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Alexandre Gramfort

PARIETAL

Data augmentation for learning predictive models on EEG: a systematic comparison


Jun 29, 2022
CĂ©dric Rommel, Joseph Paillard, Thomas Moreau, Alexandre Gramfort

* Submitted to Journal of Neural Engineering 

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Benchopt: Reproducible, efficient and collaborative optimization benchmarks


Jun 28, 2022
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cassio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoit Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter


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Toward a realistic model of speech processing in the brain with self-supervised learning


Jun 03, 2022
Juliette Millet, Charlotte Caucheteux, Pierre Orhan, Yves Boubenec, Alexandre Gramfort, Ewan Dunbar, Christophe Pallier, Jean-Remi King


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Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments


Apr 08, 2022
Hicham Janati, Marco Cuturi, Alexandre Gramfort


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The Optimal Noise in Noise-Contrastive Learning Is Not What You Think


Mar 02, 2022
Omar Chehab, Alexandre Gramfort, Aapo Hyvarinen


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Deep invariant networks with differentiable augmentation layers


Feb 16, 2022
CĂ©dric Rommel, Thomas Moreau, Alexandre Gramfort


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2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets


Feb 14, 2022
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 Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej ƚliwowski, Vincent Rouanne, Piotr Tempczyk

* PrePrint of the NeurIPS2021 BEETL Competition Submitted to Proceedings of Machine Learning Research (PMLR) 

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DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals


Dec 08, 2021
CĂ©dric Allain, Alexandre Gramfort, Thomas Moreau, A Preprint


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