Author

Cameron Smith

University of Southern CaliforniaORCID 0000-0003-0020-5607Unclaimed ORCID profile · follow to get notified of new preprints

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Cameron Smith4 papers · Baylor College of Medicine

Biology Disciplines

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrei V Semenov· 1 shared Gerald M. PaoiD· 1 shared Jennifer A. GuideraiD· 1 shared Joseph C. ParkiD· 1 shared Loren M. FrankiD· 1 shared Shih Yi Tseng· 1 shared Stanislav K. Smirnov· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Andrei V Semenov

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintMay 14, 2026

Explainable prediction and simulation of complex system dynamics through networks of manifolds

Joseph C. Park, Cameron Smith, Shih Yi Tseng…·Gerald M. Pao

This paper introduces Generative Manifold Networks (GMNs) for modeling complex system dynamics, demonstrating their ability to predict and simulate chaotic and neural dynamics with explainability.

DOI 10.64898/2026.05.12.724527

machine learning (classical)statistical model

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