Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. - Sylvain Chevallier; Hélène Paugam-Moisy; François Lemaître (Parallel and Distributed Computing and Networks, 2005)

Saliency extraction with a distributed spiking neural network. - Sylvain Chevallier; Philippe Tarroux; Hélène Paugam-Moisy (ESANN, 2006)

Visual focus with spiking neurons. - Sylvain Chevallier; Philippe Tarroux (ESANN, 2008)

Covert Attention with a Spiking Neural Network. - Sylvain Chevallier; Philippe Tarroux (ICVS, 2008)

Difference of Gaussians Type Neural Image Filtering with Spiking Neurons. - Sylvain Chevallier; Sonia Dahdouh (IJCCI, 2009)

Implémentation d'un système préattentionnel avec des neurones impulsionnels. (Implementation of a preattentional system with spiking neurons). - Sylvain Chevallier (2009)

Efficient Neural Models for Visual Attention. - Sylvain Chevallier; Nicolas Cuperlier; Philippe Gaussier (ICCVG (1), 2010)

SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. - Sylvain Chevallier; Hélène Paugam-Moisy; Michèle Sebag (NIPS, 2010)

Emergence of temporal and spatial synchronous behaviors in a foraging swarm. - Sylvain Chevallier; Nicolas Bredèche; Hélène Paugam-Moisy; Michèle Sebag (ECAL, 2011)

An Introduction to Deep Learning. - Ludovic Arnold; Sébastien Rebecchi; Sylvain Chevallier; Hélène Paugam-Moisy (ESANN, 2011)

Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. - Yuan Yang 002; Sylvain Chevallier; Joe Wiart; Isabelle Bloch (EMBC, 2012)

Fast calibration of hand movements-based interface for arm exoskeleton control. - Hugo Martin 001; Sylvain Chevallier; Éric Monacelli (ESANN, 2012)

Automatic selection of the number of spatial filters for motor-imagery BCI. - Yuan Yang 002; Sylvain Chevallier; Joe Wiart; Isabelle Bloch (ESANN, 2012)

SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances. - Emmanuel K. Kalunga; Karim Djouani; Yskandar Hamam; Sylvain Chevallier; Éric Monacelli (AFRICON, 2013)

Metrics for Multivariate Dictionaries - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (CoRR, 2013)

Hybrid interface: Integrating BCI in multimodal human-machine interfaces. - Emmanuel K. Kalunga; Sylvain Chevallier; Olivier Rabreau; Éric Monacelli (AIM, 2014)

On the need for metrics in dictionary learning assessment. - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (EUSIPCO, 2014)

Subspace metrics for multivariate dictionaries and application to EEG. - Sylvain Chevallier; Quentin Barthélemy; Jamal Atif (ICASSP, 2014)

Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels. - Yuan Yang 002; Sylvain Chevallier; Joe Wiart; Isabelle Bloch (EURASIP J. Adv. Signal Process., 2014)

Influence of extracellular oscillations on neural communication: a computational perspective. - Zoran Tiganj; Sylvain Chevallier; Éric Monacelli (Frontiers Comput. Neurosci., 2014)

Artificial Neurogenesis: An Introduction and Selective Review. - Taras Kowaliw; Nicolas Bredèche; Sylvain Chevallier; René Doursat (Growing Adaptive Machines, 2014)

From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification. - Emmanuel K. Kalunga; Sylvain Chevallier; Quentin Barthélemy; Karim Djouani; Yskandar Hamam; Éric Monacelli (GSI, 2015)

Online SSVEP-based BCI using Riemannian Geometry. - Emmanuel K. Kalunga; Sylvain Chevallier; Karim Djouani; Éric Monacelli; Yskandar Hamam (CoRR, 2015)

Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain-Computer Interfaces. - Yuan Yang 002; Isabelle Bloch; Sylvain Chevallier; Joe Wiart (Cogn. Comput., 2016)

Adaptive Visualisation System for Construction Building Information Models Using Saliency. - Hugo Martin 001; Sylvain Chevallier; Éric Monacelli (CoRR, 2016)

Online SSVEP-based BCI using Riemannian geometry. - Emmanuel K. Kalunga; Sylvain Chevallier; Quentin Barthélemy; Karim Djouani; Éric Monacelli; Yskandar Hamam (Neurocomputing, 2016)

Inductive Means and Sequences Applied to Online Classification of EEG. - Estelle M. Massart; Sylvain Chevallier (GSI, 2017)

Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels. - Yuan Yang 002; Sylvain Chevallier; Joe Wiart; Isabelle Bloch (Biomed. Signal Process. Control., 2017)

Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users. - Emmanuel K. Kalunga; Sylvain Chevallier; Quentin Barthélemy (EUSIPCO, 2018)

Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential. - Sylvain Chevallier; Guillaume Bao; Mayssa Hammami; Fabienne Marlats; Louis Mayaud; Djillali Annane; Frédéric Lofaso; Eric Azabou (ICANN (3), 2018)

Des signaux cérébraux aux activités cognitives, approches géométriques et apprentissage statistique. - Sylvain Chevallier (2019)

Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance. - Amina Alaoui-Belghiti; Sylvain Chevallier; Éric Monacelli (ICANN (4), 2019)

Geodesically-convex optimization for averaging partially observed covariance matrices. - Florian Yger; Sylvain Chevallier; Quentin Barthélemy; Suvrit Sra (ACML, 2020)

