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 ...

Video surveillance systems are essential for an intelligent and smart traffic monitoring system. Detecting and recognizing traffic anomalies is the foremost task for the safety and security of human ...

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 ...