most citedOnline Time Series Anomaly Detection with State Space Gaussian Processes

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 6 cited

Online Time Series Anomaly Detection with State Space Gaussian Processes

Christian Bock, François-Xavier Aubet, Jan Gasthaus +3

We propose r-ssGPFA, an unsupervised online anomaly detection model for uni- and multivariate time series building on the efficient state space formulation of Gaussian processes. F…