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20182024
most citedIn-Context Operator Learning with Data Prompts for Differential Equation Problems

52 citations · 143 across the 30 of their papers we have counts for

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Showing 2022 · math.OCShow all

5 papers · 2 filters

math.OC2022

Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO Scheme

Alexander Vidal, Samy Wu Fung, Luis Tenorio +2

A normalizing flow (NF) is a mapping that transforms a chosen probability distribution to a normal distribution. Such flows are a common technique used for data generation and dens…

math.OC2022★ 12 cited

Computational Mean-field Games on Manifolds

Jiajia Yu, Rongjie Lai, Wuchen Li +1

Conventional Mean-field games/control study the behavior of a large number of rational agents moving in the Euclidean spaces. In this work, we explore the mean-field games on Riema…

math.OC2022

Neural ODE Control for Trajectory Approximation of Continuity Equation

Karthik Elamvazhuthi, Bahman Gharesifard, Andrea Bertozzi +1

We consider the controllability problem for the continuity equation, corresponding to neural ordinary differential equations (ODEs), which describes how a probability measure is pu…

math.OC2022★ 9 cited

Controlling conservation laws II: compressible Navier-Stokes equations

Wuchen Li, Siting Liu, Stanley Osher

We propose, study, and compute solutions to a class of optimal control problems for hyperbolic systems of conservation laws and their viscous regularization. We take barotropic com…

math.OC2022

Global Solutions to Nonconvex Problems by Evolution of Hamilton-Jacobi PDEs

Howard Heaton, Samy Wu Fung, Stanley Osher

Computing tasks may often be posed as optimization problems. The objective functions for real-world scenarios are often nonconvex and/or nondifferentiable. State-of-the-art methods…