Marvin Wright

Marvin Wright

wright@leibniz-bips.de
Institution: Leibniz Institute for Prevention Research and Epidemiology - BIPS / University of Bremen
Department: Emmy Noether Junior Research Group "Beyond Prediction - Statistical Inference with Machine Learning"
Position: Group Leader
https://www.bips-institut.de/en/the-institute/departments/biometry-and-data-management/emmy-noether-junior-research-group-beyond-prediction-statistical-inference-with-machine-learning.html

Statistical machine learning, explainable AI

  • Genetic associations vary across the spectrum of fasting serum insulin: results from the European IDEFICS/I.Family children’s cohort (2023)

    Authors: Kirsten Mehlig, Ronja Foraita, Rajini Nagrani, Marvin N. Wright, Stefaan De Henauw, Dénes Molnár, Luis A. Moreno, Paola Russo, Michael Tornaritis, Toomas Veidebaum, Lauren Lissner, Jaakko Kaprio, Iris Pigeot

    Published at: Diabetologia (Volume: 66)
    DOI: 10.1007/s00125-023-05957-w

  • Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process (2023)

    Authors: Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl

    Published at: Communications in Computer and Information Science (Volume: 1901 CCIS)
    DOI: 10.1007/978-3-031-44064-9_24

  • Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values (2023)

    Authors: Kristin Blesch, Marvin N. Wright, David Watson

    Published at: Communications in Computer and Information Science (Volume: 1901 CCIS)
    DOI: 10.1007/978-3-031-44064-9_8

  • Adversarial Random Forests for Density Estimation and Generative Modeling (2023)

    Authors: David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright

    Published at: Proceedings of Machine Learning Research (Volume: 206)

  • Unifying local and global model explanations by functional decomposition of low dimensional structures (2023)

    Authors: Munir Hiabu, Joseph T. Meyer, Marvin N. Wright

    Published at: Proceedings of Machine Learning Research (Volume: 206)

  • Conditional feature importance for mixed data (2023)

    Authors: Kristin Blesch, David S. Watson, Marvin N. Wright

    Published at: AStA Advances in Statistical Analysis
    DOI: 10.1007/s10182-023-00477-9

  • Are SHAP Values Biased Towards High-Entropy Features? (2023)

    Authors: Raphael Baudeu, Marvin N. Wright, Markus Loecher

    Published at: Communications in Computer and Information Science (Volume: 1752 CCIS)
    DOI: 10.1007/978-3-031-23618-1_28

  • Special issue: Artificial intelligence in genomics (2022)

    Authors: Anne-Laure Boulesteix, Marvin Wright

    Published at: Human Genetics (Volume: 141)
    DOI: 10.1007/s00439-022-02472-7

  • Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning (2022)

    Authors: Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, Leandro Parente, Marvin N. Wright, Martin Herold, Sytze de Bruin

    Published at: PeerJ (Volume: 10)
    DOI: 10.7717/peerj.13728

  • Personalised need of care in an ageing society: The making of a prediction tool based on register data (2021)

    Authors: Marvin N. Wright, Sasmita Kusumastuti, Laust H. Mortensen, Rudi G. J. Westendorp, Thomas A. Gerds

    Published at: Journal of the Royal Statistical Society. Series A: Statistics in Society (Volume: 184)
    DOI: 10.1111/rssa.12644