most citedLSM-2: Learning from Incomplete Wearable Sensor Data

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cs.LG2026

WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms

Peng Cao, Zhijian Yang, Tennison Liu +17

Wearable sensors enable the continuous acquisition of high-resolution physiological waveforms, such as photoplethysmography and accelerometry, under free-living conditions. However…

cs.LG2025★ 1 cited

LSM-2: Learning from Incomplete Wearable Sensor Data

Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush +22

Foundation models, a cornerstone of recent advancements in machine learning, have predominantly thrived on complete and well-structured data. Wearable sensor data frequently suffer…