Hybrid\(^2\) Neural ODE Causal Modeling and an Application to Glycemic Response
Hybrid\(^2\) Neural ODE Causal Modeling and an Application to Glycemic Response
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Hybrid models composing mechanistic ODE-based dynamics with flexible and expressive neural network components have grown rapidly in popularity, especially in scientific domains where such ODE-based modeling offers important interpretability and validated causal grounding (e.g., for counterfactual reasoning). The incorporation of mechanistic models...
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Hybrid\(^2\) Neural ODE Causal Modeling and an Application to Glycemic Response
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TN_cdi_proquest_journals_2932603355
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2932603355
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2331-8422
