Generating Synthetic Data Using a Variational Autoencoder with PyTorch. Generating synthetic data is useful when you have imbalanced training data for a particular class, ... For non-image source data ...

Deep variational autoencoder for proteomics mass spectrometry data analysis Research . image: Figure 1. Schematic diagram of Dear-DIA. view more . Credit: Research. Jianwei ...

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

Combining the mean and log-variance in this way is called the reparameterization trick. The discovery of this idea in the original 2013 research paper ("Auto-Encoding Variational Bayes" by D.P. Kingma ...