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Marius Zöllner
Marius Zöllner
Center for Information Technology
Computer science
Artificial intelligence
Artificial neural network
Control theory
Machine learning
5
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21
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Safe Deep Reinforcement Learning for Adaptive Cruise Control by Imposing State-Specific Safe Sets
2021
IV | IEEE Intelligent Vehicles Symposium
Mathis Brosowsky
Florian Keck
Jakob L. Ketterer
Simon T. Isele
Daniel Slieter
Marius Zöllner
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Sample-Specific Output Constraints for Neural Networks.
2020
arXiv: Computer Vision and Pattern Recognition
Mathis Brosowsky
Olaf Dünkel
Daniel Slieter
Marius Zöllner
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Using Mixture of Expert Models to Gain Insights Into Semantic Segmentation
2020
CVPR | Computer Vision and Pattern Recognition
Svetlana Pavlitskaya
Christian Hubschneider
Michael Weber
Ruby Moritz
Fabian Hüger
Peter Schlicht
Marius Zöllner
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Sample-Specific Output Constraints for Neural Networks.
2020
AAAI | National Conference on Artificial Intelligence
Mathis Brosowsky
Olaf Dünkel
Daniel Slieter
Marius Zöllner
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Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands
2017
ICANN | International Conference on Artificial Neural Networks
J. Camilo Vasquez Tieck
Heiko Donat
Jacques Kaiser
Igor Peric
Stefan Ulbrich
Arne Roennau
Marius Zöllner
Rüdiger Dillmann
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Citations (17)
1