activity
20032022
most citedApplications of Koopman Mode Analysis to Neural Networks

10 citations · 18 across the 5 of their papers we have counts for

collaborators

20 papers

cs.DS2022

Algorithmic (Semi-)Conjugacy via Koopman Operator Theory

William T. Redman, Maria Fonoberova, Ryan Mohr +2

Iterative algorithms are of utmost importance in decision and control. With an ever growing number of algorithms being developed, distributed, and proprietarized, there is a simila…

cs.LG20204 cited

Predicting the Critical Number of Layers for Hierarchical Support Vector Regression

Ryan Mohr, Maria Fonoberova, Zlatko Drmač +2

Hierarchical support vector regression (HSVR) models a function from data as a linear combination of SVR models at a range of scales, starting at a coarse scale and moving to finer…

math.DS2020

Koopman Operator, Geometry, and Learning

Igor Mezic

We provide a framework for learning of dynamical systems rooted in the concept of representations and Koopman operators. The interplay between the two leads to the full description…

math.DS2020

On Numerical Approximations of the Koopman Operator

Igor Mezic

We study numerical approaches to computation of spectral properties of composition operators. We provide a characterization of Koopman Modes in Banach spaces using Generalized Lapl…

cs.LG202010 cited

Applications of Koopman Mode Analysis to Neural Networks

Iva Manojlović, Maria Fonoberova, Ryan Mohr +4

We consider the training process of a neural network as a dynamical system acting on the high-dimensional weight space. Each epoch is an application of the map induced by the optim…

eess.SY2019

Control-Oriented, Data-Driven Models of Thermal Dynamics

Ljuboslav Boskic, Igor Mezic

Energy savings from efficiency methods in individual residential buildings are measured in 10's of dollars, while the energy savings from such measures nationally would amount to 1…