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• W3100583308 abstract "For simulations where the forward and the inverse directions have a physics meaning, invertible neural networks are especially useful. A conditional INN can invert a detector simulation in terms of high-level observables, specifically for ZW production at the LHC. It allows for a per-event statistical interpretation. Next, we allow for a variable number of QCD jets. We unfold detector effects and QCD radiation to a pre-defined hard process, again with a per-event probabilistic interpretation over parton-level phase space." @default.
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• W3100583308 date "2020-11-18" @default.
• W3100583308 modified "2023-10-12" @default.
• W3100583308 title "Invertible networks or partons to detector and back again" @default.
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• W3100583308 doi "https://doi.org/10.21468/scipostphys.9.5.074" @default.
• W3100583308 hasPublicationYear "2020" @default.
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