Manuel Schneider

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Approximation Error

Top Venues

Oper. Res. Lett.

Publications

Manuel Schneider, Norbert Greifzu, Lei Wang, Christian Walther, Andreas Wenzel, Pu Li
An end-to-end machine learning approach with explanation for time series with varying lengths. Neural Comput. Appl. 36 (13) (2024)
Kai-Hsin Wu, Chang-Teng Lin, Ke Hsu, Hao-Ti Hung, Manuel Schneider, Chia-Min Chung, Ying-Jer Kao, Pochung Chen
The Cytnx Library for Tensor Networks. CoRR (2024)
Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Manuel Schneider, Paolo Stornati
Best-approximation error for parametric quantum circuits. ICWS (2021)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. CoRR (2021)
Florian Laurent, Manuel Schneider, Christian Scheller, Jeremy D. Watson, Jiaoyang Li, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. NeurIPS (Competition and Demos) (2020)
Sharada Prasanna Mohanty, Erik Nygren, Florian Laurent, Manuel Schneider, Christian Scheller, Nilabha Bhattacharya, Jeremy D. Watson, Adrian Egli, Christian Eichenberger, Christian Baumberger, Gereon Vienken, Irene Sturm, Guillaume Sartoretti, Giacomo Spigler
Flatland-RL : Multi-Agent Reinforcement Learning on Trains. CoRR (2020)
Muhammad Hassan Khan, Manuel Schneider, Muhammad Shahid Farid, Marcin Grzegorzek
Detection of Infantile Movement Disorders in Video Data Using Deformable Part-Based Model. Sensors 18 (10) (2018)
Tobias Harks, Max Klimm, Manuel Schneider
Bottleneck routing with elastic demands. Oper. Res. Lett. 46 (1) (2018)
Alexander M. Schmidts, Manuel Schneider, Markus Kuhne, Angelika Peer
A new interaction force decomposition maximizing compensating forces under physical work constraints. ICRA (2016)
Tobias Harks, Max Klimm, Manuel Schneider
Bottleneck Routing with Elastic Demands. WINE (2015)
André Weiskopf, Frank Weichert, Norbert Fränzel, Manuel Schneider
Flexible Embedded Telemetry System for Agriculture and Aquaculture. CCTA (2) (2013)