2 papers
cs.LG2026
Stacked LoRA for Subject-Adaptive EEG Foundation Models in Motor Imagery Decoding
Aymen Sarhane, Fouad Lbakali, Mouad Souissi +2
Electroencephalography (EEG) decoding for brain-computer interfaces (BCIs) faces a major challenge: substantial inter-subject variability limits effective cross-subject generalizat…
cs.LG2025
REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
Yassine El Ouahidi, Jonathan Lys, Philipp Thölke +5
Foundation models have transformed AI by reducing reliance on task-specific data through large-scale pretraining. While successful in language and vision, their adoption in EEG has…