Antoine Collas

According to our database, Antoine Collas authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment.

Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort

CoRR, 2024

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation.

Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Alexandre Gramfort, Thomas Moreau, Rémi Flamary

CoRR, 2024

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications.

Antoine Collas, Rémi Flamary, Alexandre Gramfort

CoRR, 2024

Geodesic Optimization for Predictive Shift Adaptation on EEG data.

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets.

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Parametric Information Geometry with the Package Geomstats.

Alice Le Brigant, Jules Deschamps, Antoine Collas, Nina Miolane

ACM Trans. Math. Softw., December, 2023

Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions.

Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez

IEEE Trans. Signal Process., 2023

The Fisher-Rao geometry of CES distributions.

Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac

CoRR, 2023

Entropic Wasserstein Component Analysis.

Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2022

Géométrie riemannienne pour l'estimation et l'apprentissage statistiques : application à la télédétection. (Riemannian geometry for statistical estimation and learning : application to remote sensing).

Antoine Collas

PhD thesis, 2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Geometric Metric Learning.

Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering.

Antoine Collas, Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez

IEEE Trans. Signal Process., 2021

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization.

Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Robust Low-Rank Change Detection for Multivariate SAR Image Time Series.

Ammar Mian, Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020