Author

Irene Tsapara

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Open access Aug 2026

Classical \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\textrm{SU}(2)$$\end{document} models match or exceed shallo

Quaternion-valued neural networks and variational quantum circuits (VQCs) both derive local transformations from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-6...

Christopher P. Fulton, Irene Tsapara, Lawrence V. Fulton · Quantum Machine Intelligence · 0 citations

#machine learning Preprint Dec 2025

Fractal and Chaotic Activation Functions in Echo State Networks: Preprocessing Topology Governs the Echo State Property

This work systematically investigates non-smooth activation functions, including chaotic, stochastic, and fractal variants, in echo state networks, and reveals that preprocessing topology, rather than continuity, determines stability: monotone, compressive preprocessing maintains ESP across scales, while dispersive or...

Rae Chipera, Jenny Q. Du, Irene Tsapara · 0 citations