Daniel Grünbaum

According to our database, Daniel Grünbaum authored at least 6 papers between 2000 and 2025.

Collaborative distances:

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

2025

<i>d</i>CG - differentiable connected geometries for AI-compatible multi-domain optimization and inverse design.

Alexander Luce, Daniel Grünbaum, Florian Marquardt

Mach. Learn. Sci. Technol., 2025

2024

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

2023

Causal modelling and validation based on observational data and domain knowledge.

Daniel Grünbaum

PhD thesis, 2023

Causally Learning an Optimal Rework Policy.

Oliver Schacht, Sven Klaassen, Philipp Schwarz, Martin Spindler, Daniel Grünbaum, Sebastian Imhof

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

2022

Quantitative probing: Validating causal models using quantitative domain knowledge.

Daniel Grünbaum, Maike Lorena Stern, Elmar Wolfgang Lang

CoRR, 2022

2000

Advection-Diffusion Equations for Internal State-Mediated Random Walks.

Daniel Grünbaum

SIAM J. Appl. Math., 2000