Freymuth, Niklas

14 publications

TMLR 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

NeurIPS 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

NeurIPS 2025 Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger

NeurIPS 2025 MaNGO — Adaptable Graph Network Simulators via Meta-Learning Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

ICMLW 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

ICMLW 2024 KalMamba: Towards Efficient Probabilistic State Space Models for RL Under Uncertainty Philipp Becker, Niklas Freymuth, Gerhard Neumann

TMLR 2024 Learning Sub-Second Routing Optimization in Computer Networks Requires Packet-Level Dynamics Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Holger Karl, Gerhard Neumann

ICLR 2023 Adversarial Imitation Learning with Preferences Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann

ICLR 2023 Grounding Graph Network Simulators Using Physical Sensor Observations Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

ICLRW 2023 Grounding Graph Network Simulators Using Physical Sensor Observations Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann

NeurIPSW 2023 Latent Task-Specific Graph Network Simulators Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Michael Volpp, Gerhard Neumann

NeurIPS 2023 Swarm Reinforcement Learning for Adaptive Mesh Refinement Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

ICLRW 2023 Swarm Reinforcement Learning for Adaptive Mesh Refinement Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann

CoRL 2022 Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann