Florent Bouchard

39
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Publications

Publications

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Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Florent Bouchard , Ammar Mian , Malik Tiomoko , Guillaume Ginolhac , Frédéric Pascal
International Conference on Machine Learning (ICML), Jul 2024, Vienna, Austria
Conference papers hal-04694884 v1
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Robust Low-Rank Correlation Fitting

Thu Ha Phi , Alexandre Hippert-Ferrer , Florent Bouchard , Arnaud Breloy
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Apr 2024, Séoul, South Korea. pp.9416-9420, ⟨10.1109/ICASSP48485.2024.10446634⟩
Conference papers hal-04642652 v1
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Leveraging Standardization in Graph Learning

Thu Ha Phi , Alexandre Hippert-Ferrer , Florent Bouchard , Arnaud Breloy
32nd European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. pp.2492-2496, ⟨10.23919/EUSIPCO63174.2024.10715401⟩
Conference papers hal-04952046 v1
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Estimation de barycentres sur variétés de Stiefel : une approche par projection

Nils Laurent , Florent Bouchard , Salem Said , Nicolas Le Bihan
GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France
Conference papers hal-04228051 v1
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t-WDA: A novel Discriminant Analysis applied to EEG classification

Imen Ayadi , Florent Bouchard , Frédéric Pascal
2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10289799⟩
Conference papers hal-04249018 v1
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Distribution matricielle t-Wishart : géométrie d'information, estimation et application pour la classification de signaux EEG

Imen Ayadi , Florent Bouchard , Frédéric Pascal
GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Conference papers hal-04226626 v1
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Learning Graphical Factor Models with Riemannian Optimization

Alexandre Hippert-Ferrer , Florent Bouchard , Ammar Mian , Titouan Vayer , Arnaud Breloy
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2023), Sep 2023, Torino, Italy. ⟨10.1007/978-3-031-43421-1_21⟩
Conference papers hal-04249001 v1
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Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry

Imen Ayadi , Florent Bouchard , Frédéric Pascal
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10096222⟩
Conference papers hal-04213775 v1
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Optimisation Riemannienne pour l'apprentissage de graphes structurés

Alexandre Hippert-Ferrer , Florent Bouchard , Ammar Mian , Titouan Vayer , Arnaud Breloy
GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.585-588
Conference papers hal-04228029 v1
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ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMS

Antoine Collas , Florent Bouchard , Guillaume Ginolhac , Arnaud Breloy , Chengfang Ren et al.
2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩
Conference papers hal-03752879 v1
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Riemannian classification of EEG signals with missing values

Alexandre Hippert-Ferrer , Ammar Mian , Florent Bouchard , Frédéric Pascal
30th European Signal Processing Conference (EUSIPCO 2022), Aug 2022, Belgrade, Serbia. ⟨10.23919/eusipco55093.2022.9909703⟩
Conference papers hal-03856816 v1
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A Tyler-type estimator of location and scatter leveraging Riemannian optimization

Antoine Collas , Florent Bouchard , A. Breloy , Chengfang Ren , Guillaume Ginolhac et al.
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩
Conference papers hal-03144104 v1
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On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data

Florent Bouchard , Arnaud Breloy , Ammar Mian , Guillaume Ginolhac
The 29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.856-859, ⟨10.23919/EUSIPCO54536.2021.9616101⟩
Conference papers hal-03521267 v1
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A Riemannian approach to blind separation of t-distributed sources

Florent Bouchard , Arnaud Breloy , Guillaume Ginolhac , Alexandre Renaux
2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. ⟨10.23919/eusipco47968.2020.9287783⟩
Conference papers hal-02988356 v1
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Riemannian framework for robust covariance matrix estimation in spiked models

Florent Bouchard , Arnaud Breloy , Guillaume Ginolhac , Frédéric Pascal
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9054726⟩
Conference papers hal-02571084 v1
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Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources

Florent Bouchard , Arnaud Breloy , Alexandre Renaux , Guillaume Ginolhac
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨10.1109/icassp40776.2020.9052996⟩
Conference papers hal-02571093 v1
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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, Jun 2019, Long Beach, United States
Conference papers hal-02152121 v1
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Bornes de Cramér-Rao Intrinsèques pour l'estimation de la matrice de dispersion normalisée dans les distributions elliptiques

