Modern Koopman Theory for Dynamical Systems

24 February 2021

Steven L. Brunton

Papers citing "Modern Koopman Theory for Dynamical Systems"

50 / 146 papers shown

Title
Continuous Temporal Domain Generalization Z. Cai Guangji Bai Renhe Jiang Xuan Song Liang Zhao 38 2 0 25 May 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes Vladimir Kostic Karim Lounici Helene Halconruy Timothée Devergne Massimiliano Pontil DiffM 21 4 0 21 May 2024
VCformer: Variable Correlation Transformer with Inherent Lagged Correlation for Multivariate Time Series Forecasting Yingnan Yang Qingling Zhu Jianyong Chen AI4TS 30 4 0 19 May 2024
Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems Rajpal Singh Chandan Kumar Sah Jishnu Keshavan 13 1 0 15 May 2024
Koopman-Based Surrogate Modelling of Turbulent Rayleigh-Bénard Convection Thorben Markmann Michiel Straat Barbara Hammer AI4CE 20 3 0 10 May 2024
Multiplicative Dynamic Mode Decomposition Nicolas Boullé Matthew J. Colbrook 27 2 0 08 May 2024
Real-Time Motion Detection Using Dynamic Mode Decomposition Marco Mignacca Simone Brugiapaglia J. Bramburger 24 0 0 08 May 2024
Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators Matthew J. Colbrook Catherine Drysdale Andrew Horning 29 5 0 01 May 2024
Learning with 3D rotations, a hitchhiker's guide to SO(3) A. R. Geist Jonas Frey Mikel Zobro Anna Levina Georg Martius 3DH SSL 28 17 0 17 Apr 2024
Modal Analysis of Spatiotemporal Data via Multivariate Gaussian Process Regression Jiwoo Song Daning Huang 22 0 0 19 Mar 2024
Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory George Nehma Madhur Tiwari M. Lingam 29 2 0 13 Mar 2024
Koopman Ensembles for Probabilistic Time Series Forecasting Anthony Frion Lucas Drumetz Guillaume Tochon M. Dalla Mura Albdeldjalil Aissa El Bey AI4TS 19 0 0 11 Mar 2024
Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method Edoardo Caldarelli Antoine Chatalic Adria Colomé C. Molinari C. Ocampo‐Martinez Carme Torras Lorenzo Rosasco 30 0 0 05 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 32 6 0 04 Mar 2024
Glocal Hypergradient Estimation with Koopman Operator Ryuichiro Hataya Yoshinobu Kawahara 23 2 0 05 Feb 2024
Graph Koopman Autoencoder for Predictive Covert Communication Against UAV Surveillance S. Krishnan Jihong Park Gregory Sherman Benjamin Campbell Jinho D. Choi 6 2 0 23 Jan 2024
On the Convergence of Hermitian Dynamic Mode Decomposition Nicolas Boullé Matthew J. Colbrook 27 2 0 06 Jan 2024
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 29 1 0 15 Dec 2023
Dynamics Harmonic Analysis of Robotic Systems: Application in Data-Driven Koopman Modelling Daniel Felipe Ordoñez Apraez Vladimir Kostic Giulio Turrisi P. Novelli Carlos Mastalli Claudio Semini Massimiliano Pontil 27 2 0 12 Dec 2023
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 26 4 0 11 Dec 2023
Generative learning for nonlinear dynamics William Gilpin AI4CE PINN 60 24 0 07 Nov 2023
Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition Sathsara Dias Sudam Surasinghe K. Priyankara Marko Budivsić Larry Pratt J. Sánchez-Garrido Erik M.Bollt AI4CE 35 0 0 02 Nov 2023
Course Correcting Koopman Representations Mahan Fathi Clement Gehring Jonathan Pilault David Kanaa Pierre-Luc Bacon Ross Goroshin 27 1 0 23 Oct 2023
Personalized identification, prediction, and stimulation of neural oscillations via data-driven models of epileptic network dynamics T. Dubček Debora Ledergerber Jana Thomann Giovanna Aiello M. Serra-Garcia Lukas Imbach Rafael Polanía OOD 11 0 0 20 Oct 2023
Data driven modeling for self-similar dynamics Ruyi Tao Ningning Tao Yizhuang You Jiang Zhang 13 0 0 12 Oct 2023
Deep Ridgelet Transform: Voice with Koopman Operator Proves Universality of Formal Deep Networks Sho Sonoda Yuka Hashimoto Isao Ishikawa Masahiro Ikeda 11 3 0 05 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 11 18 0 04 Oct 2023
Stackelberg Game-Theoretic Trajectory Guidance for Multi-Robot Systems with Koopman Operator Yuhan Zhao Quanyan Zhu 11 2 0 28 Sep 2023
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics Patricio Vera Pedro Moya Lisa Barraza ELM 16 1 0 21 Sep 2023
Interpretable learning of effective dynamics for multiscale systems Emmanuel Menier Sebastian Kaltenbach Mouadh Yagoubi Marc Schoenauer P. Koumoutsakos AI4CE 20 6 0 11 Sep 2023
Neural Koopman prior for data assimilation Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS AI4CE 20 4 0 11 Sep 2023
Computationally Efficient Data-Driven Discovery and Linear Representation of Nonlinear Systems For Control Madhur Tiwari George Nehma Bethany Lusch 11 6 0 08 Sep 2023
Beyond expectations: Residual Dynamic Mode Decomposition and Variance for Stochastic Dynamical Systems Matthew J. Colbrook Qin Li Ryan V. Raut Alex Townsend 30 16 0 21 Aug 2023
Learning invariant representations of time-homogeneous stochastic dynamical systems Vladimir Kostic P. Novelli Riccardo Grazzi Karim Lounici Massimiliano Pontil 22 7 0 19 Jul 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 19 8 0 22 Jun 2023
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 21 3 0 20 Jun 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis Mitchell Ostrow Adam J. Eisen L. Kozachkov Ila Fiete 38 24 0 16 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 11 9 0 07 Jun 2023
Generalized Teacher Forcing for Learning Chaotic Dynamics Florian Hess Zahra Monfared Manuela Brenner Daniel Durstewitz AI4CE 22 30 0 07 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 28 101 0 30 May 2023
Neural Fourier Transform: A General Approach to Equivariant Representation Learning Masanori Koyama Kenji Fukumizu Kohei Hayashi Takeru Miyato 27 8 0 29 May 2023
Koopman Kernel Regression Petar Bevanda Maximilian Beier Armin Lederer Stefan Sosnowski Eyke Hüllermeier Sandra Hirche AI4TS 19 16 0 25 May 2023
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing King Fai Yeh Paris D. L. Flood William T. Redman Pietro Lio' 22 1 0 15 May 2023
Graph Neural Networks for Airfoil Design F. Bonnet AI4CE 25 0 0 09 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 11 3 0 05 May 2023
Controlled density transport using Perron Frobenius generators Jake Buzhardt Phanindra Tallapragada OT 16 3 0 26 Apr 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 15 24 0 19 Apr 2023
Autoregressive models for biomedical signal processing Jonas F. Haderlein A. Peterson A. Burkitt I. Mareels D. Grayden 11 0 0 17 Apr 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 19 21 0 30 Mar 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 29 20 0 30 Mar 2023