Niklas Freymuth

According to our database, Niklas Freymuth authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators.

Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth, Luca Geminiani, Tobias Würth, Johannes Mitsch, Nadja Klein, Luise Kärger, Gerhard Neumann

CoRR, May, 2026

Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms.

Andreas Boltres, Niklas Freymuth, Benjamin Schichtholz, Michael König, Gerhard Neumann

CoRR, April, 2026

Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing?

Andreas Boltres, Niklas Freymuth, Gerhard Neumann

CoRR, February, 2026

Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning.

Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann

Trans. Mach. Learn. Res., 2026

2025

Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics.

Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann

CoRR, November, 2025

MaNGO - Adaptable Graph Network Simulators via Meta-Learning.

Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

CoRR, October, 2025

TROLL: Trust Regions improve Reinforcement Learning for Large Language Models.

Philipp Becker, Niklas Freymuth, Serge Thilges, Fabian Otto, Gerhard Neumann

CoRR, October, 2025

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction.

Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann

CoRR, May, 2025

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval.

Niklas Freymuth, Dong Liu, Thomas Ricatte, Saab Mansour

CoRR, January, 2025

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics.

Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics.

Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Holger Karl, Gerhard Neumann

Trans. Mach. Learn. Res., 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