To address this issue, a method called meta regression Gaussian mixture variational autoencoder (MR-GMVAE) is proposed. First, a regression Gaussian mixture variational autoencoder (R-GMVAE) is ...

In recent years, clustering methods based on deep generative models have received great attention in various unsupervised applications, due to their capabilities for learning promising latent ...

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...