Preprint
Aug 2026
Omni-modal decomposition autoencoders learn full-stack wearable disentangled representations
OmniDecVAEs potential as a lightweight model suitable for intelligent edge wearables and clinical healthcare, unifying processing requirements and abilities in a single model, through its enhanced representational capacity, modality-invariant spatial complexity, and real-time latency.
Ioannis Ziogas, Ensieh Khazaei, Bilal Taha et al.
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