Synthetic EEG from a class-conditional VAE with covariance and cycle-consistency losses captures class structure but provides no statistically reliable accuracy gain for four downstream classifiers.
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Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement
Synthetic EEG from a class-conditional VAE with covariance and cycle-consistency losses captures class structure but provides no statistically reliable accuracy gain for four downstream classifiers.