Matthieu Kowalski's publications

Fangchen Feng, Matthieu Kowalski. Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019, 27 (2), pp.442-456. ⟨10.1109/taslp.2018.2881925⟩. ⟨hal-01760968⟩

Cédric Févotte, Matthieu Kowalski. Estimation with Low-Rank Time-Frequency Synthesis Models. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (15), pp.4121 - 4132. ⟨10.1109/TSP.2018.2844159⟩. ⟨hal-01680655v2⟩

Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard. Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation. IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2018, 26 (9), pp.1499-1511. ⟨10.1109/taslp.2018.2830116⟩. ⟨hal-01797151⟩

Fangchen Feng, Matthieu Kowalski. Revisiting Sparse ICA from a Synthesis Point of View: Blind Source Separation for Over and Underdetermined Mixture. Signal Processing, Elsevier, In press, ⟨10.1016/j.sigpro.2018.05.017⟩. ⟨hal-01297471v3⟩

Alina G. Meresescu, Matthieu Kowalski, Frédéric Schmidt, François Landais. Water Residence Time Estimation by 1D Deconvolution in the Form of a l 2 -Regularized Inverse Problem With Smoothness, Positivity and Causality Constraints. Computers & Geosciences, Elsevier, 2018, 115, pp.105-121. ⟨10.1016/j.cageo.2018.03.009⟩. ⟨hal-01735678⟩

Matthieu Kowalski, Adrien Meynard, Hau-Tieng Wu. Convex Optimization approach to signals with fast varying instantaneous frequency. Applied and Computational Harmonic Analysis, Elsevier, 2018, 44 (1), pp.89 - 122. ⟨10.1016/j.acha.2016.03.008⟩. ⟨hal-01199615v2⟩

Matthieu Kowalski. Proximal Algorithm Meets a Conjugate descent. Pacific journal of optimization, Yokohama Publishers, 2016, 12 (3), pp.669-695. ⟨hal-00505733v3⟩

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⟩

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⟩

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. ⟨10.1016/j.neuroimage.2012.12.051⟩. ⟨hal-00773276⟩

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/TraitementduSignal.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⟩

Pierre Barbault, Matthieu Kowalski, Charles Soussen. PARAMETER ESTIMATION IN SPARSE INVERSE PROBLEMS USING BERNOULLI-GAUSSIAN PRIOR. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing( ICASSP 2022 ), May 2022, Singapore, Singapore. ⟨hal-03576005⟩

Benoît Malézieux, Thomas Moreau, Matthieu Kowalski. Understanding approximate and unrolled dictionary learning for pattern recovery. International Conference on Learning Representations, Apr 2022, Online, France. ⟨hal-03258196v4⟩

Diego Delle Donne, Matthieu Kowalski, Leo Liberti. MIP and Set Covering approaches for Sparse Approximation. ROADEF -- congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Feb 2020, Montpellier, France. ⟨hal-03542690⟩

Diego Delle Donne, Matthieu Kowalski, Leo Liberti. MIP and Set Covering approaches for Sparse Approximation. iTwist 2020 - International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Jun 2020, Nantes, France. ⟨hal-03542681⟩

Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gael Richard. Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), Mar 2017, Nouvelle Orleans, United States. ⟨10.1109/icassp.2017.7952115⟩. ⟨hal-01438851⟩

Fangchen Feng, Matthieu Kowalski. Sparsity and low-rank amplitude based blind Source Separation. 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⟩. ⟨hal-01547459⟩

Clément Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gael Richard. Genre specific dictionaries for harmonic/percussive source separation. ISMIR 2016 - The 17th International Society for Music Information Retrieval Conference, Aug 2016, New York, United States. ⟨hal-01353252v2⟩

Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion. Social-sparsity brain decoders: faster spatial sparsity. Pattern Recognition in NeuroImaging, Jun 2016, Trento, Italy. ⟨hal-01334551⟩

Matthieu Kowalski, Alexandre Gramfort. Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise. 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. ⟨hal-01199635⟩

Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard. Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio. 25eme Colloque GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01199648⟩

