v1v2v3 (latest)

ParticleNet: Jet Tagging via Particle Clouds

22 February 2019

Papers citing "ParticleNet: Jet Tagging via Particle Clouds"

50 / 54 papers shown

Title
SURFing to the Fundamental Limit of Jet Tagging Ian Pang D. Faroughy David Shih Ranit Das Gregor Kasieczka 70 1 0 19 Nov 2025
An Evaluation of Representation Learning Methods in Particle Physics Foundation Models Michael Chen Raghav Kansal A. Gandrakota Zichun Hao J. Ngadiuba M. Spiropulu DiffM 125 0 0 16 Nov 2025
QINNs: Quantum-Informed Neural Networks Aritra Bal Markus Klute Benedikt Maier Melik Oughton Eric Pezone Michael Spannowsky AI4CE 55 0 0 20 Oct 2025
Stable and Interpretable Jet Physics with IRC-Safe Equivariant Feature Extraction P. Konar Vishal S. Ngairangbam M. Spannowsky Deepanshu Srivastava OOD 64 0 0 26 Sep 2025
Jet Image Tagging Using Deep Learning: An Ensemble ModelJournal of Instrumentation (JINST), 2025 Juvenal Bassa V. Manian Sudhir Malik Arghya Chattopadhyay MU 120 0 0 09 Aug 2025
Learning Before Filtering: Real-Time Hardware Learning at the Detector LevelJournal of Instrumentation (JINST), 2025 Boštjan Maček 143 0 0 13 Jun 2025
$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 189 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 311 40 0 04 Apr 2025
Learnable cut flow for high energy physics Jing Li Hao Sun OOD 357 0 0 28 Mar 2025
Scaling Particle Collision Data Analysis Hengkui Wu Panpan Chi Yongfeng Zhu Liujiang Liu Shuyang Hu ... Yingsi Xin Bruce Liu Dahao Liang Xiaojun Jia Manqi Ruan 311 0 0 28 Nov 2024
A Lorentz-Equivariant Transformer for All of the LHC Johann Brehmer Victor Bresó P. D. Haan Tilman Plehn Huilin Qu Jonas Spinner Jesse Thaler BDL 306 44 0 01 Nov 2024
Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods Daniel Maître Vishal S. Ngairangbam M. Spannowsky 143 10 0 24 Oct 2024
Novel machine learning applications at the LHC Javier M. Duarte AI4CE 105 6 0 30 Sep 2024
A multicategory jet image classification framework using deep neural network Jairo Orozco-Sandoval V. Manian Sudhir Malik 165 1 0 03 Jul 2024
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 193 3 0 13 Mar 2024
Ultrafast jet classification on FPGAs for the HL-LHC Patrick Odagiu Zhiqiang Que Javier Mauricio Duarte J. Haller Gregor Kasieczka ... Arpita Seksaria S. Summers A. Sznajder A. Tapper Thea Klæboe Årrestad 185 13 0 02 Feb 2024
SAIBench: A Structural Interpretation of AI for Science Through Benchmarks Yatao Li Jianfeng Zhan 122 1 0 29 Nov 2023
JetLOV: Enhancing Jet Tree Tagging through Neural Network Learning of Optimal LundNet Variables Mauricio A. Diaz Giorgio Cerro Jacan Chaplais Srinandan Dasmahapatra Stefano Moretti MU 77 0 0 24 Nov 2023
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph ConvolutionsJournal of High Energy Physics (JHEP), 2023 Yash Semlani Mihir Relan Krithik Ramesh GNN 261 7 0 12 Sep 2023
Topological Reconstruction of Particle Physics Processes using Graph Neural Networks Lukas Ehrke C. Pollard K. Zoch M. Guth J. A. Raine BDL AI4CE 221 12 0 24 Mar 2023
Versatile Energy-Based Probabilistic Models for High Energy PhysicsNeural Information Processing Systems (NeurIPS), 2023 Taoli Cheng Aaron Courville DiffM 348 1 0 01 Feb 2023
Anomalies, Representations, and Self-SupervisionSciPost Physics Core (SPC), 2023 B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 134 14 0 11 Jan 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 238 27 0 14 Dec 2022
FAIR AI Models in High Energy Physics Javier Mauricio Duarte Haoyang Li Avik Roy Ruike Zhu Eliu A. Huerta ... Mark S. Neubauer Sang Eon Park M. Quinnan R. Rusack Zhizhen Zhao 295 13 0 09 Dec 2022
Evaluating generative models in high energy physics Raghav Kansal Anni Li Javier Mauricio Duarte N. Chernyavskaya M. Pierini B. Orzari T. Tomei MedIm 206 45 0 18 Nov 2022
Do graph neural networks learn traditional jet substructure? Farouk Mokhtar Raghav Kansal Javier Mauricio Duarte GNN 148 11 0 17 Nov 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 177 19 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 274 28 0 01 Mar 2022
Particle Transformer for Jet TaggingInternational Conference on Machine Learning (ICML), 2022 H. Qu Congqiao Li Sitian Qian ViT MedIm 190 151 0 08 Feb 2022
Invariant Representation Driven Neural Classifier for Anti-QCD Jet TaggingJournal of High Energy Physics (JHEP), 2022 Taoli Cheng Aaron Courville 283 6 0 18 Jan 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 189 138 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 397 40 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 161 22 0 24 Nov 2021
Explaining machine-learned particle-flow reconstruction Farouk Mokhtar Raghav Kansal Daniel Madrigal Diaz Javier Mauricio Duarte J. Pata M. Pierini J. Vlimant AI4CE 164 18 0 24 Nov 2021
A FAIR and AI-ready Higgs boson decay datasetScientific Data (Sci Data), 2021 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 174 31 0 04 Aug 2021
Particle Convolution for High Energy Physics C. Shimmin 204 16 0 05 Jul 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 176 16 0 01 Jul 2021
Particle Cloud Generation with Message Passing Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2021 Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 207 84 0 22 Jun 2021
Point Cloud Transformers applied to Collider Physics Vinicius Mikuni F. Canelli ViT 176 66 0 09 Feb 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 194 212 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 466 82 0 21 Jan 2021
Image-Based Jet Analysis Michael Kagan 225 10 0 17 Dec 2020
Jet tagging in the Lund plane with graph networksJournal of High Energy Physics (JHEP), 2020 F. Dreyer H. Qu 315 84 0 15 Dec 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy PhysicsFrontiers in Big Data (Front. Big Data), 2020 Y. Iiyama G. Cerminara Abhijay Gupta J. Kieseler Vladimir Loncar ... Miaoyuan Liu K. Pedro N. Tran E. Kreinar Zhenbin Wu 188 77 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 321 35 0 20 Jul 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020 John Tencer Kevin Potter AI4CE 193 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 213 155 0 08 Jun 2020
Towards a Computer Vision Particle Flow F. Bello S. Ganguly Eilam Gross Marumi Kado M. Pitt Lorenzo Santi Jonathan Shlomi 377 50 0 19 Mar 2020
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data J. Kieseler 3DPC 181 57 0 10 Feb 2020
Interpretability Study on Deep Learning for Jet Physics at the Large Hadron Collider Taoli Cheng AI4CE PINN 92 4 0 05 Nov 2019