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Antoine Collas
Antoine Collas
INRIA, Université Paris-Saclay
Bestätigte E-Mail-Adresse bei inria.fr - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
152021
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
122020
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
102023
Entropic Wasserstein component analysis
A Collas, T Vayer, R Flamary, A Breloy
2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023
62023
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
62023
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
52023
Robust geometric metric learning
A Collas, A Breloy, G Ginolhac, C Ren, JP Ovarlez
2022 30th European Signal Processing Conference (EUSIPCO), 1447-1451, 2022
52022
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
52022
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
52021
The Fisher–Rao Geometry of CES Distributions
F Bouchard, A Breloy, A Collas, A Renaux, G Ginolhac
Elliptically Symmetric Distributions in Signal Processing and Machine …, 2024
42024
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
22024
Riemannian geometry for statistical estimation and learning: application to remote sensing
A Collas
Ph. D. dissertation, université Paris-Saclay, 2022
22022
Apprentissage robuste de distance par géométrie riemannienne
A Collas, A Breloy, G Ginolhac, C Ren, JP Ovarlez
GRETSI 2022 XXVIIIème colloque, 2022
22022
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
12024
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
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
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