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Operator inference of non-Markovian terms for learning reduced models
  from partially observed state trajectories

Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories

1 March 2021
W. I. Uy
Benjamin Peherstorfer
    OffRL
ArXivPDFHTML

Papers citing "Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories"

2 / 2 papers shown
Title
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
AI4CE
25
15
0
02 Dec 2022
Physics-informed regularization and structure preservation for learning
  stable reduced models from data with operator inference
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
N. Sawant
Boris Kramer
Benjamin Peherstorfer
AI4CE
19
28
0
06 Jul 2021
1