Clément Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gael Richard. A structured nonnegative matrix factorization for source separation. 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. ⟨hal-01199631⟩

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. 25eme Colloque GRETSI 2015, Sep 2015, Lyon, France. ⟨hal-01199645⟩

Cédric Févotte, Matthieu Kowalski. Hybrid sparse and low-rank time-frequency signal decomposition. 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. ⟨hal-01199622⟩

Fangchen Feng, Matthieu Kowalski. An Unified Approach for Blind Source Separation Using Sparsity and Decorrelation. 23rd European Signal Processing Conference (EUSIPCO 2015), Aug 2015, Nice, France. ⟨hal-01199620⟩

Matthieu Kowalski. Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study . 21st IEEE International Conference on Image Processing (ICIP 2014), Oct 2014, La Défense, Paris, France. ⟨10.1109/icip.2014.7025843⟩. ⟨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, Matthieu Kowalski, Monika Dörfler. Audio Declipping with Social Sparsity. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp.AASP-L2. ⟨hal-01002998⟩

Fangchen Feng, Matthieu Kowalski. Hybrid model and structured sparsity for under-determined convolutive audio source separation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp.AASP-P9.9, ⟨10.1109/icassp.2014.6854893⟩. ⟨hal-01002996⟩

Marie Szafranski, Matthieu Kowalski, Liva Ralaivola. Apprentissage à partir de noyaux multiples et indéfinis. GRETSI 2013, Sep 2013, Brest, France. ⟨hal-00829879⟩

Hélène Papadopoulos, Matthieu Kowalski. Décomposition parcimonieuse structurée des signaux audio de musique guidée par l'information experte. GRETSI, Sep 2013, Brest, France. ⟨hal-00829133⟩

Kai Siedenburg, Monika Dörfler, Matthieu Kowalski. Parcimonie Sociale et application à l'audio inpainting. GRETSI 2013, Sep 2013, Brest, France. pp.ID351. ⟨hal-00924700⟩

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. ⟨hal-00621044⟩

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. ⟨hal-00601138⟩

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. ⟨hal-00696992v2⟩

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. pp.600-611, ⟨10.1007/978-3-642-22092-0_49⟩. ⟨inria-00605502⟩

Hélène Papadopoulos, Matthieu Kowalski. Sparse signal decomposition on hybrid dictionaries using musical priors. ISMIR 2011, Oct 2011, Miami, United States. p.687-692. ⟨hal-00621048⟩

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. ⟨hal-00621031⟩

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. ⟨hal-00621040⟩

Matthieu Kowalski, Bruno Torrésani. Sparsity and persistence in time-frequency sound representations. Wavelets XIII, Aug 2009, San Diego, United States. pp.74460F, ⟨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. ⟨hal-00424029⟩

Matthieu Kowalski, Bruno Torrésani. Structured Sparsity: from Mixed Norms to Structured Shrinkage. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France. ⟨inria-00369577⟩

Matthieu Kowalski, Bruno Torrésani. Décompositions parcimonieuses et persistantes de signaux multicanaux. Applications aux signaux MEEG.. CAp 2008, May 2009, Porquerolles, France. p. 105-120. ⟨hal-00347436⟩

Matthieu Kowalski, Bruno Torrésani. Modèles aléatoires hiérarchiques pour la modélisation de signaux audio. GRETSI 2009, Sep 2009, Dijon, France. pp.564. ⟨hal-00424038⟩

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. ⟨hal-00424033⟩

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. ⟨hal-00424039⟩

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. ⟨hal-00347089⟩

Matthieu Kowalski, Bruno Torrésani. Identification de signaux parcimonieux dans un dictionnaire hybride. GRETSI 2007, Sep 2007, Troyes, France. pp.1249. ⟨hal-00347437⟩

Matthieu Kowalski, Bruno Torrésani. A family of random waveform models for audio coding. ICASSP 2006, May 2006, Toulouse, France. pp.11024, ⟨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. ⟨hal-00347440⟩

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

Matthieu Kowalski. Sparse Wars. Traitement du signal et de l'image [eess.SP]. Université paris sud, 2018. ⟨tel-01868307⟩