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1710.04340
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Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
12 October 2017
Naoya Takeishi
Yoshinobu Kawahara
Takehisa Yairi
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Papers citing
"Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition"
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152
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System Identification of a Moored ASV with Recessed Moon Pool via Deterministic and Bayesian Hankel-DMDc
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Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks
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138
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187
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453
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169
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Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
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196
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Deepanshu Verma
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245
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Function Spaces Without Kernels: Learning Compact Hilbert Space Representations
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184
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Learning Spatio-Temporal Dynamics via Operator-Valued RKHS and Kernel Koopman Methods
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149
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DeepKoopFormer: A Koopman Enhanced Transformer Based Architecture for Time Series Forecasting
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Mohammad Khosravi
Masoud Barati
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225
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Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction
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Prakash Mohan
Julie Bessac
M. H. D. Frahan
Benjamin Peherstorfer
175
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Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
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J. Jon Ryu
Se-Young Yun
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335
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SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
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Liheng Ma
Antonios Valkanas
Boris N. Oreshkin
Mark Coates
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361
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240
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06 Jun 2025
Synthetic Time Series Forecasting with Transformer Architectures: Extensive Simulation Benchmarks
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Mohammad Khosravi
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405
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One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
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Ilan Naiman
Moshe Eliasof
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589
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19 May 2025
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Kevin Kühl
356
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Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
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Long Tan Le
Tung Nguyen
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Choong Seon Hong
Phuong Vo
367
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14 Mar 2025
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David W. Wundrow
David Drazen
Matteo Diez
270
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Learning Stochastic Nonlinear Dynamics with Embedded Latent Transfer Operators
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Ryogo Tanaka
Yoshinobu Kawahara
498
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06 Jan 2025
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Harish Ravichandar
635
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02 Dec 2024
Automated Global Analysis of Experimental Dynamics through Low-Dimensional Linear Embeddings
Samuel A. Moore
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Boyuan Chen
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340
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Data-driven Modeling of Granular Chains with Modern Koopman Theory
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James P. Bagrow
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Josh Bongard
265
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Frequency Adaptive Normalization For Non-stationary Time Series Forecasting
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Ning Gui
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272
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KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators
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310
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300
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311
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331
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633
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279
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