Jonathan Sze Choong Low

Orcid: 0000-0002-7913-169X

According to our database1, Jonathan Sze Choong Low authored at least 9 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2025
Periodic Hamiltonian Neural Networks.
IEEE Trans. Artif. Intell., May, 2025

Physics-Informed Discovery of State Variables in Second-Order and Hamiltonian Systems.
Proceedings of the Intelligent Information and Database Systems - 17th Asian Conference, 2025

2024
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression.
CoRR, 2024

2023
Separable Hamiltonian Neural Networks.
CoRR, 2023

Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman.
Proceedings of the Information Integration and Web Intelligence, 2023

A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning.
Proceedings of the Information Integration and Web Intelligence, 2023

Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman.
Proceedings of the Database and Expert Systems Applications, 2023

Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis.
Proceedings of the Database and Expert Systems Applications, 2023

2019
Materials informatics.
J. Intell. Manuf., 2019


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