:: Library Catalog

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Détails bibliographiques
Auteurs principaux:	Xu, Yuanchao, Li, Fengyi, Fujisawa, Masahiro, Cheng, Xiaoyuan, Marzouk, Youssef, Ishikawa, Isao
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Dynamical Systems
Accès en ligne:	https://arxiv.org/abs/2512.18837
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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Reinforced Data-Driven Estimation for Spectral Properties of Koopman Semigroup in Stochastic Dynamical Systems
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ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
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Why and When Deep is Better than Shallow: Implementation-Agnostic State-Transition Model of Deep Learning
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Koopman and Perron-Frobenius Operators on reproducing kernel Banach spaces
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A Data-Driven Framework for Koopman Semigroup Estimation in Stochastic Dynamical Systems
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Koopman operators with intrinsic observables in rigged reproducing kernel Hilbert spaces
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Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
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Deep Learning for Koopman Operator Estimation in Idealized Atmospheric Dynamics
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Leveraging KANs For Enhanced Deep Koopman Operator Discovery
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Mori-Zwanzig latent space Koopman closure for nonlinear autoencoder
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On Data-Driven Koopman Representations of Nonlinear Delay Differential Equations
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Equivariance and partial observations in Koopman operator theory for partial differential equations
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Theoretical Foundations of Deep Selective State-Space Models
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Data-driven Modeling of Granular Chains with Modern Koopman Theory
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