Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1710.04340
Cited By
v1
v2 (latest)
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
12 October 2017
Naoya Takeishi
Yoshinobu Kawahara
Takehisa Yairi
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition"
50 / 151 papers shown
Title
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
Yitian Zhang
Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
AI4TS
41
0
0
17 Jun 2025
LETS Forecast: Learning Embedology for Time Series Forecasting
Abrar Majeedi
Viswanatha Reddy Gajjala
Satya Sai Srinath Namburi Gnvv
Nada Magdi Elkordi
Yin Li
AI4TS
27
0
0
06 Jun 2025
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
Ali Forootani
Mohammad Khosravi
AI4TS
15
0
0
26 May 2025
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
Nimrod Berman
Ilan Naiman
Moshe Eliasof
Hedi Zisling
Omri Azencot
DiffM
OffRL
82
0
0
19 May 2025
Learning dynamically inspired invariant subspaces for Koopman and transfer operator approximation
Gary Froyland
Kevin Kühl
90
0
0
08 May 2025
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
Long Tan Le
Tung Nguyen
Han Shu
Suranga Seneviratne
Choong Seon Hong
Nguyen Tran
105
0
0
14 Mar 2025
Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control
Giorgio Palma
A. Serani
Shawn Aram
David W. Wundrow
David Drazen
Matteo Diez
70
0
0
17 Feb 2025
Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
Naichang Ke
Ryogo Tanaka
Yoshinobu Kawahara
90
0
0
06 Jan 2025
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics
Hanyao Guo
Yunhai Han
Harish Ravichandar
162
0
0
02 Dec 2024
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
Samuel A. Moore
B. Mann
Boyuan Chen
AI4CE
90
1
0
01 Nov 2024
Data-driven Modeling of Granular Chains with Modern Koopman Theory
Atoosa Parsa
James P. Bagrow
C. O’Hern
Rebecca Kramer-Bottiglio
Josh Bongard
99
0
0
01 Nov 2024
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
Weiwei Ye
Songgaojun Deng
Qiaosha Zou
Ning Gui
AI4TS
68
11
0
30 Sep 2024
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
Ashutosh Singh
Ashish Singh
Tales Imbiriba
Deniz Erdogmus
R. Borsoi
AI4TS
AI4CE
70
1
0
29 Sep 2024
Predictive Covert Communication Against Multi-UAV Surveillance Using Graph Koopman Autoencoder
S. Krishnan
Jihong Park
Gregory Sherman
Benjamin Campbell
Jinho Choi
62
0
0
25 Sep 2024
Marginalizing and Conditioning Gaussians onto Linear Approximations of Smooth Manifolds with Applications in Robotics
Zi Cong Guo
James R. Forbes
Timothy D. Barfoot
94
0
0
15 Sep 2024
Spectrally Informed Learning of Fluid Flows
Benjamin D. Shaffer
Jeremy R. Vorenberg
M. A. Hsieh
AI4CE
68
0
0
26 Aug 2024
Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
Jinho Choi
S. Krishnan
Jihong Park
73
0
0
21 Aug 2024
Koopman Operators in Robot Learning
Lu Shi
Masih Haseli
Giorgos Mamakoukas
Daniel Bruder
Ian Abraham
Todd Murphey
Jorge Cortes
Konstantinos Karydis
AI4CE
120
8
0
08 Aug 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey
Milan Ganai
Sicun Gao
Sylvia Herbert
201
8
0
12 Jul 2024
Deep Bayesian Filter for Bayes-faithful Data Assimilation
Yuta Tarumi
Keisuke Fukuda
Shin-ichi Maeda
72
2
0
29 May 2024
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection
Thorben Markmann
Michiel Straat
Barbara Hammer
AI4CE
87
4
0
10 May 2024
CGNSDE: Conditional Gaussian Neural Stochastic Differential Equation for Modeling Complex Systems and Data Assimilation
Chuanqi Chen
Nan Chen
Jin-Long Wu
AI4CE
78
4
0
10 Apr 2024
Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion
Shahram Khorshidi
Murad Dawood
Maren Bennewitz
73
2
0
20 Mar 2024
