Author

Shih Yi Tseng

Howard Hughes Medical Institute

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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

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

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2026-2026 · peak 1/yr

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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

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