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Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks.
Lars M. Mescheder
Sebastian Nowozin
Andreas Geiger
Published in:
ICML (2017)
Keyphrases
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variational bayes
free energy
denoising
bayesian inference
image segmentation
gaussian mixture model
bayesian learning
posterior distribution
machine learning
image processing
expectation maximization
generative model
information theoretic
latent variables
hyperparameters