SL-S4Wave combines contrastive learning with a multiscale S4 encoder to outperform baselines in arrhythmia detection and EEG tasks while showing strong label efficiency and robustness on long sequences.
15 Published in Transactions on Machine Learning Research (05/2026) Christopher McMaster, David FL Liew, and Douglas EV Pires
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SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models
SL-S4Wave combines contrastive learning with a multiscale S4 encoder to outperform baselines in arrhythmia detection and EEG tasks while showing strong label efficiency and robustness on long sequences.