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Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
The Exa.TrkX project has applied geometric learning concepts such as met...
03/11/2021 ∙ by Xiangyang Ju, et al. ∙
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Coffea – Columnar Object Framework For Effective Analysis
The coffea framework provides a new approach to High-Energy Physics anal...
08/28/2020 ∙ by Nicholas Smith, et al. ∙
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Track Seeding and Labelling with Embedded-space Graph Neural Networks
To address the unprecedented scale of HL-LHC data, the Exa.TrkX project ...
06/30/2020 ∙ by Nicholas Choma, et al. ∙
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A Dynamic Reduction Network for Point Clouds
Classifying whole images is a classic problem in machine learning, and g...
03/18/2020 ∙ by Lindsey Gray, et al. ∙
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Machine Learning in High Energy Physics Community White Paper
Machine learning is an important research area in particle physics, begi...
07/08/2018 ∙ by Kim Albertsson, et al. ∙
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