2 citations · 3 across the 2 of their papers we have counts for
2 papers
hep-ph2024★ 2 cited
MACK: Mismodeling Addressed with Contrastive Knowledge
Liam Rankin Sheldon, Dylan Sheldon Rankin, Philip Harris
The use of machine learning methods in high energy physics typically relies on large volumes of precise simulation for training. As machine learning models become more complex they…
physics.comp-ph2024★ 1 cited
Graph Neural Network-based Tracking as a Service
Haoran Zhao, Andrew Naylor, Shih-Chieh Hsu +8
Recent studies have shown promising results for track finding in dense environments using Graph Neural Network (GNN)-based algorithms. However, GNN-based track finding is computati…