ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.02092
  4. Cited By
Interpretable Deep Learning for Two-Prong Jet Classification with Jet
  Spectra
v1v2 (latest)

Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra

3 April 2019
A. Chakraborty
Sung Hak Lim
M. Nojiri
ArXiv (abs)PDFHTML

Papers citing "Interpretable Deep Learning for Two-Prong Jet Classification with Jet Spectra"

6 / 6 papers shown
Title
Feature Selection with Distance Correlation
Feature Selection with Distance Correlation
Ranit Das
Gregor Kasieczka
David Shih
198
16
0
30 Nov 2022
A Detailed Study of Interpretability of Deep Neural Network based Top
  Taggers
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers
Ayush Khot
Mark S. Neubauer
Avik Roy
AAML
401
22
0
09 Oct 2022
Leveraging universality of jet taggers through transfer learning
Leveraging universality of jet taggers through transfer learning
F. Dreyer
Radoslaw Grabarczyk
P. Monni
177
19
0
11 Mar 2022
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
194
212
0
02 Feb 2021
Jet tagging in the Lund plane with graph networks
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
Explainable AI for ML jet taggers using expert variables and layerwise
  relevance propagation
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagationJournal of High Energy Physics (JHEP), 2020
G. Agarwal
L. Hay
I. Iashvili
Benjamin Mannix
C. McLean
Margaret E. Morris
S. Rappoccio
U. Schubert
242
23
0
26 Nov 2020
1