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researcher

Daniel Grünbaum

3 papers hereh-index 00 citations0 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML1
same name
  • Daniel Grünbaum — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222024
most citedQuantitative probing: Validating causal models using quantitative domain knowledge

7 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 2 cited

Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?

Philipp Schwarz, Oliver Schacht, Sven Klaassen +3

In this paper, we present a data-driven model for estimating optimal rework policies in manufacturing systems. We consider a single production stage within a multistage, lot-based…

stat.ML2023★ 1 cited

Causally Learning an Optimal Rework Policy

Oliver Schacht, Sven Klaassen, Philipp Schwarz +3

In manufacturing, rework refers to an optional step of a production process which aims to eliminate errors or remedy products that do not meet the desired quality standards. Rework…

cs.LG2022★ 7 cited

Quantitative probing: Validating causal models using quantitative domain knowledge

Daniel Grünbaum, Maike L. Stern, Elmar W. Lang

We present quantitative probing as a model-agnostic framework for validating causal models in the presence of quantitative domain knowledge. The method is constructed as an analogu…

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