Evaluating saliency methods on artificial data with different background types. - Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe (CoRR, 2021)

Scrutinizing XAI using linear ground-truth data with suppressor variables. - Rick Wilming; Céline Budding; Klaus-Robert Müller; Stefan Haufe (Mach. Learn., 2022)

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)

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)

What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure. - Céline Budding (CoRR, 2025)