Zi-Yu Khoo

According to our database, Zi-Yu Khoo authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Separable Hamiltonian Neural Networks.

Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

CoRR, 2023

Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman.

Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Information Integration and Web Intelligence, 2023

A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning.

Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Information Integration and Web Intelligence, 2023

Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman.

Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan

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.

Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2023

2022

What's Next? Predicting Hamiltonian Dynamics from Discrete Observations of a Vector Field.

Zi-Yu Khoo, Delong Zhang, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2022

2021

Neural Ordinary Differential Equations for the Regression of Macroeconomics Data Under the Green Solow Model.

Zi-Yu Khoo, Kang Hao Lee, Zhibo Huang, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2021