FAIR Universe HiggsML Uncertainty Challenge Competition

作者：W. Bhimji, P. Calafiura, R. Chakkappai, Y. Chou, S. Diefenbacher, Jordan Dudley, Steven Farrell, A. Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, E. Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang · 发表于：Proceedings of The European Physical Society Conference on High Energy Physics — PoS(EPS-HEP2025) · 年份：2026 · DOI：10.48550/arXiv.2410.02867 · 被引用次数：3 · 研究领域：Computer Science

The FAIR Universe – HiggsML Uncertainty Challenge focuses on measuring the physics properties of elementary particles with imperfect simulators due to differences in modelling systematic errors. Additionally, the challenge is leveraging a large-compute-scale AI platform for sharing datasets, training models