Stefan Hödl, William Robinson, Yoram Bachrach, Wilhelm Huck, Tal Kachman
TL;DR该研究提出了一种可解释的AI技术来解释和预测化学模型，能够精确推断分子溶度和物理属性。
Abstract
explainability techniques are crucial in gaining insights into the reasons behind the predictions of deep learning models, which have not yet been applied to →