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ORCIDNiklas Freymuth
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2020 – today
- 2024
[j1]Paul Maria Scheikl
, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich:
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. IEEE Robotics Autom. Lett. 9(6): 5338-5345 (2024)- [i11]Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger:
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes. CoRR abs/2402.10681 (2024) - [i10]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann:
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. CoRR abs/2406.08440 (2024) - [i9]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann:
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR abs/2406.14161 (2024) - [i8]Philipp Becker, Niklas Freymuth, Gerhard Neumann:
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. CoRR abs/2406.15131 (2024) - 2023
- [c4]Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann:
Grounding Graph Network Simulators using Physical Sensor Observations. ICLR 2023 - [c3]Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann:
Adversarial Imitation Learning with Preferences. ICLR 2023 - [c2]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann:
Swarm Reinforcement Learning for Adaptive Mesh Refinement. NeurIPS 2023 - [i7]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) - [i6]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann:
Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR abs/2304.00818 (2023) - [i5]Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann:
Latent Task-Specific Graph Network Simulators. CoRR abs/2311.05256 (2023) - [i4]Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich:
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. CoRR abs/2312.10008 (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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