Flipped-Adversarial AutoEncoders

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Zhang, Jiyi; Dang, Hung; Lee, Hwee Kuan; Chang, Ee-Chien;
  • Subject: Computer Science - Learning
    arxiv: Statistics::Machine Learning

We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an encoder E that embodies an "inverse mapping" that encodes a data sample into a latent code v... View more
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