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L. Kling

2 papers hereh-index 10943 citations21 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.LG2
same name
  • L. Kling — 3 papers, h 4

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

most citedLearning with Known Operators reduces Maximum Training Error Bounds

147 citations · 147 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020

Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation

Leonid Mill, David Wolff, Nele Gerrits +12

Nanoparticles occur in various environments as a consequence of man-made processes, which raises concerns about their impact on the environment and human health. To allow for prope…

cs.LG2019★ 147 cited

Learning with Known Operators reduces Maximum Training Error Bounds

Andreas K. Maier, Christopher Syben, Bernhard Stimpel +7

We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain op…

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