Emergence of a stochastic resonance in machine learning. - Zheng-Meng Zhai; Ling-Wei Kong; Ying-Cheng Lai (CoRR, 2022)

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)

Learning to learn ecosystems from limited data - a meta-learning approach. - Zheng-Meng Zhai; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2024)

Reconstructing dynamics from sparse observations with no training on target system. - Zheng-Meng Zhai; Jun-Yin Huang; Benjamin D. Stern; Ying-Cheng Lai (CoRR, 2024)