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Xiangting Li

An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks

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Jun 03, 2024
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Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models

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Feb 13, 2024
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Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations

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Jan 21, 2024
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A Spectral Approach for Learning Spatiotemporal Neural Differential Equations

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Sep 28, 2023
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