Search Results for author: Igor Mezic

Found 3 papers, 2 papers with code

An Operator Theoretic View on Pruning Deep Neural Networks

no code implementations ICLR 2022 William T. Redman, Maria Fonoberova, Ryan Mohr, Ioannis G. Kevrekidis, Igor Mezic

The discovery of sparse subnetworks that are able to perform as well as full models has found broad applied and theoretical interest.

Spectral analysis of mixing in 2D high-Reynolds flows

2 code implementations24 Mar 2019 Hassan Arbabi, Igor Mezic

We use spectral analysis of Eulerian and Lagrangian dynamics to study the advective mixing in an incompressible 2D bounded cavity flow.

Fluid Dynamics 76F25, 37A25

A data-driven Koopman model predictive control framework for nonlinear flows

2 code implementations15 Apr 2018 Hassan Arbabi, Milan Korda, Igor Mezic

The Koopman operator theory is an increasingly popular formalism of dynamical systems theory which enables analysis and prediction of the nonlinear dynamics from measurement data.

Fluid Dynamics 76B75, 35Q93, 76D55, 76N25

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