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researcher

Daniel Grünbaum

3 papers here

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

author position
  • middle author3

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

fields
  • cs.LG1
  • physics.comp-ph1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

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

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

collaborators

3 papers

physics.comp-ph2024

dCG -- differentiable connected geometries for AI-compatible multi-domain optimization and inverse design

Alexander Luce, Daniel Grünbaum, Florian Marquardt

In the domain of geometry and topology optimization, discovering geometries that optimally satisfy specific problem criteria is a complex challenge in both engineering and scientif…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.