-00206245v3>
  • Matthieu Kowalski, Bruno Torrésani. Random models for sparse signals expansion on unions of bases with application to audio signals. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2008, 56 (8), pp.3468-3481. <10.1109/TSP.2008.920144>. <hal-00142088v2>

Pré-publication, Document de travail3 documents

  • Matthieu Kowalski, Adrien Meynard, Hau-Tieng Wu. Convex Optimization approach to signals with fast varying instantaneous frequency. 2016. <hal-01199615v2>
  • Fangchen Feng, Matthieu Kowalski. A Unified Approach for Over and Under-Determined Blind Source Separation Based on Both Sparsity and Decorrelation. 2016. <hal-01297471>
  • Matthieu Kowalski. Proximal Algorithm Meets a Conjugate descent. 2011. <hal-00505733v3>

Thèse1 document

  • Matthieu Kowalski. Approximation des signaux: approches variationnelles et modèles aléatoires. Mathématiques [math]. Université de Provence - Aix-Marseille I, 2008. Français. <tel-00347441>