EEGDM: Learning EEG Representation with Latent Diffusion Model
DGX agentarXiv:2508.20705v3 Announce Type: replace Abstract: Recent advances in self-supervised learning for EEG representation have largely relied on masked reconstruction, where models are trained to recover