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Machine Learning for Particle Flow Reconstruction at CMS

Machine Learning for Particle Flow Reconstruction at CMS

1 March 2022
J. Pata
Javier Mauricio Duarte
Farouk Mokhtar
Eric Wulff
J. Yoo
J. Vlimant
M. Pierini
M. Girone
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Papers citing "Machine Learning for Particle Flow Reconstruction at CMS"

14 / 14 papers shown
Title
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
21
1
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
16
7
0
14 Feb 2024
Finetuning Foundation Models for Joint Analysis Optimization
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
32
12
0
24 Jan 2024
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation
Ryan Liu
A. Gandrakota
J. Ngadiuba
M. Spiropulu
J. Vlimant
11
2
0
23 Nov 2023
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
22
0
0
13 Sep 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
17
7
0
30 Mar 2023
Hyperparameter optimization, quantum-assisted model performance
  prediction, and benchmarking of AI-based High Energy Physics workloads using
  HPC
Hyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Eric Wulff
M. Girone
D. Southwick
Juan Pablo García Amboage
Eduard Cuba
19
1
0
27 Mar 2023
Do graph neural networks learn traditional jet substructure?
Do graph neural networks learn traditional jet substructure?
Farouk Mokhtar
Raghav Kansal
Javier Mauricio Duarte
GNN
25
11
0
17 Nov 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
PINN
AI4CE
20
30
0
23 Mar 2022
Hyperparameter optimization of data-driven AI models on HPC systems
Hyperparameter optimization of data-driven AI models on HPC systems
Eric Wulff
M. Girone
J. Pata
9
7
0
02 Mar 2022
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
103
76
0
21 Jan 2021
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
75
49
0
19 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
14,047
0
02 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
258
1,398
0
01 Dec 2016
1