Max Kreider

Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression

Max Kreider, John Harlim, Daning Huang

Accurate prediction of complex dynamical systems from noisy measurements remains a significant challenge in scientific computing. Kernel ridge regression learning strategies are often effective when applied to clean data, but have limited success with noisy data. Recent work has…Read more