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MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks

21 January 2021

J. Pata

Javier Mauricio Duarte

Papers citing "MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks"

20 / 20 papers shown

Title
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction N. Kakati Etienne Dreyer Eilam Gross AI4CE 87 1 0 24 Sep 2024
Graph Structure from Point Clouds: Geometric Attention is All You Need D. Murnane GNN 3DPC 62 4 0 31 Jul 2023
Low Latency Edge Classification GNN for Particle Trajectory Tracking on FPGAs Shih-Yu Huang Yun-Chen Yang Yu-Ru Su Bo-Cheng Lai Javier Mauricio Duarte Scott Hauck Shih-Chieh Hsu Jin-Xuan Hu Mark S. Neubauer GNN 77 1 0 20 Jun 2023
Progress towards an improved particle flow algorithm at CMS with machine learning Farouk Mokhtar J. Pata Javier Mauricio Duarte Eric Wulff M. Pierini J. Vlimant AI4CE 59 7 0 30 Mar 2023
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 79 5 0 19 Jul 2022
Explainable AI for High Energy Physics Mark S. Neubauer Avik Roy 78 10 0 14 Jun 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics Rikab Gambhir Benjamin Nachman Jesse Thaler AI4CE 100 8 0 10 May 2022
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks S. Qasim N. Chernyavskaya J. Kieseler K. Long O. Viazlo M. Pierini R. Nawaz 157 24 0 04 Apr 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 121 31 0 23 Mar 2022
Hyperparameter optimization of data-driven AI models on HPC systems Eric Wulff M. Girone J. Pata 47 8 0 02 Mar 2022
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 99 24 0 01 Mar 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs Abdelrahman Elabd Vesal Razavimaleki Shih-Yu Huang Javier Mauricio Duarte M. Atkinson ... Bo-Cheng Lai Mark S. Neubauer I. Ojalvo S. Thais Matthew Trahms GNN 117 35 0 03 Dec 2021
Explaining machine-learned particle-flow reconstruction Farouk Mokhtar Raghav Kansal Daniel Madrigal Diaz Javier Mauricio Duarte J. Pata M. Pierini J. Vlimant AI4CE 73 17 0 24 Nov 2021
Applications and Techniques for Fast Machine Learning in Science A. Deiana Nhan Tran Joshua C. Agar Michaela Blott G. D. Guglielmo ... Ashish Sharma S. Summers Pietro Vischia J. Vlimant Olivia Weng 92 72 0 25 Oct 2021
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction Cenk Tüysüz C. Rieger Kristiane Novotny B. Demirköz D. Dobos K. Potamianos S. Vallecorsa J. Vlimant Richard Forster 146 55 0 26 Sep 2021
Shared Data and Algorithms for Deep Learning in Fundamental Physics L. Benato E. Buhmann M. Erdmann P. Fackeldey J. Glombitza ... T. Kuhr J. Steinheimer H. Stocker Tilman Plehn K. Zhou PINN OOD 85 15 0 01 Jul 2021
The Tracking Machine Learning challenge : Throughput phase S. Amrouche L. Basara P. Calafiura D. Emeliyanov Victor Estrade ... E. Moyse D. Rousseau A. Salzburger Andrey Ustyuzhanin J. Vlimant 197 33 0 03 May 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking X. Ju D. Murnane P. Calafiura Nicholas Choma S. Conlon ... Aditi Chauhan A. Schuy Shih-Chieh Hsu A. Ballow A. Lazar 43 65 0 11 Mar 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 89 182 0 02 Feb 2021
GPU coprocessors as a service for deep learning inference in high energy physics J. Krupa Kelvin Lin M. Acosta Flechas Jack T. Dinsmore Javier Mauricio Duarte ... K. Pedro D. Rankin Natchanon Suaysom Matthew Trahms N. Tran BDL 3DV 89 33 0 20 Jul 2020