A Detailed Study of Interpretability of Deep Neural Network based Top
Taggers

A Detailed Study of Interpretability of Deep Neural Network based Top Taggers

9 October 2022

Mark S. Neubauer

Papers citing "A Detailed Study of Interpretability of Deep Neural Network based Top Taggers"

9 / 9 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 75 0 0 30 Mar 2025
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 20 8 0 09 Dec 2022
Feature Selection with Distance Correlation Ranit Das Gregor Kasieczka David Shih 11 14 0 30 Nov 2022
$Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets$ Interpretability of an Interaction Network for identifying $H \rightarrow b\bar{b}$ jets Avik Roy Mark S. Neubauer 12 3 0 23 Nov 2022
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics A. Bogatskiy Timothy Hoffman David W. Miller Jan T. Offermann 16 30 0 01 Nov 2022
FAIR for AI: An interdisciplinary and international community building perspective Eliu A. Huerta B. Blaiszik L. C. Brinson Kristofer E Bouchard Daniel Madrigal Diaz ... F. Psomopoulos Avik Roy Oliver Rübel Zhizhen Zhao Ruike Zhu 20 41 0 30 Sep 2022
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 121 119 0 21 Jan 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020
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 75 385 0 16 Apr 2018