Learning Stable Koopman Embeddings

Learning Stable Koopman Embeddings

13 October 2021

Papers citing "Learning Stable Koopman Embeddings"

19 / 19 papers shown

Title
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 51 0 0 17 Mar 2025
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups Vladimir Kostic Karim Lounici Helene Halconruy Timothée Devergne P. Novelli Massimiliano Pontil 31 0 0 18 Oct 2024
Koopman Operators in Robot Learning Lu Shi Masih Haseli Giorgos Mamakoukas Daniel Bruder Ian Abraham Todd D. Murphey Jorge Cortes Konstantinos Karydis AI4CE 25 7 0 08 Aug 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes Vladimir Kostic Karim Lounici Helene Halconruy Timothée Devergne Massimiliano Pontil DiffM 35 4 0 21 May 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe A. Davydov Deniz Lapsekili Ambuj K. Singh Francesco Bullo 27 2 0 12 Feb 2024
Consistent Long-Term Forecasting of Ergodic Dynamical Systems Prune Inzerilli Vladimir Kostic Karim Lounici P. Novelli Massimiliano Pontil 10 4 0 20 Dec 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
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
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 31 3 0 20 Jun 2023
Simultaneous Position-and-Stiffness Control of Underactuated Antagonistic Tendon-Driven Continuum Robots Bowen Yi Yeman Fan Dikai Liu J. G. Romero 11 2 0 06 Jun 2023
Koopman Kernel Regression Petar Bevanda Maximilian Beier Armin Lederer Stefan Sosnowski Eyke Hüllermeier Sandra Hirche AI4TS 24 16 0 25 May 2023
Data-Driven Encoding: A New Numerical Method for Computation of the Koopman Operator Jerry Ng H. Asada 33 4 0 16 Jan 2023
Learned Lifted Linearization Applied to Unstable Dynamic Systems Enabled by Koopman Direct Encoding Jerry Ng H. Asada 34 2 0 24 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 36 23 0 07 Oct 2022
Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition Masih Haseli Jorge Cortes 9 15 0 15 Jul 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces Vladimir Kostic P. Novelli Andreas Maurer C. Ciliberto Lorenzo Rosasco Massimiliano Pontil 18 60 0 27 May 2022
Neural Koopman Lyapunov Control Vrushabh Zinage E. Bakolas 22 28 0 13 Jan 2022
Data-driven modelling of nonlinear dynamics by barycentric coordinates and memory Niklas Wulkow P. Koltai V. Sunkara Christof Schütte 29 3 0 13 Dec 2021
Diffeomorphically Learning Stable Koopman Operators Petar Bevanda Maximilian Beier Sebastian Kerz Armin Lederer Stefan Sosnowski Sandra Hirche 27 21 0 08 Dec 2021