Sebastian Lapuschkin

Author

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute ORCID

Also Known As

Anders, Christopher J., Lapuschkin, Sebastian, S Lapuschkin, S. Lapuschkin, Samek, Wojciech, Sebastian Lapuschkin, Zanca, Dario

129

Publications

6.8K

Citations

H-Index

Concepts

All Affiliations

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute Technische Universität Berlin Singapore University of Technology and Design Berlin Institute for the Foundations of Learning and Data Korea University

About

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

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	17	1K
2	Health Sciences	3	3	213
3	Management	1	1	11
4	Public Health	1	1	11
5	Applied Physiology	1	1	32

Sebastian Lapuschkin

Publications

4.2K

Citations

H-Index

Page 1

	Year	Citations
Explaining nonlinear classification decisions with deep Taylor decomposition Grégoire Montavon, Sebastian Lapuschkin, Alexander Binder, Pattern Recognition	2016	1.4K
Evaluating the Visualization of What a Deep Neural Network Has Learned Wojciech Samek, Alexander Binder, Grégoire Montavon, IEEE Transactions on Neural Networks and Learning Systems	2016	1.1K
Pruning by explaining: A novel criterion for deep neural network pruning Seul-Ki Yeom, Philipp Seegerer, Sebastian Lapuschkin, Pattern Recognition	2021	239
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Convolutional Neural NetworkEngineeringMachine LearningClassification MethodImage Classification	2016	207
From attribution maps to human-understandable explanations through Concept Relevance Propagation Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun, Nature Machine Intelligence	2023	135
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond Anna Karin Hedström, Leander Weber, Dilyara Bareeva, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolAi Foundation	2022	118
Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals Sören Becker, Marcel R. Ackermann, Sebastian Lapuschkin, arXiv (Cornell University) MusicEngineeringMachine LearningSpeech RecognitionAudio Signals	2018	113
Understanding and Comparing Deep Neural Networks for Age and Gender Classification Wojciech Samek, Alexander Binder, Sebastian Lapuschkin, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2017	98
Toward Interpretable Machine Learning: Transparent Deep Neural Networks and Beyond Wojciech Samek, Grégoire Montavon, Sebastian Lapuschkin, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningData ScienceExplanation-based Learning	2020	74
Explaining Machine Learning Models for Clinical Gait Analysis Djordje Slijepčević, Fabian Horst, Sebastian Lapuschkin, ACM Transactions on Computing for Healthcare Artificial IntelligenceGait AnalysisEngineeringMachine LearningIntelligent Diagnostics	2021	68

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