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A Symplectic Based Neural Network Algorithm for Quantum Controls under Uncertainty
43541 3322 Pages:1525-1545 -
Loss Jump During Loss Switch in Solving PDEs with Neural Networks
146 60 Pages:1090-1112 -
Frame Invariance and Scalability of Neural Operators for Partial Differential Equations
303702 3397 Pages:336-363 -
Generalized Lagrangian Neural Networks
2615 132 Pages:59-77 -
A Network Based Approach for Unbalanced Optimal Transport on Surfaces
6018 382 Pages:661-683 -
High Order Deep Neural Network for Solving High Frequency Partial Differential Equations
46031 3436 Pages:370-397 -
A Neural Network Approach to Sampling Based Learning Control for Quantum System with Uncertainty
47116 3336 Pages:1453-1473 -
Convolution Neural Network Shock Detector for Numerical Solution of Conservation Laws
63767 3554 Pages:2075-2108 -
A New Function Space from Barron Class and Application to Neural Network Approximation
38648 3386 Pages:1361-1400 -
A Variational Neural Network Approach for Glacier Modelling with Nonlinear Rheology
30734 2548 Pages:934-954 -
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks
63549 3432 Pages:1838-1885 -
A Data-Driven Scale-Invariant Weighted Compact Nonlinear Scheme for Hyperbolic Conservation Laws
28295 2001 Pages:1120-1154 -
MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs
306975 3553 Pages:299-335 -
A Rate of Convergence of Physics Informed Neural Networks for the Linear Second Order Elliptic PDEs
51825 3084 Pages:1272-1295