arXiv Machine Learning June 9, 2026 By Yenho Chen, Maxwell A. Xu, James M. Rehg, Christopher J. Rozell

Self-Supervised Dynamical System Representations for Physiological Time-Series

Read the original on arXiv Machine Learning →

arXiv:2512. 00239v2 Announce Type: replace Abstract: The effectiveness of self-supervised learning (SSL) for physiological time series depends on the ability of a pretraining objective to preserve information about the underlying physiological state while filtering out unrelated noise.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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