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Sylvain Chevallier

Full Professor at LISN-CNRS, Université Paris-Saclay
Open access
Current affiliations
  • 1066529
  • 1061259
Researcher identifiers


After a PhD on bio-inspired robotic vision at LIMSI CNRS, I was a post-doc fellow in the neurocybernetic team of ETIS. I embraced a more machine learning centric approach to analyse EEG for Brain-Computer Interface (BCI) during two post-doc, one at INRIA and one at Telecom ParisTech. I worked as assistant professor at LISV, Université de Versailles-St Quentin on BCI for rehabilitation robotics, using Riemannian geometry and time series analysis. I am now full professor in A&O team of LISN-CNRS, Université Paris-Saclay.


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Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results

Maria Sayu Yamamoto , Fabien Lotte , Florian Yger , Sylvain Chevallier
EMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Jul 2022, Glasgow, United Kingdom. ⟨10.1109/EMBC48229.2022.9871820⟩
Conference papers hal-03641137v2
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Subspace oddity - optimization on product of Stiefel manifolds for EEG data

Maria Sayu Yamamoto , Florian Yger , Sylvain Chevallier
ICASSP, Jun 2021, Toronto, Canada
Conference papers hal-03202357v2
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Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimation

Marie-Constance Corsi , Sylvain Chevallier , Quentin Barthélemy , Isabelle Hoxha , Florian Yger et al.
Neuroergonomics conference 2021, Sep 2021, Virtual event, Germany
Conference papers hal-03359257v1
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Extending Riemannian Brain-Computer Interface to Functional Connectivity Estimators

Sylvain Chevallier , Marie-Constance Corsi , Florian Yger , Camille Noûs
IROS Workshop on Bringing geometric methods to robot learning, optimization and control, Oct 2020, Las Vegas, NV / Virtual, United States
Conference papers hal-03015390v1
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Geodesically-convex optimization for averaging partially observed covariance matrices

Florian Yger , Sylvain Chevallier , Quentin Barthélemy , Suvrit Sra
Asian Conference on Machine Learning (ACML), Nov 2020, Bangkok, Thailand. pp.417 - 432
Conference papers hal-02984423v1
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User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIs

Maria Sayu Yamamoto , Fabien Lotte , Florian Yger , Sylvain Chevallier
CORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France
Conference poster hal-03931339v1