2020
Further Analysis of Outlier Detection with Deep Generative Models
NeurIPS 2020poster
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 our overall understanding of generative modeling. In this work, we present a possible explanation for t…