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Tingwei Meng
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Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures
J Darbon, GP Langlois, T Meng
Research in the Mathematical Sciences 7 (3), 20, 2020
1342020
Tempo: feature-endowed Teichmuller extremal mappings of point clouds
TW Meng, GPT Choi, LM Lui
SIAM Journal on Imaging Sciences 9 (4), 1922-1962, 2016
792016
On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations
J Darbon, T Meng
Journal of Computational Physics 425, 109907, 2021
682021
In-context operator learning with data prompts for differential equation problems
L Yang, S Liu, T Meng, SJ Osher
Proceedings of the National Academy of Sciences 120 (39), e2310142120, 2023
452023
Neural network architectures using min-plus algebra for solving certain high-dimensional optimal control problems and Hamilton–Jacobi PDEs
J Darbon, PM Dower, T Meng
Mathematics of Control, Signals, and Systems 35 (1), 1-44, 2023
242023
On decomposition models in imaging sciences and multi-time Hamilton--Jacobi partial differential equations
J Darbon, T Meng
SIAM Journal on Imaging Sciences 13 (2), 971-1014, 2020
242020
Sympocnet: Solving optimal control problems with applications to high-dimensional multiagent path planning problems
T Meng, Z Zhang, J Darbon, G Karniadakis
SIAM Journal on Scientific Computing 44 (6), B1341-B1368, 2022
212022
Prompting in-context operator learning with sensor data, equations, and natural language
L Yang, T Meng, S Liu, SJ Osher
arXiv preprint arXiv:2308.05061, 2023
19*2023
Leveraging multitime Hamilton–Jacobi PDEs for certain scientific machine learning problems
P Chen, T Meng, Z Zou, J Darbon, GE Karniadakis
SIAM Journal on Scientific Computing 46 (2), C216-C248, 2024
122024
On Hamilton–Jacobi PDEs and image denoising models with certain nonadditive noise
J Darbon, T Meng, E Resmerita
Journal of Mathematical Imaging and Vision 64 (4), 408-441, 2022
112022
Lax-Oleinik-type formulas and efficient algorithms for certain high-dimensional optimal control problems
P Chen, J Darbon, T Meng
Communications on Applied Mathematics and Computation 6 (2), 1428-1471, 2024
102024
In-context operator learning for differential equation problems
L Yang, S Liu, T Meng, SJ Osher
arXiv e-prints, arXiv: 2304.07993, 2023
102023
Hopf-type representation formulas and efficient algorithms for certain high-dimensional optimal control problems
P Chen, J Darbon, T Meng
Computers & Mathematics with Applications 161, 90-120, 2024
92024
Leveraging viscous Hamilton–Jacobi PDEs for uncertainty quantification in scientific machine learning
Z Zou, T Meng, P Chen, J Darbon, GE Karniadakis
SIAM/ASA Journal on Uncertainty Quantification 12 (4), 1165-1191, 2024
72024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning
P Chen, T Meng, Z Zou, J Darbon, GE Karniadakis
6th Annual Learning for Dynamics & Control Conference, 1-12, 2024
72024
Primal-dual hybrid gradient algorithms for computing time-implicit Hamilton-Jacobi equations
T Meng, W Hao, S Liu, SJ Osher, W Li
arXiv preprint arXiv:2310.01605, 2023
62023
PCBC: Quasiconformality of point cloud mappings
T Meng, LM Lui
Journal of Scientific Computing 77, 597-633, 2018
52018
Connecting Hamilton-Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors
J Darbon, GP Langlois, T Meng
Handbook of Mathematical Models and Algorithms in Computer Vision and …, 2021
42021
The theory of computational quasi-conformal geometry on point clouds
TW Meng, LM Lui
arXiv preprint arXiv:1510.05104, 2015
42015
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models
T Meng, Z Zou, J Darbon, GE Karniadakis
arXiv preprint arXiv:2409.09614, 2024
22024
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