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Jonathan Sze Choong Low
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2020 – today
- 2024
- [i6]Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression. CoRR abs/2407.00065 (2024) - [i5]Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan:
Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. CoRR abs/2408.11691 (2024) - 2023
- [c4]Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis. DEXA (1) 2023: 259-265 - [c3]Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan:
Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman. DEXA (2) 2023: 469-474 - [c2]Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. iiWAS 2023: 107-120 - [c1]Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan:
Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. iiWAS 2023: 201-207 - [i4]Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
Separable Hamiltonian Neural Networks. CoRR abs/2309.01069 (2023) - [i3]Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan:
Celestial Machine Learning: From Data to Mars and Beyond with AI Feynman. CoRR abs/2312.09766 (2023) - [i2]Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan:
A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning. CoRR abs/2312.09775 (2023) - [i1]Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan:
Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman. CoRR abs/2312.12315 (2023)
2010 – 2019
- 2019
- [j1]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
Materials informatics. J. Intell. Manuf. 30(6): 2307-2326 (2019)
Coauthor Index
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last updated on 2024-09-28 01:28 CEST by the dblp team
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