
Florent Bouchard
39
Documents
Publications
Publications
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Beyond R-barycenters: an effective averaging method on Stiefel and Grassmann manifolds2025
Preprints, Working Papers, ...
hal-04905602
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Random matrix theory improved Fréchet mean of symmetric positive definite matricesInternational Conference on Machine Learning (ICML), Jul 2024, Vienna, Austria
Conference papers
hal-04694884
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Robust Low-Rank Correlation Fitting2024 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
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Leveraging Standardization in Graph Learning32nd European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. pp.2492-2496, ⟨10.23919/EUSIPCO63174.2024.10715401⟩
Conference papers
hal-04952046
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Estimation de barycentres sur variétés de Stiefel : une approche par projectionGRETSI 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
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t-WDA: A novel Discriminant Analysis applied to EEG classification2023 31st European Signal Processing Conference (EUSIPCO), Sep 2023, Helsinki, Finland. ⟨10.23919/eusipco58844.2023.10289799⟩
Conference papers
hal-04249018
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Distribution matricielle t-Wishart : géométrie d'information, estimation et application pour la classification de signaux EEGGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Conference papers
hal-04226626
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Learning Graphical Factor Models with Riemannian OptimizationJoint 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
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Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information GeometryICASSP 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
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Optimisation Riemannienne pour l'apprentissage de graphes structurésGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.585-588
Conference papers
hal-04228029
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ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMS2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩
Conference papers
hal-03752879
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Riemannian classification of EEG signals with missing values30th European Signal Processing Conference (EUSIPCO 2022), Aug 2022, Belgrade, Serbia. ⟨10.23919/eusipco55093.2022.9909703⟩
Conference papers
hal-03856816
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A Tyler-type estimator of location and scatter leveraging Riemannian optimization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩
Conference papers
hal-03144104
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On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed dataThe 29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland. pp.856-859, ⟨10.23919/EUSIPCO54536.2021.9616101⟩
Conference papers
hal-03521267
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A Riemannian approach to blind separation of t-distributed sources2020 28th European Signal Processing Conference (EUSIPCO), Jan 2021, Amsterdam, Netherlands. ⟨10.23919/eusipco47968.2020.9287783⟩
Conference papers
hal-02988356
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Riemannian framework for robust covariance matrix estimation in spiked modelsICASSP 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
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Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sourcesICASSP 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
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Random Matrix Improved Covariance Estimation for a Large Class of MetricsICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States
Conference papers
hal-02152121
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Bornes de Cramér-Rao Intrinsèques pour l'estimation de la matrice de dispersion normalisée dans les distributions elliptiquesGRETSI 2019 - XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France
Conference papers
hal-02388701
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Dimensionality Reduction for BCI classification using Riemannian geometryBCI 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
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Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machineGRETSI 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
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Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France
Conference papers
hal-01586939
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Réduction de dimension pour la Séparation Aveugle de SourcesGRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-les-Pins, France
Conference papers
hal-01589766
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Approximate Joint Diagonalization According to the Natural Riemannian DistanceLVA/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
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A Closed-Form Unsupervised Geometry-Aware Dimensionality Reduction Method in the Riemannian Manifold of SPD MatricesEMBC 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
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Mining the Bilinear Structure of Data with Approximate Joint DiagonalizationEUSIPCO 2016 - 24th European Signal Processing Conference, EURASIP, Aug 2016, Budapest, Hungary. pp.667-671
Conference papers
hal-01357245
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Approximate Joint Diagonalization within the Riemannian Geometry FrameworkEUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.210-214, ⟨10.1109/EUSIPCO.2016.7760240⟩
Conference papers
hal-01370052
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The Fisher-Rao geometry of CES distributionsSpringer. Elliptical Distributions in Signal Processing, In press
Book sections
hal-04225646
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Géométrie et optimisation riemannienne pour la diagonalisation conjointe : application à la séparation de sources d'électroencéphalogrammesTraitement du signal et de l'image [eess.SP]. Université Grenoble Alpes, 2018. Français. ⟨NNT : 2018GREAS030⟩
Theses
tel-02391422
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