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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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