To generate different functional genomic features, we develop a novel Latent Differentiation Variational AutoEncoder (LD-VAE) to learn the genomic and function-specific posteriors for the genomic ...

An autoencoder maps a unified, all-atom representations of molecules and materials to a shared latent embedding space; and A diffusion model is trained to generate new latent embeddings that the ...