Machine Learning for Particle Flow Reconstruction at CMS

1 March 2022

Papers citing "Machine Learning for Particle Flow Reconstruction at CMS"

6 / 6 papers shown

Title
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation Ryan Liu A. Gandrakota J. Ngadiuba M. Spiropulu J. Vlimant 11 2 0 23 Nov 2023
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC Eric Wulff M. Girone D. Southwick Juan Pablo García Amboage Eduard Cuba 16 1 0 27 Mar 2023
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
Towards a Computer Vision Particle Flow F. Bello S. Ganguly Eilam Gross Marumi Kado M. Pitt Lorenzo Santi Jonathan Shlomi 75 49 0 19 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 258 1,398 0 01 Dec 2016