In a different blog post, we studied the concept of a Variational Autoencoder (or VAE) in detail. The models, which are generative, can be used to manipulate datasets by learning the distribution of ...

A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data. VAEs share some architectural similarities with regular neural autoencoders (AEs) but an AE is not ...

We propose an algorithm, guided variational autoencoder (Guided-VAE), that is able to learn a controllable generative model by performing latent representation disentanglement learning. The learning ...