Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints von Sattler, Felix, Muller, Klaus-Robert, Samek, Wojciech

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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data von Sattler, Felix, Wiedemann, Simon, Muller, Klaus-Robert, Samek, Wojciech

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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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A Unifying Review of Deep and Shallow Anomaly Detection von Ruff, Lukas, Kauffmann, Jacob R., Vandermeulen, Robert A., Montavon, Gregoire, Samek, Wojciech, Kloft, Marius, Dietterich, Thomas G., Muller, Klaus-Robert

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Evaluating the Visualization of What a Deep Neural Network Has Learned von Samek, Wojciech, Binder, Alexander, Montavon, Gregoire, Lapuschkin, Sebastian, Muller, Klaus-Robert

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Compact and Computationally Efficient Representation of Deep Neural Networks von Wiedemann, Simon, Muller, Klaus-Robert, Samek, Wojciech

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Fluorine in Pharmaceuticals: Looking beyond Intuition von Müller, Klaus, Faeh, Christoph, Diederich, François

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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment von Bosse, Sebastian, Maniry, Dominique, Muller, Klaus-Robert, Wiegand, Thomas, Samek, Wojciech

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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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Diffeomorphic Counterfactuals With Generative Models von Dombrowski, Ann-Kathrin, Gerken, Jan E., Muller, Klaus-Robert, Kessel, Pan

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Understanding machine-learned density functionals von Li, Li, Snyder, John C., Pelaschier, Isabelle M., Huang, Jessica, Niranjan, Uma-Naresh, Duncan, Paul, Rupp, Matthias, Müller, Klaus-Robert, Burke, Kieron

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

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Langevin Cooling for Unsupervised Domain Translation von Srinivasan, Vignesh, Muller, Klaus-Robert, Samek, Wojciech, Nakajima, Shinichi

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Validity of Time Reversal for Testing Granger Causality von Winkler, Irene, Panknin, Danny, Bartz, Daniel, Muller, Klaus-Robert, Haufe, Stefan

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Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond von Muller-Putz, Gernot, Millan, Jose del R., Leeb, Robert, Tangermann, Michael, Hohne, Johannes, Kubler, Andrea, Cincotti, Febo, Mattia, Donatella, Rupp, Rudiger, Muller, Klaus-Robert

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Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models von Hashemi, Ali, Cai, Chang, Gao, Yijing, Ghosh, Sanjay, Muller, Klaus-Robert, Nagarajan, Srikantan S., Haufe, Stefan

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Handbuch Unternehmenssicherheit: Umfassendes Sicherheits-, Kontinuitäts- Und Risikomanagement Mit System von Muller, Klaus-Rainer

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Fluorination Patterning: A Study of Structural Motifs That Impact Physicochemical Properties of Relevance to Drug Discovery von Huchet, Quentin A, Kuhn, Bernd, Wagner, Björn, Kratochwil, Nicole A, Fischer, Holger, Kansy, Manfred, Zimmerli, Daniel, Carreira, Erick M, Müller, Klaus

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Understanding kernel ridge regression: Common behaviors from simple functions to density functionals von Vu, Kevin, Snyder, John C., Li, Li, Rupp, Matthias, Chen, Brandon F., Khelif, Tarek, Müller, Klaus-Robert, Burke, Kieron

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