AI RESEARCH
Multigrade Neural Network Approximation
arXiv CS.LG
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ArXi:2601.16884v2 Announce Type: replace We study multigrade deep learning (MGDL) as a principled framework for structured error refinement in deep neural networks. While the approximation power of neural networks is now relatively well understood