AIBullisharXiv – CS AI · 10h ago7/10
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Event Fields: Learning Latent Event Structure for Waveform Foundation Models
Researchers introduce a novel waveform foundation model that represents physiological signals as latent event processes rather than sequential tokens, using self-supervised learning to capture clinically meaningful structure. The approach demonstrates improved performance on medical benchmarks including arrhythmia classification and hemodynamic prediction, suggesting event-centric representations may be more suitable for healthcare AI than traditional sequence-based methods.