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2204.01681
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End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks
4 April 2022
S. Qasim
N. Chernyavskaya
J. Kieseler
K. Long
O. Viazlo
M. Pierini
R. Nawaz
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Papers citing
"End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks"
7 / 7 papers shown
Title
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
N. Kakati
Etienne Dreyer
Eilam Gross
AI4CE
19
1
0
24 Sep 2024
Exploring End-to-end Differentiable Neural Charged Particle Tracking -- A Loss Landscape Perspective
T. Kortus
Ralf Keidel
N.R. Gauger
48
0
0
18 Jul 2024
Unifying Simulation and Inference with Normalizing Flows
Haoxing Du
Claudius Krause
Vinicius Mikuni
Benjamin Nachman
Ian Pang
David Shih
26
3
0
29 Apr 2024
High Pileup Particle Tracking with Object Condensation
K. Lieret
G. Dezoort
Devdoot Chatterjee
Jian Park
Siqi Miao
Pan Li
VOT
19
5
0
06 Dec 2023
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta
Bishnu Karki
P. Karande
Aaron Angerami
M. Arratia
K. Barish
R. Milton
Sebastián Morán
Benjamin Nachman
Anshuman Sinha
6
3
0
02 Oct 2023
Graph Structure from Point Clouds: Geometric Attention is All You Need
D. Murnane
GNN
3DPC
6
4
0
31 Jul 2023
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
103
76
0
21 Jan 2021
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