Suivre
Florent Bouchard
Florent Bouchard
L2S, CNRS, CentraleSupélec, Univ. Paris Saclay
Adresse e-mail validée de cnrs.fr - Page d'accueil
Titre
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Année
Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions
A Breloy, G Ginolhac, A Renaux, F Bouchard
IEEE Signal Processing Letters 26 (2), 262-266, 2018
462018
Riemannian optimization and approximate joint diagonalization for blind source separation
F Bouchard, J Malick, M Congedo
IEEE Transactions on Signal Processing 66 (8), 2041-2054, 2018
292018
Approximate joint diagonalization with Riemannian optimization on the general linear group
F Bouchard, B Afsari, J Malick, M Congedo
SIAM Journal on Matrix Analysis and Applications 41 (1), 152-170, 2020
202020
Dimensionality Reduction for BCI classification using Riemannian geometry
PLC Rodrigues, F Bouchard, M Congedo, C Jutten
BCI 2017-7th International Brain-Computer Interface Conference, 2017
202017
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection
F Bouchard, A Mian, J Zhou, S Said, G Ginolhac, Y Berthoumieu
Signal Processing 176, 107716, 2020
162020
Random matrix improved covariance estimation for a large class of metrics
M Tiomoko, R Couillet, F Bouchard, G Ginolhac
International Conference on Machine Learning, 6254-6263, 2019
162019
A Riemannian framework for low-rank structured elliptical models
F Bouchard, A Breloy, G Ginolhac, A Renaux, F Pascal
IEEE Transactions on Signal Processing 69, 1185-1199, 2021
152021
A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices
M Congedo, PLC Rodrigues, F Bouchard, A Barachant, C Jutten
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
152017
Probabilistic PCA from heteroscedastic signals: geometric framework and application to clustering
A Collas, F Bouchard, A Breloy, G Ginolhac, C Ren, JP Ovarlez
IEEE Transactions on Signal Processing 69, 6546-6560, 2021
122021
Elliptical Wishart distribution: maximum likelihood estimator from information geometry
I Ayadi, F Bouchard, F Pascal
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
82023
Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources
F Bouchard, A Breloy, A Renaux, G Ginolhac
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
82020
Learning graphical factor models with riemannian optimization
A Hippert-Ferrer, F Bouchard, A Mian, T Vayer, A Breloy
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
72023
On the use of geodesic triangles between gaussian distributions for classification problems
A Collas, F Bouchard, G Ginolhac, A Breloy, C Ren, JP Ovarlez
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
62022
A Tyler-type estimator of location and scatter leveraging Riemannian optimization
A Collas, F Bouchard, A Breloy, C Ren, G Ginolhac, JP Ovarlez
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
62021
Approximate joint diagonalization according to the natural Riemannian distance
F Bouchard, J Malick, M Congedo
Latent Variable Analysis and Signal Separation: 13th International …, 2017
62017
Approximate joint diagonalization within the Riemannian geometry framework
F Bouchard, L Korczowski, J Malick, M Congedo
2016 24th European Signal Processing Conference (EUSIPCO), 210-214, 2016
62016
Mining the bilinear structure of data with approximate joint diagonalization
L Korczowski, F Bouchard, C Jutten, M Congedo
2016 24th European Signal Processing Conference (EUSIPCO), 667-671, 2016
52016
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data
F Bouchard, A Breloy, A Mian, G Ginolhac
2021 29th European Signal Processing Conference (EUSIPCO), 856-859, 2021
42021
The Fisher–Rao Geometry of CES Distributions
F Bouchard, A Breloy, A Collas, A Renaux, G Ginolhac
Elliptically Symmetric Distributions in Signal Processing and Machine …, 2024
32024
t-WDA: A novel Discriminant Analysis applied to EEG classification
I Ayadi, F Bouchard, F Pascal
2023 31st European Signal Processing Conference (EUSIPCO), 1793-1797, 2023
32023
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