2 papers
cs.LG2026
Layer-wise Geometric Approximation Rates for Deep Networks
Shijun Zhang, Zuowei Shen, Yuesheng Xu
Depth is widely viewed as a central contributor to the success of deep neural networks, whereas standard neural network approximation theory typically provides guarantees only for…
cs.LG2025
Why Shallow Networks Struggle to Approximate and Learn High Frequencies
Shijun Zhang, Hongkai Zhao, Yimin Zhong +1
In this work, we present a comprehensive study combining mathematical and computational analysis to explain why a two-layer neural network struggles to handle high frequencies in b…