Kern: A Labeling Environment for Large-Scale, High-Quality Training Data. - Johannes Hötter; Henrik Wenck; Moritz Feuerpfeil; Simon Witzke (NLDB, 2022)

SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented Data. - Maximilian Kleissl; Lukas Drews; Benedict B. Heyder; Julian Zabbarov; Pascal Iversen; Simon Witzke; Bernhard Y. Renard; Katharina Baum (Tiny Papers @ ICLR, 2023)

Identifying Drivers of Predictive Uncertainty using Variance Feature Attribution. - Pascal Iversen; Simon Witzke; Katharina Baum; Bernhard Y. Renard (CoRR, 2023)

Sparse Explanations of Neural Networks Using Pruned Layer-Wise Relevance Propagation. - Paulo Yanez Sarmiento; Simon Witzke; Nadja Klein; Bernhard Y. Renard (ECML/PKDD (4), 2024)