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David P. Wipf

1 accepted papers

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…