a Family of Random Waveform Models for Audio Coding. - Matthieu Kowalski; Bruno Torrésani (ICASSP (3), 2006)

Under-determined source separation via mixed-norm regularized minimization. - Matthieu Kowalski; Emmanuel Vincent 001; Rémi Gribonval (EUSIPCO, 2008)

Random Models for Sparse Signals Expansion on Unions of Bases With Application to Audio Signals. - Matthieu Kowalski; Bruno Torrésani (IEEE Trans. Signal Process., 2008)

Multiple indefinite kernel learning with mixed norm regularization. - Matthieu Kowalski; Marie Szafranski; Liva Ralaivola (ICML, 2009)

Improving M/EEG Source Localization with an Inter-Condition Sparse Prior. - Alexandre Gramfort; Matthieu Kowalski (ISBI, 2009)

Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients. - Matthieu Kowalski; Bruno Torrésani (Signal Image Video Process., 2009)

Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation. - Matthieu Kowalski; Emmanuel Vincent 001; Rémi Gribonval (IEEE Trans. Speech Audio Process., 2010)

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)

An unsupervised algorithm for hybrid/morphological signal decomposition. - Matthieu Kowalski; Thomas Rodet (ICASSP, 2011)

Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. - Alexandre Gramfort; Daniel Strohmeier; Jens Haueisen; Matti S. Hämäläinen; Matthieu Kowalski (IPMI, 2011)

Sparse Signal Decomposition on Hybrid Dictionaries Using Musical Priors. - Hélène Papadopoulos; Matthieu Kowalski (ISMIR, 2011)

Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations. - Alexandre Gramfort; Daniel Strohmeier; Jens Haueisen; Matti S. Hämäläinen; Matthieu Kowalski (NeuroImage, 2013)

Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View. - Péter Balázs; Monika Dörfler; Matthieu Kowalski; Bruno Torrésani (IEEE Signal Process. Mag., 2013)

Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. - Matthieu Kowalski; Kai Siedenburg; Monika Dörfler (IEEE Trans. Signal Process., 2013)

Hybrid model and structured sparsity for under-determined convolutive audio source separation. - Fangchen Feng; Matthieu Kowalski (ICASSP, 2014)

Audio declipping with social sparsity. - Kai Siedenburg; Matthieu Kowalski; Monika Dörfler (ICASSP, 2014)

Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study. - Matthieu Kowalski (ICIP, 2014)

Low-Rank Time-Frequency Synthesis. - Cédric Févotte; Matthieu Kowalski (NIPS, 2014)

A multi-dimensional meter-adaptive method for automatic segmentation of music. - Cyril Gaudefroy; Hélène Papadopoulos; Matthieu Kowalski (CBMI, 2015)

An unified approach for blind source separation using sparsity and decorrelation. - Fangchen Feng; Matthieu Kowalski (EUSIPCO, 2015)

Hybrid sparse and low-rank time-frequency signal decomposition. - Cédric Févotte; Matthieu Kowalski (EUSIPCO, 2015)

Inverse problems with time-frequency dictionaries and non-white Gaussian noise. - Matthieu Kowalski; Alexandre Gramfort (EUSIPCO, 2015)

A structured nonnegative matrix factorization for source separation. - Clement Laroche; Matthieu Kowalski; Hélène Papadopoulos; Gaël Richard (EUSIPCO, 2015)

Genre Specific Dictionaries for Harmonic/Percussive Source Separation. - Clement Laroche; Hélène Papadopoulos; Matthieu Kowalski; Gaël Richard (ISMIR, 2016)

Social-sparsity brain decoders: faster spatial sparsity. - Gaël Varoquaux; Matthieu Kowalski; Bertrand Thirion (PRNI, 2016)

Sparsity and low-rank amplitude based blind Source Separation. - Fangchen Feng; Matthieu Kowalski (ICASSP, 2017)

Drum extraction in single channel audio signals using multi-layer Non negative Matrix Factor Deconvolution. - Clement Laroche; Hélène Papadopoulos; Matthieu Kowalski; Gaël Richard (ICASSP, 2017)

Sparse Wars. - Matthieu Kowalski (2018)

Water Residence Time estimation by 1D deconvolution in the form of a l2-regularized inverse problem with smoothness, positivity and causality constraints. - Alina-Georgiana Meresescu; Matthieu Kowalski; Frédéric Schmidt; François Landais (Comput. Geosci., 2018)

Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures. - Fangchen Feng; Matthieu Kowalski (Signal Process., 2018)

Hybrid Projective Nonnegative Matrix Factorization With Drum Dictionaries for Harmonic/Percussive Source Separation. - Clement Laroche; Matthieu Kowalski; Hélène Papadopoulos; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Estimation With Low-Rank Time-Frequency Synthesis Models. - Cédric Févotte; Matthieu Kowalski (IEEE Trans. Signal Process., 2018)

Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation. - Fangchen Feng; Matthieu Kowalski (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

MIP and Set Covering approaches for Sparse Approximation. - Diego Delle Donne; Matthieu Kowalski; Leo Liberti (CoRR, 2020)

Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems. - Benoît Malézieux; Thomas Moreau 001; Matthieu Kowalski (CoRR, 2021)

Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior. - Pierre Barbault; Matthieu Kowalski; Charles Soussen (ICASSP, 2022)

Understanding approximate and unrolled dictionary learning for pattern recovery. - Benoît Malézieux; Thomas Moreau 001; Matthieu Kowalski (ICLR, 2022)

Marginal MAP Estimation of a Bernoulli-Gaussian Signal: Continuous Relaxation Approach. - Pierre Barbault; Matthieu Kowalski; Charles Soussen (EUSIPCO, 2023)

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. - Clément Bonet; Benoît Malézieux; Alain Rakotomamonjy; Lucas Drumetz; Thomas Moreau 001; Matthieu Kowalski; Nicolas Courty (ICML, 2023)

A Novel Integer Linear Programming Approach for Global L0 Minimization. - Diego Delle Donne; Matthieu Kowalski; Leo Liberti (J. Mach. Learn. Res., 2023)

From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients. - Jean-Baptiste Malagnoux; Matthieu Kowalski (ICASSP, 2024)

Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. - Matthieu Kowalski; Benoît Malézieux; Thomas Moreau 001; Audrey Repetti (CoRR, 2024)

LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems. - Pierre Barbault; Matthieu Kowalski; Charles Soussen (IEEE Trans. Signal Process., 2025)

A Hierarchical Deep Learning Approach for Minority Instrument Detection. - Dylan Sechet; Francesca Bugiotti; Matthieu Kowalski; Edouard d'Hérouville; Filip Langiewicz (CoRR, 2025)

Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training. - Ismail Labiad; Mathurin Videau; Matthieu Kowalski; Marc Schoenauer; Alessandro Ferreira Leite; Julia Kempe; Olivier Teytaud (CoRR, 2025)