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Found 3 papers, 1 papers with code
On the current failure -- but bright future -- of topology-driven biological network alignment
The function of a protein is defined by its interaction partners.
Learning Consistent Deep Generative Models from Sparsely Labeled Data
We consider training deep generative models toward two simultaneous goals: discriminative classification and generative modeling using an explicit likelihood.
Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints
We develop a new framework for learning variational autoencoders and other deep generative models that balances generative and discriminative goals.
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