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Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC

Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC

11 March 2021
S. Thais
G. Dezoort
ArXiv (abs)PDFHTML

Papers citing "Instance Segmentation GNNs for One-Shot Conformal Tracking at the LHC"

4 / 4 papers shown
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update
  and Hyper-class Representation
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class RepresentationACM Multimedia (ACM MM), 2022
Guangchen Shi
Yirui Wu
Jing Liu
Shaohua Wan
Wenhai Wang
Tong Lu
CLL
229
41
0
26 Jul 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations,
  and Challenges
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
S. Thais
P. Calafiura
G. Chachamis
G. Dezoort
Javier Mauricio Duarte
S. Ganguly
Michael Kagan
D. Murnane
Mark S. Neubauer
K. Terao
PINNAI4CE
334
40
0
23 Mar 2022
Segmentation of EM showers for neutrino experiments with deep graph
  neural networks
Segmentation of EM showers for neutrino experiments with deep graph neural networksJournal of Instrumentation (JINST), 2021
V. Belavin
Ekaterina Trofimova
Andrey Ustyuzhanin
481
3
0
05 Apr 2021
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELMAI4CE
210
216
0
02 Feb 2021
1
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