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Published in In the proceedings of Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20--23, 2016. Proceedings 38, 2016
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Recommended citation: Martin Potthast, Sarah Braun, Tolga Buz, Fabian Duffhauss, Florian Friedrich, J{\"o}rg G{\"u}lzow, Jakob K{\"o}hler, Winfried L{\"o}tzsch, Fabian M{\"u}ller, Maike M{\"u}ller and others, "Who wrote the web? Revisiting influential author identification research applicable to information retrieval." In the proceedings of Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20--23, 2016. Proceedings 38, 2016.
Published in In the proceedings of INFORMATIK 2017, 2017
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Recommended citation: Winfried L{\"o}tzsch, Julien Vitay, Fred Hamker, "Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem." In the proceedings of INFORMATIK 2017, 2017.
Published in arXiv preprint, 2018
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Recommended citation: Winfried L{\"o}tzsch, "Using deep reinforcement learning for the continuous control of robotic arms." In the proceedings of arXiv preprint, 2018.
Published in In the proceedings of Advances in Neural Information Processing Systems, 2020
Recommended citation: Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gaertner, Benjamin Bergner, Christoph Lippert, "3D Self-Supervised Methods for Medical Imaging." In the proceedings of Advances in Neural Information Processing Systems, 2020. https://proceedings.neurips.cc/paper/2020/file/d2dc6368837861b42020ee72b0896182-Paper.pdf
Published in arXiv preprint, 2020
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Recommended citation: Julian Berger, Maximilian B{\"o}ther, Vanja Dosko{\v{c}}, Jonathan Harder, Nicolas Klodt, Timo K{\"o}tzing, Winfried L{\"o}tzsch, Jannik Peters, Leon Schiller, Lars Seifert and others, "Maps for Learning Indexable Classes." In the proceedings of arXiv preprint, 2020.
Published in In the proceedings of Connecting with Computability: 17th Conference on Computability in Europe, CiE 2021, Virtual Event, Ghent, July 5--9, 2021, Proceedings 17, 2021
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Recommended citation: Julian Berger, Maximilian B{\"o}ther, Vanja Dosko{\v{c}}, Jonathan Harder, Nicolas Klodt, Timo K{\"o}tzing, Winfried L{\"o}tzsch, Jannik Peters, Leon Schiller, Lars Seifert, and others, "Learning languages with decidable hypotheses." In the proceedings of Connecting with Computability: 17th Conference on Computability in Europe, CiE 2021, Virtual Event, Ghent, July 5--9, 2021, Proceedings 17, 2021.
Published in In the proceedings of ICML 2022 2nd AI for Science Workshop, 2022
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Recommended citation: Winfried L{\"o}tzsch, Simon Ohler, Johannes Otterbach, "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks." In the proceedings of ICML 2022 2nd AI for Science Workshop, 2022.
Published in In the proceedings of ICML 2022 2nd AI for Science Workshop, 2022
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Recommended citation: Simon Ohler, Daniel Brady, Winfried L{\"o}tzsch, Michael Fleischhauer, Johannes Otterbach, "Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks." In the proceedings of ICML 2022 2nd AI for Science Workshop, 2022.
Published in In the proceedings of Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XVII, 2022
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Recommended citation: Winfried L{\"o}tzsch, Max Reimann, Martin B{\"u}ssemeyer, Amir Semmo, J{\"u}rgen D{\"o}llner, Matthias Trapp, "WISE: Whitebox Image Stylization by Example-Based Learning." In the proceedings of Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XVII, 2022.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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