ParticleNet: Jet Tagging via Particle Clouds

22 February 2019

Papers citing "ParticleNet: Jet Tagging via Particle Clouds"

26 / 26 papers shown

Title
$Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network$ Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network Jai Bardhan Tanumoy Mandal Subhadip Mitra Cyrin Neeraj Mihir Rawat 28 0 0 12 May 2025
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 58 4 0 04 Apr 2025
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 39 9 0 11 Jan 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 26 24 0 14 Dec 2022
Do graph neural networks learn traditional jet substructure? Farouk Mokhtar Raghav Kansal Javier Mauricio Duarte GNN 36 11 0 17 Nov 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 15 17 0 11 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 41 24 0 01 Mar 2022
Particle Transformer for Jet Tagging H. Qu Congqiao Li Sitian Qian ViT MedIm 24 97 0 08 Feb 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 49 113 0 07 Dec 2021
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 38 35 0 03 Dec 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance S. Tsan Raghav Kansal Anthony Aportela Daniel Madrigal Diaz Javier Mauricio Duarte S. Krishna Farouk Mokhtar J. Vlimant M. Pierini 24 19 0 24 Nov 2021
A FAIR and AI-ready Higgs boson decay dataset Yifan Chen Eliu A. Huerta Javier Mauricio Duarte Philip C. Harris Daniel S. Katz ... Raghav Kansal Sang Eon Park Volodymyr V. Kindratenko Zhizhen Zhao R. Rusack 32 25 0 04 Aug 2021
Particle Convolution for High Energy Physics C. Shimmin 19 15 0 05 Jul 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 27 75 0 22 Jun 2021
Point Cloud Transformers applied to Collider Physics Vinicius Mikuni F. Canelli ViT 24 55 0 09 Feb 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 31 178 0 02 Feb 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks J. Pata Javier Mauricio Duarte J. Vlimant M. Pierini M. Spiropulu 115 76 0 21 Jan 2021
Image-Based Jet Analysis Michael Kagan 25 7 0 17 Dec 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics Y. Iiyama G. Cerminara Abhijay Gupta J. Kieseler Vladimir Loncar ... Miaoyuan Liu K. Pedro N. Tran E. Kreinar Zhenbin Wu 13 66 0 08 Aug 2020
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 20 32 0 20 Jul 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 23 13 0 11 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics A. Bogatskiy Brandon M. Anderson Jan T. Offermann M. Roussi David W. Miller Risi Kondor AI4CE 29 136 0 08 Jun 2020
Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra A. Chakraborty Sung Hak Lim M. Nojiri 42 43 0 03 Apr 2019
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data Michael Andrews J. Alison Sitong An P. Bryant Bjorn Burkle S. Gleyzer M. Narain M. Paulini Barnabás Póczós Emanuele Usai 16 44 0 21 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 35 135 0 21 Feb 2019
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,020 0 26 Mar 2018