Bimodal Speech Emotion Recognition Using Pre-Trained Language Models. - Verena Heusser; Niklas Freymuth; Stefan Constantin; Alex Waibel (CoRR, 2019)

Versatile Inverse Reinforcement Learning via Cumulative Rewards. - Niklas Freymuth; Philipp Becker; Gerhard Neumann (CoRR, 2021)

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

Grounding Graph Network Simulators using Physical Sensor Observations. - Jonas Linkerhägner; Niklas Freymuth; Paul Maria Scheikl; Franziska Mathis-Ullrich; Gerhard Neumann (ICLR, 2023)

Adversarial Imitation Learning with Preferences. - Aleksandar Taranovic; Andras Gabor Kupcsik; Niklas Freymuth; Gerhard Neumann (ICLR, 2023)

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

Swarm Reinforcement Learning For Adaptive Mesh Refinement. - Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Luise Kärger; Gerhard Neumann (CoRR, 2023)

Latent Task-Specific Graph Network Simulators. - Philipp Dahlinger; Niklas Freymuth; Michael Volpp; Tai Hoang; Gerhard Neumann (CoRR, 2023)

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)

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)

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)

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. - Philipp Becker; Niklas Freymuth; Gerhard Neumann (CoRR, 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)

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., 2024)

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval. - Niklas Freymuth; Dong Liu; Thomas Ricatte; Saab Mansour (CoRR, 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, 2025)

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics. - Tobias Würth; Niklas Freymuth; Gerhard Neumann; Luise Kärger (CoRR, 2025)