Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows
arXiv:2603.11756v1 Announce Type: new Abstract: Deep generative models for anomaly detection in multivariate time-series are typically trained by maximizing data likelihood. However, likelihood in observation …
David Baumgartner, Eliezer de Souza da Silva, I\~nigo Urteaga
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