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KGMM: A K-means clustering approach to Gaussian mixture modeling for score function estimation
We propose a hybrid method for accurately estimating the score function – the gradient of the logarithm of a system’s …
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Score-Based Generative Emulation of Impact-Relevant Earth System Model Outputs
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Learning Dissipation and Instability Fields from Chaotic Dynamics
This paper establishes a novel theoretical connection between the operator-theoretic description of a dynamical system and its local …
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Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling
We present a flexible data-driven framework for estimating the response of higher-order moments of nonlinear stochastic systems to …
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