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

Statistical machine learning, explainable AI

  • Interpretable Machine Learning for Survival Analysis (2025)

    Authors: Sophie Hanna Langbein, Mateusz Krzyziński, Mikołaj Spytek, Hubert Baniecki, Przemysław Biecek, Marvin N. Wright

    Published at: Biometrical Journal (Volume: 67)
    DOI: 10.1002/bimj.70089

  • Cross-sectional study of health impairment related to post COVID-19 condition among participants of a large population-based cohort in Germany (2025)

    Authors: Sophie Diexer, Jonas Frost, Peter Ahnert, Till W. Baernighausen, Hermann Brenner, Julia Fricke, Sabine Gabrysch, Karin Halina Greiser, Volker Harth, Jana-Kristin Heise, Rudolf Kaaks, André Karch, Thomas Keil, Bianca Klee, Carolina J. Klett-Tammen, Lilian Krist, Benedikt M. J. Lampl, Michael F. Leitzmann, Wolfgang Lieb, Claudia Meinke-Franze, Karin B. Michels, Ilais Moreno Velásquez, Nadia Obi, Annette Peters, Laura R. Pfrommer, Tobias Pischon, Oliver Purschke, Nicole Rübsamen, Tamara Schikowski, Börge Schmidt, Sigrid Thierry, Henry Völzke, Marvin N Wright, Hajo Zeeb, Rafael Mikolajczyk

    Published at: Scientific Reports (Volume: 15)
    DOI: 10.1038/s41598-025-07894-7

  • Evaluating machine learning approaches to predict the energy expenditure of cross-national preschool children: a study of preprocessing and feature effects (2025)

    Authors: Hannah J. Coyle-Asbil, Mirko Brandes, Berit Brandes, Christoph Buck, Marvin N. Wright, Lori Ann Vallis

    Published at: European Journal of Applied Physiology (Volume: 125)
    DOI: 10.1007/s00421-025-05800-7

  • Mediterranean diet and obesity polygenic risk interaction on adiposity in European children: The IDEFICS/I.Family Study (2025)

    Authors: Miguel Seral-Cortes, Gabin Drouard, Guiomar Masip, Leonie H. Bogl, Stefaan De Henauw, Ronja Foraita, Timm Intemann, Lauren Lissner, Denes Molnar, Rajini Nagrani, Valeria Pala, Catalina Picó, Paola Russo, Gianluca Tognon, Michael Tornaritis, Toomas Veidebaum, Marvin N. Wright, Pilar De Miguel-Etayo, Luis A. Moreno, Idoia Labayen

    Published at: Pediatric Obesity (Volume: 20)
    DOI: 10.1111/ijpo.70023

  • Explaining Multimodal Features for Screening of Cognitive Impairment Using Shapley Values (2025)

    Authors: Elisa Brause, Niklas Koenen, Marvin N. Wright, Tanja Schultz

    Published at: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference (Volume: 2025)
    DOI: 10.1109/EMBC58623.2025.11251859

  • Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests (2025)

    Authors: Kristin Blesch, Niklas Koenen, Jan Kapar, Pegah Golchian, Lukas Burk, Markus Loecher, Marvin N. Wright

    Published at: Proceedings of the Aaai Conference on Artificial Intelligence (Volume: 39)
    DOI: 10.1609/aaai.v39i15.33712

  • High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression (2025)

    Authors: Lukas Burk, Andreas Bender, Marvin N. Wright

    Published at: Biometrical Journal (Volume: 67)
    DOI: 10.1002/bimj.70036

  • Gradient-based Explanations for Deep Learning Survival Models (2025)

    Authors: Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright

    Published at: Proceedings of Machine Learning Research (Volume: 267)

  • New analytical approaches to life course epidemiology (2025)

    Authors: Claudia Börnhorst, Marvin N. Wright, Vanessa Didelez

    Published at: A Life Course Approach to the Epidemiology of Chronic Diseases and Ageing Third Edition
    DOI: 10.1093/oso/9780198895961.003.0005

  • Fast Estimation of Partial Dependence Functions using Trees (2025)

    Authors: Jinyang Liu, Tessa Steensgaard, Marvin Wright, Niklas Pfister, Munir Hiabu

    Published at: Proceedings of Machine Learning Research (Volume: 267)