Across five public datasets, weighted XGBoost and autoencoder baselines match or beat time series foundation models on anomaly detection and prediction, at a fraction of the computational cost.
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Time Series Foundational Models: Their Role in Anomaly Detection and Prediction
Across five public datasets, weighted XGBoost and autoencoder baselines match or beat time series foundation models on anomaly detection and prediction, at a fraction of the computational cost.