52 citations · 165 across the 14 of their papers we have counts for
3 papers · 1 filter
High Pileup Particle Tracking with Object Condensation
Kilian Lieret, Gage DeZoort, Devdoot Chatterjee +3
Recent work has demonstrated that graph neural networks (GNNs) can match the performance of traditional algorithms for charged particle tracking while improving scalability to meet…
An Object Condensation Pipeline for Charged Particle Tracking at the High Luminosity LHC
Kilian Lieret, Gage DeZoort
Recent work has demonstrated that graph neural networks (GNNs) trained for charged particle tracking can match the performance of traditional algorithms while improving scalability…
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking
Xiangyang Ju, Daniel Murnane, Paolo Calafiura +21
The Exa.TrkX project has applied geometric learning concepts such as metric learning and graph neural networks to HEP particle tracking. Exa.TrkX's tracking pipeline groups detecto…