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FAIR AI Models in High Energy Physics

FAIR AI Models in High Energy Physics

9 December 2022
Javier Mauricio Duarte
Haoyang Li
Avik Roy
Ruike Zhu
Eliu A. Huerta
Daniel Madrigal Diaz
Philip C. Harris
Raghav Kansal
Daniel S. Katz
Ishaan H. Kavoori
Volodymyr V. Kindratenko
Farouk Mokhtar
Mark S. Neubauer
Sang Eon Park
M. Quinnan
R. Rusack
Zhizhen Zhao
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Papers citing "FAIR AI Models in High Energy Physics"

4 / 4 papers shown
Title
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
589
0
31 Dec 2020
funcX: A Federated Function Serving Fabric for Science
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
B. Blaiszik
Ian T. Foster
Kyle Chard
33
186
0
07 May 2020
Fast inference of deep neural networks in FPGAs for particle physics
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
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,394
0
01 Dec 2016
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