Scholar
Sylvain Chevallier
Google Scholar ID: j5Tu_SQAAAAJ
LISN - Université Paris-Saclay, France
open science
frugal learning
transfer learning
Riemannian geometry
biosignals
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Citations & Impact
All-time
Citations
1,157
H-index
16
i10-index
30
Publications
20
Co-authors
50
list available
Publications
8 items
Neuron-Level Architecture Growth: A Controlled Evaluation for EEG Time-Series Decoding
2026
Cited
0
Learning aligned EEG representations with subject-specific encoders
2026
Cited
0
SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization
2026
Cited
0
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
2025
Cited
0
A probabilistic view on Riemannian machine learning models for SPD matrices
2025
Cited
0
Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study
2025
Cited
0
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
2025
Cited
0
Growth strategies for arbitrary DAG neural architectures
2025
Cited
0
Co-authors
9 total
Quentin Barthélemy
ML researcher, PhD @ Foxstream
Florian Yger
INSA Rouen Normandie, LITIS
Bruno Aristimunha
PhD Student, Université Paris-Saclay and Federal University of ABC (Brazil)
Isabelle Bloch
LTCI, Télécom Paris
Alexandre Gramfort
Meta
Raphael Y. de Camargo
Universidade Federal do ABC
Pierre Guetschel
Donders Institute for Brain, Cognition and Behaviour
Fabrizio, de Vico Fallani
INRIA Head of Research, Paris Brain Institute (ICM)
