Lapuschkin, Sebastian

Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications

Samek, W., Montavon, G., Lapuschkin, S., Anders, C. J., & Muller, K.-R. (2021) · Proceedings of the IEEE

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,477

Explaining nonlinear classification decisions with deep taylor decomposition

Montavon, G., Lapuschkin, S., Binder, A., Samek, W., & Müller, K.-R. (2017) · Pattern Recognition

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 1,357

Evaluating the Visualization of What a Deep Neural Network Has Learned

Samek, W., Binder, A., Montavon, G., Lapuschkin, S., & Muller, K.-R. (2017) · IEEE Transactions on Neural Networks and Learning Systems

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 1,164

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

Achtibat, R., Dreyer, M., Eisenbraun, I., Bosse, S., Wiegand, T., Samek, W., & Lapuschkin, S. (2023) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 181

Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond

Hedström, A., Weber, L., Bareeva, D., Krakowczyk, D., Motzkus, F., Samek, W., Lapuschkin, S., & Höhne, M. M. C. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 116

Explaining Machine Learning Models for Clinical Gait Analysis

Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breiteneder, C., Schöllhorn, W. I., & Zeppelzauer, M. (2022) · ACM Transactions on Computing for Healthcare

Explainable Artificial Intelligence (XAI)Gait Recognition and Analysis

Cited by 82

Explainable AI for time series via Virtual Inspection Layers

Vielhaben, J., Lapuschkin, S., Montavon, G., & Samek, W. (2024) · Pattern Recognition

Explainable Artificial Intelligence (XAI)Time Series Analysis and Forecasting

Cited by 38

Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations

Binder, A., Weber, L., Lapuschkin, S., Montavon, G., Müller, K.-R., & Samek, W. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 21

AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Becker, S., Vielhaben, J., Ackermann, M., Müller, K.-R., Lapuschkin, S., & Samek, W. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Music and Audio Processing

Cited by 7