Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2019iNNvestigate Neural Networks!
Alber, M.; Lapuschkin, S.; Seegerer, P.; Hägele, M.; Schütt, K.T.; Montavon, G.; Samek, W.; Müller, K.R.; Dähne, S.; Kindermans, P.J.
Journal Article
2019Unmasking Clever Hans predictors and assessing what machines really learn
Lapuschkin, S.; Wäldchen, S.; Binder, A.; Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2018Methods for interpreting and understanding deep neural networks
Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2017"What is relevant in a text document?": An interpretable machine learning approach
Arras, L.; Horn, F.; Montavon, G.; Müller, K.-R.; Samek, W.
Journal Article
2017Evaluating the Visualization of What a Deep Neural Network Has Learned
Samek, W.; Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.R.
Journal Article
2017Explaining nonlinear classification decisions with deep Taylor decomposition
Montavon, G.; Lapuschkin, S.; Binder, A.; Samek, W.; Müller, K.-R.
Journal Article
2016Analyzing classifiers: Fisher vectors and deep neural networks
Bach, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Identifying individual facial expressions by deconstructing a neural network
Arbabzadah, F.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Layer-wise relevance propagation for deep neural network architectures
Binder, A.; Bach, S.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Layer-wise relevance propagation for neural networks with local renormalization layers
Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.-R.; Samek, W.
Conference Paper
2016The LRP toolbox for artificial neural networks
Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Journal Article
2015On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation
Bach, S.; Binder, A.; Montavon, G.; Klauschen, F.; Muller, KR.; Samek, W.
Journal Article