A quantitative benchmark for explainable artificial intelligence in astronomical transient classification
Explainable artificial intelligence ( , an open benchmark that evaluates explanation quality along five complementary axes -- perturbation-based faithfulness, deletion and insertion AUC, complexity, cross-representation plausibility, and the standard model- and data-randomisation sanity checks -- applied to nine classi...