AI RESEARCH
Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
arXiv CS.LG
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ArXi:2606.02670v1 Announce Type: new Many recent multivariate time series anomaly detection (MT-SAD) models incorporate cross-channel modeling, under the implicit assumption that the structure of anomalies may be spread across multiple channels. We evaluate this assumption on eight widely used public benchmarks by