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Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
We introduce a deep generative model for representation learning of biological sequences that, unlike existing models, explicitly represents the evolutionary process.
EinSteinVI: General and Integrated Stein Variational Inference
Stein variational inference is a technique for approximate Bayesian inference that has recently gained popularity because it combines the scalability of variational inference (VI) with the flexibility of non-parametric inference methods.
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