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 ...

To speed up the optimization process, we transform the corresponding problem into a lower-dimensional latent space learned by a variational autoencoder. This is trained on a total of 6839 different 2D ...

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 ...