Florent Bouchard , Arnaud Breloy , Alexandre Renaux , Guillaume Ginolhac
GRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France
Conference papers hal-02388701 v1
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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, Gernot R. Müller-Putz, Sep 2017, Graz, Austria. ⟨10.3217/978-3-85125-533-1-16⟩
Conference papers hal-01591258 v1
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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, Cédric Richard; Marc Antonini, Sep 2017, Juan-Les-Pins, France
Conference papers hal-01591252 v1
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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, Sep 2017, Juan-Les-Pins, France
Conference papers hal-01586939 v1
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Réduction de dimension pour la Séparation Aveugle de Sources

Florent Bouchard , Pedro Luiz Coelho Rodrigues , Jérôme Malick , Marco Congedo
GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-les-Pins, France
Conference papers hal-01589766 v1
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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, Feb 2017, Grenoble, France. pp.290-299, ⟨10.1007/978-3-319-53547-0_28⟩
Conference papers hal-01551813 v1
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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, IEEE, Jul 2017, Jeju Island, South Korea. pp.3198-3201, ⟨10.1109/EMBC.2017.8037537⟩
Conference papers hal-01563153 v1
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Mining the Bilinear Structure of Data with Approximate Joint Diagonalization

Louis Korczowski , Florent Bouchard , Christian Jutten , Marco Congedo
EUSIPCO 2016 - 24th European Signal Processing Conference, EURASIP, Aug 2016, Budapest, Hungary. pp.667-671
Conference papers hal-01357245 v1
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Approximate Joint Diagonalization within the Riemannian Geometry Framework

Florent Bouchard , Louis Korczowski , Jérôme Malick , Marco Congedo
EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.210-214, ⟨10.1109/EUSIPCO.2016.7760240⟩
Conference papers hal-01370052 v1
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Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models

Ammar Mian , Guillaume Ginolhac , Florent Bouchard , Arnaud Breloy
Signal Processing, 2024, 224, pp.109589. ⟨10.1016/j.sigpro.2024.109589⟩
Journal articles hal-04694905 v1
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Intrinsic Bayesian Cramér-Rao Bound with an Application to Covariance Matrix Estimation

Florent Bouchard , Alexandre Renaux , Guillaume Ginolhac , Arnaud Breloy
IEEE Transactions on Information Theory, In press, pp.1-1. ⟨10.1109/TIT.2024.3480280⟩
Journal articles hal-04770231 v1
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Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering

Antoine Collas , Florent Bouchard , Arnaud Breloy , Guillaume Ginolhac , Chengfang Ren et al.
IEEE Transactions on Signal Processing, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩
Journal articles hal-03521278 v1
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A Riemannian Framework for Low-Rank Structured Elliptical Models

Florent Bouchard , Arnaud Breloy , Guillaume Ginolhac , Alexandre Renaux , Frédéric Pascal
IEEE Transactions on Signal Processing, 2021, 69, pp.1185-1199. ⟨10.1109/TSP.2021.3054237⟩
Journal articles hal-03273062 v1
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On Riemannian and non-Riemannian Optimisation, and Optimisation Geometry

Jeanne Lefevre , Florent Bouchard , Salem Said , Nicolas Le Bihan , Jonathan H Manton
IFAC-PapersOnLine, 2021, 54 (9), pp.578-583. ⟨10.1016/j.ifacol.2021.06.119⟩
Journal articles hal-03376397 v1

Random matrix improved covariance estimation for a large class of metrics

Malik Tiomoko , Florent Bouchard , Guillaume Ginolhac , Romain Couillet
Journal of Statistical Mechanics: Theory and Experiment, 2020, 2020 (12), pp.124011. ⟨10.1088/1742-5468/abcaf2⟩
Journal articles hal-03273070 v1
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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, 41 (1), pp.152-170. ⟨10.1137/18M1232838⟩
Journal articles hal-02328480 v1
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Riemannian geometry for compound Gaussian distributions: Application to recursive change detection

Florent Bouchard , Ammar Mian , Jialun Zhou , Salem Said , Guillaume Ginolhac et al.
Signal Processing, 2020, 176, pp.107716. ⟨10.1016/j.sigpro.2020.107716⟩
Journal articles hal-02972691 v1
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Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions

Arnaud Breloy , Guillaume Ginolhac , Alexandre Renaux , Florent Bouchard
IEEE Signal Processing Letters, 2019, 26 (2), pp.262-266. ⟨10.1109/LSP.2018.2886700⟩
Journal articles hal-01975919 v1
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Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation

Florent Bouchard , Jérôme Malick , Marco Congedo
IEEE Transactions on Signal Processing, 2018, 66 (8), pp.2041-2054. ⟨10.1109/TSP.2018.2795539⟩
Journal articles hal-01875788 v1