Alert button
Picture for Tingwei Meng

Tingwei Meng

Alert button

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

Add code
Bookmark button
Alert button
Nov 13, 2023
Paula Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

Viaarxiv icon

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

Add code
Bookmark button
Alert button
Aug 09, 2023
Liu Yang, Tingwei Meng, Siting Liu, Stanley J. Osher

Figure 1 for Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
Figure 2 for Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
Figure 3 for Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
Figure 4 for Prompting In-Context Operator Learning with Sensor Data, Equations, and Natural Language
Viaarxiv icon

In-Context Operator Learning for Differential Equation Problems

Add code
Bookmark button
Alert button
Apr 17, 2023
Liu Yang, Siting Liu, Tingwei Meng, Stanley J. Osher

Figure 1 for In-Context Operator Learning for Differential Equation Problems
Figure 2 for In-Context Operator Learning for Differential Equation Problems
Figure 3 for In-Context Operator Learning for Differential Equation Problems
Figure 4 for In-Context Operator Learning for Differential Equation Problems
Viaarxiv icon

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

Add code
Bookmark button
Alert button
Mar 22, 2023
Paula Chen, Tingwei Meng, Zongren Zou, Jérôme Darbon, George Em Karniadakis

Figure 1 for Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Figure 2 for Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Figure 3 for Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Figure 4 for Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems
Viaarxiv icon

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

Add code
Bookmark button
Alert button
Jan 14, 2022
Tingwei Meng, Zhen Zhang, Jérôme Darbon, George Em Karniadakis

Figure 1 for SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Figure 2 for SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Figure 3 for SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Figure 4 for SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems
Viaarxiv icon

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

Add code
Bookmark button
Alert button
May 28, 2021
Jérôme Darbon, Tingwei Meng, Elena Resmerita

Figure 1 for On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
Figure 2 for On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
Figure 3 for On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
Figure 4 for On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
Viaarxiv icon

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

Add code
Bookmark button
Alert button
May 07, 2021
Jérôme Darbon, Peter M. Dower, Tingwei Meng

Figure 1 for Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Figure 2 for Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Figure 3 for Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Figure 4 for Neural network architectures using min plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs
Viaarxiv icon

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

Add code
Bookmark button
Alert button
Apr 22, 2021
Jérôme Darbon, Gabriel P. Langlois, Tingwei Meng

Figure 1 for Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
Figure 2 for Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
Figure 3 for Connecting Hamilton--Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
Viaarxiv icon

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

Add code
Bookmark button
Alert button
Jan 17, 2021
Liu Yang, Tingwei Meng, George Em Karniadakis

Figure 1 for Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
Figure 2 for Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
Figure 3 for Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
Figure 4 for Measure-conditional Discriminator with Stationary Optimum for GANs and Statistical Distance Surrogates
Viaarxiv icon