7 citations · 7 across the 3 of their papers we have counts for
4 papers
Constrained surrogates for arbitrary families of continuous probability distributions
Jack Murdoch Moore, Eduardo G Altmann
Empirical regularities described by parametrized families of probability distributions can shape how complex systems are interpreted and explained. A recurring problem is to determ…
Low-Dimensional Phase Diagram of Higher-Order Networked Systems
Jia-Jie Qin, Jack Murdoch Moore, Xiaozhu Zhang +1
Higher-order networks exhibit rich critical phenomena that cannot be captured by traditional pairwise models. Here, we develop an analytical dimension-reduction framework that maps…
Maintaining Adversarial Robustness in Continuous Learning
Xiaolei Ru, Xiaowei Cao, Zijia Liu +5
Adversarial robustness is essential for security and reliability of machine learning systems. However, adversarial robustness enhanced by defense algorithms is easily erased as the…
Non-parametric power-law surrogates
Jack Murdoch Moore, Gang Yan, Eduardo G. Altmann
Power-law distributions are essential in computational and statistical investigations of extreme events and complex systems. The usual technique to generate power-law distributed d…