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stat.ML2021
Entropic Issues in Likelihood-Based OOD Detection
Anthony L. Caterini, Gabriel Loaiza-Ganem
Deep generative models trained by maximum likelihood remain very popular methods for reasoning about data probabilistically. However, it has been observed that they can assign high…
stat.ML2021★ 2 cited
Rectangular Flows for Manifold Learning
Anthony L. Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss +1
Normalizing flows are invertible neural networks with tractable change-of-volume terms, which allow optimization of their parameters to be efficiently performed via maximum likelih…