FAIR Universe 2024: Higgs ML Uncertainty Challenge
The HiggsML Uncertainty Challenge is a machine learning competition aimed at improving uncertainty-aware AI techniques in high-energy physics. Part of the FAIR Universe initiative, focuses on estimating the Higgs boson signal strength while accounting for systematic uncertainties affecting collider experiments. Unlike traditional classification tasks, participants must construct confidence intervals that properly cover systematic distortions. The HiggsML Uncertainty Challenge establishes a benchmark for uncertainty-aware AI, with applications in high-energy physics and beyond. The competition is hosted on Codabench, an open AI benchmarking platform, and uses highperformance computing resources at NERSC Perlmutter for scalable and reproducible model evaluation. The dataset and evaluation framework will remain publicly available for continued research.
Authors
- Isabelle Guyon (ORCID: https://orcid.org/0000-0002-9266-1783)
- P. Calafiura (ORCID: https://orcid.org/0000-0002-1692-1678)
- Benjamin Nachman (ORCID: https://orcid.org/0000-0003-1024-0932)
- P. Nugent (ORCID: https://orcid.org/0000-0002-3389-0586)
- Ihsan Ullah (ORCID: https://orcid.org/0009-0008-8784-3743)
- Sascha Diefenbacher (ORCID: https://orcid.org/0000-0003-4308-6804)
- Steven Farrell (ORCID: https://orcid.org/0000-0003-1854-4113)
- Po-Wen Chang (ORCID: https://orcid.org/0000-0003-1134-0652)
- Chris Harris (ORCID: https://orcid.org/0000-0001-5237-2250)
- E. E. Khoda (ORCID: https://orcid.org/0000-0002-8340-9455)
- Yulei Zhang (ORCID: https://orcid.org/0000-0002-0955-3758)
- Wahid Bhimji (ORCID: https://orcid.org/0000-0002-6213-8617)
- Aishik Ghosh
- Shih-Chieh Hsu
- Y. Chou (ORCID: https://orcid.org/0000-0002-6638-847X)
- Rémy Lyscar
- Benjamin Sluijter (ORCID: https://orcid.org/0009-0009-6830-9016)
- Benjamin Thorne
- Ragansu Chakkappai (ORCID: https://orcid.org/0009-0008-4577-9210)
- Alexandre Michon
- Mathis Reymond
- D. Rousseau
- Jordan Dudley
Institutions
- Leiden University (NL)
- Centre National de la Recherche Scientifique (FR)
- Lawrence Berkeley National Laboratory (US)
- Gleason (United States) (US)
- University of Washington (US)
- University of California, Irvine (US)
- Université Paris-Saclay (FR)
- University of California San Diego (US)
- Institut National de Physique Nucléaire et de Physique des Particules (FR)
- Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (FR)
- Seattle University (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701200
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00