1 citations · 1 across the 4 of their papers we have counts for
4 papers
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE
Chenghui Zhou, Barnabas Poczos
Variational autoencoder (VAE) is a popular method for drug discovery and various architectures and pipelines have been proposed to improve its performance. However, VAE approaches…
Improving Molecule Properties Through 2-Stage VAE
Chenghui Zhou, Barnabas Poczos
Variational autoencoder (VAE) is a popular method for drug discovery and there had been a great deal of architectures and pipelines proposed to improve its performance. But the VAE…
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler, Viraj Mehta, Chenghui Zhou +1
Variational Autoencoders are one of the most commonly used generative models, particularly for image data. A prominent difficulty in training VAEs is data that is supported on a lo…
Unsupervised Program Synthesis for Images By Sampling Without Replacement
Chenghui Zhou, Chun-Liang Li, Barnabas Poczos
Program synthesis has emerged as a successful approach to the image parsing task. Most prior works rely on a two-step scheme involving supervised pretraining of a Seq2Seq model wit…