Sylvain Chevallier
- TAckling the Underspecified (TAU)
- Laboratoire Interdisciplinaire des Sciences du Numérique (LISN)
Présentation
Publications
Publications
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Growth strategies for arbitrary DAG neural architecturesESANN 2025 - 33th European Symposium on Artificial Neural Networks, Apr 2025, Bruges, Belgium. ⟨10.14428/esann/2025.ES2025-112⟩ |
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A probabilistic view on Riemannian machine learning models for SPD matricesGSI 2025 - 7th International Conference on Geometric Science of Information, Oct 2025, Saint Malo, France. pp.142-151, ⟨10.1007/978-3-032-03924-8_15⟩ |
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Wrapped Gaussian on the manifold of Symmetric Positive Definite MatricesICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada |
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Averaging trajectories on the manifold of symmetric positive definite matricesEUSIPCO 2024 - 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.23919/EUSIPCO63174.2024.10715315⟩ |
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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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Combining Euclidean Alignment and Data Augmentation for BCI decodingEUSIPCO 2024 - 32nd European Signal Processing Conference, European Signal Processing Conference (EUSIPCO), Aug 2024, Lyon, France. ⟨10.48550/arXiv.2405.14994⟩ |
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Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer InterfaceESANN 2024 - 32nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. pp.571-576, ⟨10.14428/esann/2024.ES2024-112⟩ |
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Ensemble of Riemannian Classifiers for Multimodal Data: FUCONE Approach for M/EEG DataISBI 2023 - IEEE International Symposium on Biomedical Imaging, Apr 2023, Cartagena de Indias, Colombia |
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Novel SPD matrix representations considering cross-frequency coupling for EEG classification using Riemannian geometryEUSIPCO 2023 - the 31st European Signal Processing Conference, Sep 2023, Helsinki, Finland. ⟨10.23919/EUSIPCO58844.2023.10290043⟩ |
Stratified Riemannian geometry for frugal learning with brain signalsGeometric Science of Information, Franck Nielsen; Frédéric Barbaresco, Aug 2023, Saint-Malo, France |
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Early stopping strategies for P300 speller with Bayesian accumulation of Riemannian probabilitiesBCI 2023 - 10th International Brain-Computer Interface Meeting, BCI Society, Jun 2023, Bruxelles, Belgium. ⟨10.3217/978-3-85125-962-9-155⟩ |
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Empirical evaluation on multiple BCI datasets of the functional connectivity ensemble (FUCONE) methodBCI 2023 - 10th International Brain-Computer Interface Meeting, BCI Society, Jun 2023, Bruxelles, Belgium. ⟨10.3217/978-3-85125-962-9-24⟩ |
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Synthetic Sleep EEG Signal Generation using Latent Diffusion ModelsDGM4H 2023 - 1st Workshop on Deep Generative Models for Health at NeurIPS 2023, Dec 2023, New orleans, United States |
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Class-distinctiveness-based frequency band selection on the Riemannian manifold for oscillatory activity-based BCIs: preliminary resultsEMBC 2022- 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Jul 2022, Glasgow, United Kingdom. ⟨10.1109/EMBC48229.2022.9871820⟩ |
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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsNeurIPS, Nov 2022, Nouvelle Orleans, United States |
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On Path Planning and Optimization Strategies: Toward Embedded Road ApplicationsIEEE International Conference on Smart Systems and Power Management 2022, Nov 2022, Beirut, Lebanon. pp.197-202, ⟨10.1109/IC2SPM56638.2022.9988830⟩ |
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Riemannian Geometry on Connectivity for Clinical BCIICASSP 2021, Jun 2021, Toronto / Virtual, Canada. ⟨10.1109/ICASSP39728.2021.9414790⟩ |
Un traitement innovant pour le syndrome des jambes sans repos pharmaco-résistant : la stimulation non invasive du nerf vagueCongrès du Sommeil 2021, Nov 2021, Lille, France. ⟨10.1016/j.msom.2022.01.017⟩ |
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Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer LearningNER (Neural engineering), May 2021, Rome (virtual), Italy. pp.523-526, ⟨10.1109/NER49283.2021.9441279⟩ |
