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10/12/2021
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Normalizing flows have shown great success as general-purpose density es...
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06/07/2019
Likelihood Ratios for Out-of-Distribution Detection
Discriminative neural networks offer little or no performance guarantees...
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06/06/2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Modern machine learning methods including deep learning have achieved gr...
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05/17/2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces
Variational autoencoders learn unsupervised data representations, but th...
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