Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction

SIGNAL ANALYSIS

Time-series anomaly prediction is hard because models can't forecast failures before they emerge. SC-JEPA stabilizes latent predictive learning to catch precursor dynamics, but it's still unclear how well it holds up outside the lab.