Sebastian Lapuschkin

Publications

4.2K

Citations

H-Index

2016

Active since

Affiliations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute(Current)

Technische Universität Berlin

Singapore University of Technology and Design

Berlin Institute for the Foundations of Learning and Data

Korea University

Sebastian Lapuschkin is an author at Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute specializing in engineering, machine learning, and computer science.

ORCID

Top concepts

Machine LearningEngineeringData ScienceDeep LearningComputer SciencePattern RecognitionArtificial IntelligenceComputer VisionImage AnalysisMachine Vision

Publications per year

2016–2024

Publications

Explaining nonlinear classification decisions with deep Taylor decomposition

Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder et al. · Pattern Recognition · 2016 · 1.4K citations · Full text

Evaluating the Visualization of What a Deep Neural Network Has Learned

Wojciech Samek, Alexander Binder, Grégoire Montavon et al. · IEEE Transactions on Neural Networks and Learning Systems · 2016 · 1.1K citations

Pruning by explaining: A novel criterion for deep neural network pruning

Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin et al. · Pattern Recognition · 2021 · 239 citations · Full text

Analyzing Classifiers: Fisher Vectors and Deep Neural Networks

Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon et al. · 2016 · 207 citations

Convolutional Neural Network, Engineering, Machine Learning +17

From attribution maps to human-understandable explanations through Concept Relevance Propagation

Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun et al. · Nature Machine Intelligence · 2023 · 135 citations · Full text

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