8 citations · 9 across the 11 of their papers we have counts for
3 papers · 1 filter
Reconstructing dynamics from sparse observations with no training on target system
Zheng-Meng Zhai, Jun-Yin Huang, Benjamin D. Stern +1
In applications, an anticipated situation is where the system of interest has never been encountered before and sparse observations can be made only once. Can the dynamics be faith…
Data-driven model discovery with Kolmogorov-Arnold networks
Mohammadamin Moradi, Shirin Panahi, Erik M. Bollt +1
Data-driven model discovery of complex dynamical systems is typically done using sparse optimization, but it has a fundamental limitation: sparsity in that the underlying governing…
Machine-learning parameter tracking with partial state observation
Zheng-Meng Zhai, Mohammadamin Moradi, Bryan Glaz +2
Complex and nonlinear dynamical systems often involve parameters that change with time, accurate tracking of which is essential to tasks such as state estimation, prediction, and c…