A Machine Learning model to generate simple images of costumes. This model is trained on the FashionMNIST dataset with 60,000 images and 10 classes, where each class is a type of clothes (e.g.

In this paper we combine the echo-state network, which is a simple training method for recurrent networks, with the VAE, in order to learn representation from multivariate time series data. We present ...

We present a variational autoencoder (VAE) learning framework with introspective training for conditional image synthesis, and explore conditional capsule encoder by class-wise mask label insertion ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech.. Several recent end-to-end text-to-speech (TTS) models enabling ...