Kullback–Leibler divergence

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Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function

07/21/2019 ∙ by Stephen Odaibo ∙ 37

Importance Weighted Hierarchical Variational Inference

05/08/2019 ∙ by Artem Sobolev ∙ 32

Ranking variables and interactions using predictive uncertainty measures

10/17/2019 ∙ by Topi Paananen ∙ 29

Statistical Inference in Mean-Field Variational Bayes

11/04/2019 ∙ by Wei Han ∙ 13

Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets

01/31/2019 ∙ by Jue Jiang ∙ 12

Rediscovering Deep Neural Networks in Finite-State Distributions

09/26/2018 ∙ by Amir Emad Marvasti ∙ 4

Learning Deep Generative Models with Short Run Inference Dynamics

12/04/2019 ∙ by Erik Nijkamp ∙ 0

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