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Showing 1 to 1 of 1 for “"Deep generative networks"”.
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Learning distributions with Particle Mirror Descent
… By marrying Bayesian probabilistic inference and deep neural networks, deep generative networks have shown remarkable success in various kinds of generative tasks. However, such models usually make an assumption that posterior distribution can be simply characterized as a Gaussian distribution, …