Steven Farrell
Lawrence Berkeley National Laboratory(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Particle Detector Development and Performance, High-Energy Particle Collisions Research, Advanced Data Storage Technologies, Distributed and Parallel Computing Systems
Most-Cited Works
- → Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors(2020)83 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
- A roadmap for HEP software and computing R&D for the 2020s(2019)
- → Novel deep learning methods for track reconstruction(2018)44 cited
- → The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking(2017)43 cited
- → MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems(2021)34 cited
- → The Tracking Machine Learning Challenge: Throughput Phase(2023)25 cited
- → Hierarchical Roofline Performance Analysis for Deep Learning Applications(2021)24 cited
- → The HEP.TrkX Project: Deep Learning for Particle Tracking(2018)23 cited