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#machine learning Preprint Sep 2026

Phenomenon-Graph JEPA: Label-Efficient Representation Learning for Contactless Cardiorespiratory Sensing

The study separates the measured benefit of predictive representations from the physiological prior used to organize their training, and presents Phenomenon-Graph JEPA, a joint-embedding predictive architecture that learns from four processed one-dimensional streams without negative pairs or synthetic augmentation in i...

C. A. Casado, Nhi Nguyen, M. Rahman et al. · 0 citations

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