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Adaptive sampling methods for learning dynamical systemsZichen Zhao, Qianxiao LiLearning dynamical systems from observed trajectories is a fundamental p...
ADAPTIVE SAMPLING METHODS FOR LEARNING DYNAMICAL SYSTEMS systems modelling. In future work, we plan to study adaptive sampling algorithms for such dynam ...
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Adaptive sampling methods for learning dynamical systems · A Machine Learning Enhanced Algorithm for the Optimal Landing Problem · SHRIMP: Sparser Random Feature ...
Feb 1, 2023 · We perform dynamic selection of critical samples and develop an adaptive sampling-learning method for dynamical systems based on the ...
Jul 18, 2023 · Nonetheless, due to the complicated statistical behavior of highly dimensional dynamical systems, simplifying assumptions of varying strength ...
Adaptive sampling methods for learning dynamical systems · A Machine Learning Enhanced Algorithm for the Optimal Landing Problem · SHRIMP: Sparser Random Feature ...
Apr 9, 2024 · Abstract:The committor function is a central object for quantifying the transitions between metastable states of dynamical systems.
Next, two nonuniform residual-based adaptive sampling methods are proposed to enhance the accuracy and training efficiency of PINNs. ... dynamical systems. At ...