Search Results for author:
Found 3 papers, 2 papers with code
On Explicit Curvature Regularization in Deep Generative Models
We propose a family of curvature-based regularization terms for deep generative model learning.
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers
A reliable evaluation method is essential for building a robust out-of-distribution (OOD) detector.
Autoencoding Under Normalization Constraints
The specific role of the normalization constraint is to ensure that the out-of-distribution (OOD) regime has a small likelihood when samples are learned using maximum likelihood.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
