49 citations · 132 across the 4 of their papers we have counts for
4 papers
PC-Droid: Faster diffusion and improved quality for particle cloud generation
Matthew Leigh, Debajyoti Sengupta, John Andrew Raine +2
Building on the success of PC-JeDi we introduce PC-Droid, a substantially improved diffusion model for the generation of jet particle clouds. By leveraging a new diffusion formulat…
-Flows: Fast and improved neutrino reconstruction in multi-neutrino final states with conditional normalizing flows
John Andrew Raine, Matthew Leigh, Knut Zoch +1
In this work we introduce -Flows, an extension of the -Flows method to final states containing multiple neutrinos. The architecture can natively scale for all combinations…
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh, Debajyoti Sengupta, Guillaume Quétant +3
In this paper, we present a new method to efficiently generate jets in High Energy Physics called PC-JeDi. This method utilises score-based diffusion models in conjunction with tra…
ν-Flows: Conditional Neutrino Regression
Matthew Leigh, John Andrew Raine, Knut Zoch +1
We present -Flows, a novel method for restricting the likelihood space of neutrino kinematics in high energy collider experiments using conditional normalizing flows and deep in…