Sebastian Lapuschkin
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute(DE)Technological University Dublin(IE)
Publications by Year
Research Areas
Explainable Artificial Intelligence (XAI), Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications
Most-Cited Works
- → Explaining nonlinear classification decisions with deep Taylor decomposition(2016)1,373 cited
- → Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications(2021)1,230 cited
- → Evaluating the Visualization of What a Deep Neural Network Has Learned(2016)1,125 cited
- → Layer-Wise Relevance Propagation: An Overview(2019)736 cited
- → Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers(2016)392 cited
- → Pruning by explaining: A novel criterion for deep neural network pruning(2021)243 cited
- → Analyzing Classifiers: Fisher Vectors and Deep Neural Networks(2016)