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Data Science and Machine Learning in Education

Data Science and Machine Learning in Education

19 July 2022
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
L. Gray
D. Hackett
Philip C. Harris
Shih-Chieh Hsu
Gregor Kasieczka
Elham E. Khoda
M. Komm
Miaoyuan Liu
Mark S. Neubauer
S. Norberg
A. Perloff
M. Rieger
Claire Savard
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
    AI4CE
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Papers citing "Data Science and Machine Learning in Education"

7 / 7 papers shown
Title
Data Science Education in Undergraduate Physics: Lessons Learned from a
  Community of Practice
Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice
Karan Shah
Julie Butler
Alexis Knaub
Anil Zenginoglu
William Ratcliff
Mohammad Soltanieh-ha
PINN
AI4CE
16
1
0
01 Mar 2024
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
20
8
0
09 Dec 2022
Machine Learning in the Search for New Fundamental Physics
Machine Learning in the Search for New Fundamental Physics
G. Karagiorgi
Gregor Kasieczka
S. Kravitz
Benjamin Nachman
David Shih
AI4CE
26
87
0
07 Dec 2021
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed
  Learning
Physics-Augmented Learning: A New Paradigm Beyond Physics-Informed Learning
Ziming Liu
Yunyue Chen
Yuanqi Du
Max Tegmark
PINN
AI4CE
32
22
0
28 Sep 2021
Machine-learning hidden symmetries
Machine-learning hidden symmetries
Ziming Liu
Max Tegmark
40
52
0
20 Sep 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
103
76
0
21 Jan 2021
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
121
419
0
10 Mar 2020
1