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The second algorithm, F-VAE (fragment-based variational autoencoder), takes a chemical fragment and builds it into a complete molecule.
Variational Autoencoder(VAE) combines the ideas of autoencoders and variational inference, introducing the concept of latent space and variational inference to endow autoencoders to generate new ...
This paper presents a novel approach for codebook initialization in the well-established Vector Quantized-Variational AutoEncoder (VQ-VAE). Rapid Object Modeling (ROM), inspired by few-shot metric ...