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Sergio Bacallado

1 accepted papers

2023

Tanimoto Random Features for Scalable Molecular Machine Learning

NeurIPS 2023poster

The Tanimoto coefficient is commonly used to measure the similarity between molecules represented as discrete fingerprints, either as a distance metric or a positive definite kernel. While many kernel methods can be accelerated using random feature approximations, at present there is a lack of such…