Wright, Marvin N.

9 publications

NeurIPS 2025 Autoencoding Random Forests Binh Duc Vu, Jan Kapar, Marvin N. Wright, David Watson

AAAI 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

ICML 2025 Fast Estimation of Partial Dependence Functions Using Trees Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu

ICML 2025 Gradient-Based Explanations for Deep Learning Survival Models Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright

JMLR 2024 Decomposing Global Feature Effects Based on Feature Interactions Julia Herbinger, Marvin N. Wright, Thomas Nagler, Bernd Bischl, Giuseppe Casalicchio

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

AISTATS 2023 Unifying Local and Global Model Explanations by Functional Decomposition of Low Dimensional Structures Munir Hiabu, Joseph T. Meyer, Marvin N. Wright

ICMLW 2021 Generalization of the Change of Variables Formula with Applications to Residual Flows Niklas Koenen, Marvin N. Wright, Peter Maass, Jens Behrmann

MLJ 2021 Testing Conditional Independence in Supervised Learning Algorithms David S. Watson, Marvin N. Wright