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Combining deep generative and discriminative models for Bayesian semi-supervised learning - ScienceDirect
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Event generation and statistical sampling for physics with deep generative models and a density information buffer | Nature Communications
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arxiv on Twitter: "Kernel Change-point Detection with Auxiliary Deep Generative Models. https://t.co/IS6yVDKfNb https://t.co/Y8TrR0iQm2" / Twitter
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A survey on generative adversarial networks for imbalance problems in computer vision tasks | Journal of Big Data | Full Text
GitHub - larsmaaloee/auxiliary-deep-generative-models: Deep generative models for semi-supervised learning.
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Stochastic Backpropagation and Approximate Inference in Deep Generative Models | World data, Bayesian inference, Inference
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