Tingwei Meng

According to our database, Tingwei Meng authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging Multitime Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.

Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

SIAM J. Sci. Comput., 2024

Leveraging Viscous Hamilton-Jacobi PDEs for Uncertainty Quantification in Scientific Machine Learning.

Zongren Zou, Tingwei Meng, Paula X. Chen, Jérôme Darbon, George Em Karniadakis

SIAM/ASA J. Uncertain. Quantification, 2024

HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models.

Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

CoRR, 2024

A Primal-dual hybrid gradient method for solving optimal control problems and the corresponding Hamilton-Jacobi PDEs.

Tingwei Meng, Siting Liu, Wuchen Li, Stanley J. Osher

CoRR, 2024

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

Paula X. Chen, Jérôme Darbon, Tingwei Meng

Comput. Math. Appl., 2024

Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning.

Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

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

Math. Control. Signals Syst., March, 2023

Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations.

Tingwei Meng, Wenbo Hao, Siting Liu, Stanley J. Osher, Wuchen Li

CoRR, 2023

Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language.

Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher

CoRR, 2023

In-Context Operator Learning for Differential Equation Problems.

Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher

CoRR, 2023

Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.

Paula X. Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

CoRR, 2023

2022

SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems.

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George E. Karniadakis

SIAM J. Sci. Comput., 2022

On Hamilton-Jacobi PDEs and Image Denoising Models with Certain Nonadditive Noise.

Jérôme Darbon, Tingwei Meng, Elena Resmerita

J. Math. Imaging Vis., 2022

SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems.

Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis

CoRR, 2022

2021

On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton-Jacobi partial differential equations.

Jérôme Darbon, Tingwei Meng

J. Comput. Phys., 2021

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

Jérôme Darbon, Tingwei Meng, Elena Resmerita

CoRR, 2021

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

Jérôme Darbon, Gabriel Provencher Langlois, Tingwei Meng

CoRR, 2021

Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates.

Liu Yang, Tingwei Meng, George Em Karniadakis

CoRR, 2021

2020

On Decomposition Models in Imaging Sciences and Multi-time Hamilton-Jacobi Partial Differential Equations.

Jérôme Darbon, Tingwei Meng

SIAM J. Imaging Sci., 2020