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1908.11233
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Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference
SIAM Journal on Scientific Computing (SISC), 2019
29 August 2019
Benjamin Peherstorfer
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Papers citing
"Sampling low-dimensional Markovian dynamics for pre-asymptotically recovering reduced models from data with operator inference"
19 / 19 papers shown
Nested Operator Inference for Adaptive Data-Driven Learning of Reduced-order Models
Nicole Aretz
Karen Willcox
AI4CE
181
2
0
15 Aug 2025
Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction
Paul Schwerdtner
Prakash Mohan
Julie Bessac
M. H. D. Frahan
Benjamin Peherstorfer
156
1
0
28 Jul 2025
Learning Latent Space Dynamics with Model-Form Uncertainties: A Stochastic Reduced-Order Modeling Approach
Computer Methods in Applied Mechanics and Engineering (CMAME), 2024
Jin Yi Yong
Rudy Geelen
Johann Guilleminot
334
4
0
30 Aug 2024
System stabilization with policy optimization on unstable latent manifolds
Steffen W. R. Werner
Benjamin Peherstorfer
230
2
0
08 Jul 2024
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference
I. V. Gosea
Luisa Peterson
P. Goyal
J. Bremer
Kai Sundmacher
Peter Benner
AI4CE
128
3
0
27 Feb 2024
Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes
SIAM Journal on Scientific Computing (SISC), 2023
Paul Schwerdtner
Philipp Schulze
Jules Berman
Benjamin Peherstorfer
236
10
0
11 Oct 2023
Operator inference with roll outs for learning reduced models from scarce and low-quality data
Computers and Mathematics with Applications (CMA), 2022
W. I. Uy
D. Hartmann
Benjamin Peherstorfer
AI4CE
263
23
0
02 Dec 2022
Context-aware controller inference for stabilizing dynamical systems from scarce data
Proceedings of the Royal Society A (Proc. R. Soc. A), 2022
Steffen W. R. Werner
Benjamin Peherstorfer
328
3
0
22 Jul 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
Journal of Computational Physics (JCP), 2022
Xiaolong He
Youngsoo Choi
William D. Fries
Jonathan Belof
Jiun-Shyan Chen
AI4CE
179
52
0
26 Apr 2022
Bayesian operator inference for data-driven reduced-order modeling
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Mengwu Guo
Shane A. McQuarrie
Karen E. Willcox
149
48
0
22 Apr 2022
On the sample complexity of stabilizing linear dynamical systems from data
Foundations of Computational Mathematics (FoCM), 2022
Steffen W. R. Werner
Benjamin Peherstorfer
172
13
0
28 Feb 2022
Active operator inference for learning low-dimensional dynamical-system models from noisy data
SIAM Journal on Scientific Computing (SISC), 2021
W. I. Uy
Yuepeng Wang
Yuxiao Wen
Benjamin Peherstorfer
AI4CE
172
12
0
20 Jul 2021
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
N. Sawant
Boris Kramer
Benjamin Peherstorfer
AI4CE
194
43
0
06 Jul 2021
Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories
Journal of Scientific Computing (J. Sci. Comput.), 2021
W. I. Uy
Benjamin Peherstorfer
OffRL
209
17
0
01 Mar 2021
Reduced operator inference for nonlinear partial differential equations
SIAM Journal on Scientific Computing (SISC), 2021
E. Qian
Ionut-Gabriel Farcas
Karen E. Willcox
AI4CE
200
55
0
29 Jan 2021
Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations
W. I. Uy
Benjamin Peherstorfer
148
12
0
12 May 2020
Model Reduction and Neural Networks for Parametric PDEs
K. Bhattacharya
Bamdad Hosseini
Nikola B. Kovachki
Andrew M. Stuart
638
430
0
07 May 2020
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
E. Qian
Boris Kramer
Benjamin Peherstorfer
Karen E. Willcox
AI4CE
507
303
0
17 Dec 2019
Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation
Z. Drmač
Benjamin Peherstorfer
147
23
0
30 Sep 2019
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