Sylvain Chevallier

71 papers A* 2B 6C 3Misc 4Journal 32Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPD Learn: A Geometric Deep Learning Python Library for Neural Decoding Through Trivialization. CoRR Bruno Aristimunha, Ce Ju, Antoine Collas, Florent Bouchard, Ammar Mian, Bertrand Thirion, Sylvain Chevallier, Reinmar J. Kobler
2025	—	`conf`	A Probabilistic View on Riemannian Machine Learning Models for SPD Matrices. GSI (3) Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier
2025	J	`jnl`	A probabilistic view on Riemannian machine learning models for SPD matrices. CoRR Thibault de Surrel, Florian Yger, Fabien Lotte, Sylvain Chevallier
2025	J	`jnl`	EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. CoRR 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, Pedro A. Valdés-Sosa, Amitava Majumdar, Alan Evans, Terrence J. Sejnowski, Oren Shriki, Sylvain Chevallier, Arnaud Delorme
2025	J	`jnl`	Fine-Tuning Strategies for Continual Online EEG Motor Imagery Decoding: Insights from a Large-Scale Longitudinal Study. CoRR Martin Wimpff, Bruno Aristimunha, Sylvain Chevallier, Bin Yang
2025	J	`jnl`	Geometry-Aware visualization of high dimensional Symmetric Positive Definite matrices. Trans. Mach. Learn. Res. Thibault de Surrel, Sylvain Chevallier, Fabien Lotte, Florian Yger
2025	J	`jnl`	Growth strategies for arbitrary DAG neural architectures. CoRR Stella Douka, Manon Verbockhaven, Théo Rudkiewicz, Stéphane Rivaud, François P. Landes, Sylvain Chevallier, Guillaume Charpiat
2025	A*	`conf`	Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. ICML Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger
2025	J	`jnl`	Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices. CoRR Thibault de Surrel, Fabien Lotte, Sylvain Chevallier, Florian Yger
2024	J	`jnl`	A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding. CoRR Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo
2024	—	`conf`	Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices. EUSIPCO Thibault de Surrel, Florian Yger, Sylvain Chevallier, Fabien Lotte
2024	—	`conf`	Combining Euclidean Alignment and Data Augmentation for BCI decoding. EUSIPCO Gustavo H. Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo
2024	B	`conf`	Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface. ESANN Sébastien Velut, Sylvain Chevallier, Marie-Constance Corsi, Frédéric Dehais
2024	A*	`conf`	Geodesic Optimization for Predictive Shift Adaptation on EEG data. NeurIPS Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
2024	J	`jnl`	Geodesic Optimization for Predictive Shift Adaptation on EEG data. CoRR Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
2024	J	`jnl`	Geometric Neural Network based on Phase Space for BCI decoding. CoRR Igor Carrara, Bruno Aristimunha, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo
2024	J	`jnl`	Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. CoRR Manon Verbockhaven, Sylvain Chevallier, Guillaume Charpiat
2024	J	`jnl`	Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally. Trans. Mach. Learn. Res. Manon Verbockhaven, Théo Rudkiewicz, Sylvain Chevallier, Guillaume Charpiat
2024	—	`conf`	Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. EUSIPCO Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
2024	J	`jnl`	Physics-informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. CoRR Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort
2024	J	`jnl`	The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark. CoRR Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna Lopes, Sébastien Velut, Salim Khazem, Thomas Moreau
2024	J	`jnl`	Use of cognitive load measurements to design a new architecture of intelligent learning systems. Expert Syst. Appl. Amin Zammouri, Abdelaziz Aït Moussa, Sylvain Chevallier
2023	J	`jnl`	Evaluating the structure of cognitive tasks with transfer learning. CoRR Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel
2023	—	`conf`	Novel SPD Matrix Representations Considering Cross-Frequency Coupling for EEG Classification Using Riemannian Geometry. EUSIPCO Maria Sayu Yamamoto, Apolline Mellot, Sylvain Chevallier, Fabien Lotte
2022	J	`jnl`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR 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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2022	—	`conf`	Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary results. EMBC Maria Sayu Yamamoto, Fabien Lotte, Florian Yger, Sylvain Chevallier
2022	J	`jnl`	End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities. CoRR Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo, Pierre Clisson
2022	J	`jnl`	Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE). IEEE Trans. Biomed. Eng. Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
2022	J	`jnl`	Riemannian geometry for combining functional connectivity metrics and covariance in BCI. Softw. Impacts Sylvain Chevallier, Marie-Constance Corsi, Florian Yger, Fabrizio de Vico Fallani
2021	—	`conf`	2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 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, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk
2021	J	`jnl`	Clinical BCI Challenge-WCCI2020: RIGOLETTO - RIemannian GeOmetry LEarning, applicaTion To cOnnectivity. CoRR Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
2021	J	`jnl`	Functional connectivity ensemble method to enhance BCI performance (FUCONE). CoRR Marie-Constance Corsi, Sylvain Chevallier, Fabrizio de Vico Fallani, Florian Yger
2021	—	`conf`	Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning. NER Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
2021	J	`jnl`	Minimizing subject-dependent calibration for BCI with Riemannian transfer learning. CoRR Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
