most citedNumerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows

3 citations · 3 across the 2 of their papers we have counts for

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2 papers

math.NA2024★ 3 cited

Numerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows

Xinzhe Zuo, Jiaxi Zhao, Shu Liu +2

We provide a numerical analysis and computation of neural network projected schemes for approximating one dimensional Wasserstein gradient flows. We approximate the Lagrangian mapp…

math.PR2023

Scaling Limits of the Wasserstein information matrix on Gaussian Mixture Models

Wuchen Li, Jiaxi Zhao

We consider the Wasserstein metric on the Gaussian mixture models (GMMs), which is defined as the pullback of the full Wasserstein metric on the space of smooth probability distrib…