most citedImproved particle-flow event reconstruction with scalable neural networks for current and future particle detectors

9 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

hep-ex2025★ 3 cited

Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders

Farouk Mokhtar, Joosep Pata, Dolores Garcia +4

We demonstrate transfer learning capabilities in a machine-learned algorithm trained for particle-flow reconstruction in high energy particle colliders. This paper presents a cross…

physics.data-an2023★ 9 cited

Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors

Joosep Pata, Eric Wulff, Farouk Mokhtar +4

Efficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity Large Hadron Collider and the Future Ci…