Author

Andrei V Semenov

St Petersburg University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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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

Cameron SmithiD· 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

Cameron SmithORCID

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1 paper

Recent·Most cited

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

Joseph C. Park, Cameron Smith, Shih Yi Tseng, Jennifer A. Guidera, Andrei V Semenov, Stanislav K. Smirnov, Loren M. Frank, 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.

bioRxiv · May 14, 2026 · PreprintNeuroscience