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Found 3 papers, 1 papers with code
A principal odor map unifies diverse tasks in olfactory perception
Mapping molecular structure to odor perception is a key challenge in olfaction.
On the role of theory and modeling in neuroscience
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods.
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
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.
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