3 papers
hep-ph2020
Invertible Networks or Partons to Detector and Back Again
Marco Bellagente, Anja Butter, Gregor Kasieczka +5
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 simul…
hep-ph2019
How to GAN Event Subtraction
Anja Butter, Tilman Plehn, Ramon Winterhalder
Subtracting event samples is a common task in LHC simulation and analysis, and standard solutions tend to be inefficient. We employ generative adversarial networks to produce new e…
hep-ph2019
How to GAN LHC Events
Anja Butter, Tilman Plehn, Ramon Winterhalder
Event generation for the LHC can be supplemented by generative adversarial networks, which generate physical events and avoid highly inefficient event unweighting. For top pair pro…