3 papers
cs.IT2025
Generalized Derangetropy Functionals for Modeling Cyclical Information Flow
Masoud Ataei, Xiaogang Wang
This paper introduces a framework for modeling cyclical and feedback-driven information flow through a generalized family of entropy-modulated transformations called derangetropy f…
cs.LG2025
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform
Masoud Ataei, Xiaogang Wang
We propose an efficient and interpretable neural network with a novel activation function called the weighted Lehmer transform. This new activation function enables adaptive featur…
cs.IT2024
Derangetropy in Probability Distributions and Information Dynamics
Masoud Ataei, Xiaogang Wang
We introduce derangetropy, a novel functional measure designed to characterize the dynamics of information within probability distributions. Unlike scalar measures such as Shannon…