A Riemannian self-attention model based on the Bures-Wasserstein metric and its learnable generalized version is claimed to improve robustness of EEG decoding on three benchmark datasets.
Title resolution pending
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
-
Towards Robust EEG Decoding Based on Riemannian Self-Attention
A Riemannian self-attention model based on the Bures-Wasserstein metric and its learnable generalized version is claimed to improve robustness of EEG decoding on three benchmark datasets.