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  1. Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks

    2024 · arXiv (Cornell University)

    Recent studies show that a reproducing kernel Hilbert space (RKHS) is not a suitable space to model functions by neural networks as the curse of dimensionality (CoD) cannot be evaded when trying to approximate even …