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Layer-Wise Relevance Propagation for Neural Networks with Local Renormalization Layers.

A. Binder, G. Montavon, S. Lapuschkin, K. Müller, and W. Samek. ICANN (2), volume 9887 of Lecture Notes in Computer Science, page 63-71. Springer, (2016)

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Sebastian Friedl University of Stuttgart

Communication extension for cloud-based machine control of simulated robot processesF. Kretschmer, S. Friedl, A. Lechler, and A. Verl. 2016 IEEE International Conference on Industrial Technology (ICIT), page 54-58. (March 2016)

Sebastian Brandhofer University of Stuttgart

Sebastian Haunss

Dr. Sebastian Rojek University of Stuttgart

Sebastian Lippold University of Stuttgart

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iNNvestigate Neural Networks!M. Alber, S. Lapuschkin, P. Seegerer, M. Hägele, K. Schütt, G. Montavon, W. Samek, K. Müller, S. Dähne, and P. Kindermans. J. Mach. Learn. Res., (2019)Opening the machine learning black box with Layer-wise Relevance Propagation.S. Lapuschkin. Technical University of Berlin, Germany, (2019)Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation.W. Samek, G. Montavon, A. Binder, S. Lapuschkin, and K. Müller. CoRR, (2016)Analyzing Classifiers: Fisher Vectors and Deep Neural Networks.S. Lapuschkin, A. Binder, G. Montavon, K. Müller, and W. Samek. CVPR, page 2912-2920. IEEE Computer Society, (2016)The LRP Toolbox for Artificial Neural Networks.S. Lapuschkin, A. Binder, G. Montavon, K. Müller, and W. Samek. J. Mach. Learn. Res., (2016)Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.M. Hägele, P. Seegerer, S. Lapuschkin, M. Bockmayr, W. Samek, F. Klauschen, K. Müller, and A. Binder. CoRR, (2019)Analyzing ImageNet with Spectral Relevance Analysis: Towards ImageNet un-Hans'ed.C. Anders, T. Marinc, D. Neumann, W. Samek, K. Müller, and S. Lapuschkin. CoRR, (2019)Measurably Stronger Explanation Reliability via Model Canonization.F. Motzkus, L. Weber, and S. Lapuschkin. CoRR, (2022)Evaluating the Visualization of What a Deep Neural Network Has Learned.W. Samek, A. Binder, G. Montavon, S. Lapuschkin, and K. Müller. IEEE Trans. Neural Netw. Learning Syst., 28 (11): 2660-2673 (2017)iNNvestigate neural networks!M. Alber, S. Lapuschkin, P. Seegerer, M. Hägele, K. Schütt, G. Montavon, W. Samek, K. Müller, S. Dähne, and P. Kindermans. CoRR, (2018)