Smooth densities and generative modeling with unsupervised random forests. - David S. Watson; Kristin Blesch; Jan Kapar; Marvin N. Wright (CoRR, 2022)

Adversarial Random Forests for Density Estimation and Generative Modeling. - David S. Watson; Kristin Blesch; Jan Kapar; Marvin N. Wright (AISTATS, 2023)

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 (xAI (3), 2024)

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 (AAAI, 2025)

What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models. - Jan Kapar; Niklas Koenen; Martin Jullum (CoRR, 2025)

Autoencoding Random Forests. - Binh Duc Vu; Jan Kapar; Marvin N. Wright; David S. Watson (CoRR, 2025)

Missing value imputation with adversarial random forests - MissARF. - Pegah Golchian; Jan Kapar; David S. Watson; Marvin N. Wright (CoRR, 2025)