Florent BOUCHARD

Researcher

L2S, CentraleSupélec
Bât. Breguet C4.13A
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

+33 (0)1 69 85 17 31

Presentation

Journals

Riemannian geometry for compound Gaussian distributions: Application to recursive change detection

Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
Signal Processing, 2020

Approximate joint diagonalization with Riemannian optimization on the general linear group

Florent Bouchard, Bijan Afsari, Jérôme Malick, Marco Congedo
SIAM Journal on Matrix Analysis and Applications, 2020

Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation

Florent Bouchard, Jérôme Malick, Marco Congedo
IEEE Transactions on Signal Processing, 2018

Conferences

A Riemannian approach to blind separation of t-distributed sources

Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux
EUSIPCO 2020

Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources

Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac
2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2020)

RIEMANNIAN FRAMEWORK FOR ROBUST COVARIANCE MATRIX ESTIMATION IN SPIKED MODELS

Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal
IEEE ICASSP 2020

Random Matrix Improved Covariance Estimation for a Large Class of Metrics

Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet
ICML 2019 – 36th International Conference on Machine Learning

Dimensionality Reduction for BCI classification using Riemannian geometry

Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten
BCI 2017 – 7th International Brain-Computer Interface Conference

Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexes

Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac, Florent Bouchard
GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images

Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine

Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten
GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images

A Closed-Form Unsupervised Geometry-Aware Dimensionality Reduction Method in the Riemannian Manifold of SPD Matrices

Marco Congedo, Pedro Luiz Coelho Rodrigues, Florent Bouchard, Alexandre Barachant, Christian Jutten
EMBC 2017 – 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Approximate Joint Diagonalization According to the Natural Riemannian Distance

Florent Bouchard, Jérôme Malick, Marco Congedo
LVA/ICA 2017 – 13th International Conference on Latent Variable Analysis and Signal Separation

Approximate Joint Diagonalization within the Riemannian Geometry Framework

Florent Bouchard, Louis Korczowski, Jérôme Malick, Marco Congedo
EUSIPCO 2016 – 24th European Signal Processing Conference