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Niklas Freymuth
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2020 – today
- 2023
- [c3]Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann:
Grounding Graph Network Simulators using Physical Sensor Observations. ICLR 2023 - [c2]Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann:
Adversarial Imitation Learning with Preferences. ICLR 2023 - [i6]Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich
, Gerhard Neumann:
Grounding Graph Network Simulators using Physical Sensor Observations. CoRR abs/2302.11864 (2023) - [i5]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann:
Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR abs/2304.00818 (2023) - [i4]Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann:
Latent Task-Specific Graph Network Simulators. CoRR abs/2311.05256 (2023) - 2022
- [c1]Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann:
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRL 2022: 1379-1389 - [i3]Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksandar Taranovic, Gerhard Neumann:
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRR abs/2210.08121 (2022) - 2021
- [i2]Niklas Freymuth, Philipp Becker, Gerhard Neumann:
Versatile Inverse Reinforcement Learning via Cumulative Rewards. CoRR abs/2111.07667 (2021)
2010 – 2019
- 2019
- [i1]Verena Heusser, Niklas Freymuth, Stefan Constantin, Alex Waibel:
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models. CoRR abs/1912.02610 (2019)
Coauthor Index

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last updated on 2023-11-15 20:04 CET by the dblp team
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