Matthieu Kowalski

50 papers A* 3B 1C 1Misc 7Journal 24Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. SIAM J. Imaging Sci. Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti
2025	J	`jnl`	A Hierarchical Deep Learning Approach for Minority Instrument Detection. CoRR Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski, Edouard d'Hérouville, Filip Langiewicz
2025	J	`jnl`	LEMUR: Latent EM Unsupervised Regression for Sparse Inverse Problems. IEEE Trans. Signal Process. Pierre Barbault, Matthieu Kowalski, Charles Soussen
2025	J	`jnl`	RoseCDL: Robust and Scalable Convolutional Dictionary Learning for Rare-event Detection. CoRR Jad Yehya, Mansour Benbakoura, Cédric Allain, Benoît Malézieux, Matthieu Kowalski, Thomas Moreau
2025	J	`jnl`	Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training. CoRR Ismail Labiad, Mathurin Videau, Matthieu Kowalski, Marc Schoenauer, Alessandro Ferreira Leite, Julia Kempe, Olivier Teytaud
2024	J	`jnl`	Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms. CoRR Matthieu Kowalski, Benoît Malézieux, Thomas Moreau, Audrey Repetti
2024	Misc	`conf`	From Convolutional Sparse Coding To *-NMF Factorization of Time-Frequency Coefficients. ICASSP Jean-Baptiste Malagnoux, Matthieu Kowalski
2023	J	`jnl`	A Novel Integer Linear Programming Approach for Global L0 Minimization. J. Mach. Learn. Res. Diego Delle Donne, Matthieu Kowalski, Leo Liberti
2023	—	`conf`	Marginal MAP Estimation of a Bernoulli-Gaussian Signal: Continuous Relaxation Approach. EUSIPCO Pierre Barbault, Matthieu Kowalski, Charles Soussen
2023	A*	`conf`	Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2023	J	`jnl`	Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
2022	Misc	`conf`	Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior. ICASSP Pierre Barbault, Matthieu Kowalski, Charles Soussen
2022	A*	`conf`	Understanding approximate and unrolled dictionary learning for pattern recovery. ICLR Benoît Malézieux, Thomas Moreau, Matthieu Kowalski
2021	J	`jnl`	Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems. CoRR Benoît Malézieux, Thomas Moreau, Matthieu Kowalski
2020	J	`jnl`	MIP and Set Covering approaches for Sparse Approximation. CoRR Diego Delle Donne, Matthieu Kowalski, Leo Liberti
2019	J	`jnl`	Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation. IEEE ACM Trans. Audio Speech Lang. Process. Fangchen Feng, Matthieu Kowalski
2018	J	`jnl`	Estimation With Low-Rank Time-Frequency Synthesis Models. IEEE Trans. Signal Process. Cédric Févotte, Matthieu Kowalski
2018	J	`jnl`	Estimation with Low-Rank Time-Frequency Synthesis Models. CoRR Cédric Févotte, Matthieu Kowalski
2018	J	`jnl`	Hybrid Projective Nonnegative Matrix Factorization With Drum Dictionaries for Harmonic/Percussive Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. Clement Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gaël Richard
2018	J	`jnl`	Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures. Signal Process. Fangchen Feng, Matthieu Kowalski
2018	—	`book`	Sparse Wars. Matthieu Kowalski
2018	J	`jnl`	Water Residence Time estimation by 1D deconvolution in the form of a l2-regularized inverse problem with smoothness, positivity and causality constraints. Comput. Geosci. Alina-Georgiana Meresescu, Matthieu Kowalski, Frédéric Schmidt, François Landais
2017	Misc	`conf`	Drum extraction in single channel audio signals using multi-layer Non negative Matrix Factor Deconvolution. ICASSP Clement Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard
2017	Misc	`conf`	Sparsity and low-rank amplitude based blind Source Separation. ICASSP Fangchen Feng, Matthieu Kowalski
