Recent developments in Generative Deep Learning have fostered new engineering methods for protein design. Although deep generative models trained on protein sequence can learn biologically meaningful ...

For inference we extend variational autoencoders to use graphical model approximating distributions, paired with recognition networks that output conjugate potentials. All components of these models ...