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

  • 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

  • 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
    DOI: 10.1007/s00421-025-05800-7

  • Energy expenditure prediction in preschool children: a machine learning approach using accelerometry and external validation (2024)

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

    Published at: Physiological Measurement (Volume: 45)
    DOI: 10.1088/1361-6579/ad7ad2

  • Random Survival Forests With Competing Events: A Subdistribution-Based Imputation Approach (2024)

    Authors: Charlotte Behning, Alexander Bigerl, Marvin N. Wright, Peggy Sekula, Moritz Berger, Matthias Schmid

    Published at: Biometrical Journal (Volume: 66)
    DOI: 10.1002/bimj.202400014

  • Conditional feature importance for mixed data (2024)

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

    Published at: AStA Advances in Statistical Analysis (Volume: 108)
    DOI: 10.1007/s10182-023-00477-9

  • Interpreting Deep Neural Networks with the Package innsight (2024)

    Authors: Niklas Koenen, Marvin N. Wright

    Published at: Journal of Statistical Software (Volume: 111)
    DOI: 10.18637/jss.v111.i08

  • A discovery and verification approach to pharmacovigilance using electronic healthcare data (2024)

    Authors: Louis Dijkstra, Tania Schink, Roland Linder, Markus Schwaninger, Iris Pigeot, Marvin N. Wright, Ronja Foraita

    Published at: Frontiers in Pharmacology (Volume: 15)
    DOI: 10.3389/fphar.2024.1426323

  • arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests (2024)

    Authors: Kristin Blesch, Marvin N. Wright

    Published at: Journal of Open Research Software (Volume: 12)
    DOI: 10.5334/jors.492

  • CountARFactuals – Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests (2024)

    Authors: Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright

    Published at: Communications in Computer and Information Science (Volume: 2155 CCIS)
    DOI: 10.1007/978-3-031-63800-8_5