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MFPC-Net: Multi-Fidelity Physics-Constrained Neural Process
39725 3601 Pages:715-739 -
Phase Diagram of Initial Condensation for Two-Layer Neural Networks
23557 1612 Pages:448-514 -
Understanding the Initial Condensation of Convolutional Neural Networks
8142 512 Pages:272-319 -
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
293075 3027 Pages:692-760 -
Theory of the Frequency Principle for General Deep Neural Networks
44541 3626 Pages:484-507 -
Model Meets Deep Learning in Image Inverse Problems
44091 4031 Pages:365-386 -
Enforcing Exact Boundary and Initial Conditions in the Deep Mixed Residual Method
40648 3379 Pages:748-775 -
Implicit Bias in Understanding Deep Learning for Solving PDEs Beyond Ritz-Galerkin Method
38201 3221 Pages:299-317
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