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In this paper, we study two aspects of the variational autoencoder (VAE): the prior distribution over the latent variables and its corresponding posterior.
Mathematics of control, signals, and systems approximation by superpositions of a sigmoidal function
Cybenkot, G · 1989
Earlier work this paper cites.
Nonlinear Independent Component Analysis: Existence and Uniqueness Results
Hyvarjnen, Aapo and Pajunen, Petteri · 1998
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Applying discrete pca in data analysis
Buntine, Wray and Jakulin, Aleks · 2004
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Divergence measures and message passing
Minka, Tom · 2005
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The neural autoregressive distribution estimator
Larochelle, Hugo and Murray, Iain · 2011
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NICE: Non-linear Independent Components Estimation
Dinh, Laurent, Krueger, David, and Bengio, Yoshua · 2014
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Generative adversarial nets
Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua · 2014
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Auto-Encoding Variational Bayes
Kingma, Diederik P and Welling, Max · 2014
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Stochastic backpropagation and approximate inference in deep generative models
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He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2015
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Deep Variational Inference Without Pixel-Wise Reconstruction
Agrawal, Siddharth and Dukkipati, Ambedkar · 2016
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Density estimation using real NVP
Dinh, Laurent, Sohl-Dickstein, Jascha, and Bengio, Samy · 2016
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Elbo surgery: yet another way to carve up the variational evidence lower bound
Hoffman, Matthew D. and Johnson, Matthew J · 2016
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Improving Variational Inference with Inverse Autoregressive Flow
Kingma, Diederik P, Salimans, Tim, and Welling, Max · 2016
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Pixel Recurrent Neural Networks
Van Den Oord, Aäron, Kalchbrenner, Nal, and Kavukcuoglu, Koray · 2016
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Hierarchical variational models
Ranganath, Rajesh, Tran, Dustin, and Blei, David M · 2015
Cited alongside, same era.
Variational Inference with Normalizing Flows
Rezende, Danilo Jimenez and Mohamed, Shakir · 2015
Cited alongside, same era.
Goodfellow, Ian J · 2017
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Tomczak, Jakub M. and Welling, Max · 2017
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