Data-driven, variational model reduction of high-dimensional reaction networks
MA Katsoulakis, P Vilanova - Journal of Computational Physics, 2020 - Elsevier
In this work we present new scalable, information theory-based variational methods for the
efficient model reduction of high-dimensional deterministic and stochastic reaction networks …
efficient model reduction of high-dimensional deterministic and stochastic reaction networks …
Information-based Variational Model Reduction of high-dimensional Reaction Networks
MA Katsoulakis, P Vilanova - arXiv preprint arXiv:1807.05319, 2018 - arxiv.org
In this work we present new scalable, information theory-based variational methods for the
efficient model reduction of high-dimensional deterministic and stochastic reaction networks …
efficient model reduction of high-dimensional deterministic and stochastic reaction networks …