Machine Learning, Molecular Design, AI, Transformers, Variational Autoencoder.
while the latter constrain your encoder (recognition model) w.r.t a particular distribution. Normally we use normal distribution for that the KL divergence between our data’s distribution and standard normal distribution is an analytical answer. The objective for variational autoencoder