arXiv stat.ML
· Papers
Function-Counting Theory for Low-Dimensional Data Structures
arXiv:2607.01010v1 Announce Type: new Abstract: The success of deep learning models in classification and regression is widely attributed to the low-dimensional structure that real-world data tend to exhibit, despite their high-dimensional representation. This work attempts to provide a mathematical framework for binar