Anomaly scores for generative models

1 code implementation • 28 May 2019 • Václav Šmídl, Jan Bím, Tomáš Pevný

Reconstruction error is a prevalent score used to identify anomalous samples when data are modeled by generative models, such as (variational) auto-encoders or generative adversarial networks.