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In this paper, we describe the "implicit autoencoder" (IAE), a generative autoencoder in which both the generative path and the recognition path are parametrized by implicit distributions.
The "wake-sleep" algorithm for unsupervised neural networks
Geoffrey E Hinton, Peter Dayan, Brendan J Frey, and Radford M Neal · 1995
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Diederik P Kingma and Max Welling · 2014
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Stochastic backpropagation and approximate inference in deep generative models
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Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Associative compression networks
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Deep and hierarchical implicit models
Dustin Tran, Rajesh Ranganath, and David M Blei · 2017
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Pixelgan autoencoders
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