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researcher

S. Lapuschkin

87 papers hereh-index 3410.9k citations124 works total

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

author position
  • first author1
  • middle author60
  • last author24

Across the 85 of 87 papers where every author was matched, so the position is known.

fields
  • cs.LG44
  • cs.CV21
  • cs.AI10
  • cs.CL5
  • stat.ML3
  • cs.SD2

identity via Semantic Scholar / OpenAlex

activity
20162026
most citedUnmasking Clever Hans Predictors and Assessing What Machines Really Learn

1k citations · 1.5k across the 67 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

3 papers · 2 filters

cs.CV2024★ 2 cited

Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization

Rohan Reddy Mekala, Frederik Pahde, Simon Baur +11

In the realm of dermatological diagnoses, where the analysis of dermatoscopic and microscopic skin lesion images is pivotal for the accurate and early detection of various medical…

cs.CV2024★ 4 cited

Explainable concept mappings of MRI: Revealing the mechanisms underlying deep learning-based brain disease classification

Christian Tinauer, Anna Damulina, Maximilian Sackl +9

Motivation. While recent studies show high accuracy in the classification of Alzheimer's disease using deep neural networks, the underlying learned concepts have not been investiga…

cs.CV2024★ 2 cited

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits

Maximilian Dreyer, Erblina Purelku, Johanna Vielhaben +2

The field of mechanistic interpretability aims to study the role of individual neurons in Deep Neural Networks. Single neurons, however, have the capability to act polysemantically…

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