2 papers
cs.LG2026
A Layer Separation Optimization Framework for Cross-Entropy Training in Deep Learning
Yaru Liu, Michael K. Ng, Yiqi Gu
This paper investigates the deep learning optimization problem with softmax cross-entropy loss. We propose a layer separation strategy to alleviate the strong nonconvexity encounte…
math.NA2026
General transformation neural networks: A class of parametrized functions for high-dimensional function approximation
Xiaoyang Wang, Yiqi Gu
We propose a novel class of neural network-like parametrized functions, i.e., general transformation neural networks (GTNNs), for high-dimensional approximation. Conventional deep…