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Ensemble learning based on functional connectivity and Riemannian geometry for robust workload estimationNeuroergonomics conference 2021, Sep 2021, Virtual event, Germany |
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Purposeful Proposal for CP-afflicted Upper Limbs ExoskeletonsSixth International Conference on Advances in Biomedical Engineering (ICABME), Oct 2021, Beyrouth, Lebanon. ⟨10.1109/ICABME53305.2021.9604854⟩ |
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Subspace oddity - optimization on product of Stiefel manifolds for EEG dataICASSP, Jun 2021, Toronto, Canada |
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Extending Riemannian Brain-Computer Interface to Functional Connectivity EstimatorsIROS Workshop on Bringing geometric methods to robot learning, optimization and control, Oct 2020, Las Vegas, NV / Virtual, United States |
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Geodesically-convex optimization for averaging partially observed covariance matricesAsian Conference on Machine Learning (ACML), Nov 2020, Bangkok, Thailand. pp.417 - 432 |
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Semi-supervised optimal transport methods for detecting anomaliesIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. ⟨10.1109/ICASSP40776.2020.9053464⟩ |
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Unsupervised anomaly detection using optimal transport for predictive maintenanceInternational Conference on Artificial Neural Networks, Sep 2019, Munich, Germany. ⟨10.1007/978-3-030-30490-4_54⟩ |
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Neuromotor Strategy of Gait Rehabilitation for Lower-Limb SpasticityInternational Conference on Advances in Biomedical Engineering (ICABME), Oct 2019, Tripoli, Lebanon. ⟨10.1109/ICABME47164.2019.8940263⟩ |
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Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential27th International Conference on Artificial Neural Networks( ICANN 2018), Oct 2018, Rhodes, Greece. ⟨10.1007/978-3-030-01424-7_65⟩ |
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Transfer Learning for SSVEP-based BCI using Riemannian similarities between users26th European Signal Processing Conference (EUSIPCO 2018), Sep 2018, Rome, Italy. pp.1685-1689, ⟨10.23919/EUSIPCO.2018.8553441⟩ |
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Inductive means and sequences applied to online classification of EEG3rd International Conference on Geometric Science of Information (GSI), Nov 2017, Paris, France. ⟨10.1007/978-3-319-68445-1_88⟩ |
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Embedded-BCI: assessment of parallelizing computations on an embedded systemIEEE Last Mile Smart Mobility, Nov 2016, Vélizy, France |
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From Euclidean to Riemannian Means: Information Geometry for SSVEP ClassificationGeometric Science of Information, Oct 2015, Palaiseau, France. pp.595-604, ⟨10.1007/978-3-319-25040-3_64⟩ |
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Smart Interfaces for New Building Design ProcessIEEE Last Mile Smart Mobility, Nov 2016, Vélizy, France |
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Adaptive visualization system for construction building information using saliency15th International Conference on Construction Applications of Virtual Reality (CONVR 2015), Oct 2015, Banff, Canada. pp.317-326 |
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Intelligent artifacts removal in a non-invasive single channel EEG recordingIntelligent Systems and Computer Vision (ISCV), Mar 2015, Fez, Morocco, France. ⟨10.1109/ISACV.2015.7106164⟩ |
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Data augmentation in Riemannian space for Brain-Computer InterfacesSTAMLINS, Jun 2015, Lille, France |
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Subspace metrics for multivariate dictionaries and application to EEGIEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. ⟨10.1109/ICASSP.2014.6854993⟩ |
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On the need for metrics in dictionary learning assessment22nd European Signal Processing Conference (EUSIPCO) , Sep 2014, Lisbon, Portugal |
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Hybrid interface: Integrating BCI in multimodal human-machine interfacesIEEE/ASME International Conference on Advanced Intelligent Mechatronics, Jul 2014, Besançon, France. pp.530 - 535 ⟨10.1109/AIM.2014.6878132⟩ |
