Jan Kapar

According to our database, Jan Kapar authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Machine Learning in Epidemiology.

Marvin N. Wright, Lukas Burk, Pegah Golchian, Jan Kapar, Niklas Koenen, Sophie Hanna Langbein

CoRR, February, 2026

2025

Can synthetic data reproduce real-world findings in epidemiology? A replication study using tree-based generative AI.

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

CoRR, August, 2025

Missing value imputation with adversarial random forests - MissARF.

Pegah Golchian, Jan Kapar, David S. Watson, Marvin N. Wright

CoRR, July, 2025

Autoencoding Random Forests.

Binh Duc Vu, Jan Kapar, Marvin N. Wright, David S. Watson

CoRR, May, 2025

What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models.

Jan Kapar, Niklas Koenen, Martin Jullum

Proceedings of the Explainable Artificial Intelligence, 2025

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests.

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

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Adversarial Random Forests for Density Estimation and Generative Modeling.

David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Smooth densities and generative modeling with unsupervised random forests.

David S. Watson, Kristin Blesch, Jan Kapar, Marvin N. Wright

CoRR, 2022