Temporally Consistent Koopman Autoencoders for Forecasting Dynamical Systems
I. Nayak
Ananda Chakrabarty
Mrinal Kumar
Fernando L. Teixeira
Debdipta Goswami
116
5
0
19 Mar 2024
Koopman-Assisted Reinforcement Learning
Preston Rozwood
Edward Mehrez
Ludger Paehler
Wen Sun
Steven L. Brunton
109
10
0
04 Mar 2024
Phase autoencoder for limit-cycle oscillators
K. Yawata
Kai Fukami
Kunihiko Taira
Hiroya Nakao
126
9
0
28 Feb 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
Zijie Li
Saurabh Patil
Francis Ogoke
Dule Shu
Wilson Zhen
Michael Schneier
John R. Buchanan
A. Farimani
AI4CE
89
5
0
27 Feb 2024
Machine Learning based Prediction of Ditching Loads
Henning Schwarz
Micha Überrück
J. Zemke
Thomas Rung
MU
AI4CE
47
1
0
16 Feb 2024
Information theory for data-driven model reduction in physics and biology
Matthew S. Schmitt
Maciej Koch-Janusz
Michel Fruchart
Daniel S. Seara
Michael Rust
Vincenzo Vitelli
85
5
0
11 Dec 2023
Generative learning for nonlinear dynamics
William Gilpin
AI4CE
PINN
123
27
0
07 Nov 2023
Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
Priyam Gupta
Peter J. Schmid
D. Sipp
T. Sayadi
Georgios Rigas
118
5
0
16 Oct 2023
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
Ilan Naiman
N. Benjamin Erichson
Pu Ren
Lbnl Michael W. Mahoney ICSI
Omri Azencot
AI4TS
92
26
0
04 Oct 2023
Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator
Yuhan Zhao
Quanyan Zhu
76
3
0
28 Sep 2023
Deep Learning in Deterministic Computational Mechanics
L. Herrmann
Stefan Kollmannsberger
AI4CE
PINN
118
0
0
27 Sep 2023
InvKA: Gait Recognition via Invertible Koopman Autoencoder
Fan Li
Dong Liang
Jing Lian
Qidong Liu
Hegui Zhu
Jizhao Liu
CVBM
73
2
0
26 Sep 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling
Kshitij Tayal
Arvind Renganathan
Rahul Ghosh
X. Jia
Vipin Kumar
SyDa
AI4CE
89
5
0
19 Sep 2023
Data-Driven Batch Localization and SLAM Using Koopman Linearization
Zi Cong Guo
Frederike Dumbgen
James R. Forbes
Timothy D. Barfoot
81
4
0
08 Sep 2023
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics
P. Goyal
Süleyman Yıldız
P. Benner
89
3
0
26 Aug 2023
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies
E. Ye
Yuhang Wang
Hong Zhang
Y. Gao
Huan Wang
H. Sun
77
2
0
23 Aug 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
80
8
0
10 Jul 2023
Koopman operator learning using invertible neural networks
Yuhuang Meng
Jian-Kai Huang
Yue Qiu
53
14
0
30 Jun 2023
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Shaowu Pan
E. Kaiser
Brian M. de Silva
J. Nathan Kutz
Steven L. Brunton
118
8
0
22 Jun 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
Giacomo Meanti
Antoine Chatalic
Vladimir Kostic
P. Novelli
Massimiliano Pontil
Lorenzo Rosasco
92
11
0
07 Jun 2023
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
Md Asadullah Turja
Martin Styner
Guorong Wu
AI4CE
88
1
0
05 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors
Yong Liu
Chenyu Li
Jianmin Wang
Mingsheng Long
AI4TS
99
121
0
30 May 2023
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
108
77
0
21 May 2023
Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecasting
Anthony Frion
Lucas Drumetz
Guillaume Tochon
M. Dalla Mura
Abdeldjalil Aissa El Bey
47
3
0
05 May 2023
On the lifting and reconstruction of nonlinear systems with multiple invariant sets
Shaowu Pan
Karthik Duraisamy
124
4
0
24 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders
Nimrod Berman
Ilana D Naiman
Omri Azencot
CoGe
89
24
0
30 Mar 2023
Machine Learning for Partial Differential Equations
Steven L. Brunton
J. Nathan Kutz
AI4CE
101
21
0
30 Mar 2023
1
2
3
4
Next