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Convergence Analysis for Over-Parameterized Deep Learning
157 147 Pages:71-103 -
New Algebraic Fast Algorithms for $N$-Body Problems in Two and Three Dimensions
197 50 Pages:1157-1226 -
Correlation Functions, Universal Ratios and Goldstone Mode Singularities in $n$-Vector Models
42283 4010 Pages:1407-1430 -
A Decreasing Upper Bound of the Energy for Time-Fractional Phase-Field Equations
37859 2905 Pages:962-991 -
A New Function Space from Barron Class and Application to Neural Network Approximation
38648 3386 Pages:1361-1400 -
The Hyperbolic Schrödinger Equation and the Quantum Lattice Boltzmann Approximation
44414 3262 Pages:1341-1361 -
A Rate of Convergence of Physics Informed Neural Networks for the Linear Second Order Elliptic PDEs
51825 3084 Pages:1272-1295 -
VAE-KRnet and Its Applications to Variational Bayes
52156 3201 Pages:1049-1082 -
Shallow Water Moment Models for Bedload Transport Problems
49125 3178 Pages:903-941 -
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
62322 3419 Pages:2158-2179 -
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks
63549 3432 Pages:1838-1885 -
Finite Neuron Method and Convergence Analysis
70207 3742 Pages:1707-1745 -
Troubled-Cell Indicator Based on Mean Value Property for Hybrid WENO Schemes
49980 3295 Pages:949-975 -
Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems
70293 6736 Pages:1-32 -
An MRT Extension to the Multigrid Lattice Boltzmann Method
45365 3187 Pages:1178-1195 -
Moment Approximations and Model Cascades for Shallow Flow
48499 3460 Pages:669-702