4 citations · 5 across the 2 of their papers we have counts for
2 papers
math.OC2023★ 4 cited
Learning Parametric Koopman Decompositions for Prediction and Control
Yue Guo, Milan Korda, Ioannis G. Kevrekidis +1
We present an approach to construct approximate Koopman-type decompositions for dynamical systems depending on static or time-varying parameters. Our method simultaneously construc…
cs.LG2022★ 1 cited
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms
Danimir T. Doncevic, Alexander Mitsos, Yue Guo +4
Meta-learning of numerical algorithms for a given task consists of the data-driven identification and adaptation of an algorithmic structure and the associated hyperparameters. To…