AINeutralarXiv – CS AI · 7h ago6/10
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STEP: Learning STructured Embeddings for Progressive Time Series
Researchers introduce STEP, a self-supervised learning method that creates interpretable representations of time series data showing irreversible state transitions like equipment degradation or task completion. The approach encodes progression information in geometric coordinates (polar angles and radius) without requiring labeled data, matching or exceeding black-box models while providing transparency into underlying mechanisms.