2 papers
math.OC2026
Feature Learning for the High Dimensional Stationary Schödinger Equation with Deep Ritz Method
Yao Yao, Yulong Lu, Gilad Lerman
This paper investigates feature learning within the framework of the deep Ritz method for solving the stationary Schrödinger equation with Neumann boundary conditions. We first ana…
cs.LG2020
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method
Chenguang Zhang, Yuexian Hou, Dawei Song +2
Although the deep structure guarantees the powerful expressivity of deep networks (DNNs), it also triggers serious overfitting problem. To improve the generalization capacity of DN…