2 papers
cs.LG2026
Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models
Aditya Kommineni, Emily Zhou, Kleanthis Avramidis +7
EEG foundation models, pre-trained on large-scale unlabelled EEG data, have emerged as a promising direction towards learning generalizable EEG representations. Despite showing pos…
cs.IT2024
A Game-Theoretic Perspective for Efficient Modern Random Access
Andreas Peter Juhl Hansen, Jeppe Roden Münster, Rasmus Erik Villadsen +4
Modern random access mechanisms combine packet repetitions with multi-user detection mechanisms at the receiver to maximize the throughput and reliability in massive Internet of Th…