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Wasserstein Residuals: Learning Gradient Flows from Population Dynamics

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Reconstructing population dynamics is a central problem in the physical and data sciences. Often, the dynamics are modeled as a Wasserstein gradient flow (WGF): a curve of distributions driven by an energy functional.

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arXiv Machine Learning
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