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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
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publications
Who wrote the web? Revisiting influential author identification research applicable to information retrieval
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.
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem
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.
Using deep reinforcement learning for the continuous control of robotic arms
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.
3D Self-Supervised Methods for Medical Imaging
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
Maps for Learning Indexable Classes
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.
Learning languages with decidable hypotheses
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.
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks
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.
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks
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.
WISE: Whitebox Image Stylization by Example-Based Learning
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.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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