Model-free tracking control of complex dynamical trajectories with machine learning. - Zheng-Meng Zhai; Mohammadamin Moradi; Ling-Wei Kong; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Machine-learning parameter tracking with partial state observation. - Zheng-Meng Zhai; Mohammadamin Moradi; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2023)

Random forests for detecting weak signals and extracting physical information: a case study of magnetic navigation. - Mohammadamin Moradi; Zheng-Meng Zhai; Aaron Nielsen; Ying-Cheng Lai (CoRR, 2024)

Machine-learning prediction of tipping and collapse of the Atlantic Meridional Overturning Circulation. - Shirin Panahi; Ling-Wei Kong; Mohammadamin Moradi; Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Data-driven model discovery with Kolmogorov-Arnold networks. - Mohammadamin Moradi; Shirin Panahi; Erik M. Bollt; Ying-Cheng Lai (CoRR, 2024)

Kolmogorov-Arnold Network Autoencoders. - Mohammadamin Moradi; Shirin Panahi; Erik M. Bollt; Ying-Cheng Lai (CoRR, 2024)

Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning. - Mohammadamin Moradi; Runyu Jiang; Yingzi Liu; Malvern Madondo; Tianming Wu; James J. Sohn; Xiaofeng Yang; Yasmin Hasan; Zhen Tian (CoRR, 2025)