research
∙
09/13/2023
Scalable neural network models and terascale datasets for particle-flow reconstruction
We study scalable machine learning models for full event reconstruction ...
share
research
∙
03/30/2023
Progress towards an improved particle flow algorithm at CMS with machine learning
The particle-flow (PF) algorithm, which infers particles based on tracks...
research
∙
03/15/2022
Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning
The abundance of dark matter subhalos orbiting a host galaxy is a generi...
research
∙
03/02/2022
Hyperparameter optimization of data-driven AI models on HPC systems
In the European Center of Excellence in Exascale computing "Research on ...
research
∙
03/01/2022
Machine Learning for Particle Flow Reconstruction at CMS
We provide details on the implementation of a machine-learning based par...
research
∙
11/24/2021
Explaining machine-learned particle-flow reconstruction
The particle-flow (PF) algorithm is used in general-purpose particle det...
research
∙
01/21/2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
In general-purpose particle detectors, the particle flow algorithm may b...
research
∙
06/14/2019
