Jean-Roch Vlimant
California Institute of Technology(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Quantum Chromodynamics and Particle Interactions, Particle Detector Development and Performance, Dark Matter and Cosmic Phenomena
Most-Cited Works
- → Solving a Higgs optimization problem with quantum annealing for machine learning(2017)214 cited
- → The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider(2022)116 cited
- → Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors(2020)83 cited
- → Pileup mitigation at the Large Hadron Collider with graph neural networks(2019)77 cited
- → Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking(2021)71 cited
- → The Tracking Machine Learning Challenge: Accuracy Phase(2019)70 cited
- → Interaction networks for the identification of boosted H→bb¯ decays(2020)64 cited
- → Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction(2021)58 cited
- → Graph Neural Networks for Particle Tracking and Reconstruction(2022)44 cited
- → Novel deep learning methods for track reconstruction(2018)44 cited