Niklas Freymuth

According to our database, Niklas Freymuth authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects.

Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich

IEEE Robotics Autom. Lett., June, 2024

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty.

Philipp Becker, Niklas Freymuth, Gerhard Neumann

CoRR, 2024

Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann

CoRR, 2024

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

CoRR, 2024

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes.

Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger

CoRR, 2024

2023

Latent Task-Specific Graph Network Simulators.

Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann

CoRR, 2023

Swarm Reinforcement Learning For Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann

CoRR, 2023

Swarm Reinforcement Learning for Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Imitation Learning with Preferences.

Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Grounding Graph Network Simulators using Physical Sensor Observations.

Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors.

Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

2021

Versatile Inverse Reinforcement Learning via Cumulative Rewards.

Niklas Freymuth, Philipp Becker, Gerhard Neumann

CoRR, 2021

2019

Bimodal Speech Emotion Recognition Using Pre-Trained Language Models.

Verena Heusser, Niklas Freymuth, Stefan Constantin, Alex Waibel

CoRR, 2019