Jaeseung Sim

Projection-Free CLIP-Scale EEG Latents via a U-Net-Style Autoencoder

A lightweight and projection-free autoencoder that directly outputs compact, Contrastive Language–Image Pre-training (CLIP)-scale latent vectors trained toward the CLIP embedding space, achieving superior signal reconstruction fidelity across time and frequency domains using significantly fewer parameters than traditional masked autoencoder baselines.