97 citations · 175 across the 9 of their papers we have counts for
3 papers · 1 filter
Generative Invertible Quantum Neural Networks
Armand Rousselot, Michael Spannowsky
Invertible Neural Networks (INN) have become established tools for the simulation and generation of highly complex data. We propose a quantum-gate algorithm for a Quantum Invertibl…
Generative Networks for Precision Enthusiasts
Anja Butter, Theo Heimel, Sander Hummerich +4
Generative networks are opening new avenues in fast event generation for the LHC. We show how generative flow networks can reach percent-level precision for kinematic distributions…
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…