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Hyperparameter optimization, quantum-assisted model performance
  prediction, and benchmarking of AI-based High Energy Physics workloads using
  HPC

Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC

27 March 2023
Eric Wulff
M. Girone
D. Southwick
Juan Pablo García Amboage
Eduard Cuba
ArXivPDFHTML

Papers citing "Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC"

3 / 3 papers shown
Title
Model Performance Prediction for Hyperparameter Optimization of Deep
  Learning Models Using High Performance Computing and Quantum Annealing
Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing
Juan Pablo García Amboage
Eric Wulff
M. Girone
Tomás F. Pena
21
2
0
29 Nov 2023
Machine Learning for Particle Flow Reconstruction at CMS
Machine Learning for Particle Flow Reconstruction at CMS
J. Pata
Javier Mauricio Duarte
Farouk Mokhtar
Eric Wulff
J. Yoo
J. Vlimant
M. Pierini
M. Girone
14
24
0
01 Mar 2022
MLPF: Efficient machine-learned particle-flow reconstruction using graph
  neural networks
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
103
76
0
21 Jan 2021
1