Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball +1

Deep generative networks trained via maximum likelihood on a natural image dataset like CIFAR10 often assign high likelihoods to images from datasets with different objects (e.g.,…