Our framework for explanatory model monitoring was featured at KDD

We introduce Explanatory Performance Estimation (XPE), a method that explains model behavior under feature shifts by linking performance changes to interpretable input characteristics using Optimal Transport and Shapley Values. This enables explanatory model monitoring across image, audio, and tabular data. Published in the Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.