arxiv
PublishedJune 12, 2026 at 4:00 AM
—neutral
ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
Publisher summary· verbatim
arXiv:2604.13924v3 Announce Type: replace-cross Abstract: Time-series anomaly detection (TSAD) is critical in domains such as industrial monitoring, healthcare, and cybersecurity, but it remains challenging due to rare and heterogeneous anomalies and the scarcity of labelled data. This scarcity make
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Originally published on arxiv ↗