Showing 1–20 of 45 results
/ Date/ Name
Apr 11, 2016The Gauge-Higgs Legacy of the LHC Run IJul 8, 2015Invisible Higgs Decays to Hooperons in the NMSSMAug 19, 2020Generative Networks for LHC eventsSep 21, 2021Back to the Formula -- LHC EditionDec 16, 2022An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative trainingMay 29, 2018Actual Physics behind Mono-XSep 30, 2022Two Invertible Networks for the Matrix Element MethodFeb 18, 2022Ephemeral Learning -- Augmenting Triggers with Online-Trained Normalizing FlowsDec 14, 2020How to GAN Event UnweightingSep 27, 2021Presenting Unbinned Differential Cross Section ResultsDec 16, 2021Targeting Multi-Loop Integrals with Neural NetworksApr 29, 2024The Landscape of Unfolding with Machine LearningDec 18, 2019How to GAN Event SubtractionDec 17, 2020Measuring QCD Splittings with Invertible NetworksJul 8, 2019How to GAN LHC EventsMar 31, 2023Searching for dark matter subhalos in the Fermi-LAT catalog with Bayesian neural networksOct 11, 2023Precision-Machine Learning for the Matrix Element MethodJul 20, 2025Simulation-Prior Independent Neural Unfolding ProcedureMay 17, 2023Jet Diffusion versus JetGPT -- Modern Networks for the LHCJun 29, 2022Loop Amplitudes from Precision Networks