Search Results for author: Brian K. Lee

Found 3 papers, 1 papers with code

Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules

no code implementations23 Oct 2019 Benjamin Sanchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Richard C. Gerkin, Alán Aspuru-Guzik, Alexander B. Wiltschko

Based on these early results with graph neural networks for molecular properties, we hope machine learning can eventually do for olfaction what it has already done for vision and hearing.

BIG-bench Machine Learning Nutrition +1

AutoGraph: Imperative-style Coding with Graph-based Performance

no code implementations16 Oct 2018 Dan Moldovan, James M Decker, Fei Wang, Andrew A Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko

In machine learning, imperative style libraries like Autograd and PyTorch are easy to write, but suffer from high interpretive overhead and are not easily deployable in production or mobile settings.

BIG-bench Machine Learning

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