E-LIB Suche - Ergebnisse für: Murnane, Daniel

1

Physics Performance of the ATLAS GNN4ITk Track Reconstructi..:

Caillou, Sylvain ; Calafiura, Paolo ; Ju, Xiangyang...
EPJ Web of Conferences. 295 (2024) - p. 03030 , 2024

Link: https://doi.org/10.1051/..

2

Influencer Loss: End-to-end Geometric Representation Learni..:

Murnane, Daniel ; De Vita, R. ; Espinal, X...
EPJ Web of Conferences. 295 (2024) - p. 09016 , 2024

Link: https://doi.org/10.1051/..

3

Heterogeneous Graph Neural Network for identifying hadronic..:

Huang, Andris ; Ju, Xiangyang ; Lyons, Jacob...
Journal of Instrumentation. 18 (2023) 7 - p. P07001 , 2023

Link: https://doi.org/10.1088/..

4

Semi-Equivariant GNN Architectures for Jet Tagging:

Murnane, Daniel ; Thais, Savannah ; Wong, Jason
Journal of Physics: Conference Series. 2438 (2023) 1 - p. 012121 , 2023

Link: https://doi.org/10.1088/..

5

Accelerating the Inference of the Exa.TrkX Pipeline:

Lazar, Alina ; Ju, Xiangyang ; Murnane, Daniel...
Journal of Physics: Conference Series. 2438 (2023) 1 - p. 012008 , 2023

Link: https://doi.org/10.1088/..

6

Reconstruction of Large Radius Tracks with the Exa.TrkX pip..:

Wang, Chun-Yi ; Ju, Xiangyang ; Hsu, Shih-Chieh...
Journal of Physics: Conference Series. 2438 (2023) 1 - p. 012117 , 2023

Link: https://doi.org/10.1088/..

7

Convergent Bayesian global fits of 4D composite Higgs model:

Carragher, Ethan ; Handley, Will ; Murnane, Daniel...
Journal of High Energy Physics. 2021 (2021) 5 - p. , 2021

Link: https://doi.org/10.1007/..

8

Graph Neural Network for Object Reconstruction in Liquid Ar..:

Hewes, Jeremy ; Aurisano, Adam ; Cerati, Giuseppe...
EPJ Web of Conferences. 251 (2021) - p. 03054 , 2021

Link: https://doi.org/10.1051/..

9

Performance of a geometric deep learning pipeline for HL-LH..:

Ju, Xiangyang ; Murnane, Daniel ; Calafiura, Paolo...
The European Physical Journal C. 81 (2021) 10 - p. , 2021

Link: https://doi.org/10.1140/..

10

Minimal 4D Composite Higgs Models Under Current LHC Constra..:

Carragher, Ethan ; Murnane, Daniel ; Stangl, Peter...
EPJ Web of Conferences. 245 (2020) - p. 06006 , 2020

Link: https://doi.org/10.1051/..

11

Exploring fine-tuning of the Next-to-Minimal Composite Higg..:

Murnane, Daniel ; White, Martin ; Williams, Anthony G.
Journal of High Energy Physics. 2019 (2019) 4 - p. , 2019

Link: https://doi.org/10.1007/..

12

ColliderBit: a GAMBIT module for the calculation of high-en..:

The GAMBIT Scanner Workgroup: ; Balázs, Csaba ; Buckley, Andy...
The European Physical Journal C. 77 (2017) 11 - p. , 2017

Link: https://doi.org/10.1140/..

13

Graph Structure from Point Clouds: Geometric Attention is A..:

Murnane, Daniel
http://arxiv.org/abs/2307.16662. , 2023

Link: http://arxiv.org/abs/230..

14

Heterogeneous Graph Neural Network for identifying hadronic..:

Huang, Andris ; Ju, Xiangyang ; Lyons, Jacob...
qt3b9227w8. , 2023

Link: https://escholarship.org..

15

Equivariance Is Not All You Need: Characterizing the Utilit..:

Thais, Savannah ; Murnane, Daniel
http://arxiv.org/abs/2311.03094. , 2023

Link: http://arxiv.org/abs/231..