Author

Zachary Zdobinski

Carnegie Mellon University

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

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Ariel K. FeldmaniD· 1 shared Douglas J. WeberiD· 1 shared Inseung KangiD· 1 shared Kriti KackeriD· 1 shared Lauren R. ParolaiD· 1 shared Serhii BahdasariantsiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Ariel K. FeldmanORCID

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1 paper

Recent·Most cited

Appellian Neural Networks

Serhii Bahdasariants, Lauren R. Parola, Kriti Kacker, Ariel K. Feldman, Zachary Zdobinski, Inseung Kang, Douglas J. Weber

The paper introduces ANNet, a physics-informed neural network that unifies inverse and forward dynamics computations using a shared learned representation based on Appell's acceleration energy.

bioRxiv · Jun 8, 2026 · PreprintNeuroscience