DLink distills layer-wise knowledge from EEG foundation models via a lightweight router and spectral alignment to produce compact students that narrow the gap to full EFMs on four benchmarks while reducing parameters, FLOPs, and inference latency.
EEGPT: Pre- trained transformer for universal and reliable representa- tion of EEG signals
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
DLink distills layer-wise knowledge from EEG foundation models via a lightweight router and spectral alignment to produce compact students that narrow the gap to full EFMs on four benchmarks while reducing parameters, FLOPs, and inference latency.