Bal, A https://orcid.org/0000-0001-6321-5189
Brandes, T https://orcid.org/0009-0004-1741-4004
Iemmi, F https://orcid.org/0000-0001-5911-4051
Klute, M https://orcid.org/0000-0002-0869-5631
Maier, B https://orcid.org/0000-0001-5270-7540
Mikuni, V https://orcid.org/0000-0002-1579-2421
Årrestad, T K https://orcid.org/0000-0002-7671-243X
Funding for this research was provided by:
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (PZ00P2 201594)
National Natural Science Foundation of China (12061141003)
Office of Science of the U.S. Department of Energy (DE-AC02-05CH11231)
Alexander von Humboldt-Stiftung
Ministry of Science and Technology of China (2018YFA0403901)
Article Title: Distilling particle knowledge for fast reconstruction at high-energy physics experiments
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-11-21
Date Accepted: 2024-04-25
Online publication date: 2024-05-07