Rick Wilming

According to our database, Rick Wilming authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

The effect of whitening on explanation performance.

Benedict Clark, Stoyan Karastoyanov, Rick Wilming, Stefan Haufe

CoRR, February, 2026

Feature salience - not task-informativeness - drives machine learning model explanations.

Benedict Clark, Marta Oliveira, Rick Wilming, Stefan Haufe

CoRR, February, 2026

2025

GECOBench: a gender-controlled text dataset and benchmark for quantifying biases in explanations.

Rick Wilming, Artur Dox, Hjalmar Schulz, Marta Oliveira, Benedict Clark, Stefan Haufe

Frontiers Artif. Intell., 2025

2024

XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance.

Benedict Clark, Rick Wilming, Stefan Haufe

Mach. Learn., September, 2024

Benchmarking the influence of pre-training on explanation performance in MR image classification.

Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe

Frontiers Artif. Intell., 2024

Explainable AI needs formal notions of explanation correctness.

Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki

CoRR, 2024

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.

Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe

CoRR, 2024

2023

XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance.

Benedict Clark, Rick Wilming, Stefan Haufe

CoRR, 2023

Benchmark data to study the influence of pre-training on explanation performance in MR image classification.

Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe

CoRR, 2023

Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables.

Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe

Proceedings of the International Conference on Machine Learning, 2023

2022

Scrutinizing XAI using linear ground-truth data with suppressor variables.

Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe

Mach. Learn., 2022