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Towards a Computer Vision Particle Flow
v1v2v3 (latest)

Towards a Computer Vision Particle Flow

19 March 2020
F. Bello
S. Ganguly
Eilam Gross
Marumi Kado
M. Pitt
Lorenzo Santi
Jonathan Shlomi
ArXiv (abs)PDFHTML

Papers citing "Towards a Computer Vision Particle Flow"

14 / 14 papers shown
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
N. Kakati
Etienne Dreyer
Eilam Gross
AI4CE
294
2
0
24 Sep 2024
A Language Model for Particle Tracking
A Language Model for Particle Tracking
Andris Huang
Yash Melkani
P. Calafiura
Alina Lazar
D. Murnane
Minh-Tuan Pham
Xiangyang Ju
217
10
0
14 Feb 2024
Improved particle-flow event reconstruction with scalable neural
  networks for current and future particle detectors
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
J. Pata
Eric Wulff
Farouk Mokhtar
D. Southwick
Mengke Zhang
M. Girone
Javier Duarte
510
9
0
13 Sep 2023
Calorimeter shower superresolution
Calorimeter shower superresolution
Ian Pang
C. Pollard
David Shih
DiffM
284
13
0
22 Aug 2023
SR-GAN for SR-gamma: super resolution of photon calorimeter images at
  collider experiments
SR-GAN for SR-gamma: super resolution of photon calorimeter images at collider experiments
Johannes Erdmann
A. V. D. Graaf
F. Mausolf
O. Nackenhorst
GAN
243
5
0
17 Aug 2023
Progress towards an improved particle flow algorithm at CMS with machine
  learning
Progress towards an improved particle flow algorithm at CMS with machine learning
Farouk Mokhtar
J. Pata
Javier Mauricio Duarte
Eric Wulff
M. Pierini
J. Vlimant
AI4CE
223
10
0
30 Mar 2023
Configurable calorimeter simulation for AI applications
Configurable calorimeter simulation for AI applications
F. D. Di Bello
Anton Charkin-Gorbulin
Kyle Cranmer
Etienne Dreyer
S. Ganguly
...
Lorenzo Santi
Marumi Kado
N. Kakati
P. Rieck
Matteo Tusoni
306
10
0
03 Mar 2023
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
369
40
0
23 Mar 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
402
30
0
01 Mar 2022
Generative Networks for Precision Enthusiasts
Generative Networks for Precision EnthusiastsSciPost Physics (SciPost Phys.), 2021
A. Butter
Theo Heimel
Sander Hummerich
Tobias Krebs
Tilman Plehn
Armand Rousselot
Sophia Vent
AI4CE
430
66
0
22 Oct 2021
Understanding Event-Generation Networks via Uncertainties
Understanding Event-Generation Networks via UncertaintiesSciPost Physics (SciPost Phys.), 2021
Marco Bellagente
Manuel Haussmann
Michel Luchmann
Tilman Plehn
BDL
274
62
0
09 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
656
86
0
21 Jan 2021
Simulating the Time Projection Chamber responses at the MPD detector
  using Generative Adversarial Networks
Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks
A. Maevskiy
F. Ratnikov
A. Zinchenko
V. Riabov
293
12
0
08 Dec 2020
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
248
65
0
10 Feb 2020
1
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