A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

In this article, we propose a self-augmentation strategy for improving ML-based device modeling using variational autoencoder (VAE)-based techniques ... thus making it highly relevant to many ...

This led us to analyze online variational learning approach for finite mixture models based on different distributions. To this end, our contribution is the application of online variational learning ...