https://openreview.net/forum?id=Xg1BGlybfq
SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting | OpenReview
Koopman operator theory provides a framework for nonlinear dynamical system analysis and time-series forecasting by mapping dynamics to a space of real-valued...
time series forecastingkoopman operatorstructuredlinear
https://openreview.net/forum?id=oeIr0pv-sMw
Hamiltonian Neural Koopman Operator | OpenReview
We propose a novel framework based on Koopman theory and neural networks to robustly learning Hamiltonian dynamics from noise perturbed data.
koopman operatorhamiltonianneuralopenreview
https://arxiv.org/abs/2504.11643
[2504.11643] The Distributional Koopman Operator for Random Dynamical Systems
Abstract page for arXiv paper 2504.11643: The Distributional Koopman Operator for Random Dynamical Systems
koopman operator250411643distributionalrandom
https://www.mcgill.ca/cim/channels/event/data-driven-modelling-and-control-koopman-operator-336538
Data-Driven Modelling and Control with the Koopman Operator | Centre for Intelligent Machines -...
Centre for Intelligent Machines and REPARTI Seminar Speaker: Steven Dahdah, Ph.D student, McGill University Zoom Link Meeting ID: 851 5324 8016 Passcode:...
https://arxiv.org/abs/2504.15451
[2504.15451] The Dirac operator for the Ruelle-Koopman pair on L^p-spaces: an interplay between...
Abstract page for arXiv paper 2504.15451: The Dirac operator for the Ruelle-Koopman pair on L^p-spaces: an interplay between Connes distance and symbolic...
https://arxiv.org/abs/2411.12940v2
[2411.12940v2] On the relationship between Koopman operator approximations and neural ordinary...
Abstract page for arXiv paper 2411.12940v2: On the relationship between Koopman operator approximations and neural ordinary differential equations for...
on the