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Augmenting Neural Networks with Priors on Function Values
The need for function estimation in label-limited settings is common in the natural sciences.
A deep-learning view of chemical space designed to facilitate drug discovery
Drug discovery projects entail cycles of design, synthesis, and testing that yield a series of chemically related small molecules whose properties, such as binding affinity to a given target protein, are progressively tailored to a particular drug discovery goal.
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