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VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
VACE learns geometrically structured time-series embeddings via velocity consistency to detect anomalies with state-of-the-art accuracy on TSB-AD-M.
Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5