| 2024 | ICASSP | Robust Low-Rank Correlation Fitting. | Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy |
| 2024 | ICML | Random matrix theory improved Frchet mean of symmetric positive definite matrices. | Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frdric Pascal |
| 2023 | ICASSP | Elliptical Wishart Distribution: Maximum Likelihood Estimator from Information Geometry. | Imen Ayadi, Florent Bouchard, Frdric Pascal |
| 2022 | ICASSP | On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. | Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez |
| 2021 | ICASSP | A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. | Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez |
| 2020 | ICASSP | Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. | Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frdric Pascal |
| 2020 | ICASSP | Riemannian Geometry and Cramr-rao Bound for Blind Separation of Gaussian Sources. | Florent Bouchard, Arnaud Breloy, Alexandre Renaux, Guillaume Ginolhac |
| 2019 | ICML | Random Matrix Improved Covariance Estimation for a Large Class of Metrics. | Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac |