# Constructing an olfactory perceptual space and predicting percepts from molecular structure

arXiv: https://arxiv.org/abs/1708.05774 · HTML: https://mlsanity.com/paper/1708.05774/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Aug 2017.

## Built on by (most cited first, 1 of 1)

- [DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts](https://mlsanity.com/paper/2412.08747/) (2024)

## Abstract (arXiv)

Given the structure of a novel molecule, there is still no one who can reliably predict what odor percept that molecule will evoke. The challenge comes from both the difficulty in quantitatively characterizing molecular structure, and the inadequacy of language to fully characterize olfactory perception. Here, we present a novel approach to both problems.