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MFPC-Net: Multi-Fidelity Physics-Constrained Neural Process
39959 3706 Pages:715-739 -
Phase Diagram of Initial Condensation for Two-Layer Neural Networks
23878 1696 Pages:448-514 -
Understanding the Initial Condensation of Convolutional Neural Networks
8538 624 Pages:272-319 -
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
293315 3114 Pages:692-760 -
Theory of the Frequency Principle for General Deep Neural Networks
44813 3708 Pages:484-507 -
Model Meets Deep Learning in Image Inverse Problems
44345 4166 Pages:365-386 -
Enforcing Exact Boundary and Initial Conditions in the Deep Mixed Residual Method
40876 3472 Pages:748-775 -
Implicit Bias in Understanding Deep Learning for Solving PDEs Beyond Ritz-Galerkin Method
38447 3288 Pages:299-317
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