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Exploring the Truth and Beauty of Theory Landscapes with Machine Learning
21 January 2024
Konstantin T. Matchev
Katia Matcheva
Pierre Ramond
Sarunas Verner
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Papers citing
"Exploring the Truth and Beauty of Theory Landscapes with Machine Learning"
5 / 5 papers shown
Title
Truth, beauty, and goodness in grand unification: a machine learning approach
Shinsuke Kawai
Nobuchika Okada
21
1
0
11 Nov 2024
Seeking Truth and Beauty in Flavor Physics with Machine Learning
Konstantin T. Matchev
Katia Matcheva
Pierre Ramond
Sarunas Verner
AI4CE
11
2
0
31 Oct 2023
Exploring the flavor structure of quarks and leptons with reinforcement learning
Satsuki Nishimura
Coh Miyao
Hajime Otsuka
8
8
0
27 Apr 2023
Learning Symbolic Physics with Graph Networks
M. Cranmer
Rui Xu
Peter W. Battaglia
S. Ho
PINN
AI4CE
175
83
0
12 Sep 2019
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CE
OCL
226
438
0
01 Dec 2016
1