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Particle Convolution for High Energy Physics

Particle Convolution for High Energy Physics

5 July 2021
C. Shimmin
ArXivPDFHTML

Papers citing "Particle Convolution for High Energy Physics"

6 / 6 papers shown
Title
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph
  Construction Methods and Chebyshev Graph Convolutions
PCN: A Deep Learning Approach to Jet Tagging Utilizing Novel Graph Construction Methods and Chebyshev Graph Convolutions
Yash Semlani
Mihir Relan
Krithik Ramesh
GNN
42
3
0
12 Sep 2023
Rethinking SO(3)-equivariance with Bilinear Tensor Networks
Rethinking SO(3)-equivariance with Bilinear Tensor Networks
C. Shimmin
Zhelun Li
Ema Smith
3DPC
28
0
0
20 Mar 2023
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
PC-JeDi: Diffusion for Particle Cloud Generation in High Energy Physics
Matthew Leigh
Debasish Sengupta
Guillaume Quétant
J. A. Raine
K. Zoch
T. Golling
DiffM
42
46
0
09 Mar 2023
Particle Transformer for Jet Tagging
Particle Transformer for Jet Tagging
H. Qu
Congqiao Li
Sitian Qian
ViT
MedIm
26
97
0
08 Feb 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
49
113
0
07 Dec 2021
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
165
310
0
05 Nov 2018
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