XAI4Extremes: An explainable AI framework for understanding extreme-weather precursors

Jiawen Wei, Aniruddha Bora, Vivek Oommen, Chenyu Dong, Juntao Yang, Jeff Adie, Chen Chen, Simon See, George Em Karniadakis, Gianmarco Mengaldo

Keywords: explainable artificial intelligence, post-hoc interpretability, interpretable machine learning, extreme-weather precursors

TL;DR: We use post-hoc interpretability methods to enrich the understanding of extreme-weather precursors.

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Submission Number: 185