A variational autoencoder (VAE) is a deep neural system that can be used ... Training a VAE involves two measures of similarity (or equivalently measures of loss). First, you must measure how closely ...

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques. These techniques require a small number of ...