Interpretable Uncertainty Quantification in AI for HEP
Published in Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021, Submitted), 2022
Recommended citation: Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra ; Interpretable Uncertainty Quantification in AI for HEP, Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021) https://doi.org/10.48550/arXiv.2208.03284