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%0 Conference Paper
%A Farkas, Máté Zoltán
%A Diekmann, Svenja
%A Eich, Niclas
%A Erdmann, Martin
%T A method for inferring signal strength modifiers by conditional invertible neural networks
%V 295
%C Les Ulis
%I EDP Sciences
%M RWTH-2024-10548
%B The European physical journal. Web of Conferences
%P 09001, [1]-7
%D 2024
%< 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023) : Norfolk, VA, USA, May 8-12, 2023 / R. De Vita, X. Espinal, P. Laycock and O. Shadura (eds.)
%B 26. International Conference on Computing in High Energy and Nuclear Physics
%C 8 May 2023 - 12 May 2023, Norfolk, VA (USA)
Y2 8 May 2023 - 12 May 2023
M2 Norfolk, VA, USA
%F PUB:(DE-HGF)7 ; PUB:(DE-HGF)8
%9 Contribution to a bookContribution to a conference proceedings
%U <Go to ISI:>//WOS:001244151902052
%R 10.1051/epjconf/202429509001
%U https://publications.rwth-aachen.de/record/996357