72 citations · 116 across the 5 of their papers we have counts for
6 papers
Ordinal-pattern transition networks as a symbolic substrate for reservoir computing
Max Potratzki, Thomas G. de Jong, Michael Small +1
Reservoir computing has established itself as a computationally efficient alternative to fully trained recurrent neural networks using a fixed high-dimensional nonlinear substrate…
A simple model of global cascades on random hypergraphs
Lei Chen, Yanpeng Zhu, Jiadong Zhu +5
This study introduces a comprehensive framework that situates information cascades within the domain of higher-order interactions, utilizing a double-threshold hypergraph model. We…
Ordinal Poincaré Sections: Reconstructing the First Return Map from an Ordinal Segmentation of Time Series
Zahra Shahriari, Shannon Dee Algar, David M. Walker +1
We propose a robust and computationally efficient algorithm to generically construct first return maps of dynamical systems from time series without the need for embedding. Typical…
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology
Eugene Tan, Shannon Algar, Débora Corrêa +3
Delay embedding methods are a staple tool in the field of time series analysis and prediction. However, the selection of embedding parameters can have a big impact on the resulting…
Backpropagation on Dynamical Networks
Eugene Tan, Débora Corrêa, Thomas Stemler +1
Dynamical networks are versatile models that can describe a variety of behaviours such as synchronisation and feedback. However, applying these models in real world contexts is dif…
Fast Automatic Detection of Geological Boundaries from Multivariate Log Data Using Recurrence
Ayham Zaitouny, Michael Small, June Hill +2
Manual interpretation of data collected from drill holes for mineral or oil and gas exploration is time-consuming and subjective. Identification of geological boundaries and distin…