Who Wrote the Web? Revisiting Influential Author Identification Research Applicable to Information Retrieval. - 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; et al. (ECIR, 2016)

Training a deep policy gradient-based neural network with asynchronous learners on a simulated robotic problem. - Winfried Lötzsch; Julien Vitay; Fred H. Hamker (GI-Jahrestagung, 2017)

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms. - Winfried Lötzsch (CoRR, 2018)

3D Self-Supervised Methods for Medical Imaging. - Aiham Taleb; Winfried Loetzsch; Noel Danz; Julius Severin; Thomas Gärtner 004; Benjamin Bergner; Christoph Lippert (NeurIPS, 2020)

Learning Languages with Decidable Hypotheses. - Julian Berger; Maximilian Böther; Vanja Doskoc; Jonathan Gadea Harder; Nicolas Klodt; Timo Kötzing; Winfried Lötzsch; Jannik Peters 001; Leon Schiller; Lars Seifert; Armin Wells; Simon Wietheger (CiE, 2021)

WISE: Whitebox Image Stylization by Example-Based Learning. - Winfried Lötzsch; Max Reimann; Martin Büßemeyer; Amir Semmo; Jürgen Döllner; Matthias Trapp 001 (ECCV (17), 2022)

Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks. - Winfried Lötzsch; Simon Ohler; Johannes S. Otterbach (CoRR, 2022)

Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks. - Simon Ohler; Daniel Brady; Winfried Lötzsch; Michael Fleischhauer; Johannes S. Otterbach (CoRR, 2022)

Maps for learning indexable classes. - Julian Berger; Maximilian Böther; Vanja Doskoc; Jonathan Gadea Harder; Nicolas Klodt; Timo Kötzing; Winfried Lötzsch; Jannik Peters 001; Leon Schiller; Lars Seifert; Armin Wells; Simon Wietheger (Comput., 2024)