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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

10 February 2020
J. Kieseler
    3DPC
ArXivPDFHTML

Papers citing "Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data"

10 / 10 papers shown
Title
Tagging fully hadronic exotic decays of the vectorlike $\mathbf{B}$ quark using a graph neural network
Tagging fully hadronic exotic decays of the vectorlike B\mathbf{B}B quark using a graph neural network
Jai Bardhan
Tanumoy Mandal
Subhadip Mitra
Cyrin Neeraj
Mihir Rawat
28
0
0
12 May 2025
Do graph neural networks learn traditional jet substructure?
Do graph neural networks learn traditional jet substructure?
Farouk Mokhtar
Raghav Kansal
Javier Mauricio Duarte
GNN
36
11
0
17 Nov 2022
End-to-end multi-particle reconstruction in high occupancy imaging
  calorimeters with graph neural networks
End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
S. Qasim
N. Chernyavskaya
J. Kieseler
K. Long
O. Viazlo
M. Pierini
R. Nawaz
26
23
0
04 Apr 2022
Machine Learning for Particle Flow Reconstruction at CMS
Machine Learning for Particle Flow Reconstruction at CMS
J. Pata
Javier Mauricio Duarte
Farouk Mokhtar
Eric Wulff
J. Yoo
J. Vlimant
M. Pierini
M. Girone
41
24
0
01 Mar 2022
Graph Neural Networks for Charged Particle Tracking on FPGAs
Graph Neural Networks for Charged Particle Tracking on FPGAs
Abdelrahman Elabd
Vesal Razavimaleki
Shih-Yu Huang
Javier Mauricio Duarte
M. Atkinson
...
Bo-Cheng Lai
Mark S. Neubauer
I. Ojalvo
S. Thais
Matthew Trahms
GNN
38
35
0
03 Dec 2021
Deep Neural Network as an alternative to Boosted Decision Trees for PID
Deep Neural Network as an alternative to Boosted Decision Trees for PID
Denis Stanev
Riccardo Riva
Michele Umassi
PINN
19
1
0
28 Apr 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph
  neural networks
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
113
76
0
21 Jan 2021
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle
  Reconstruction in High Energy Physics
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
13
66
0
08 Aug 2020
GPU coprocessors as a service for deep learning inference in high energy
  physics
GPU coprocessors as a service for deep learning inference in high energy physics
J. Krupa
Kelvin Lin
M. Acosta Flechas
Jack T. Dinsmore
Javier Mauricio Duarte
...
K. Pedro
D. Rankin
Natchanon Suaysom
Matthew Trahms
N. Tran
BDL
3DV
20
32
0
20 Jul 2020
Towards a Computer Vision Particle Flow
Towards a Computer Vision Particle Flow
F. Bello
S. Ganguly
Eilam Gross
Marumi Kado
M. Pitt
Lorenzo Santi
Jonathan Shlomi
94
49
0
19 Mar 2020
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