When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem

Ashley S. Dale, Kangming Li, Brian DeCost +4

Efficiently and meaningfully estimating prediction uncertainty is important for exploration in active learning campaigns in materials discovery, where samples with high uncertainty…