97 citations · 97 across the 1 of their papers we have counts for
2 papers
stat.ML2019★ 97 cited
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
Benjamin Sanchez-Lengeling, Jennifer N. Wei, Brian K. Lee +3
Predicting the relationship between a molecule's structure and its odor remains a difficult, decades-old task. This problem, termed quantitative structure-odor relationship (QSOR)…
cs.PL2018
AutoGraph: Imperative-style Coding with Graph-based Performance
Dan Moldovan, James M Decker, Fei Wang +6
There is a perceived trade-off between machine learning code that is easy to write, and machine learning code that is scalable or fast to execute. In machine learning, imperative s…