Jonathan Sze Choong Low

14 papers C 2Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Periodic Hamiltonian Neural Networks. IEEE Trans. Artif. Intell. Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan
2025	—	`conf`	Physics-Informed Discovery of State Variables in Second-Order and Hamiltonian Systems. ACIIDS (1) Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan
2024	—	`conf`	A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression. CAI Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2024	J	`jnl`	A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression. CoRR Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2024	J	`jnl`	Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. CoRR Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan
2023	C	`conf`	A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. iiWAS Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2023	J	`jnl`	A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. CoRR Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2023	—	`conf`	Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis. DEXA (1) Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2023	C	`conf`	Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. iiWAS Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
2023	—	`conf`	Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman. DEXA (2) Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
2023	J	`jnl`	Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. CoRR Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
2023	J	`jnl`	Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman. CoRR Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan
2023	J	`jnl`	Separable Hamiltonian Neural Networks. CoRR Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan
2019	J	`jnl`	Materials informatics. J. Intell. Manuf. Seeram Ramakrishna, Tong-yi Zhang, Wen-Cong Lu, Quan Qian, Jonathan Sze Choong Low, Jeremy Heiarii Ronald Yune, Daren Zong Loong Tan, Stéphane Bressan, Stefano Sanvito, Surya R. Kalidindi