5 citations · 12 across the 6 of their papers we have counts for
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cs.LG2019★ 5 cited
Generated Loss and Augmented Training of MNIST VAE
Jason Chou
The variational autoencoder (VAE) framework is a popular option for training unsupervised generative models, featuring ease of training and latent representation of data. The objec…
cs.LG2019★ 3 cited
Generated Loss, Augmented Training, and Multiscale VAE
Jason Chou, Gautam Hathi
The variational autoencoder (VAE) framework remains a popular option for training unsupervised generative models, especially for discrete data where generative adversarial networks…