Tingwei Meng
Tingwei Meng
PhD candidate, Department of Applied Mathematics, Brown University
Verified email at brown.edu - Homepage
Cited by
Cited by
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
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), 1-50, 2020
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
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
The theory of computational quasi-conformal geometry on point clouds
TW Meng, LM Lui
arXiv preprint arXiv:1510.05104, 2015
PCBC: quasiconformality of point cloud mappings
T Meng, LM Lui
Journal of Scientific Computing 77 (1), 597-633, 2018
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
arXiv preprint arXiv:2104.11285, 2021
Representing exact viscosity solutions to high dimensional Hamilton–Jacobi PDEs using neural network architectures
T Meng
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