7 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence
Mingyu Kang, Duxin Chen, Ning Meng +2
Identifying vanilla Bayesian network to model spatial-temporal causality can be a critical yet challenging task. Different Markovian-equivalent directed acyclic graphs would be ide…
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…