Author: Andrew Silberfarb
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Transformer Based Molecule Encoding for Property Prediction
We build a Transformer-based molecule encoder and property predictor network with novel input featurization that performs significantly better than existing methods.
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Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks
We introduce Deep Adaptive Semantic Logic (DASL), a novel framework for automating the generation of deep neural networks that incorporates user-provided formal knowledge to improve learning from data.
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Resources to discover and use short linear motifs in viral proteins
We survey viral uses of SLiMs to mimic host proteins, and information resources available for motif discovery.