2021	J	`jnl`	Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI. Neuroinformatics Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy, Éric Monacelli
2021	Misc	`conf`	Riemannian Geometry on Connectivity for Clinical BCI. ICASSP Marie-Constance Corsi, Florian Yger, Sylvain Chevallier, Camille Noûs
2021	Misc	`conf`	Subspace Oddity - Optimization on Product of Stiefel Manifolds for EEG Data. ICASSP Maria Sayu Yamamoto, Florian Yger, Sylvain Chevallier
2020	C	`conf`	Geodesically-convex optimization for averaging partially observed covariance matrices. ACML Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra
2020	Misc	`conf`	Semi-Supervised Optimal Transport Methods for Detecting Anomalies. ICASSP Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli, Guillaume Bao, Eric Azabou
2019	—	`book`	Des signaux cérébraux aux activités cognitives, approches géométriques et apprentissage statistique. Sylvain Chevallier
2019	—	`conf`	Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance. ICANN (4) Amina Alaoui-Belghiti, Sylvain Chevallier, Éric Monacelli
2018	—	`conf`	Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential. ICANN (3) Sylvain Chevallier, Guillaume Bao, Mayssa Hammami, Fabienne Marlats, Louis Mayaud, Djillali Annane, Frédéric Lofaso, Eric Azabou
2018	—	`conf`	Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users. EUSIPCO Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy
2017	—	`conf`	Inductive Means and Sequences Applied to Online Classification of EEG. GSI Estelle M. Massart, Sylvain Chevallier
2017	J	`jnl`	Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels. Biomed. Signal Process. Control. Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
2016	J	`jnl`	Adaptive Visualisation System for Construction Building Information Models Using Saliency. CoRR Hugo Martin, Sylvain Chevallier, Éric Monacelli
2016	J	`jnl`	Online SSVEP-based BCI using Riemannian geometry. Neurocomputing Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Éric Monacelli, Yskandar Hamam
2016	J	`jnl`	Subject-Specific Channel Selection Using Time Information for Motor Imagery Brain-Computer Interfaces. Cogn. Comput. Yuan Yang, Isabelle Bloch, Sylvain Chevallier, Joe Wiart
2015	—	`conf`	From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification. GSI Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Yskandar Hamam, Éric Monacelli
2015	J	`jnl`	Online SSVEP-based BCI using Riemannian Geometry. CoRR Emmanuel K. Kalunga, Sylvain Chevallier, Karim Djouani, Éric Monacelli, Yskandar Hamam
2014	—	`ch.`	Artificial Neurogenesis: An Introduction and Selective Review. Growing Adaptive Machines Taras Kowaliw, Nicolas Bredèche, Sylvain Chevallier, René Doursat
2014	—	`conf`	Hybrid interface: Integrating BCI in multimodal human-machine interfaces. AIM Emmanuel K. Kalunga, Sylvain Chevallier, Olivier Rabreau, Éric Monacelli
2014	J	`jnl`	Influence of extracellular oscillations on neural communication: a computational perspective. Frontiers Comput. Neurosci. Zoran Tiganj, Sylvain Chevallier, Éric Monacelli
2014	—	`conf`	On the need for metrics in dictionary learning assessment. EUSIPCO Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2014	Misc	`conf`	Subspace metrics for multivariate dictionaries and application to EEG. ICASSP Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2014	J	`jnl`	Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels. EURASIP J. Adv. Signal Process. Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
2013	J	`jnl`	Metrics for Multivariate Dictionaries CoRR Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2013	—	`conf`	SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances. AFRICON Emmanuel K. Kalunga, Karim Djouani, Yskandar Hamam, Sylvain Chevallier, Éric Monacelli
2012	B	`conf`	Automatic selection of the number of spatial filters for motor-imagery BCI. ESANN Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
2012	B	`conf`	Fast calibration of hand movements-based interface for arm exoskeleton control. ESANN Hugo Martin, Sylvain Chevallier, Éric Monacelli
2012	—	`conf`	Time-frequency selection in two bipolar channels for improving the classification of motor imagery EEG. EMBC Yuan Yang, Sylvain Chevallier, Joe Wiart, Isabelle Bloch
2011	B	`conf`	An Introduction to Deep Learning. ESANN Ludovic Arnold, Sébastien Rebecchi, Sylvain Chevallier, Hélène Paugam-Moisy
2011	—	`conf`	Emergence of temporal and spatial synchronous behaviors in a foraging swarm. ECAL Sylvain Chevallier, Nicolas Bredèche, Hélène Paugam-Moisy, Michèle Sebag
2010	—	`conf`	Efficient Neural Models for Visual Attention. ICCVG (1) Sylvain Chevallier, Nicolas Cuperlier, Philippe Gaussier
2010	—	`conf`	SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. NIPS Sylvain Chevallier, Hélène Paugam-Moisy, Michèle Sebag
2009	C	`conf`	Difference of Gaussians Type Neural Image Filtering with Spiking Neurons. IJCCI Sylvain Chevallier, Sonia Dahdouh
2009	—	`—`	Implémentation d'un système préattentionnel avec des neurones impulsionnels. (Implementation of a preattentional system with spiking neurons). Sylvain Chevallier
2008	C	`conf`	Covert Attention with a Spiking Neural Network. ICVS Sylvain Chevallier, Philippe Tarroux
2008	B	`conf`	Visual focus with spiking neurons. ESANN Sylvain Chevallier, Philippe Tarroux
2006	B	`conf`	Saliency extraction with a distributed spiking neural network. ESANN Sylvain Chevallier, Philippe Tarroux, Hélène Paugam-Moisy
2005	—	`conf`	Distributed Processing for Modelling Real-Time Multimodal Perception in a Virtual Robot. Parallel and Distributed Computing and Networks Sylvain Chevallier, Hélène Paugam-Moisy, François Lemaître