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20232026
most citedNumerical Analysis on Neural Network Projected Schemes for Approximating One Dimensional Wasserstein Gradient Flows

3 citations · 8 across the 17 of their papers we have counts for

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math.NA2023

Deep JKO: time-implicit particle methods for general nonlinear gradient flows

Wonjun Lee, Li Wang, Wuchen Li

We develop novel neural network-based implicit particle methods to compute high-dimensional Wasserstein-type gradient flows with linear and nonlinear mobility functions. The main i…

math.OC2023★ 3 cited

Primal-Dual Damping algorithms for optimization

X. Zuo, S. Osher, W. Li

We propose an unconstrained optimization method based on the well-known primal-dual hybrid gradient (PDHG) algorithm. We first formulate the optimality condition of the unconstrain…