FlashSim: Accelerating HEP simulation with an end-to-end Machine Learning framework
EPJ Web of Conf., 295 (2024) 09020
Published online: 2024-05-06
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Towards replacing detector simulations with heterogeneous graph neural networks in flavor physics analyses
G. Hijano, D. Lancierini, A. Marshall, A. Mauri, P. Owen, M. Patel, K. Petridis, S. R. Qasim, N. Serra, W. Sutcliffe and H. TilquinPhysical Review D 113 (1) (2026)
https://doi.org/10.1103/k9ls-9pwc
Fast Perfekt: Regression-based refinement of fast simulation
Moritz Wolf, Lars Stietz, Patrick Connor, Peter Schleper and Samuel BeinSciPost Physics Core 8 (1) (2025)
https://doi.org/10.21468/SciPostPhysCore.8.1.021
CaloChallenge 2022: a community challenge for fast calorimeter simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L Caterini, Nadezda Chernyavskaya, Federico A G Corchia, Jesse C Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, et al.Reports on Progress in Physics 88 (11) 116201 (2025)
https://doi.org/10.1088/1361-6633/ae1304