Weinan E
Results
Journal Article
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
Communications in Computational Physics, Vol. 32 (2022), Iss. 2 : pp. 299–335
Journal Article
Machine Learning and Computational Mathematics
Communications in Computational Physics, Vol. 28 (2020), Iss. 5 : pp. 1639–1670
Journal Article
An $L^2$ Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation
CSIAM Transactions on Applied Mathematics, Vol. 3 (2022), Iss. 2 : pp. 191–220
Journal Article
On the Banach Spaces Associated with Multi-Layer ReLU Networks: Function Representation, Approximation Theory and Gradient Descent Dynamics
CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 3 : pp. 387–440
Journal Article
Towards a Mathematical Understanding of Neural Network-Based Machine Learning: What We Know and What We Don't
CSIAM Transactions on Applied Mathematics, Vol. 1 (2020), Iss. 4 : pp. 561–615
Journal Article
The Random Feature Method for Time-Dependent Problems
East Asian Journal on Applied Mathematics, Vol. 13 (2023), Iss. 3 : pp. 435–463
Journal Article
DeePN$^2$: A Deep Learning-Based Non-Newtonian Hydrodynamic Model
Journal of Machine Learning, Vol. 1 (2022), Iss. 1 : pp. 114–140
Journal Article
Bridging Traditional and Machine Learning-Based Algorithms for Solving PDEs: The Random Feature Method
Journal of Machine Learning, Vol. 1 (2022), Iss. 3 : pp. 268–298