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MFPC-Net: Multi-Fidelity Physics-Constrained Neural Process
39954 3700 Pages:715-739 -
Phase Diagram of Initial Condensation for Two-Layer Neural Networks
23866 1689 Pages:448-514 -
Understanding the Initial Condensation of Convolutional Neural Networks
8533 618 Pages:272-319 -
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
293310 3110 Pages:692-760 -
Theory of the Frequency Principle for General Deep Neural Networks
44807 3700 Pages:484-507 -
Model Meets Deep Learning in Image Inverse Problems
44341 4161 Pages:365-386 -
Enforcing Exact Boundary and Initial Conditions in the Deep Mixed Residual Method
40873 3466 Pages:748-775 -
Implicit Bias in Understanding Deep Learning for Solving PDEs Beyond Ritz-Galerkin Method
38441 3285 Pages:299-317
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