QCD-Aware Recursive Neural Networks for Jet Physics

2 February 2017

Papers citing "QCD-Aware Recursive Neural Networks for Jet Physics"

11 / 11 papers shown

Title
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics Hanming Yang A. Moretti Sebastian Macaluso Philippe Chlenski C. A. Naesseth I. Pe’er BDL 34 1 0 03 Jan 2025
Quantum Vision Transformers for Quark-Gluon Classification Marçal Comajoan Cara Gopal Ramesh Dahale Zhongtian Dong Roy T. Forestano S. Gleyzer ... Kyoungchul Kong Tom Magorsch Konstantin T. Matchev Katia Matcheva Eyup B. Unlu 45 9 0 16 May 2024
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 33 16 0 09 Oct 2022
Leveraging universality of jet taggers through transfer learning F. Dreyer Radoslaw Grabarczyk P. Monni 13 17 0 11 Mar 2022
Particle Transformer for Jet Tagging H. Qu Congqiao Li Sitian Qian ViT MedIm 22 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 36 113 0 07 Dec 2021
Particle Convolution for High Energy Physics C. Shimmin 17 15 0 05 Jul 2021
Image-Based Jet Analysis Michael Kagan 17 7 0 17 Dec 2020
Learning representations of irregular particle-detector geometry with distance-weighted graph networks S. Qasim J. Kieseler Y. Iiyama M. Pierini 27 135 0 21 Feb 2019
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 21 251 0 11 Oct 2018
On-the-fly Operation Batching in Dynamic Computation Graphs Graham Neubig Yoav Goldberg Chris Dyer 28 60 0 22 May 2017