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Cited article:

Explainable machine learning of the underlying physics of high-energy particle collisions

Yue Shi Lai, Duff Neill, Mateusz Płoskoń and Felix Ringer
Physics Letters B 829 137055 (2022)
https://doi.org/10.1016/j.physletb.2022.137055

Non-parametric data-driven background modelling using conditional probabilities

Andrew Chisholm, Thomas Neep, Konstantinos Nikolopoulos, et al.
Journal of High Energy Physics 2022 (10) (2022)
https://doi.org/10.1007/JHEP10(2022)001

Parameter estimation using neural networks in the presence of detector effects

Anders Andreassen, Shih-Chieh Hsu, Benjamin Nachman, Natchanon Suaysom and Adi Suresh
Physical Review D 103 (3) (2021)
https://doi.org/10.1103/PhysRevD.103.036001

Combine and conquer: event reconstruction with Bayesian Ensemble Neural Networks

Jack Y. Araz and Michael Spannowsky
Journal of High Energy Physics 2021 (4) (2021)
https://doi.org/10.1007/JHEP04(2021)296