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A FAIR and AI-ready Higgs boson decay dataset

A FAIR and AI-ready Higgs boson decay dataset

4 August 2021
Yifan Chen
Eliu A. Huerta
Javier Mauricio Duarte
Philip C. Harris
Daniel S. Katz
Mark S. Neubauer
Daniel Madrigal Diaz
Farouk Mokhtar
Raghav Kansal
Sang Eon Park
Volodymyr V. Kindratenko
Zhizhen Zhao
R. Rusack
ArXivPDFHTML

Papers citing "A FAIR and AI-ready Higgs boson decay dataset"

14 / 14 papers shown
Title
Finetuning Foundation Models for Joint Analysis Optimization
Finetuning Foundation Models for Joint Analysis Optimization
M. Vigl
N. Hartman
L. Heinrich
37
12
0
24 Jan 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
27
1
0
13 Sep 2023
Predicting the Future of the CMS Detector: Crystal Radiation Damage and
  Machine Learning at the LHC
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
B. Joshi
Taihui Li
Buyun Liang
R. Rusack
Ju Sun
8
0
0
23 Mar 2023
FAIR AI Models in High Energy Physics
FAIR AI Models in High Energy Physics
Javier Mauricio Duarte
Haoyang Li
Avik Roy
Ruike Zhu
Eliu A. Huerta
...
Mark S. Neubauer
Sang Eon Park
M. Quinnan
R. Rusack
Zhizhen Zhao
30
8
0
09 Dec 2022
AI Explainability and Governance in Smart Energy Systems: A Review
AI Explainability and Governance in Smart Energy Systems: A Review
Roba Alsaigh
Rashid Mehmood
Iyad A. Katib
32
23
0
24 Oct 2022
FAIR for AI: An interdisciplinary and international community building
  perspective
FAIR for AI: An interdisciplinary and international community building perspective
Eliu A. Huerta
B. Blaiszik
L. C. Brinson
Kristofer E Bouchard
Daniel Madrigal Diaz
...
F. Psomopoulos
Avik Roy
Oliver Rübel
Zhizhen Zhao
Ruike Zhu
30
41
0
30 Sep 2022
Data Science and Machine Learning in Education
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
26
5
0
19 Jul 2022
FAIR principles for AI models with a practical application for
  accelerated high energy diffraction microscopy
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
Nikil Ravi
Pranshu Chaturvedi
Eliu A. Huerta
Zhengchun Liu
Ryan Chard
Aristana Scourtas
K. J. Schmidt
Kyle Chard
B. Blaiszik
Ian T. Foster
37
26
0
01 Jul 2022
Applications of physics informed neural operators
Applications of physics informed neural operators
S. Rosofsky
Hani Al Majed
Eliu A. Huerta
PINN
AI4CE
17
39
0
23 Mar 2022
Interpreting a Machine Learning Model for Detecting Gravitational Waves
Interpreting a Machine Learning Model for Detecting Gravitational Waves
M. Safarzadeh
Asad Khan
Eliu A. Huerta
Martin Wattenberg
35
2
0
15 Feb 2022
Particle Transformer for Jet Tagging
Particle Transformer for Jet Tagging
H. Qu
Congqiao Li
Sitian Qian
ViT
MedIm
22
97
0
08 Feb 2022
The Tracking Machine Learning challenge : Throughput phase
The Tracking Machine Learning challenge : Throughput phase
S. Amrouche
L. Basara
P. Calafiura
D. Emeliyanov
Victor Estrade
...
E. Moyse
D. Rousseau
A. Salzburger
Andrey Ustyuzhanin
J. Vlimant
118
31
0
03 May 2021
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
278
1,400
0
01 Dec 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
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