2022
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
NeurIPS 2022accept
Discovering cause and effect variables from observational data is an important but challenging problem in science and engineering. In this work, a recently proposed brain inspired learning algorithm namely-\emph{Neurochaos Learning} (NL) is used for the classification of cause and effect time series…