Semi-Supervised Optimal Transport Methods for Detecting Anomalies. - Amina Alaoui-Belghiti; Sylvain Chevallier; Éric Monacelli; Guillaume Bao; Eric Azabou (ICASSP, 2020)

Riemannian Geometry on Connectivity for Clinical BCI. - Marie-Constance Corsi; Florian Yger; Sylvain Chevallier; Camille Noûs (ICASSP, 2021)

Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. - Maria Sayu Yamamoto; Florian Yger; Sylvain Chevallier (ICASSP, 2021)

Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning. - Salim Khazem; Sylvain Chevallier; Quentin Barthélemy; Karim Haroun; Camille Noûs (NER, 2021)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. - Marie-Constance Corsi; Florian Yger; Sylvain Chevallier; Camille Noûs (CoRR, 2021)

Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI. - Sylvain Chevallier; Emmanuel K. Kalunga; Quentin Barthélemy; Éric Monacelli (Neuroinformatics, 2021)

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)

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities. - Quentin Barthélemy; Sylvain Chevallier; Raphaëlle Bertrand-Lalo; Pierre Clisson (CoRR, 2022)

Riemannian geometry for combining functional connectivity metrics and covariance in BCI. - Sylvain Chevallier; Marie-Constance Corsi; Florian Yger; Fabrizio de Vico Fallani (Softw. Impacts, 2022)

Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). - Marie-Constance Corsi; Sylvain Chevallier; Fabrizio de Vico Fallani; Florian Yger (IEEE Trans. Biomed. Eng., 2022)

pyRiemann/pyRiemann: v0.3. - Alexandre Barachant; Quentin Barthélemy; Jean-Rémi King; Alexandre Gramfort; Sylvain Chevallier; Pedro L. C. Rodrigues; Emanuele Olivetti; Vladislav Goncharenko; Gabriel Wagner vom Berg; Ghiles Reguig; Arthur Lebeurrier; Erik Bjäreholt; et al. (Zenodo, 2022)

Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry. - Maria Sayu Yamamoto; Apolline Mellot; Sylvain Chevallier; Fabien Lotte (EUSIPCO, 2023)

Evaluating the structure of cognitive tasks with transfer learning. - Bruno Aristimunha; Raphael Y. de Camargo; Walter Hugo Lopez Pinaya; Sylvain Chevallier; Alexandre Gramfort; Cédric Rommel (CoRR, 2023)

Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. - Sébastien Velut; Sylvain Chevallier; Marie-Constance Corsi; Frédéric Dehais (ESANN, 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 (EUSIPCO, 2024)

Combining Euclidean Alignment and Data Augmentation for BCI decoding. - Gustavo H. Rodrigues; Bruno Aristimunha; Sylvain Chevallier; Raphael Y. de Camargo (EUSIPCO, 2024)

Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices. - Thibault de Surrel; Florian Yger; Sylvain Chevallier; Fabien Lotte (EUSIPCO, 2024)

Geodesic Optimization for Predictive Shift Adaptation on EEG data. - Apolline Mellot; Antoine Collas; Sylvain Chevallier; Alexandre Gramfort; Denis A. Engemann (NeurIPS, 2024)

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding. - Bruna Junqueira; Bruno Aristimunha; Sylvain Chevallier; Raphael Y. de Camargo (CoRR, 2024)

Geometric Neural Network based on Phase Space for BCI decoding. - Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo (CoRR, 2024)

The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. - Sylvain Chevallier; Igor Carrara; Bruno Aristimunha; Pierre Guetschel; Sara Sedlar; Bruna Lopes; Sébastien Velut; Salim Khazem; Thomas Moreau 001 (CoRR, 2024)

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. - Manon Verbockhaven; Sylvain Chevallier; Guillaume Charpiat (CoRR, 2024)

Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. - Manon Verbockhaven; Théo Rudkiewicz; Sylvain Chevallier; Guillaume Charpiat (Trans. Mach. Learn. Res., 2024)

Use of cognitive load measurements to design a new architecture of intelligent learning systems. - Amin Zammouri; Abdelaziz Aït Moussa; Sylvain Chevallier (Expert Syst. Appl., 2024)

Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices. - Thibault de Surrel; Sylvain Chevallier; Fabien Lotte; Florian Yger (Trans. Mach. Learn. Res., 2025)

Growth strategies for arbitrary DAG neural architectures. - Stella Douka; Manon Verbockhaven; Théo Rudkiewicz; Stéphane Rivaud; François P. Landes; Sylvain Chevallier; Guillaume Charpiat (CoRR, 2025)

Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. - Thibault de Surrel; Fabien Lotte; Sylvain Chevallier; Florian Yger (CoRR, 2025)

Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study. - Martin Wimpff; Bruno Aristimunha; Sylvain Chevallier; Bin Yang (CoRR, 2025)

A probabilistic view on Riemannian machine learning models for SPD matrices. - Thibault de Surrel; Florian Yger; Fabien Lotte; Sylvain Chevallier (CoRR, 2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - Bruno Aristimunha; Dung Truong; Pierre Guetschel; Seyed Yahya Shirazi; Isabelle Guyon; Alexandre R. Franco; Michael P. Milham; Aviv Dotan; Scott Makeig; Alexandre Gramfort; Jean-Remi King; Marie-Constance Corsi; et al. (CoRR, 2025)