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Koopman operator learning using invertible neural networks
v1v2 (latest)

Koopman operator learning using invertible neural networks

30 June 2023
Yuhuang Meng
Jian-Kai Huang
Yue Qiu
ArXiv (abs)PDFHTML

Papers citing "Koopman operator learning using invertible neural networks"

5 / 5 papers shown
Title
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Augmented Invertible Koopman Autoencoder for long-term time series forecasting
Anthony Frion
Lucas Drumetz
M. Dalla Mura
Guillaume Tochon
Abdeldjalil Aissa El Bey
AI4TS
244
0
0
17 Mar 2025
An explainable operator approximation framework under the guideline of Green's function
An explainable operator approximation framework under the guideline of Green's functionJournal of Computational Physics (JCP), 2024
Jianghang Gu
Ling Wen
Yuntian Chen
Shiyi Chen
334
1
0
21 Dec 2024
Adaptive Koopman Embedding for Robust Control of Complex Nonlinear
  Dynamical Systems
Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems
Rajpal Singh
Chandan Kumar Sah
Jishnu Keshavan
176
2
0
15 May 2024
Sparse discovery of differential equations based on multi-fidelity
  Gaussian process
Sparse discovery of differential equations based on multi-fidelity Gaussian processJournal of Computational Physics (JCP), 2024
Yuhuang Meng
Yue Qiu
275
2
0
22 Jan 2024
Forecasting Sequential Data using Consistent Koopman Autoencoders
Forecasting Sequential Data using Consistent Koopman AutoencodersInternational Conference on Machine Learning (ICML), 2020
Omri Azencot
N. Benjamin Erichson
Vanessa Lin
Michael W. Mahoney
AI4TSAI4CE
408
180
0
04 Mar 2020
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