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 ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning ... strategy for improving ML-based device modeling using variational autoencoder ...

Next, Dear-DIA uses a variational autoencoder to extract the peak features ... for the use of any information through the EurekAlert system.

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data ... in a random order on each pass through the Dataset. The design pattern presented here will work ...