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 ...

In this article, a conditional variational autoencoder based method is proposed for the probabilistic wind power curve modeling task. To advance the modeling performance, the latent random variable is ...

A Conditional Variational Autoencoder (CVAE) is an extension of the VAE that conditions the latent variables on additional information, such as labels or other attributes. This allows the model to ...