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SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performancesAFRICON 2013, Sep 2013, Pointe-Aux-Piments, Mauritius. ⟨10.1109/AFRCON.2013.6757776⟩ |
A self-paced hybrid BCI based on EEG and EOG3rd TOBI workshop - Bringinh BCIs to end-users: facing the challenge, Mar 2012, Wurzburg, Germany. pp.33-34 |
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Online frequency band estimation and change-point detection1st International Conference Systems and Computer Science, Aug 2012, Lille, France |
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Automatic selection of the number of spatial filters for motor-imagery BCIThe proceeding of 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Apr 2012, Bruges, Belgium. pp.109-114 |
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Time-frequency Selection in Two Bipolar Channels for Improving the Classification of Motor Imagery EEGThe proceeding of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12), Aug 2012, San Diego, United States. pp.2744-2747 |
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Fast calibration of hand movement-based interface for arm exoskeleton controlEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2012, Bruges, Belgium. pp.573-578 |
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A Self-paced Hybrid BCI based on EEG and EOG3rd Workshop of Tools for Brain-computer Interaction (TOBI 2012), Mar 2012, Wuerzburg, Germany. pp.4.2 |
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An Introduction to Deep LearningEuropean Symposium on Artificial Neural Networks (ESANN), Apr 2011, Bruges, Belgium |
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Emergence of Temporal and Spatial Synchronous Behaviors in a Foraging SwarmEuropean Conference on Artificial Life, Aug 2011, Paris, France. ⟨10.7551/978-0-262-29714-1-ch022⟩ |
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SpikeAnts: un réseau de neurones impulsionnels pour modéliser l'organisation émergente dans un système complexeNeuroComp 3e conférence française de Neurosciences Computationnelles, Apr 2010, Lyon, France |
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SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex systemNIPS'2010, Dec 2010, Vancouver, Canada. pp.379--387 |
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Efficient neural models for visual attentionComputer Vision and Graphics, Sep 2010, Varsovie, Poland. pp.257-264, ⟨10.1007/978-3-642-15910-7⟩ |
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SpikeAnts : un réseau de neurones impulsionnels pour modéliser l'émergence de l'organisationCinquième conférence française de Neurosciences Computationnelles, Oct 2010, Lyon, France. pp.114-119 |
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Difference of Gaussians type neural image filtering with spiking neuronsInternational Conference on Neural Computation, Oct 2009, Madère, Portugal. pp.467-472 |
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Covert Attention with a Spiking Neural NetworkInternational Conference on Computer Vision Systems, May 2008, Santorini, Greece. pp.56-65, ⟨10.1007/978-3-540-79547-6_6⟩ |
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Implémentation d'un mécanisme de "covert attention" avec un réseau de neurones impulsionnelsDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France |
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Visual focus with spiking neuronsEuropean Symposium on Artificial Neural Networks, Apr 2008, Bruges, Belgium. pp.385-389 |
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Saliency extraction with a distributed spiking neural networkEuropean Symposium on Artificial Neural Networks, Apr 2006, Bruges, Belgium. pp.209-214 |
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Extraction de saillances par un réseau de neurones impulsionnelsNeuroComp, Oct 2006, Pont-à-Mousson, France. pp.154-157 |
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Modélisation de processus attentionnels dans la perception multimodale d'un robot virtuelActes du VIème Colloque Jeunes Chercheurs en Sciences Cognitives, Apr 2005, Bordeaux, France |
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Distributed processing for modelling real-time multimodal perception in a virtual robotPDCN'2005, Feb 2005, Innsbruck, Austria. pp.393-398 |
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Neuronal avalanches as potential features for Brain-Computer InterfacesOrganization of Human Brain Mapping. OHBM 2024 - Organization for Human Brain Mapping, Jun 2024, Seoul, South Korea. Abstract Book 6: OHBM 2024 Annual Meeting https://doi.org/10.52294/001c.120596, 4 (1), 2024 |
