This application of the "Variational AutoEncoder" deep-learning model is an example of how machine learning can be used to interpret and extract meaning from difficult data sets that are too ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic ... basic stochastic gradient descent with a decaying learning rate schedule works better. Using the VAE ...

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