Antoine Collas
Présentation
I am currently a PhD student at SONDRA - CentraleSupelec. My research interests are :
Publications
Publications
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SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse ModalitiesTransactions on Machine Learning Research Journal, 2025, pp.1-48 |
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Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modelingImaging Neuroscience, 2023, 1, pp.1-26. ⟨10.1162/imag_a_00040⟩ |
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Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to ClusteringIEEE Transactions on Signal Processing, 2021, 69, pp.6546-6560. ⟨10.1109/TSP.2021.3130997⟩ |
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Robust Low-rank Change Detection for SAR Image Time SeriesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13, pp.3545-3556. ⟨10.1109/JSTARS.2020.2999615⟩ |
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Hierarchical Variable Importance with Statistical Control for Medical Data-Based PredictionIPMI 2025 - Information Processing in Medical Imaging, May 2025, Kos Island, Greece. pp.79-93, ⟨10.1007/978-3-031-96625-5_6⟩ |
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Riemannian flow matching for brain connectivity matrices via pullback geometryNeurIPS 2025 - Thirty-Ninth Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego, United States |
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Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG DatasetsEUSIPCO 2024 - 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.48550/arXiv.2403.15415⟩ |
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Geodesic optimization for predictive shift adaptation on EEG dataNeurIPS 2024 - 38th Annual Conference on Neural Information Processing Systems, Dec 2024, Vancouver, Canada |
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Entropic Wasserstein component analysisIEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023, Rome, Italy |
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ON THE USE OF GEODESIC TRIANGLES BETWEEN GAUSSIAN DISTRIBUTIONS FOR CLASSIFICATION PROBLEMS2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 2022, Singapour, Singapore. ⟨10.1109/ICASSP43922.2022.9747872⟩ |
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Robust Geometric Metric Learning30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia |
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Apprentissage robuste de distance par géométrie riemannienneGRETSI, XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI, Sep 2022, Nancy, France |
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A Tyler-type estimator of location and scatter leveraging Riemannian optimization2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9414974⟩ |
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The Fisher-Rao geometry of CES distributionsSpringer. Elliptical Distributions in Signal Processing, 2024, ⟨10.1007/978-3-031-52116-4_2⟩ |
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PSDNORM: TEST-TIME TEMPORAL NORMALIZATION FOR DEEP LEARNING IN SLEEP STAGING2025 |
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Riemannian Flow Matching for Brain Connectivity Matrices via Pullback Geometry2025 |
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Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications2024 |
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Multi-source and test-time domain adaptation on multivariate signals using Spatio-Temporal Monge Alignment2025 |
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Parametric information geometry with the package Geomstats2022 |