Marvin N. Wright

49 papers A* 3A 2Journal 38Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Functional Decomposition and Shapley Interactions for Interpreting Survival Models. CoRR Sophie Hanna Langbein, Hubert Baniecki, Fabian Fumagalli, Niklas Koenen, Marvin N. Wright, Julia Herbinger
2026	J	`jnl`	GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations. CoRR Julia Herbinger, Gabriel Laberge, Maximilian Muschalik, Yann Pequignot, Marvin N. Wright, Fabian Fumagalli
2026	J	`jnl`	Machine Learning in Epidemiology. CoRR Marvin N. Wright, Lukas Burk, Pegah Golchian, Jan Kapar, Niklas Koenen, Sophie Hanna Langbein
2026	J	`jnl`	xplainfi: Feature Importance and Statistical Inference for Machine Learning in R. CoRR Lukas Burk, Fiona Katharina Ewald, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2025	J	`jnl`	Autoencoding Random Forests. CoRR Binh Duc Vu, Jan Kapar, Marvin N. Wright, David S. Watson
2025	J	`jnl`	Can synthetic data reproduce real-world findings in epidemiology? A replication study using tree-based generative AI. CoRR Jan Kapar, Kathrin Günther, Lori Ann Vallis, Klaus Berger, Nadine Binder, Hermann Brenner, Stefanie Castell, Beate Fischer, Volker Harth, Bernd Holleczek, Timm Intemann, Till Ittermann, André Karch, Thomas Keil, Lilian Krist, Berit Lange, Michael F. Leitzmann, Katharina Nimptsch, Nadia Obi, Iris Pigeot, Tobias Pischon, Tamara Schikowski, Börge Schmidt, Carsten Oliver Schmidt, Anja M. Sedlmair, Justine Tanoey, Harm Wienbergen, Andreas Wienke, Claudia Wigmann, Marvin N. Wright
2025	A*	`conf`	Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests. AAAI Kristin Blesch, Niklas Koenen, Jan Kapar, Pegah Golchian, Lukas Burk, Markus Loecher, Marvin N. Wright
2025	J	`jnl`	Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests. CoRR Kristin Blesch, Niklas Koenen, Jan Kapar, Pegah Golchian, Lukas Burk, Markus Loecher, Marvin N. Wright
2025	A*	`conf`	Fast Estimation of Partial Dependence Functions using Trees. ICML Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu
2025	A*	`conf`	Gradient-based Explanations for Deep Learning Survival Models. ICML Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright
2025	J	`jnl`	Gradient-based Explanations for Deep Learning Survival Models. CoRR Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright
2025	J	`jnl`	Imputation Uncertainty in Interpretable Machine Learning Methods. CoRR Pegah Golchian, Marvin N. Wright
2025	J	`jnl`	Missing value imputation with adversarial random forests - MissARF. CoRR Pegah Golchian, Jan Kapar, David S. Watson, Marvin N. Wright
2024	—	`conf`	A Guide to Feature Importance Methods for Scientific Inference. xAI (2) Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	J	`jnl`	A Guide to Feature Importance Methods for Scientific Inference. CoRR Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	J	`jnl`	A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data. CoRR Lukas Burk, John Zobolas, Bernd Bischl, Andreas Bender, Marvin N. Wright, Raphael Sonabend
2024	—	`conf`	CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests. xAI (3) Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
2024	J	`jnl`	CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
2024	J	`jnl`	Decomposing Global Feature Effects Based on Feature Interactions. J. Mach. Learn. Res. Julia Herbinger, Marvin N. Wright, Thomas Nagler, Bernd Bischl, Giuseppe Casalicchio
2024	J	`jnl`	Fast Estimation of Partial Dependence Functions using Trees. CoRR Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu
2024	J	`jnl`	Interpretable Machine Learning for Survival Analysis. CoRR Sophie Hanna Langbein, Mateusz Krzyzinski, Mikolaj Spytek, Hubert Baniecki, Przemyslaw Biecek, Marvin N. Wright
2024	J	`jnl`	Interpreting Deep Neural Networks with the Package innsight. J. Stat. Softw. Niklas Koenen, Marvin N. Wright
