Marvin N. Wright

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Feature Importance

Top Venues

Publications

Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR (2024)
Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
Interpretable Machine Learning for Survival Analysis. CoRR (2024)
Lukas Burk, John Zobolas, Bernd Bischl, Andreas Bender, Marvin N. Wright, Raphael Sonabend
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data. CoRR (2024)
Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
A Guide to Feature Importance Methods for Scientific Inference. CoRR (2024)
Niklas Koenen, Marvin N. Wright
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution. CoRR (2024)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. CoRR (2023)
Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) (2023)
Niklas Koenen, Marvin N. Wright
Interpreting Deep Neural Networks with the Package innsight. CoRR (2023)
Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
survex: an R package for explaining machine learning survival models. Bioinform. 39 (12) (2023)
Kristin Blesch, Marvin N. Wright, David S. Watson
Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values. xAI (1) (2023)
Kristin Blesch, Marvin N. Wright
arfpy: A python package for density estimation and generative modeling with adversarial random forests. CoRR (2023)
David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
Adversarial Random Forests for Density Estimation and Generative Modeling. AISTATS (2023)
Munir Hiabu, Joseph T. Meyer, Marvin N. Wright
Unifying local and global model explanations by functional decomposition of low dimensional structures. AISTATS (2023)
Raphael Baudeu, Marvin N. Wright, Markus Loecher
Are SHAP Values Biased Towards High-Entropy Features? PKDD/ECML Workshops (1) (2022)
David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
Smooth densities and generative modeling with unsupervised random forests. CoRR (2022)
Kristin Blesch, David S. Watson, Marvin N. Wright
Conditional Feature Importance for Mixed Data. CoRR (2022)
Munir Hiabu, Joseph T. Meyer, Marvin N. Wright
Unifying local and global model explanations by functional decomposition of low dimensional structures. CoRR (2022)
Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann
Generalization of the Change of Variables Formula with Applications to Residual Flows. CoRR (2021)
Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. CoRR (2021)
David S. Watson, Marvin N. Wright
Testing conditional independence in supervised learning algorithms. Mach. Learn. 110 (8) (2021)
Matthias Schmid, Thomas Welchowski, Marvin N. Wright, Moritz Berger
Discrete-time survival forests with Hellinger distance decision trees. Data Min. Knowl. Discov. 34 (3) (2020)
Philipp Probst, Marvin N. Wright, Anne-Laure Boulesteix
Hyperparameters and tuning strategies for random forest. WIREs Data Mining Knowl. Discov. 9 (3) (2019)
David S. Watson, Marvin N. Wright
Testing Conditional Predictive Independence in Supervised Learning Algorithms. CoRR (2019)
Roman Hornung, Marvin N. Wright
Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinform. 20 (1) (2019)
Stefano Nembrini, Inke R. König, Marvin N. Wright
The revival of the Gini importance? Bioinform. 34 (21) (2018)
Philipp Probst, Marvin N. Wright, Anne-Laure Boulesteix
Hyperparameters and Tuning Strategies for Random Forest. CoRR (2018)
Césaire J. K. Fouodo, Inke R. König, Claus Weihs, Andreas Ziegler, Marvin N. Wright
Support Vector Machines for Survival Analysis with R. R J. 10 (1) (2018)
Matthias Schmid, Marvin N. Wright, Andreas Ziegler
On the use of Harrell's C for clinical risk prediction via random survival forests. Expert Syst. Appl. 63 (2016)
Marvin N. Wright, Theresa Dankowski, Andreas Ziegler
Random forests for survival analysis using maximally selected rank statistics. CoRR (2016)
Marvin N. Wright, Andreas Ziegler, Inke R. König
Do little interactions get lost in dark random forests? BMC Bioinform. 17 (2016)