Les Houches guide to reusable ML models in LHC analyses
Jack Y. Araz, Andy Buckley, Gregor Kasieczka, Jan Kieseler, Sabine Kraml, Anders Kvellestad, Andre Lessa, Tomasz Procter, Are Raklev, Humberto Reyes-Gonzalez, Krzysztof Rolbiecki, Sezen Sekmen, Gokhan Unel
SciPost Phys. Comm. Rep. 3 (2024) · published 6 November 2024
- doi: 10.21468/SciPostPhysCommRep.3
- Submissions/Reports
Abstract
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practical issues for both reporting them accurately and for ensuring the stability of their behaviours in different environments and over extended timescales. In this note we discuss the current state of affairs, highlighting specific practical issues and focusing on the most promising technical and strategic approaches to ensure trustworthy analysis-preservation. This material originated from discussions in the LHC Reinterpretation Forum and the 2023 PhysTeV workshop at Les Houches.
Cited by 2
Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 Jack Y. Araz,
- 2 Andy Buckley,
- 3 Gregor Kasieczka,
- 4 Jan Kieseler,
- 5 6 7 Sabine Kraml,
- 8 Anders Kvellestad,
- 9 Andre Lessa,
- 2 Tomasz Procter,
- 8 Are Raklev,
- 10 11 12 Humberto Reyes-González,
- 13 Krzysztof Rolbiecki,
- 14 Sezen Sekmen,
- 15 Gokhan Ünel
- 1 Thomas Jefferson National Accelerator Facility [JLAB]
- 2 University of Glasgow
- 3 Universität Hamburg / University of Hamburg [UH]
- 4 Karlsruher Institut für Technologie / Karlsruhe Institute of Technology [KIT]
- 5 Institut polytechnique de Grenoble / Grenoble Institute of Technology
- 6 Université Grenoble Alpes / Grenoble Alpes University [UGA]
- 7 Centre National de la Recherche Scientifique / French National Centre for Scientific Research [CNRS]
- 8 Universitetet i Oslo / University of Oslo [UiO]
- 9 Universidade Federal do ABC [UFABC]
- 10 Università degli Studi di Genova / University of Genoa [UniGe]
- 11 Istituto Nazionale di Fisica Nucleare Sezione di Genova / National Institute of Nuclear Physics Genoa Section [INFN Genova]
- 12 Rheinisch-Westfälische Technische Hochschule Aachen / RWTH Aachen University [RWTH]
- 13 Uniwersytet Warszawski / University of Warsaw [UW]
- 14 경북대학교 / Kyungpook National University [KNU]
- 15 University of California, Irvine [UCI]
- Alexander von Humboldt-Stiftung / Alexander von Humboldt Foundation
- Centre National de la Recherche Scientifique / French National Centre for Scientific Research [CNRS]
- Deutsche Forschungsgemeinschaft / German Research FoundationDeutsche Forschungsgemeinschaft [DFG]
- Fundação de Amparo à Pesquisa do Estado de São Paulo / São Paulo Research Foundation [FAPESP]
- Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) (through Organization: Ministero dell'Istruzione, dell'Università e della Ricerca / Ministry of Education, Universities and Research [MIUR])
- Narodowe Centrum Nauki / National Science Center [NCN]
- National Research Foundation of Korea [NRF]
- Norges Forskningsråd / The Research Council of Norway
- Norway Grants
- Science and Technology Facilities Council [STFC]