25 citations · 61 across the 6 of their papers we have counts for
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physics.data-an2023★ 9 cited
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Joosep Pata, Eric Wulff, Farouk Mokhtar +4
Efficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity Large Hadron Collider and the Future Ci…
physics.data-an2023
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Eric Wulff, Maria Girone, David Southwick +2
Training and Hyperparameter Optimization (HPO) of deep learning-based AI models are often compute resource intensive and calls for the use of large-scale distributed resources as w…