Balancing molecular information and empirical data in the prediction of physico-chemical properties
Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler · Digital Discovery · 2025
We propose a general framework for predicting physico-chemical properties. The method combines structure information and learned representations, and trades off between them based on uncertainty estimates with the expectation maximization algorithm.