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09/13/2023
Scalable neural network models and terascale datasets for particle-flow reconstruction
We study scalable machine learning models for full event reconstruction ...
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03/27/2023
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Training and Hyperparameter Optimization (HPO) of deep learning-based AI...
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03/02/2022
Hyperparameter optimization of data-driven AI models on HPC systems
In the European Center of Excellence in Exascale computing "Research on ...
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03/01/2022
Machine Learning for Particle Flow Reconstruction at CMS
We provide details on the implementation of a machine-learning based par...
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01/22/2019
Using Big Data Technologies for HEP Analysis
The HEP community is approaching an era were the excellent performances ...
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07/08/2018
Machine Learning in High Energy Physics Community White Paper
Machine learning is an important research area in particle physics, begi...
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10/31/2017