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What is the best model for decoding neurophysiological signals? Depends on how you evaluateCNS 2024 - 33rd Annual Computational Neuroscience Meeting, Jul 2024, Natal, Brazil |
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Ensemble of Riemannian classifiers for multimodal data: FUCONE approach for M/EEG dataBCI meeting 2023, Jun 2023, Bruxelles, Belgium. |
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Dimensionality Reduction and Frequency Bin Optimization To Improve a Riemannian-based Classification PipelineCORTICO 2023 - Journées COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, May 2023, Paris, France. |
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Blind separation with angular criteriaJournée du labo L2S, Jun 2023, Saint-Rémy-lès-Chevreuse, France |
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Effectiveness of cross-frequency phase-amplitude covariance as additional features for Riemannian BCIsBCI 2023 - 10th International BCI Meeting Balancing Innovation and Translation, Jun 2023, Brussels, Belgium. ⟨10.3217/978-3-85125-962-9-179⟩ |
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Augmented SPDNet: Second-Order Neural Network for Motor Imagery-Based BCISoph.IA summit 2023, Nov 2023, Sophia Antipolis, France |
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Holographic EEG: multi-view deep learning for BCIJournée CORTICO 2023 - COllectif pour la Recherche Transdisciplinaire sur les Interfaces Cerveau-Ordinateur, May 2023, Paris, France. |
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CONCERTO: Coherence & Functional Connectivity Graph NetworkJournée CORTICO 2023, May 2023, Paris, France. 2023 |
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User-specific frequency band and time segment selection with high class distinctiveness for Riemannian BCIsCORTICO 2022 : Invasive and non invasive Brain-Computer Interfaces – A handshake over the cliff, Mar 2022, Autrans, France |
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Generating stimulus anticipation from stimulus and prediction historyBC 2022 - Bernstein Conference, Sep 2022, Berlin, Germany. ⟨10.12751/nncn.bc2022.049⟩ |
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Decodable anticipation from prestimulus activity3rd Neuroergonomics Conference, Sep 2021, Munich (online), Germany |
From signals to decisions in noninvasive neural technologiesDavide Valeriani; Theresa M. Vaughan. Neural Interfaces, Academic Press; Elsevier, pp.77-90, 2025, 978-0-443-24824-5. ⟨10.1016/C2023-0-51142-5⟩ |
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Riemannian classification for SSVEP based BCI: offline versus online implementationsBrain–Computer Interfaces Handbook: Technological and Theoretical Advances, 2018 |
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Artificial Neurogenesis: An Introduction and Selective ReviewSpringer; Taras Kowaliw, Nicolas Bredeche, René Doursat. Growing Adaptive Machines, 557, pp.1-60, 2014, Studies in Computational Intelligence, 978-3-642-55336-3. ⟨10.1007/978-3-642-55337-0_1⟩ |
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The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark2024 |
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Evaluating the structure of cognitive tasks with transfer learning2024 |
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EEG anticipatory activity depends on sensory modality2024 |
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nl-DDM: a non-linear drift-diffusion model accounting for the dynamics of single-trial perceptual decisions2022 |
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Clinical BCI Challenge-WCCI2020: RIGOLETTO -- RIemannian GeOmetry LEarning, applicaTion To cOnnectivity[Technical Report] ARAMIS, LAMSADE, LISV. 2021 |
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Using Riemannian geometry for SSVEP-based Brain Computer Interface[Research Report] Université de Versailles Saint-Quentin; Mensia Technologies, SA. 2015 |
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Implémentation d'un système préattentionnel avec des neurones impulsionnelsModélisation et simulation. Université Paris Sud - Paris XI, 2009. Français. ⟨NNT : ⟩ |
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Des signaux cérébraux aux activités cognitives, approches géométriques et apprentissage statistiqueTraitement du signal et de l'image [eess.SP]. Université de Versailles Saint Quentin en Yvelines; Université Paris-Saclay, 2019 |