AI RESEARCH
Deep Learning Alternatives of the Kolmogorov Superposition Theorem
arXiv CS.LG
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ArXi:2410.01990v3 Announce Type: replace This paper explores alternative formulations of the Kolmogoro Superposition Theorem (KST) as a foundation for neural network design. The original KST formulation, while mathematically elegant, presents practical challenges due to its limited insight into the structure of inner and outer functions and the large number of unknown variables it