Antoine Collas

Présentation

I am currently a PhD student at SONDRA - CentraleSupelec.

My research interests are :

structured covariance estimation

optimization

clustering (and more generally machine learning)

change detection

image segmentation

SAR images

Publications

Article dans une revue (4)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou,Theo Gnassounou,Antoine Collas,Antoine de Mathelin,Oleksii Kachaievet al. Transactions on Machine Learning Research Journal, 2025, pp.1-48 Article dans une revue hal-05376502v1
Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling Apolline Mellot,Antoine Collas,Pedro Luiz Coelho Rodrigues,Denis Engemann,Alexandre Gramfort Imaging Neuroscience, 2023, 1, pp.1-26. ⟨10.1162/imag_a_00040⟩ Article dans une revue hal-04328670v1
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering Antoine Collas,Florent Bouchard,Arnaud Breloy,Guillaume Ginolhac,Chengfang Renet al. IEEE Transactions on Signal Processing, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩ Article dans une revue hal-03521278v1
Robust Low-rank Change Detection for SAR Image Time Series Ammar Mian,Antoine Collas,Arnaud Breloy,Guillaume Ginolhac,Jean-Philippe Ovarlez IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.3545-3556. ⟨10.1109/JSTARS.2020.2999615⟩ Article dans une revue hal-02345330v2

Communication dans un congrès (9)

Riemannian flow matching for brain connectivity matrices via pullback geometry Antoine Collas,Ce Ju,Nicolas Salvy,Bertrand Thirion NeurIPS 2025 - Thirty-Ninth Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego, United States Communication dans un congrès hal-05369430v1
Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction Joseph Paillard,Antoine Collas,Denis A Engemann,Bertrand Thirion IPMI 2025 - Information Processing in Medical Imaging, May 2025, Kos Island, Greece. pp.79-93, ⟨10.1007/978-3-031-96625-5_6⟩ Communication dans un congrès hal-05207600v1
Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets Apolline Mellot,Antoine Collas,Sylvain Chevallier,Denis Engemann,Alexandre Gramfort EUSIPCO 2024 - 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.48550/arXiv.2403.15415⟩ Communication dans un congrès hal-04716030v1
Geodesic optimization for predictive shift adaptation on EEG data Apolline Mellot,Antoine Collas,Sylvain Chevallier,Alexandre Gramfort,Denis Engemann NeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada Communication dans un congrès hal-04902523v1
Entropic Wasserstein component analysis Antoine Collas,Titouan Vayer,Rémi Flamary,Arnaud Breloy IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023, Rome, Italy Communication dans un congrès hal-04022713v1
ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMS Antoine Collas,Florent Bouchard,Guillaume Ginolhac,Arnaud Breloy,Chengfang Renet al. 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩ Communication dans un congrès hal-03752879v1
Robust Geometric Metric Learning Antoine Collas,Arnaud Breloy,Guillaume Ginolhac,Chengfang Ren,Jean-Philippe Ovarlez 30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia Communication dans un congrès hal-03931132v1
Apprentissage robuste de distance par géométrie riemannienne Antoine Collas,Arnaud Breloy,Guillaume Ginolhac,Chengfang Ren,Jean-Philippe Ovarlez GRETSI, XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI, Sep 2022, Nancy, France Communication dans un congrès hal-03778386v1
A Tyler-type estimator of location and scatter leveraging Riemannian optimization Antoine Collas,Florent Bouchard,A. Breloy,Chengfang Ren,Guillaume Ginolhacet al. 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩ Communication dans un congrès hal-03144104v1

Chapitre d'ouvrage (1)

The Fisher-Rao geometry of CES distributions Florent Bouchard,Arnaud Breloy,Antoine Collas,Alexandre Renaux,Guillaume Ginolhac Springer. Elliptical Distributions in Signal Processing, 2024, ⟨10.1007/978-3-031-52116-4_2⟩ Chapitre d'ouvrage hal-04225646v1

Pré-publication, Document de travail (5)

Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry Antoine Collas,Ce Ju,Nicolas Salvy,Bertrand Thirion 2025 Pré-publication, Document de travail hal-05380089v1
PSDNORM: TEST-TIME TEMPORAL NORMALIZATION FOR DEEP LEARNING IN SLEEP STAGING Theo Gnassounou,Antoine Collas,Rémi Flamary,Alexandre Gramfort 2025 Pré-publication, Document de travail hal-05384934v1
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications Antoine Collas,Rémi Flamary,Alexandre Gramfort 2024 Pré-publication, Document de travail hal-04422094v1
Multi-source and test-time domain adaptation on multivariate signals using Spatio-Temporal Monge Alignment Theo Gnassounou,Antoine Collas,Rémi Flamary,Karim Lounici,Alexandre Gramfort 2025 Pré-publication, Document de travail hal-05384925v1
Parametric information geometry with the package Geomstats Alice Le Brigant,Jules Deschamps,Antoine Collas,Nina Miolane 2022 Pré-publication, Document de travail (preprint/prepublication) hal-03862556v1