Florent Bouchard

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 31

Top Venues

CoRR

ICASSP

EUSIPCO

IEEE Trans. Signal Process.

Grenoble Alpes University, France (PHD)

Education History

Grenoble Alpes University, France

PHD

Publications

Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR (2024)
Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy
Robust Low-Rank Correlation Fitting. ICASSP (2024)
Ammar Mian, Guillaume Ginolhac, Florent Bouchard, Arnaud Breloy
Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. Signal Process. 224 (2024)
Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac
The Fisher-Rao geometry of CES distributions. CoRR (2023)
Imen Ayadi, Florent Bouchard, Frédéric Pascal
t-WDA: A novel Discriminant Analysis applied to EEG classification. EUSIPCO (2023)
Florent Bouchard, Alexandre Renaux, Guillaume Ginolhac, Arnaud Breloy
Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation. CoRR (2023)
Imen Ayadi, Florent Bouchard, Frédéric Pascal
Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. ICASSP (2023)
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
Learning Graphical Factor Models with Riemannian Optimization. ECML/PKDD (4) (2023)
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
Riemannian Classification of EEG Signals with Missing Values. EUSIPCO (2022)
Alexandre Hippert-Ferrer, Florent Bouchard, Ammar Mian, Titouan Vayer, Arnaud Breloy
Learning Graphical Factor Models with Riemannian Optimization. CoRR (2022)
Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP (2022)
Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP (2021)
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Frédéric Pascal
A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. 69 (2021)
Alexandre Hippert-Ferrer, Ammar Mian, Florent Bouchard, Frédéric Pascal
Riemannian classification of EEG signals with missing values. CoRR (2021)
Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. EUSIPCO (2021)
Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. 69 (2021)
Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Process. 176 (2020)
Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac
Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. ICASSP (2020)
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux
A Riemannian approach to blind separation of t-distributed sources. EUSIPCO (2020)
Florent Bouchard, Bijan Afsari, Jérôme Malick, Marco Congedo
Approximate Joint Diagonalization with Riemannian Optimization on the General Linear Group. SIAM J. Matrix Anal. Appl. 41 (1) (2020)
Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP (2020)
Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR (2020)
Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. ICML (2019)
Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. CoRR (2019)
Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux, Florent Bouchard
Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions. IEEE Signal Process. Lett. 26 (2) (2019)
Florent Bouchard, Jérôme Malick, Marco Congedo
Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation. IEEE Trans. Signal Process. 66 (8) (2018)
Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten
Dimensionality Reduction for BCI Classification using Riemannian Geometry. GBCIC (2017)
Florent Bouchard, Jérôme Malick, Marco Congedo
Approximate Joint Diagonalization According to the Natural Riemannian Distance. LVA/ICA (2017)
Marco Congedo, Pedro Luiz Coelho Rodrigues, Florent Bouchard, Alexandre Barachant, Christian Jutten
A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices. EMBC (2017)
Florent Bouchard, Louis Korczowski, Jérôme Malick, Marco Congedo
Approximate joint diagonalization within the Riemannian geometry framework. EUSIPCO (2016)
Louis Korczowski, Florent Bouchard, Christian Jutten, Marco Congedo
Mining the bilinear structure of data with approximate joint diagonalization. EUSIPCO (2016)

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Publication Activity (10 Years)

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Florent Bouchard