Niklas Freymuth

According to our database1, Niklas Freymuth authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes.
CoRR, 2024

2023
Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects.
CoRR, 2023

Latent Task-Specific Graph Network Simulators.
CoRR, 2023

Swarm Reinforcement Learning For Adaptive Mesh Refinement.
CoRR, 2023

Swarm Reinforcement Learning for Adaptive Mesh Refinement.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Imitation Learning with Preferences.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Grounding Graph Network Simulators using Physical Sensor Observations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors.
Proceedings of the Conference on Robot Learning, 2022

2021
Versatile Inverse Reinforcement Learning via Cumulative Rewards.
CoRR, 2021

2019
Bimodal Speech Emotion Recognition Using Pre-Trained Language Models.
CoRR, 2019


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