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Auto-Encoding Variational Bayes
Summary
The paper introduces a novel method for performing efficient approximate inference and learning in directed probabilistic models with continuous latent variables. This method, called Auto-Encoding Variational Bayes (AEVB), is based on a reparameterization of the variational lower bound, leading to a stochasti...去小宇宙查看完整单集简介
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