| Intrinsic Cramér–Rao bounds for scatter and shape matrices estimation in CES distributions A Breloy, G Ginolhac, A Renaux, F Bouchard IEEE Signal Processing Letters 26 (2), 262-266, 2018 | 37 | 2018 |
| Riemannian optimization and approximate joint diagonalization for blind source separation F Bouchard, J Malick, M Congedo IEEE Transactions on Signal Processing 66 (8), 2041-2054, 2018 | 27 | 2018 |
| Dimensionality Reduction for BCI classification using Riemannian geometry PLC Rodrigues, F Bouchard, M Congedo, C Jutten BCI 2017-7th International Brain-Computer Interface Conference, 2017 | 21 | 2017 |
| Approximate joint diagonalization with Riemannian optimization on the general linear group F Bouchard, B Afsari, J Malick, M Congedo SIAM Journal on Matrix Analysis and Applications 41 (1), 152-170, 2020 | 18 | 2020 |
| A closed-form unsupervised geometry-aware dimensionality reduction method in the Riemannian Manifold of SPD matrices M Congedo, PLC Rodrigues, F Bouchard, A Barachant, C Jutten 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 14 | 2017 |
| Riemannian geometry for compound Gaussian distributions: Application to recursive change detection F Bouchard, A Mian, J Zhou, S Said, G Ginolhac, Y Berthoumieu Signal Processing 176, 107716, 2020 | 13 | 2020 |
| Random matrix improved covariance estimation for a large class of metrics M Tiomoko, R Couillet, F Bouchard, G Ginolhac International Conference on Machine Learning, 6254-6263, 2019 | 13 | 2019 |
| A Riemannian framework for low-rank structured elliptical models F Bouchard, A Breloy, G Ginolhac, A Renaux, F Pascal IEEE Transactions on Signal Processing 69, 1185-1199, 2021 | 12 | 2021 |
| Probabilistic PCA from heteroscedastic signals: geometric framework and application to clustering A Collas, F Bouchard, A Breloy, G Ginolhac, C Ren, JP Ovarlez IEEE Transactions on Signal Processing 69, 6546-6560, 2021 | 8 | 2021 |
| Riemannian geometry and Cramér-Rao bound for blind separation of Gaussian sources F Bouchard, A Breloy, A Renaux, G Ginolhac ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 7 | 2020 |
| Approximate joint diagonalization according to the natural Riemannian distance F Bouchard, J Malick, M Congedo Latent Variable Analysis and Signal Separation: 13th International …, 2017 | 6 | 2017 |
| Approximate joint diagonalization within the Riemannian geometry framework F Bouchard, L Korczowski, J Malick, M Congedo 2016 24th European Signal Processing Conference (EUSIPCO), 210-214, 2016 | 6 | 2016 |
| On the use of geodesic triangles between gaussian distributions for classification problems A Collas, F Bouchard, G Ginolhac, A Breloy, C Ren, JP Ovarlez ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| A Tyler-type estimator of location and scatter leveraging Riemannian optimization A Collas, F Bouchard, A Breloy, C Ren, G Ginolhac, JP Ovarlez ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 5 | 2021 |
| Mining the bilinear structure of data with approximate joint diagonalization L Korczowski, F Bouchard, C Jutten, M Congedo 2016 24th European Signal Processing Conference (EUSIPCO), 667-671, 2016 | 5 | 2016 |
| Elliptical Wishart distribution: maximum likelihood estimator from information geometry I Ayadi, F Bouchard, F Pascal ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Learning graphical factor models with riemannian optimization A Hippert-Ferrer, F Bouchard, A Mian, T Vayer, A Breloy Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 3 | 2023 |
| On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data F Bouchard, A Breloy, A Mian, G Ginolhac 2021 29th European Signal Processing Conference (EUSIPCO), 856-859, 2021 | 3 | 2021 |
| Riemannian framework for robust covariance matrix estimation in spiked models F Bouchard, A Breloy, G Ginolhac, F Pascal ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| t-WDA: A novel Discriminant Analysis applied to EEG classification I Ayadi, F Bouchard, F Pascal 2023 31st European Signal Processing Conference (EUSIPCO), 1793-1797, 2023 | 1 | 2023 |
