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03/03/2023
Hierarchical Graph Neural Networks for Particle Track Reconstruction
We introduce a novel variant of GNN for particle tracking called Hierarc...
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08/12/2022
Hyperparameter Optimization of Generative Adversarial Network Models for High-Energy Physics Simulations
The Generative Adversarial Network (GAN) is a powerful and flexible tool...
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03/11/2021
Physics and Computing Performance of the Exa.TrkX TrackML Pipeline
The Exa.TrkX project has applied geometric learning concepts such as met...
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03/09/2021
BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators
The parameters in Monte Carlo (MC) event generators are tuned on experim...
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12/08/2020
Beyond 4D Tracking: Using Cluster Shapes for Track Seeding
Tracking is one of the most time consuming aspects of event reconstructi...
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06/30/2020
