input. In general, the models trained for only 4 epochs did not learn, the models trained for 40 epochs started to learn, and the models trained for 400 epochs had high variance in their performance as molecules were added. In terms of RMSE, no active learning method outperformed selecting molecules at random. However, for Pearson's R in Figure there is some potential signal in the 400 epoch training for the Gaussian and NIG regression models, as there is a separation between the two lines. However, since there is no difference in the RMSE performance for the same models this is likely misleading and an artifact of the single seed we utilized for this experiment. This is reinforced by us also observing the failure of these models to generalize outside of the two clusters that they were trained on.