Matthieu Kowalski

Orcid: 0000-0002-9981-237X

According to our database1, Matthieu Kowalski authored at least 39 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.
Proceedings of the International Conference on Machine Learning, 2023

Marginal MAP Estimation of a Bernoulli-Gaussian Signal: Continuous Relaxation Approach.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Understanding approximate and unrolled dictionary learning for pattern recovery.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Parameter Estimation in Sparse Inverse Problems Using Bernoulli-Gaussian Prior.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Dictionary and prior learning with unrolled algorithms for unsupervised inverse problems.
CoRR, 2021

2020
MIP and Set Covering approaches for Sparse Approximation.
CoRR, 2020

2019
Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

2018
Estimation With Low-Rank Time-Frequency Synthesis Models.
IEEE Trans. Signal Process., 2018

Hybrid Projective Nonnegative Matrix Factorization With Drum Dictionaries for Harmonic/Percussive Source Separation.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Revisiting sparse ICA from a synthesis point of view: Blind Source Separation for over and underdetermined mixtures.
Signal Process., 2018

Water Residence Time estimation by 1D deconvolution in the form of a l2-regularized inverse problem with smoothness, positivity and causality constraints.
Comput. Geosci., 2018

Sparse Wars.
, 2018

2017
Drum extraction in single channel audio signals using multi-layer Non negative Matrix Factor Deconvolution.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sparsity and low-rank amplitude based blind Source Separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Social-sparsity brain decoders: faster spatial sparsity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

Genre Specific Dictionaries for Harmonic/Percussive Source Separation.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
A structured nonnegative matrix factorization for source separation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Inverse problems with time-frequency dictionaries and non-white Gaussian noise.
Proceedings of the 23rd European Signal Processing Conference, 2015

Hybrid sparse and low-rank time-frequency signal decomposition.
Proceedings of the 23rd European Signal Processing Conference, 2015

An unified approach for blind source separation using sparsity and decorrelation.
Proceedings of the 23rd European Signal Processing Conference, 2015

A multi-dimensional meter-adaptive method for automatic segmentation of music.
Proceedings of the 13th International Workshop on Content-Based Multimedia Indexing, 2015

2014
Low-Rank Time-Frequency Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Thresholding RULES and iterative shrinkage/thresholding algorithm: A convergence study.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Audio declipping with social sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hybrid model and structured sparsity for under-determined convolutive audio source separation.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators.
IEEE Trans. Signal Process., 2013

Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View.
IEEE Signal Process. Mag., 2013

Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations.
NeuroImage, 2013

2011
Sparse Signal Decomposition on Hybrid Dictionaries Using Musical Priors.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries.
Proceedings of the Information Processing in Medical Imaging, 2011

An unsupervised algorithm for hybrid/morphological signal decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
A priori par normes mixtes pour les problèmes inverses. Application à la localisation de sources en M/EEG.
Traitement du Signal, 2010

Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation.
IEEE Trans. Speech Audio Process., 2010

2009
Sparsity and persistence: mixed norms provide simple signal models with dependent coefficients.
Signal Image Video Process., 2009

Improving M/EEG Source Localization with an Inter-Condition Sparse Prior.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Multiple indefinite kernel learning with mixed norm regularization.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Random Models for Sparse Signals Expansion on Unions of Bases With Application to Audio Signals.
IEEE Trans. Signal Process., 2008

Under-determined source separation via mixed-norm regularized minimization.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2006
a Family of Random Waveform Models for Audio Coding.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006


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