Generating Synthetic Data Using a Variational Autoencoder with PyTorch. Generating synthetic data is useful when you have imbalanced training data ... the demo trains a VAE model using the 389 images.

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides. Hossein Abbasi, Mahdi Malekpour, Shahin Yaghoobi, Sina Abdous, Mohammad Hossein Rohban, ...

We used the variational Bayesian approach 36-40 for multiple feature autoencoder learning, which is applied by the training algorithm called stochastic gradient variational Bayes. 36,41 The ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...

Jukebox’s autoencoder model processes audio with an approach called Vector Quantized Variational AutoEncoder (VQ-VAE).