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#machine learning Preprint Aug 2026

CAST: Context- and Anomaly Structure-Conditioned Time Series Anomaly Generation

Anomalous time series play a critical role in safety-critical domains, yet they are inherently scarce, heterogeneous, and costly to obtain. Existing time series generation methods predominantly focus on synthesizing normal data, providing limited value when anomalous samples are needed. We identify two fundamental chal...

H. Zhang, Jie Peng, Song-Yuan Sui et al. · 0 citations

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