Generalist Representation, Specialist Detection: TS-Router for Time-Series Anomaly Detection
Time-series anomaly detection (TSAD) is difficult to generalize across datasets because heterogeneous temporal dynamics imply different notions of normality and favor different detection criteria. While time-series foundation models provide transferable representations, coupling them with a fixed anomaly-scoring mechan...
Tian Lan, Yi-Fei Gao, Yi-Meng Lu et al.
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