2 papers
cs.CV2024
Robust Network Learning via Inverse Scale Variational Sparsification
Zhiling Zhou, Zirui Liu, Chengming Xu +2
While neural networks have made significant strides in many AI tasks, they remain vulnerable to a range of noise types, including natural corruptions, adversarial noise, and low-re…
math.OC2024
Incremental Gauss--Newton Methods with Superlinear Convergence Rates
Zhiling Zhou, Zhuanghua Liu, Chengchang Liu +1
This paper addresses the challenge of solving large-scale nonlinear equations with Hölder continuous Jacobians. We introduce a novel Incremental Gauss--Newton (IGN) method within…