Jennie Martin (@jennieemartin.bsky.social)

Learning on compressed molecular representations Last year, a preprint gained notoriety, proposing that a k-nearest neighbour classifier is able to outperform large-language models using compressed text as input and normalised compression distance (NCD) as a metric. In chemistry and biochemistry, molecules are often represented as strings, such as SMILES f https://doi.org/10.1039/D4DD00162A