v1v2v3 (latest)

Deep learning in color: towards automated quark/gluon jet discrimination

5 December 2016

Papers citing "Deep learning in color: towards automated quark/gluon jet discrimination"

50 / 53 papers shown

Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 151 0 0 04 Apr 2025
Moments of Clarity: Streamlining Latent Spaces in Machine Learning using Moment Pooling Rikab Gambhir Athis Osathapan Jesse Thaler 79 3 0 13 Mar 2024
Jet Discrimination with Quantum Complete Graph Neural Network Yi-An Chen Kai-Feng Chen GNN 64 1 0 08 Mar 2024
Scaling Laws in Jet Classification Joshua D. Batson Yonatan Kahn 61 2 0 04 Dec 2023
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions Yash Semlani Mihir Relan Krithik Ramesh GNN 88 3 0 12 Sep 2023
Explainable Equivariant Neural Networks for Particle Physics: PELICAN A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann Xiaoyang Liu 93 26 0 31 Jul 2023
Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots Chaorong Shen Wenkang Zhan Kaiyao Xin Manyang Li Zhenyu Sun ... Bop Xu Zhongming Wei Chunlai Xue Chao Zhao Zhan-guo Wang AI4CE 51 17 0 22 Jun 2023
Exploring the Universality of Hadronic Jet Classification K. Cheung Yi Chung Shih-Chieh Hsu Benjamin Nachman 129 2 0 08 Apr 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 58 18 0 11 Mar 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 82 27 0 11 Mar 2022
Machine Learning in Nuclear Physics A. Boehnlein M. Diefenthaler C. Fanelli M. Hjorth-Jensen T. Horn ... M. Schram A. Scheinker Michael S. Smith Xin-Nian Wang Veronique Ziegler AI4CE 113 42 0 04 Dec 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 89 15 0 01 Jul 2021
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider A. Stakia T. Dorigo G. Banelli D. Bortoletto A. Casa ... G. Strong C. Tosciri J. Varela Pietro Vischia A. Weiler 31 3 0 16 May 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 82 37 0 16 Feb 2021
Point Cloud Transformers applied to Collider Physics Vinicius Mikuni F. Canelli ViT 87 56 0 09 Feb 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 91 182 0 02 Feb 2021
Image-Based Jet Analysis Michael Kagan 73 7 0 17 Dec 2020
Jet tagging in the Lund plane with graph networks F. Dreyer H. Qu 108 75 0 15 Dec 2020
Deep-Learning-Based Kinematic Reconstruction for DUNE Junze Liu J. Ott Julian Collado B. Jargowsky Wenjie Wu J. Bian Pierre Baldi 44 12 0 11 Dec 2020
Unifying supervised learning and VAEs -- coverage, systematics and goodness-of-fit in normalizing-flow based neural network models for astro-particle reconstructions T. Glüsenkamp 39 1 0 13 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 89 33 0 20 Jul 2020
Self-regularizing restricted Boltzmann machines Orestis Loukas 42 2 0 09 Dec 2019
HPC AI500: A Benchmark Suite for HPC AI Systems Zihan Jiang Wanling Gao Lei Wang Xingwang Xiong Yuchen Zhang ... Yunquan Zhang Shengzhong Feng KenLi Li Weijia Xu Jianfeng Zhan ELM 68 40 0 27 Jul 2019
Neural Networks for Full Phase-space Reweighting and Parameter Tuning Anders Andreassen Benjamin Nachman 85 88 0 18 Jul 2019
Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra A. Chakraborty Sung Hak Lim M. Nojiri 74 44 0 03 Apr 2019
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production Michela Paganini 29 1 0 12 Mar 2019
ParticleNet: Jet Tagging via Particle Clouds H. Qu L. Gouskos 3DPC MU 104 231 0 22 Feb 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 69 45 0 21 Feb 2019
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 105 137 0 21 Feb 2019
Multi-Scale Distributed Representation for Deep Learning and its Application to b-Jet Tagging J. Lee Inkyu Park Sangnam Park 12 0 0 29 Nov 2018
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 102 258 0 11 Oct 2018
A simulation study to distinguish prompt photon from $π^0$ and beam halo in a granular calorimeter using deep networks Shamik Ghosh A. Harilal A. R. Sahasransu Ritesh K. Singh S. Bhattacharya 22 4 0 12 Aug 2018
Spectral Analysis of Jet Substructure with Neural Networks: Boosted Higgs Case Sung Hak Lim M. Nojiri 74 25 0 09 Jul 2018
Topology classification with deep learning to improve real-time event selection at the LHC Thong Q. Nguyen Daniel Weitekamp D. Anderson R. Castello O. Cerri M. Pierini M. Spiropulu J. Vlimant 110 34 0 29 Jun 2018
Infrared Safety of a Neural-Net Top Tagging Algorithm Suyong Choi Seung J. Lee M. Perelstein 75 39 0 04 Jun 2018
Hierarchical clustering with deep Q-learning Richard Forster A. Fulop 35 0 0 28 May 2018
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics Anders Andreassen Ilya Feige Christopher Frye M. Schwartz MU 100 137 0 25 Apr 2018
Opening the black box of neural nets: case studies in stop/top discrimination Thomas Roxlo M. Reece 71 22 0 24 Apr 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 164 396 0 16 Apr 2018
Jet Charge and Machine Learning Katherine Fraser M. Schwartz 75 72 0 21 Mar 2018
On the Topic of Jets: Disentangling Quarks and Gluons at Colliders E. Metodiev Jesse Thaler 97 71 0 31 Jan 2018
Learning to Classify from Impure Samples with High-Dimensional Data Patrick T. Komiske E. Metodiev Benjamin Nachman M. Schwartz 80 76 0 30 Jan 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 228 702 0 06 Dec 2017
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC W. Bhimji S. Farrell Thorsten Kurth Michela Paganini P. Prabhat Evan Racah AI4CE 77 48 0 09 Nov 2017
Recursive Neural Networks in Quark/Gluon Tagging Taoli Cheng 85 98 0 07 Nov 2017
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data Thorsten Kurth Jian Zhang N. Satish Ioannis Mitliagkas Evan Racah ... J. Deslippe Mikhail Shiryaev Srinivas Sridharan P. Prabhat Pradeep Dubey 79 83 0 17 Aug 2017
Classification without labels: Learning from mixed samples in high energy physics E. Metodiev Benjamin Nachman Jesse Thaler CML 101 206 0 09 Aug 2017
Pileup Mitigation with Machine Learning (PUMML) Patrick T. Komiske E. Metodiev Benjamin Nachman M. Schwartz 70 100 0 26 Jul 2017
(Machine) Learning to Do More with Less T. Cohen M. Freytsis B. Ostdiek 73 81 0 28 Jun 2017
Jet Constituents for Deep Neural Network Based Top Quark Tagging Jannicke Pearkes W. Fedorko A. Lister C. Gay BDL 88 89 0 07 Apr 2017