2024	—	`conf`	Toward Understanding the Disagreement Problem in Neural Network Feature Attribution. xAI (3) Niklas Koenen, Marvin N. Wright
2024	J	`jnl`	Toward Understanding the Disagreement Problem in Neural Network Feature Attribution. CoRR Niklas Koenen, Marvin N. Wright
2023	A	`conf`	Adversarial Random Forests for Density Estimation and Generative Modeling. AISTATS David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
2023	J	`jnl`	Interpreting Deep Neural Networks with the Package innsight. CoRR Niklas Koenen, Marvin N. Wright
2023	—	`conf`	Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2023	—	`conf`	Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values. xAI (1) Kristin Blesch, Marvin N. Wright, David S. Watson
2023	A	`conf`	Unifying local and global model explanations by functional decomposition of low dimensional structures. AISTATS Munir Hiabu, Joseph T. Meyer, Marvin N. Wright
2023	J	`jnl`	arfpy: A python package for density estimation and generative modeling with adversarial random forests. CoRR Kristin Blesch, Marvin N. Wright
2023	J	`jnl`	survex: an R package for explaining machine learning survival models. Bioinform. Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2023	J	`jnl`	survex: an R package for explaining machine learning survival models. CoRR Mikolaj Spytek, Mateusz Krzyzinski, Sophie Hanna Langbein, Hubert Baniecki, Marvin N. Wright, Przemyslaw Biecek
2022	—	`conf`	Are SHAP Values Biased Towards High-Entropy Features? PKDD/ECML Workshops (1) Raphael Baudeu, Marvin N. Wright, Markus Loecher
2022	J	`jnl`	Conditional Feature Importance for Mixed Data. CoRR Kristin Blesch, David S. Watson, Marvin N. Wright
2022	J	`jnl`	Smooth densities and generative modeling with unsupervised random forests. CoRR David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright
2022	J	`jnl`	Unifying local and global model explanations by functional decomposition of low dimensional structures. CoRR Munir Hiabu, Joseph T. Meyer, Marvin N. Wright
2021	J	`jnl`	Generalization of the Change of Variables Formula with Applications to Residual Flows. CoRR Niklas Koenen, Marvin N. Wright, Peter Maaß, Jens Behrmann
2021	J	`jnl`	Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. CoRR Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2021	J	`jnl`	Testing conditional independence in supervised learning algorithms. Mach. Learn. David S. Watson, Marvin N. Wright
2020	J	`jnl`	Discrete-time survival forests with Hellinger distance decision trees. Data Min. Knowl. Discov. Matthias Schmid, Thomas Welchowski, Marvin N. Wright, Moritz Berger
2019	J	`jnl`	Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinform. Roman Hornung, Marvin N. Wright
2019	J	`jnl`	Hyperparameters and tuning strategies for random forest. WIREs Data Mining Knowl. Discov. Philipp Probst, Marvin N. Wright, Anne-Laure Boulesteix
2019	J	`jnl`	Testing Conditional Predictive Independence in Supervised Learning Algorithms. CoRR David S. Watson, Marvin N. Wright
2018	J	`jnl`	Hyperparameters and Tuning Strategies for Random Forest. CoRR Philipp Probst, Marvin N. Wright, Anne-Laure Boulesteix
2018	J	`jnl`	Support Vector Machines for Survival Analysis with R. R J. Césaire J. K. Fouodo, Inke R. König, Claus Weihs, Andreas Ziegler, Marvin N. Wright
2018	J	`jnl`	The revival of the Gini importance? Bioinform. Stefano Nembrini, Inke R. König, Marvin N. Wright
2016	J	`jnl`	Do little interactions get lost in dark random forests? BMC Bioinform. Marvin N. Wright, Andreas Ziegler, Inke R. König
2016	J	`jnl`	On the use of Harrell's C for clinical risk prediction via random survival forests. Expert Syst. Appl. Matthias Schmid, Marvin N. Wright, Andreas Ziegler
2016	J	`jnl`	Random forests for survival analysis using maximally selected rank statistics. CoRR Marvin N. Wright, Theresa Dankowski, Andreas Ziegler