Robuta

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