Advection-Diffusion Equations for Internal State-Mediated Random Walks. - Daniel Grünbaum (SIAM J. Appl. Math., 2000)

Quantitative probing: Validating causal models using quantitative domain knowledge. - Daniel Grünbaum; Maike Lorena Stern; Elmar Wolfgang Lang (CoRR, 2022)

Causally Learning an Optimal Rework Policy. - Oliver Schacht; Sven Klaassen; Philipp Schwarz; Martin Spindler; Daniel Grünbaum; Sebastian Imhof (CDPD, 2023)

Causal modelling and validation based on observational data and domain knowledge. - Daniel Grünbaum (2023)

Management Decisions in Manufacturing using Causal Machine Learning - To Rework, or not to Rework? - Philipp Schwarz; Oliver Schacht; Sven Klaassen; Daniel Grünbaum; Sebastian Imhof; Martin Spindler (CoRR, 2024)

dCG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design. - Alexander Luce; Daniel Grünbaum; Florian Marquardt (Mach. Learn. Sci. Technol., 2025)