Brian K. Lee

According to our database, Brian K. Lee authored at least 5 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases.

Gary Tom, Cher Tian Ser, Ella M. Rajaonson, Stanley Lo, Hyun Suk Park, Brian K. Lee, Benjamín Sánchez-Lengeling

CoRR, January, 2025

Does this smell the same? Learning representations of olfactory mixtures using inductive biases.

Gary Tom, Cher Tian Ser, Ella M. Rajaonson, Stanley Lo, Hyun Suk Park, Brian K. Lee, Benjamín Sánchez-Lengeling

Mach. Learn. Sci. Technol., 2025

2020

Evaluating Attribution for Graph Neural Networks.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Richard C. Gerkin, Alán Aspuru-Guzik, Alexander B. Wiltschko

CoRR, 2019

AutoGraph: Imperative-style Coding with Graph-based Performance.

Dan Moldovan, James M. Decker, Fei Wang, Andrew A. Johnson, Brian K. Lee, Zachary Nado, D. Sculley, Tiark Rompf, Alexander B. Wiltschko

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019