Learning, planning, and control in a monolithic neural event inference architecture von Butz, Martin V., Bilkey, David, Humaidan, Dania, Knott, Alistair, Otte, Sebastian

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Physical Domain Reconstruction with Finite Volume Neural Networks von Horuz, Coşku Can, Karlbauer, Matthias, Praditia, Timothy, Butz, Martin V., Oladyshkin, Sergey, Nowak, Wolfgang, Otte, Sebastian

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings,... von Farkas, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings,... von Farkas, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings,... von Farkas, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings,... von Farkas, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings,... von Farkas, Igor, Masulli, Paolo, Otte, Sebastian, Wermter, Stefan

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Inference of affordances and active motor control in simulated agents von Scholz, Fedor, Gumbsch, Christian, Otte, Sebastian, Butz, Martin V.

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Inferring Adaptive Goal-Directed Behavior Within Recurrent Neural Networks von Otte, Sebastian, Schmitt, Theresa, Friston, Karl, Butz, Martin V.

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Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning von Hu, Yuqing, Gripon, Vincent, Pateux, Stéphane

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Balanced Softmax Cross-Entropy for Incremental Learning von Jodelet, Quentin, Liu, Xin, Murata, Tsuyoshi

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The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory von Oladyshkin, Sergey, Praditia, Timothy, Kroeker, Ilja, Mohammadi, Farid, Nowak, Wolfgang, Otte, Sebastian

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Contextualizing predictive minds von Butz, Martin V., Mittenbühler, Maximilian, Schwöbel, Sarah, Achimova, Asya, Gumbsch, Christian, Otte, Sebastian, Kiebel, Stefan

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Learning Groundwater Contaminant Diffusion‐Sorption Processes With a Finite Volume Neural Network von Praditia, Timothy, Karlbauer, Matthias, Otte, Sebastian, Oladyshkin, Sergey, Butz, Martin V., Nowak, Wolfgang

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Estimation of the Surface Fluxes for Heat and Momentum in Unstable Conditions with Machine Learning and Similarity Approaches for the LAFE Data Set von Wulfmeyer, Volker, Pineda, Juan Manuel Valencia, Otte, Sebastian, Karlbauer, Matthias, Butz, Martin V., Lee, Temple R., Rajtschan, Verena

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Optimizing recurrent reservoirs with neuro-evolution von Otte, Sebastian, Butz, Martin V., Koryakin, Danil, Becker, Fabian, Liwicki, Marcus, Zell, Andreas

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings

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Artificial Neural Networks and Machine Learning - ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings

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