Further Analysis of Outlier Detection with Deep Generative Models

Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

Abstract: The recent, counter-intuitive discovery that deep generative models (DGMs) can frequently assign a higher likelihood to outliers has implications for both outlier detection applications as well as ...