Sung Il Kim

Complexity- and Statistics-Guided Anomaly Detection in Time Series Foundation Models

This paper introduces a methodology for anomaly detection in time series using Time Series Foundation Models (TFMs). While TFMs have achieved strong success in forecasting, their role in anomaly detection remains underexplored. We identify two key challenges when applying TFMs to reconstruction-base…