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20192024
most citedIn-Context Operator Learning with Data Prompts for Differential Equation Problems

52 citations · 66 across the 8 of their papers we have counts for

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Showing 2021 · math.OCShow all

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math.OC2021

Hopf-type representation formulas and efficient algorithms for certain high-dimensional optimal control problems

Paula Chen, Jérôme Darbon, Tingwei Meng

Two key challenges in optimal control include efficiently solving high-dimensional problems and handling optimal control problems with state-dependent running costs. In this paper,…

math.OC2021

Lax-Oleinik-type formulas and efficient algorithms for certain high-dimensional optimal control problems

Paula Chen, Jérôme Darbon, Tingwei Meng

Two of the main challenges in optimal control are solving problems with state-dependent running costs and developing efficient numerical solvers that are computationally tractable…

math.OC2021

On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise

Jérôme Darbon, Tingwei Meng, Elena Resmerita

We consider image denoising problems formulated as variational problems. It is known that Hamilton-Jacobi PDEs govern the solution of such optimization problems when the noise mode…

math.OC2021

Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs

Jérôme Darbon, Peter M. Dower, Tingwei Meng

Solving high dimensional optimal control problems and corresponding Hamilton-Jacobi PDEs are important but challenging problems in control engineering. In this paper, we propose tw…

math.OC2021

Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors

Jérôme Darbon, Gabriel P. Langlois, Tingwei Meng

Many imaging problems can be formulated as inverse problems expressed as finite-dimensional optimization problems. These optimization problems generally consist of minimizing the s…