Bryan Glaz

According to our database, Bryan Glaz authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

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

Pseudometrics for scalable data-driven comparisons of nonlinear dynamical systems.

Bryan Glaz

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

2023

Machine-learning parameter tracking with partial state observation.

Zheng-Meng Zhai, Mohammadamin Moradi, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2023

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

2022

Digital twins of nonlinear dynamical systems.

Ling-Wei Kong, Yang Weng, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2022

2021

Tomography of time-dependent quantum spin networks with machine learning.

Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2021

Adaptable Hamiltonian neural networks.

Chen-Di Han, Bryan Glaz, Mulugeta A. Haile, Ying-Cheng Lai

CoRR, 2021