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Operator inference with roll outs for learning reduced models from scarce and low-quality data

Operator inference with roll outs for learning reduced models from scarce and low-quality data

W. I. Uy
D. Hartmann
Benjamin Peherstorfer
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Papers citing "Operator inference with roll outs for learning reduced models from scarce and low-quality data"

4 / 4 papers shown
Title
Gaussian process learning of nonlinear dynamics
Gaussian process learning of nonlinear dynamics
Dongwei Ye
Mengwu Guo
20
4
0
19 Dec 2023
Inference of Continuous Linear Systems from Data with Guaranteed Stability
Inference of Continuous Linear Systems from Data with Guaranteed Stability
P. Goyal
I. P. Duff
P. Benner
19
4
0
24 Jan 2023
Neural ODEs with Irregular and Noisy Data
Neural ODEs with Irregular and Noisy Data
P. Goyal
P. Benner
31
4
0
19 May 2022
Neural Ordinary Differential Equations for Nonlinear System Identification
Neural Ordinary Differential Equations for Nonlinear System Identification
Aowabin Rahman
Ján Drgoňa
Aaron Tuor
J. Strube
25
22
0
28 Feb 2022