2016	—	`conf`	Genre Specific Dictionaries for Harmonic/Percussive Source Separation. ISMIR Clement Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard
2016	—	`conf`	Social-sparsity brain decoders: faster spatial sparsity. PRNI Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion
2016	J	`jnl`	Social-sparsity brain decoders: faster spatial sparsity. CoRR Gaël Varoquaux, Matthieu Kowalski, Bertrand Thirion
2015	C	`conf`	A multi-dimensional meter-adaptive method for automatic segmentation of music. CBMI Cyril Gaudefroy, Hélène Papadopoulos, Matthieu Kowalski
2015	—	`conf`	A structured nonnegative matrix factorization for source separation. EUSIPCO Clement Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gaël Richard
2015	—	`conf`	An unified approach for blind source separation using sparsity and decorrelation. EUSIPCO Fangchen Feng, Matthieu Kowalski
2015	—	`conf`	Hybrid sparse and low-rank time-frequency signal decomposition. EUSIPCO Cédric Févotte, Matthieu Kowalski
2015	—	`conf`	Inverse problems with time-frequency dictionaries and non-white Gaussian noise. EUSIPCO Matthieu Kowalski, Alexandre Gramfort
2014	Misc	`conf`	Audio declipping with social sparsity. ICASSP Kai Siedenburg, Matthieu Kowalski, Monika Dörfler
2014	Misc	`conf`	Hybrid model and structured sparsity for under-determined convolutive audio source separation. ICASSP Fangchen Feng, Matthieu Kowalski
2014	—	`conf`	Low-Rank Time-Frequency Synthesis. NIPS Cédric Févotte, Matthieu Kowalski
2014	B	`conf`	Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study. ICIP Matthieu Kowalski
2013	J	`jnl`	Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View. IEEE Signal Process. Mag. Péter Balázs, Monika Dörfler, Matthieu Kowalski, Bruno Torrésani
2013	J	`jnl`	Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators. IEEE Trans. Signal Process. Matthieu Kowalski, Kai Siedenburg, Monika Dörfler
2013	J	`jnl`	Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations. NeuroImage Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti S. Hämäläinen, Matthieu Kowalski
2011	Misc	`conf`	An unsupervised algorithm for hybrid/morphological signal decomposition. ICASSP Matthieu Kowalski, Thomas Rodet
2011	—	`conf`	Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries. IPMI Alexandre Gramfort, Daniel Strohmeier, Jens Haueisen, Matti S. Hämäläinen, Matthieu Kowalski
2011	—	`conf`	Sparse Signal Decomposition on Hybrid Dictionaries Using Musical Priors. ISMIR Hélène Papadopoulos, Matthieu Kowalski
2010	J	`jnl`	A priori par normes mixtes pour les problèmes inverses. Application à la localisation de sources en M/EEG. Traitement du Signal Matthieu Kowalski, Alexandre Gramfort
2010	J	`jnl`	Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation. IEEE Trans. Speech Audio Process. Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval
2009	—	`conf`	Improving M/EEG Source Localization with an Inter-Condition Sparse Prior. ISBI Alexandre Gramfort, Matthieu Kowalski
2009	A*	`conf`	Multiple indefinite kernel learning with mixed norm regularization. ICML Matthieu Kowalski, Marie Szafranski, Liva Ralaivola
2009	J	`jnl`	Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients. Signal Image Video Process. Matthieu Kowalski, Bruno Torrésani
2008	J	`jnl`	Random Models for Sparse Signals Expansion on Unions of Bases With Application to Audio Signals. IEEE Trans. Signal Process. Matthieu Kowalski, Bruno Torrésani
2008	—	`conf`	Under-determined source separation via mixed-norm regularized minimization. EUSIPCO Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval
2006	—	`conf`	a Family of Random Waveform Models for Audio Coding. ICASSP (3) Matthieu Kowalski, Bruno Torrésani