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Why Does Counterintuitive Likelihood Behavior Rarely Emerge in Tabular Anomaly Detection?
Deep generative models with tractable likelihoods, exemplified by normalizing flows, offer an effective basis for anomaly detection through likelihood-based scoring. We demonstrate that, unlike in the image domain where deep generative models frequently assign higher likelihoods to anomalous data, s
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