InfoVAE: Information Maximizing Variational Autoencoders

7 Jun 2017Shengjia ZhaoJiaming SongStefano Ermon

A key advance in learning generative models is the use of amortized inference distributions that are jointly trained with the models. We find that existing training objectives for variational autoencoders can lead to inaccurate amortized inference distributions and, in some cases, improving the objective provably degrades the inference quality... (read more)

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