Matthieu Kowalski
Matthieu Kowalski
Universite Paris-Saclay
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Zitiert von
Zitiert von
Sparse regression using mixed norms
M Kowalski
Applied and Computational Harmonic Analysis 27 (3), 303-324, 2009
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
A Gramfort, D Strohmeier, J Haueisen, MS Hämäläinen, M Kowalski
NeuroImage 70, 410-422, 2013
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods
A Gramfort, M Kowalski, M Hämäläinen
Physics in Medicine & Biology 57 (7), 1937, 2012
Sparsity and Persistence: mixed norms provide simple signal models with dependent coefficients, Signal
M Kowalski, B Torrésani
Signal Image and Video Processing 3 (3), 251-264, 2009
Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators
M Kowalski, K Siedenburg, M Dörfler
Signal Processing, IEEE Transactions on 61 (10), 2498-2511, 2013
Audio declipping with social sparsity
K Siedenburg, M Kowalski, M Dörfler
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Beyond the narrowband approximation: Wideband convex methods for under-determined reverberant audio source separation
M Kowalski, E Vincent, R Gribonval
IEEE Transactions on Audio, Speech, and Language Processing 18 (7), 1818-1829, 2010
Structured sparsity: From mixed norms to structured shrinkage
M Kowalski, B Torrésani
SPARS'09, 2009
Multiple indefinite kernel learning with mixed norm regularization
M Kowalski, M Szafranski, L Ralaivola
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Functional brain imaging with M/EEG using structured sparsity in time-frequency dictionaries
A Gramfort, D Strohmeier, J Haueisen, M Hamalainen, M Kowalski
Information Processing in Medical Imaging: 22nd International Conference …, 2011
Adapted and adaptive linear time-frequency representations: a synthesis point of view
P Balazs, M Dörfler, M Kowalski, B Torrésani
IEEE Signal Processing Magazine 30 (6), 20-31, 2013
Convex optimization approach to signals with fast varying instantaneous frequency
M Kowalski, A Meynard, H Wu
Applied and computational harmonic analysis 44 (1), 89-122, 2018
Improving m/eeg source localizationwith an inter-condition sparse prior
A Gramfort, M Kowalski
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009
Thresholding rules and iterative shrinkage/thresholding algorithm: A convergence study
M Kowalski
2014 IEEE International Conference on Image Processing (ICIP), 4151-4155, 2014
Underdetermined reverberant blind source separation: Sparse approaches for multiplicative and convolutive narrowband approximation
F Feng, M Kowalski
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (2), 442-456, 2018
Random models for sparse signals expansion on unions of bases with application to audio signals
M Kowalski, B Torrésani
IEEE Transactions on Signal Processing 56 (8), 3468-3481, 2008
Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures
F Feng, M Kowalski
Signal Processing 152, 165-177, 2018
Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution
C Laroche, H Papadopoulos, M Kowalski, G Richard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
A structured nonnegative matrix factorization for source separation
C Laroche, M Kowalski, H Papadopoulos, G Richard
2015 23rd European Signal Processing Conference (EUSIPCO), 2033-2037, 2015
Low-rank time-frequency synthesis
C Févotte, M Kowalski
Advances in Neural Information Processing Systems 27, 2014
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