Fig. 1From: Explainable uncertainty quantifications for deep learning-based molecular property predictionAn illustration of the difference between aleatoric and epistemic uncertainties. The dots on the plot represent the available data points. Aleatoric uncertainty captures varying degrees of inherent noise in the data, while epistemic uncertainty reflects the ignorance gap due to a lack of dataBack to article page