Manifold-regression to predict from MEG/EEG brain signals without source modeling

David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann

Feb-14-2026, 09:08:48 GMT–Neural Information Processing Systems

The Wasserstein distance readily applies to rank-reduced databutlacksaffine-invariance.

artificial intelligence, machine learning, matrix, (16 more...)

Neural Information Processing Systems

Feb-14-2026, 09:08:48 GMT

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Manifold-regression to predict from MEG/EEG brain signals without source modeling

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