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Explainable Equivariant Neural Networks for Particle Physics: PELICAN

Explainable Equivariant Neural Networks for Particle Physics: PELICAN

31 July 2023
A. Bogatskiy
Timothy Hoffman
David W. Miller
Jan T. Offermann
Xiaoyang Liu
ArXivPDFHTML

Papers citing "Explainable Equivariant Neural Networks for Particle Physics: PELICAN"

3 / 3 papers shown
Title
Reconstruction of Unstable Heavy Particles Using Deep
  Symmetry-Preserving Attention Networks
Reconstruction of Unstable Heavy Particles Using Deep Symmetry-Preserving Attention Networks
M. Fenton
Alexander Shmakov
H. Okawa
Yuji Li
Ko-Yang Hsiao
Shih-Chieh Hsu
D. Whiteson
Pierre Baldi
19
7
0
05 Sep 2023
P-tensors: a General Formalism for Constructing Higher Order Message
  Passing Networks
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks
Tianyi Sun
Andrew R. Hands
Risi Kondor
8
2
0
19 Jun 2023
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
386
0
16 Apr 2018
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