Jan Kapar

12 papers A* 1A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Machine Learning in Epidemiology.
CoRR
Marvin N. Wright, Lukas Burk, Pegah Golchian, Jan Kapar, Niklas Koenen, Sophie Hanna Langbein
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 J jnl
Missing value imputation with adversarial random forests - MissARF.
CoRR
Pegah Golchian, Jan Kapar, David S. Watson, Marvin N. Wright
2025 — conf
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models.
xAI (3)
Jan Kapar, Niklas Koenen, Martin Jullum
2025 J jnl
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models.
CoRR
Jan Kapar, Niklas Koenen, Martin Jullum
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
2023 A conf
Adversarial Random Forests for Density Estimation and Generative Modeling.
AISTATS
David S. Watson, Kristin Blesch, Jan Kapar, 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