20 citations · 52 across the 13 of their papers we have counts for
4 papers · 1 filter
Koopman Learning with Episodic Memory
William T. Redman, Dean Huang, Maria Fonoberova +1
Koopman operator theory has found significant success in learning models of complex, real-world dynamical systems, enabling prediction and control. The greater interpretability and…
A Koopman Operator-Based Prediction Algorithm and its Application to COVID-19 Pandemic
Igor Mezic, Zlatko Drmac, Nelida Crnjaric-Zic +6
The problem of prediction of behavior of dynamical systems has undergone a paradigm shift in the second half of the 20th century with the discovery of the possibility of chaotic dy…
Koopman Reduced Order Modeling with Confidence Bounds
Ryan Mohr, Maria Fonoberova, Igor Mezic
This paper introduces a reduced order modeling technique based on Koopman operator theory that gives confidence bounds on the model's predictions. It is based on a data-driven spec…
Exponentially decaying modes and long-term prediction of sea ice concentration using Koopman Mode Decomposition
James Hogg, Maria Fonoberova, Igor Mezic
Sea ice cover in the Arctic and Antarctic is an important indicator of changes in the climate, with important environmental, economic and security consequences. The complexity of t…