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

Bayesian Neural Networks With Maximum Mean Discrepancy Regularization

03/02/2020 ∙ by Jary Pomponi ∙ 26

Adversarial Detection and Correction by Matching Prediction Distributions

02/21/2020 ∙ by Giovanni Vacanti ∙ 19

Schrödinger Bridge Samplers

12/31/2019 ∙ by Espen Bernton ∙ 16

KALE: When Energy-Based Learning Meets Adversarial Training

03/10/2020 ∙ by Michael Arbel ∙ 13

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