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

Insilico Medicine presented an original deep neural network architecture, Entangled Conditional Adversarial Autoencoder (ECAAE), which generates molecular structures based on various properties ...

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.

In this study, Insilico Medicine researchers developed a new model, the Bidirectional Adversarial Autoencoder, that learns a joint distribution of molecular structures and induced transcriptional ...

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.

Rather than sourcing an exhaustively annotated “emotion” corpus to teach a system, they fed an adversarial autoencoder a publicly available data set containing 10,000 utterances from 10 ...