347 citations · 539 across the 10 of their papers we have counts for
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hep-ph2021★ 59 cited
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks
Joseph Aylett-Bullock, Simon Badger, Ryan Moodie
Machine learning technology has the potential to dramatically optimise event generation and simulations. We continue to investigate the use of neural networks to approximate matrix…
hep-ph2020★ 44 cited
Using neural networks for efficient evaluation of high multiplicity scattering amplitudes
Simon Badger, Joseph Bullock
Precision theoretical predictions for high multiplicity scattering rely on the evaluation of increasingly complicated scattering amplitudes which come with an extremely high CPU co…