| Graph neural networks for particle reconstruction in high energy physics detectors X Ju, S Farrell, P Calafiura, D Murnane, L Gray, T Klijnsma, K Pedro, ... arXiv preprint arXiv:2003.11603, 2020 | 121 | 2020 |
| ColliderBit: a GAMBIT module for the calculation of high-energy collider observables and likelihoods GAMBIT Scanner Workgroup:, C Balázs, A Buckley, LA Dal, B Farmer, ... The European Physical Journal C 77, 1-36, 2017 | 101 | 2017 |
| Performance of a geometric deep learning pipeline for HL-LHC particle tracking X Ju, D Murnane, P Calafiura, N Choma, S Conlon, S Farrell, Y Xu, ... The European Physical Journal C 81, 1-14, 2021 | 65 | 2021 |
| Graph neural networks in particle physics: Implementations, innovations, and challenges S Thais, P Calafiura, G Chachamis, G DeZoort, J Duarte, S Ganguly, ... arXiv preprint arXiv:2203.12852, 2022 | 32 | 2022 |
| Symmetry group equivariant architectures for physics A Bogatskiy, S Ganguly, T Kipf, R Kondor, DW Miller, D Murnane, ... arXiv preprint arXiv:2203.06153, 2022 | 27 | 2022 |
| Track seeding and labelling with embedded-space graph neural networks N Choma, D Murnane, X Ju, P Calafiura, S Conlon, S Farrell, G Cerati, ... arXiv preprint arXiv:2007.00149, 2020 | 20 | 2020 |
| Accelerating the inference of the Exa. TrkX pipeline A Lazar, X Ju, D Murnane, P Calafiura, S Farrell, Y Xu, M Spiropulu, ... Journal of Physics: Conference Series 2438 (1), 012008, 2023 | 13 | 2023 |
| Graph neural network for object reconstruction in liquid argon time projection chambers J Hewes, A Aurisano, G Cerati, J Kowalkowski, C Lee, W Liao, A Day, ... EPJ Web of Conferences 251, 03054, 2021 | 10 | 2021 |
| Constraining fine tuning in Composite Higgs Models with partially composite leptons J Barnard, D Murnane, M White, AG Williams Journal of High Energy Physics 2017 (9), 1-31, 2017 | 10 | 2017 |
| Hierarchical Graph Neural Networks for Particle Track Reconstruction R Liu, P Calafiura, S Farrell, X Ju, DT Murnane, TM Pham arXiv preprint arXiv:2303.01640, 2023 | 7 | 2023 |
| Exploring fine-tuning of the next-to-minimal composite Higgs model D Murnane, M White, AG Williams Journal of High Energy Physics 2019 (4), 1-27, 2019 | 7 | 2019 |
| Equivariant graph neural networks for charged particle tracking D Murnane, S Thais, A Thete arXiv preprint arXiv:2304.05293, 2023 | 6 | 2023 |
| ATLAS ITk Track Reconstruction with a GNN-based pipeline S Caillou, P Calafiura, C Rougier, J Stark, DT Murnane, A Vallier, X Ju, ... ATL-COM-ITK-2022-057, 2022 | 6 | 2022 |
| Heterogeneous graph neural network for identifying hadronically decayed tau leptons at the high luminosity LHC A Huang, X Ju, J Lyons, D Murnane, M Pettee, L Reed Journal of Instrumentation 18 (07), P07001, 2023 | 5 | 2023 |
| Semi-equivariant GNN architectures for jet tagging D Murnane, S Thais, J Wong Journal of Physics: Conference Series 2438 (1), 012121, 2023 | 5 | 2023 |
| Graph neural networks for particle reconstruction in high energy physics detectors (2020) X Ju, S Farrell, P Calafiura, D Murnane, LG Prabhat, T Klijnsma, K Pedro, ... arXiv preprint arXiv:2003.11603, 0 | 5 | |
| Convergent Bayesian global fits of 4D composite Higgs models E Carragher, W Handley, D Murnane, P Stangl, W Su, M White, ... Journal of High Energy Physics 2021 (5), 1-77, 2021 | 4 | 2021 |
| The landscape of composite Higgs models DT Murnane | 3 | 2019 |
| Physics Performance of the ATLAS GNN4ITk Track Reconstruction Chain S Caillou, P Calafiura, X Ju, D Murnane, T Pham, C Rougier, J Stark, ... EPJ Web of Conferences 295, 03030, 2024 | 2 | 2024 |
| Reconstruction of Large Radius Tracks with the Exa. TrkX pipeline CY Wang, X Ju, SC Hsu, D Murnane, P Calafiura, S Farrell, M Spiropulu, ... Journal of Physics: Conference Series 2438 (1), 012117, 2023 | 2 | 2023 |
Paolo CalafiuraSenior Scientist, Lawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
