Energy Cell Simulation for Sector Coupling with Power-to-Methane: A Case Study in Lower Bavaria von Bauer, Robert, Schopf, Dominik, Klaus, Grégoire, Brotsack, Raimund, Valdes, Javier

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A framework for regional smart energy planning using volunteered geographic information von Valdes, Javier, Wöllmann, Sebastian, Weber, Andreas, Klaus, Grégoire, Sigl, Christina, Prem, Matthias, Bauer, Robert, Zink, Roland

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Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications von Samek, Wojciech, Montavon, Gregoire, Lapuschkin, Sebastian, Anders, Christopher J., Muller, Klaus-Robert

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Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces von Chormai, Pattarawat, Herrmann, Jan, Muller, Klaus-Robert, Montavon, Gregoire

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Higher-Order Explanations of Graph Neural Networks via Relevant Walks von Schnake, Thomas, Eberle, Oliver, Lederer, Jonas, Nakajima, Shinichi, Schutt, Kristof T., Muller, Klaus-Robert, Montavon, Gregoire

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"What is relevant in a text document?": An interpretable machine learning approach von Arras, Leila, Horn, Franziska, Montavon, Grégoire, Müller, Klaus-Robert, Samek, Wojciech

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Unmasking Clever Hans predictors and assessing what machines really learn von Lapuschkin, Sebastian, Wäldchen, Stephan, Binder, Alexander, Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert

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Cinematic rendering of [18F]FDG-PET/MR von Huellner, Martin W., Engel, Klaus, Morand, Grégoire B., Stadlinger, Bernd

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Towards explaining anomalies: A deep Taylor decomposition of one-class models von Kauffmann, Jacob, Müller, Klaus-Robert, Montavon, Grégoire

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From Clustering to Cluster Explanations via Neural Networks von Kauffmann, Jacob, Esders, Malte, Ruff, Lukas, Montavon, Gregoire, Samek, Wojciech, Muller, Klaus-Robert

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On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation von Bach, Sebastian, Binder, Alexander, Montavon, Grégoire, Klauschen, Frederick, Müller, Klaus-Robert, Samek, Wojciech

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Methods for interpreting and understanding deep neural networks von Montavon, Grégoire, Samek, Wojciech, Müller, Klaus-Robert

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Learning domain invariant representations by joint Wasserstein distance minimization von Andéol, Léo, Kawakami, Yusei, Wada, Yuichiro, Kanamori, Takafumi, Müller, Klaus-Robert, Montavon, Grégoire

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Computational analysis reveals histotype-dependent molecular profile and actionable mutation effects across cancers von Heim, Daniel, Montavon, Grégoire, Hufnagl, Peter, Müller, Klaus-Robert, Klauschen, Frederick

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Explaining nonlinear classification decisions with deep Taylor decomposition von Montavon, Grégoire, Lapuschkin, Sebastian, Binder, Alexander, Samek, Wojciech, Müller, Klaus-Robert

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Cinematic rendering of [$^{18}$F]FDG-PET/MR von Huellner, Martin W, Engel, Klaus, Morand, Grégoire B, Stadlinger, Bernd

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Cinematic rendering of 18FFDG-PET/MR von Huellner, Martin W, Engel, Klaus, Morand, Grégoire B, Stadlinger, Bernd

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Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks von Linhardt, Lorenz, Klaus-Robert Müller, Montavon, Grégoire

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Building and Interpreting Deep Similarity Models von Eberle, Oliver, Buttner, Jochen, Krautli, Florian, Muller, Klaus-Robert, Valleriani, Matteo, Montavon, Gregoire

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Preemptively pruning Clever-Hans strategies in deep neural networks von Linhardt, Lorenz, Müller, Klaus-Robert, Montavon, Grégoire

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