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Winfried Lötzsch
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2020 – today
- 2022
- [c5]Winfried Lötzsch, Max Reimann, Martin Büßemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp:
WISE: Whitebox Image Stylization by Example-Based Learning. ECCV (17) 2022: 135-152 - [i7]Winfried Lötzsch, Simon Ohler, Johannes S. Otterbach:
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks. CoRR abs/2206.14092 (2022) - [i6]Simon Ohler, Daniel Brady, Winfried Lötzsch, Michael Fleischhauer, Johannes S. Otterbach:
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks. CoRR abs/2207.08927 (2022) - [i5]Winfried Lötzsch, Max Reimann, Martin Büßemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp:
WISE: Whitebox Image Stylization by Example-based Learning. CoRR abs/2207.14606 (2022) - 2021
- [c4]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Learning Languages with Decidable Hypotheses. CiE 2021: 25-37 - 2020
- [c3]Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert:
3D Self-Supervised Methods for Medical Imaging. NeurIPS 2020 - [i4]Aiham Taleb, Winfried Loetzsch, Noel Danz, Julius Severin, Thomas Gärtner, Benjamin Bergner, Christoph Lippert:
3D Self-Supervised Methods for Medical Imaging. CoRR abs/2006.03829 (2020) - [i3]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Maps for Learning Indexable Classes. CoRR abs/2010.09460 (2020) - [i2]Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger:
Learning Languages with Decidable Hypotheses. CoRR abs/2011.09866 (2020)
2010 – 2019
- 2018
- [i1]Winfried Lötzsch:
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms. CoRR abs/1810.06746 (2018) - 2017
- [c2]Winfried Lötzsch, Julien Vitay, Fred H. Hamker:
Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem. GI-Jahrestagung 2017: 2143-2154 - 2016
- [c1]Martin Potthast, Sarah Braun, Tolga Buz, Fabian Duffhauss, Florian Friedrich, Jörg Marvin Gülzow, Jakob Köhler, Winfried Lötzsch, Fabian Müller, Maike Elisa Müller, Robert Paßmann, Bernhard Reinke, Lucas Rettenmeier, Thomas Rometsch, Timo Sommer, Michael Träger, Sebastian Wilhelm, Benno Stein, Efstathios Stamatatos, Matthias Hagen:
Who Wrote the Web? Revisiting Influential Author Identification Research Applicable to Information Retrieval. ECIR 2016: 393-407
Coauthor Index
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