| Robust Low-Rank Change Detection for Multivariate SAR Image Time Series A Mian, A Collas, A Breloy, G Ginolhac, JP Ovarlez IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 11 | 2020 |
| 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, 2021 | 9 | 2021 |
| Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling A Mellot, A Collas, PLC Rodrigues, D Engemann, A Gramfort Imaging Neuroscience 1, 1-23, 2023 | 6 | 2023 |
| Parametric information geometry with the package Geomstats A Le Brigant, J Deschamps, A Collas, N Miolane ACM Transactions on Mathematical Software 49 (4), 1-26, 2023 | 5 | 2023 |
| Entropic Wasserstein component analysis A Collas, T Vayer, R Flamary, A Breloy 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | 5 | 2023 |
| Riemannian optimization for non-centered mixture of scaled Gaussian distributions A Collas, A Breloy, C Ren, G Ginolhac, JP Ovarlez IEEE Transactions on Signal Processing, 2023 | 5 | 2023 |
| 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 |
| Robust geometric metric learning A Collas, A Breloy, G Ginolhac, C Ren, JP Ovarlez 2022 30th European Signal Processing Conference (EUSIPCO), 1447-1451, 2022 | 4 | 2022 |
| The Fisher-Rao geometry of CES distributions F Bouchard, A Breloy, A Collas, A Renaux, G Ginolhac arXiv preprint arXiv:2310.01032, 2023 | 2 | 2023 |
| Apprentissage robuste de distance par géométrie riemannienne A Collas, A Breloy, G Ginolhac, C Ren, JP Ovarlez GRETSI 2022 XXVIIIème colloque, 2022 | 2 | 2022 |
| Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets A Mellot, A Collas, S Chevallier, D Engemann, A Gramfort arXiv preprint arXiv:2403.15415, 2024 | 1 | 2024 |
| Riemannian geometry for statistical estimation and learning: application to remote sensing A Collas Ph. D. dissertation, université Paris-Saclay, 2022 | 1 | 2022 |
| Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment T Gnassounou, A Collas, R Flamary, K Lounici, A Gramfort arXiv preprint arXiv:2407.14303, 2024 | | 2024 |
| SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation Y Lalou, T Gnassounou, A Collas, A de Mathelin, O Kachaiev, A Odonnat, ... arXiv preprint arXiv:2407.11676, 2024 | | 2024 |
| Geodesic Optimization for Predictive Shift Adaptation on EEG data A Mellot, A Collas, S Chevallier, A Gramfort, DA Engemann arXiv preprint arXiv:2407.03878, 2024 | | 2024 |
| Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications A Collas, R Flamary, A Gramfort arXiv preprint arXiv:2402.03345, 2024 | | 2024 |
| scikit-adaptation/skada T Gnassounou, O Kachaiev, R Flamary, A Collas, Y Lalou, A de Mathelin, ... | | 2024 |
Arnaud BreloyCNAM在 lecnam.net 的电子邮件经过验证
