5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Multi-Airport Delay Prediction with Transformers
Liya Wang, Alex Tien, Jason Chou
Airport performance prediction with a reasonable look-ahead time is a challenging task and has been attempted by various prior research. Traffic, demand, weather, and traffic manag…
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…