Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. - Stefan Bluecher; Lukas Kades; Jan M. Pawlowski; Nils Strodthoff; Julian M. Urban (CoRR, 2020)

PredDiff: Explanations and Interactions from Conditional Expectations. - Stefan Blücher; Nils Strodthoff (CoRR, 2021)

PredDiff: Explanations and interactions from conditional expectations. - Stefan Blücher; Johanna Vielhaben; Nils Strodthoff (Artif. Intell., 2022)

Sparse Subspace Clustering for Concept Discovery (SSCCD). - Johanna Vielhaben; Stefan Blücher; Nils Strodthoff (CoRR, 2022)

Reconstructing Kernel-based Machine Learning Force Fields with Super-linear Convergence. - Stefan Blücher; Klaus-Robert Müller; Stefan Chmiela (CoRR, 2022)

Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees. - Johanna Vielhaben; Stefan Bluecher; Nils Strodthoff (Trans. Mach. Learn. Res., 2023)

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks. - Stefan Bluecher; Johanna Vielhaben; Nils Strodthoff (Trans. Mach. Learn. Res., 2024)