A variational autoencoder (VAE) is a deep neural system that can be ... First, you must measure how closely the reconstructed output matches the source input. More concretely, the 64 output values ...

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 ...