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Deep learning's dominance in time series anomaly detection may be overstated: a carefully evaluated PCA baseline rivals the performance of the widely-used OmniAnomaly.
Ditch slow, unstable AR estimation: neural nets offer a 12x speed boost and better convergence, without sacrificing interpretability.
