Figure 2: Variational Autoencoder Architecture for the UCI Digits Dataset The key point ... vae = VAE().to(device) # create model bat_size = 10 max_epochs = 10 log_interval = 2 lrn_rate = 0.001 beta = ...

The performance of ML models, however, relies heavily on the quality and ... we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based ...