Jet-Images -- Deep Learning Edition

16 November 2015

Papers citing "Jet-Images -- Deep Learning Edition"

28 / 28 papers shown

Title
Particle Multi-Axis Transformer for Jet Tagging Muhammad Usman M. Shahid Maheen Ejaz Ummay Hani Nayab Fatima Abdul Rehman Khan Asifullah Khan Nasir Majid Mirza 35 3 0 09 Jun 2024
Fast Neural Network Inference on FPGAs for Triggering on Long-Lived Particles at Colliders A. Coccaro Francesco Armando Di Bello S. Giagu L. Rambelli Nicola Stocchetti 35 5 0 11 Jul 2023
Decorrelation with conditional normalizing flows Samuel Klein T. Golling 40 4 0 04 Nov 2022
Exploring the Universality of Hadronic Jet Classification K. Cheung Yi Chung Shih-Chieh Hsu Benjamin Nachman 17 2 0 08 Apr 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 15 17 0 11 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
A Cautionary Tale of Decorrelating Theory Uncertainties A. Ghosh Benjamin Nachman 30 17 0 16 Sep 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
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 31 178 0 02 Feb 2021
Image-Based Jet Analysis Michael Kagan 25 7 0 17 Dec 2020
Deep-Learning-Based Kinematic Reconstruction for DUNE Junze Liu J. Ott Julian Collado B. Jargowsky Wenjie Wu J. Bian Pierre Baldi 13 12 0 11 Dec 2020
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation G. Agarwal L. Hay I. Iashvili Benjamin Mannix C. McLean Margaret E. Morris S. Rappoccio U. Schubert 46 18 0 26 Nov 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 13 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
Regularizing Black-box Models for Improved Interpretability Gregory Plumb Maruan Al-Shedivat Ángel Alexander Cabrera Adam Perer Eric Xing Ameet Talwalkar AAML 24 79 0 18 Feb 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 31 251 0 11 Oct 2018
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC Michael Andrews M. Paulini S. Gleyzer Barnabás Póczós DiffM 32 17 0 31 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 29 31 0 20 Jul 2018
Opening the black box of neural nets: case studies in stop/top discrimination Thomas Roxlo M. Reece 18 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 88 388 0 16 Apr 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 33 682 0 06 Dec 2017
Recursive Neural Networks in Quark/Gluon Tagging Taoli Cheng 23 98 0 07 Nov 2017
Pileup Mitigation with Machine Learning (PUMML) Patrick T. Komiske E. Metodiev Benjamin Nachman M. Schwartz 18 99 0 26 Jul 2017
QCD-Aware Recursive Neural Networks for Jet Physics Gilles Louppe Kyunghyun Cho C. Becot Kyle Cranmer BDL 24 189 0 02 Feb 2017
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012