Antoine Collas

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Gaussian Distribution

Information Geometry

Top Venues

IEEE Trans. Signal Process.

Publications

Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment. CoRR (2024)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR (2024)
Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR (2024)
Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Alexandre Gramfort, Thomas Moreau, Rémi Flamary
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation. CoRR (2024)
Antoine Collas, Rémi Flamary, Alexandre Gramfort
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications. CoRR (2024)
Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac
The Fisher-Rao geometry of CES distributions. CoRR (2023)
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. IEEE Trans. Signal Process. 71 (2023)
Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
Entropic Wasserstein Component Analysis. MLSP (2023)
Alice Le Brigant, Jules Deschamps, Antoine Collas, Nina Miolane
Parametric Information Geometry with the Package Geomstats. ACM Trans. Math. Softw. 49 (4) (2023)
Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
Entropic Wasserstein Component Analysis. CoRR (2023)
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Robust Geometric Metric Learning. CoRR (2022)
Alice Le Brigant, Jules Deschamps, Antoine Collas, Nina Miolane
Parametric information geometry with the package Geomstats. CoRR (2022)
Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP (2022)
Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR (2022)
Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Robust Geometric Metric Learning. EUSIPCO (2022)
Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP (2021)
Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. 69 (2021)
Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)