Artikler med mandater om offentlig tilgang - Cédric FévotteLes mer
Tilgjengelige et eller annet sted: 39
Single-channel audio source separation with NMF: divergences, constraints and algorithms
C Févotte, E Vincent, A Ozerov
Audio Source Separation, 1-24, 2018
Mandater: European Commission
An inertial newton algorithm for deep learning
C Castera, J Bolte, C Févotte, E Pauwels
Journal of Machine Learning Research 22 (134), 1-31, 2021
Mandater: US Department of Defense, European Commission, Agence Nationale de la Recherche
Unbalanced optimal transport through non-negative penalized linear regression
L Chapel, R Flamary, H Wu, C Févotte, G Gasso
Advances in Neural Information Processing Systems 34, 23270-23282, 2021
Mandater: European Commission, Agence Nationale de la Recherche
Optimal spectral transportation with application to music transcription
R Flamary, C Févotte, N Courty, V Emiya
Advances in Neural Information Processing Systems (NIPS), 2016
Mandater: European Commission
Phase retrieval with Bregman divergences and application to audio signal recovery
PH Vial, P Magron, T Oberlin, C Févotte
IEEE Journal of Selected Topics in Signal Processing 15 (1), 51-64, 2021
Mandater: European Commission
Ordinal Non-negative Matrix Factorization for Recommendation
O Gouvert, T Oberlin, C Févotte
Proc. International Conference on Machine Learning (ICML), 2020
Mandater: European Commission, Agence Nationale de la Recherche
Factor analysis of dynamic PET images: beyond Gaussian noise
YC Cavalcanti, T Oberlin, N Dobigeon, C Févotte, S Stute, MJ Ribeiro, ...
IEEE Transactions on Medical Imaging, 2019
Mandater: European Commission
Multi-resolution beta-divergence NMF for blind spectral unmixing
V Leplat, N Gillis, C Févotte
Signal Processing 193, 108428, 2022
Mandater: European Commission
Matrix Co-Factorization for Cold-Start Recommendation.
O Gouvert, T Oberlin, C Févotte
Proc. Conference of the International Society for Music Information …, 2018
Mandater: European Commission
An introduction to multichannel NMF for audio source separation
A Ozerov, C Févotte, E Vincent
Audio Source Separation, 73-94, 2018
Mandater: European Commission
Neural content-aware collaborative filtering for cold-start music recommendation
P Magron, C Févotte
Data Mining and Knowledge Discovery 36 (5), 1971-2005, 2022
Mandater: European Commission
Expanding boundaries of Gap Safe screening
CF Dantas, E Soubies, C Févotte
Journal of Machine Learning Research 22 (236), 1-57, 2021
Mandater: European Commission
Bayesian mean-parameterized nonnegative binary matrix factorization
A Lumbreras, L Filstroff, C Févotte
Data Mining and Knowledge Discovery, 2020
Mandater: European Commission
Recommendation from Raw Data with Adaptive Compound Poisson Factorization
O Gouvert, T Oberlin, C Févotte
Proc. Conference on Uncertainty in Artificial Intelligence (UAI), 2019
Mandater: European Commission, Agence Nationale de la Recherche
Safe screening for sparse regression with the Kullback-Leibler divergence
CF Dantas, E Soubies, C Févotte
Icassp 2021-2021 ieee international conference on acoustics, speech and …, 2021
Mandater: European Commission
Second-order step-size tuning of SGD for non-convex optimization
C Castera, J Bolte, C Févotte, E Pauwels
Neural Processing Letters 54 (3), 1727-1752, 2022
Mandater: US Department of Defense, European Commission, Agence Nationale de la Recherche
Majorization-minimization Algorithms for Convolutive NMF with the Beta-divergence
D Fagot, H Wendt, C Févotte, P Smaragdis
Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2019
Mandater: US National Science Foundation, European Commission
Leveraging the structure of musical preference in content-aware music recommendation
P Magron, C Févotte
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Mandater: European Commission
Majorization-Minimization for Sparse Nonnegative Matrix Factorization With the -Divergence
A Marmin, JH de Morais Goulart, C Févotte
IEEE Transactions on Signal Processing 71, 1435-1447, 2023
Mandater: European Commission, Agence Nationale de la Recherche
Negative binomial matrix factorization
O Gouvert, T Oberlin, C Févotte
IEEE Signal Processing Letters 27, 815-819, 2020
Mandater: European Commission, Agence Nationale de la Recherche
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