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Using model complexity to select the optimum architecture for artificial neural networks

U. Khan, M. Höge, E. Snieder, R. Shakir, and W. Nowak. 20th EGU General Assembly, EGU2018, page 17908. Smithsonian Astrophysical Observatory, (2018)

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Marvin Sontheimer University of Stuttgart

Analysis of sparse-Lagrangian two-phase coupling using direct numerical simulationM. Sontheimer. Universität Stuttgart, Stuttgart, Dissertation, (2024)

Marvin Ravan University of Stuttgart

Marvin Blessing University of Stuttgart

Marvin Wyrich University of Stuttgart

Marvin Oßkopp University of Stuttgart

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Using model complexity to select the optimum architecture for artificial neural networksU. Khan, M. Höge, E. Snieder, R. Shakir, and W. Nowak. 20th EGU General Assembly, EGU2018, page 17908. Smithsonian Astrophysical Observatory, (2018)Diagnosing similarities in probabilistic multi-model ensembles : an application to soil–plant-growth-modelingA. Schäfer Rodrigues Silva, T. Weber, S. Gayler, A. Guthke, M. Höge, W. Nowak, and T. Streck. Modeling earth systems and environment, 8 (4): 5143-5175 (2022)Bayesian multi-model frameworks - Properly Addressing Conceptual Uncertainty in Applied ModellingM. Höge. Universität Tübingen, Tübingen, Germany, Doctoral dissertation, (2019)The hydrologist's guide to Bayesian model selection, averaging and combinationM. Höge, A. Guthke, and W. Nowak. Journal of Hydrology, (2019)Bayesian model evidence as a model evaluation metricA. Guthke, M. Höge, and W. Nowak. 19th EGU General Assembly, EGU2017, page 13390. Smithsonian Astrophysical Observatory, (2017)Bayesian Multi-Model Frameworks : Properly Addressing Conceptual Uncertainty in Applied ModellingM. Höge. Universität Tübingen, Tübingen, Dissertation, (2019)How model selection and averaging strategies help us improve hydrological modelsA. Guthke, M. Höge, and W. Nowak. 20th EGU General Assembly, EGU2018, page 12797. Smithsonian Astrophysical Observatory, (2018)Strategies for Simplifying Reactive Transport Models : A Bayesian Model ComparisonA. Schäfer Rodrigues Silva, A. Guthke, M. Höge, O. Cirpka, and W. Nowak. Water resources research, 56 (11): e2020WR028100 (2020)Exploratory-Phase-Free Estimation of GP Hyperparameters in Sequential Design Methods : at the Example of Bayesian Inverse ProblemsM. Sinsbeck, M. Höge, and W. Nowak. Frontiers in Artificial Intelligence : AI in Food, Agriculture and Water, (2020)A Primer for Model Selection: The Decisive Role of Model ComplexityM. Höge, T. Wöhling, and W. Nowak. Water resources research, 54 (3): 1688-1715 (2018)