-
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. ∙
0
∙
share
read it
-
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. ∙
0
∙
share
read it
-
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. ∙
0
∙
share
read it
-
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. ∙
0
∙
share
read it
