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Convergence Analysis for Over-Parameterized Deep Learning
27948 2069 Pages:71-103 -
Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
86027 4254 Pages:1746-1767 -
Multiscale Modeling and Simulations of Flows in Naturally Fractured Karst Reservoirs
38749 4602 Pages:162-184 -
Time Integration Schemes Based on Neural Networks for Solving Partial Differential Equations on Coarse Grids
15876 1169 Pages:1262-1306 -
Solving Allen-Cahn and Cahn-Hilliard Equations Using the Adaptive Physics Informed Neural Networks
59168 3906 Pages:930-954 -
A Rate of Convergence of Weak Adversarial Neural Networks for the Second Order Parabolic PDEs
35482 2884 Pages:813-836 -
Learning Specialized Activation Functions for Physics-Informed Neural Networks
34553 2896 Pages:869-906 -
Convergence Rate Analysis for Deep Ritz Method
58970 3389 Pages:1020-1048 -
Scale-Decomposed Physics-Informed Neural Networks for Singular Perturbation Problems
368 76 Pages:1267-1298 -
Asymptotic-Preserving Neural Networks for Multiscale Kinetic Equations
25337 2147 Pages:693-723 -
Transitions States of Stochastic Chemical Kinetic Systems
45399 3134 Pages:606-627 -
Deep Network Approximation Characterized by Number of Neurons
68957 3646 Pages:1768-1811 -
An Efficient Iterative Method for the Formulation of Flow Networks
49555 3371 Pages:1317-1340 -
Nonlinear Reduced DNN Models for State Estimation
42845 3718 Pages:1-40 -
Investigating and Mitigating Failure Modes in Physics-Informed Neural Networks (PINNs)
41665 2977 Pages:1240-1269 -
A Neural Particle Method with Interface Tracking and Adaptive Particle Refinement for Free Surface Flows
17729 1163 Pages:1021-1052 -
Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
12147 810 Pages:420-456