Niklas Freymuth

27 papers A* 3Misc 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing? CoRR Andreas Boltres, Niklas Freymuth, Gerhard Neumann
2026	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. Trans. Mach. Learn. Res. Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. CoRR Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. CoRR Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics. CoRR Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger
2025	J	`jnl`	Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval. CoRR Niklas Freymuth, Dong Liu, Thomas Ricatte, Saab Mansour
2025	J	`jnl`	Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics. CoRR Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann
2025	J	`jnl`	MaNGO - Adaptable Graph Network Simulators via Meta-Learning. CoRR Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann
2025	J	`jnl`	TROLL: Trust Regions improve Reinforcement Learning for Large Language Models. CoRR Philipp Becker, Niklas Freymuth, Serge Thilges, Fabian Otto, Gerhard Neumann
2024	J	`jnl`	Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. CoRR Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
2024	J	`jnl`	Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann
2024	J	`jnl`	KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. CoRR Philipp Becker, Niklas Freymuth, Gerhard Neumann
2024	J	`jnl`	Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics. CoRR Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Holger Karl, Gerhard Neumann
2024	J	`jnl`	Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics. Trans. Mach. Learn. Res. Andreas Boltres, Niklas Freymuth, Patrick Jahnke, Holger Karl, Gerhard Neumann
2024	J	`jnl`	Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. IEEE Robotics Autom. Lett. Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
2024	J	`jnl`	Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes. CoRR Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger
2023	A*	`conf`	Adversarial Imitation Learning with Preferences. ICLR Aleksandar Taranovic, Andras Gabor Kupcsik, Niklas Freymuth, Gerhard Neumann
2023	A*	`conf`	Grounding Graph Network Simulators using Physical Sensor Observations. ICLR Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
2023	J	`jnl`	Grounding Graph Network Simulators using Physical Sensor Observations. CoRR Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
2023	J	`jnl`	Latent Task-Specific Graph Network Simulators. CoRR Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
2023	J	`jnl`	Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects. CoRR Paul Maria Scheikl, Nicolas Schreiber, Christoph Haas, Niklas Freymuth, Gerhard Neumann, Rudolf Lioutikov, Franziska Mathis-Ullrich
2023	J	`jnl`	Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann
2023	A*	`conf`	Swarm Reinforcement Learning for Adaptive Mesh Refinement. NeurIPS Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
2022	Misc	`conf`	Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRL Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann
2022	J	`jnl`	Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRR Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksandar Taranovic, Gerhard Neumann
2021	J	`jnl`	Versatile Inverse Reinforcement Learning via Cumulative Rewards. CoRR Niklas Freymuth, Philipp Becker, Gerhard Neumann
2019	J	`jnl`	Bimodal Speech Emotion Recognition Using Pre-Trained Language Models. CoRR Verena Heusser, Niklas Freymuth, Stefan Constantin, Alex Waibel