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most citedScore-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems

2 citations · 3 across the 7 of their papers we have counts for

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math.OC2024★ 2 cited

Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems

Mo Zhou, Stanley Osher, Wuchen Li

Classical neural ordinary differential equations (ODEs) are powerful tools for approximating the log-density functions in high-dimensional spaces along trajectories, where neural n…

math.OC2024★ 1 cited

A deep learning algorithm for computing mean field control problems via forward-backward score dynamics

Mo Zhou, Stanley Osher, Wuchen Li

We propose a deep learning approach to compute mean field control problems with individual noises. The problem consists of the Fokker-Planck (FP) equation and the Hamilton-Jacobi-B…