A Novel Variational Autoencoder with Applications to Generative Modelling, Classification, and Ordinal Regression

Joel Jaskari, Jyri J. Kivinen

We develop a novel probabilistic generative model based on the variational autoencoder approach. Notable aspects of our architecture are: a novel way of specifying the latent varia…