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Laura Kühlewein

2 papers hereh-index 217 citations2 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedGenerating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models

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

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2024

This actually looks like that: Proto-BagNets for local and global interpretability-by-design

Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein +2

Interpretability is a key requirement for the use of machine learning models in high-stakes applications, including medical diagnosis. Explaining black-box models mostly relies on…

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