druGAN: A concept of a Generative Adversarial Autoencoder de Novo Generation of New Molecules with Desired Molecular Properties ...

A generative adversarial network (GAN) is a deep neural system that can be used to generate synthetic data. GANs are most often used with image data but GANs can create any type of data. GANs are ...

Generative biology meets generative chemistry: bidirectional conditional autoencoder to generate novel molecular structures for the desired transcriptional response.

We propose an unsupervised method for detecting adversarial attacks in inner layers of autoencoder (AE) networks by maximizing a non-parametric measure of anomalous node activations.

Facebook has combined an “adversarial autoencoder” and a “trained-face classifier”. An autoencoder is an artificial neural network that learns a representation for a set of data unsupervised.

The Data Science Lab Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep ...