Machine Learning, Molecular Design, AI, Transformers, Variational Autoencoder.
molecules in the dataset. — VAE and Why The architecture is the attention-based variational autoencoder(VAE) model. Let’s start with the VAE first, which derives from the vanilla autoencoder. The autoencoder serves the purpose of data compression or denoising. It let the original data go through an