These three models form a variational autoencoder and can be trained jointly in a semi-supervised manner. The experimental results show that the regularization of the classification model based on the ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...

In a bold step forward for real-time animation and generative media, Stockholm-based startup Motorica has announced a €5 million seed round to accelerate the rollout of its AI-powered animation ...

The logic behind this approach is centered on the idea that many deep learning methods (especially generative methods) were designed for images and developing methodologies for defining crystal ...

Finding target molecules with specific chemical properties plays a decisive role in drug development. We proposed GEOM-CVAE, a constrained variational autoencoder based on geometric representation for ...