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Number of documents

14

CV et Publications


Journal articles3 documents

  • Florent Bouchard, Bijan Afsari, Jérôme Malick, Marco Congedo. Approximate joint diagonalization with Riemannian optimization on the general linear group. SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics, 2020, 41 (1), pp.152-170. ⟨10.1137/18M1232838⟩. ⟨hal-02328480⟩
  • Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, et al.. Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Processing, Elsevier, 2020, 176, pp.107716. ⟨10.1016/j.sigpro.2020.107716⟩. ⟨hal-02972691⟩
  • Florent Bouchard, Jérôme Malick, Marco Congedo. Riemannian Optimization and Approximate Joint Diagonalization for Blind Source Separation. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2018, 66 (8), pp.2041-2054. ⟨10.1109/TSP.2018.2795539⟩. ⟨hal-01875788⟩

Conference papers11 documents

  • Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal. RIEMANNIAN FRAMEWORK FOR ROBUST COVARIANCE MATRIX ESTIMATION IN SPIKED MODELS. IEEE ICASSP 2020, May 2020, Barcelona, Spain. ⟨hal-02571084⟩
  • Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac. Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources. 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2020), May 2020, Barcelona, Spain. ⟨hal-02571093⟩
  • Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux. A Riemannian approach to blind separation of t-distributed sources. EUSIPCO 2020, Aug 2020, Amsterdam, France. ⟨hal-02988356⟩
  • Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac. Bornes de Cramér-Rao Intrinsèques pour l'estimation de la matrice de dispersion normalisée dans les distributions elliptiques. GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02388701⟩
  • Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet. Random Matrix Improved Covariance Estimation for a Large Class of Metrics. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. ⟨hal-02152121⟩
  • Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac, Florent Bouchard. Borne de Cramér-Rao intrinsèque pour la matrice de covariance des distributions elliptiques complexes. GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01586939⟩
  • Florent Bouchard, Jérôme Malick, Marco Congedo. Approximate Joint Diagonalization According to the Natural Riemannian Distance. 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⟩. ⟨hal-01551813⟩
  • Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Dimensionality Reduction for BCI classification using Riemannian geometry. BCI 2017 -7th Graz Brain-Computer Interface Conference, Gernot R. Müller-Putz, Sep 2017, Graz, Austria. ⟨10.3217/978-3-85125-533-1-16⟩. ⟨hal-01591258⟩
  • 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 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Jul 2017, Jeju Island, South Korea. pp.3198-3201. ⟨hal-01563153⟩
  • Pedro Luiz Coelho Rodrigues, Florent Bouchard, Marco Congedo, Christian Jutten. Géométrie Riemannienne appliquée à la réduction de la dimension de signaux EEG pour les interfaces cerveau-machine. GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Cédric Richard; Marc Antonini, Sep 2017, Juan-Les-Pins, France. ⟨hal-01591252⟩
  • Florent Bouchard, Louis Korczowski, Jérôme Malick, Marco Congedo. Approximate Joint Diagonalization within the Riemannian Geometry Framework. EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.210-214, ⟨10.1109/EUSIPCO.2016.7760240⟩. ⟨hal-01370052⟩