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2105.01160
Cited By
The Tracking Machine Learning challenge : Throughput phase
3 May 2021
S. Amrouche
L. Basara
P. Calafiura
D. Emeliyanov
Victor Estrade
S. Farrell
Cécile Germain
V. Gligorov
T. Golling
S. Gorbunov
H. Gray
Isabelle M Guyon
M. Hushchyn
V. Innocente
M. Kiehn
M. Kunze
E. Moyse
D. Rousseau
A. Salzburger
Andrey Ustyuzhanin
J. Vlimant
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Papers citing
"The Tracking Machine Learning challenge : Throughput phase"
12 / 12 papers shown
Title
FAIR Universe HiggsML Uncertainty Challenge Competition
W. Bhimji
P. Calafiura
Ragansu Chakkappai
Yuan-Tang Chou
S. Diefenbacher
...
D. Rousseau
Benjamin Sluijter
Benjamin Thorne
Ihsan Ullah
Yulei Zhang
32
2
0
03 Oct 2024
EggNet: An Evolving Graph-based Graph Attention Network for Particle Track Reconstruction
P. Calafiura
Jay Chan
Loic Delabrouille
Brandon Wang
VOT
38
1
0
18 Jul 2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao
Zhiyuan Lu
Mia Liu
Javier Duarte
Pan Li
47
4
0
19 Feb 2024
A Language Model for Particle Tracking
Andris Huang
Yash Melkani
P. Calafiura
Alina Lazar
D. Murnane
Minh-Tuan Pham
Xiangyang Ju
28
7
0
14 Feb 2024
Combining the Strengths of Dutch Survey and Register Data in a Data Challenge to Predict Fertility (PreFer)
E. Sivak
Paulina Pankowska
Adrienne Mendrik
Tom Emery
Javier Garcia-Bernardo
...
Kasia Karpinska
Angelica Maineri
J. Mulder
Malvina Nissim
Gert Stulp
26
1
0
01 Feb 2024
High Pileup Particle Tracking with Object Condensation
K. Lieret
G. Dezoort
Devdoot Chatterjee
Jian Park
Siqi Miao
Pan Li
VOT
30
9
0
06 Dec 2023
Snowmass 2021 Computational Frontier CompF4 Topical Group Report: Storage and Processing Resource Access
W. Bhimij
D. Carder
Eli Dart
Javier M. Duarte
I. Fisk
...
N. Tran
P. Gemmeren
G. Watts
B. Weaver
F. Würthwein
19
0
0
19 Sep 2022
FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Javier Mauricio Duarte
Nhan Tran
B. Hawks
C. Herwig
J. Muhizi
Shvetank Prakash
Vijay Janapa Reddi
27
11
0
16 Jul 2022
Hybrid Quantum Classical Graph Neural Networks for Particle Track Reconstruction
Cenk Tüysüz
C. Rieger
Kristiane Novotny
B. Demirköz
D. Dobos
K. Potamianos
S. Vallecorsa
J. Vlimant
Richard Forster
107
52
0
26 Sep 2021
A FAIR and AI-ready Higgs boson decay dataset
Yifan Chen
Eliu A. Huerta
Javier Mauricio Duarte
Philip C. Harris
Daniel S. Katz
...
Raghav Kansal
Sang Eon Park
Volodymyr V. Kindratenko
Zhizhen Zhao
R. Rusack
21
25
0
04 Aug 2021
A Living Review of Machine Learning for Particle Physics
Matthew Feickert
Benjamin Nachman
KELM
AI4CE
11
151
0
02 Feb 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
J. Pata
Javier Mauricio Duarte
J. Vlimant
M. Pierini
M. Spiropulu
107
76
0
21 Jan 2021
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