Machine Learning

Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling
We present a novel data-driven framework for estimating the response of higher-order moments of nonlinear stochastic systems to small …
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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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