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Topology classification with deep learning to improve real-time event
  selection at the LHC

Topology classification with deep learning to improve real-time event selection at the LHC

29 June 2018
Thong Q. Nguyen
Daniel Weitekamp
D. Anderson
R. Castello
O. Cerri
M. Pierini
M. Spiropulu
J. Vlimant
ArXivPDFHTML

Papers citing "Topology classification with deep learning to improve real-time event selection at the LHC"

4 / 4 papers shown
Title
Artificial intelligence for improved fitting of trajectories of
  elementary particles in inhomogeneous dense materials immersed in a magnetic
  field
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
Saúl Alonso-Monsalve
D. Sgalaberna
Xingyu Zhao
C. Mcgrew
A. Rubbia
19
4
0
09 Nov 2022
A Living Review of Machine Learning for Particle Physics
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
39
178
0
02 Feb 2021
Object condensation: one-stage grid-free multi-object reconstruction in
  physics detectors, graph and image data
Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data
J. Kieseler
3DPC
22
48
0
10 Feb 2020
Learning representations of irregular particle-detector geometry with
  distance-weighted graph networks
Learning representations of irregular particle-detector geometry with distance-weighted graph networks
S. Qasim
J. Kieseler
Y. Iiyama
M. Pierini
35
135
0
21 Feb 2019
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