| Bimodal speech emotion recognition using pre-trained language models V Heusser, N Freymuth, S Constantin, A Waibel arXiv preprint arXiv:1912.02610, 2019 | 37 | 2019 |
| Grounding graph network simulators using physical sensor observations J Linkerhägner, N Freymuth, PM Scheikl, F Mathis-Ullrich, G Neumann arXiv preprint arXiv:2302.11864, 2023 | 4 | 2023 |
| Adversarial imitation learning with preferences A Taranovic, AG Kupcsik, N Freymuth, G Neumann The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
| Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects PM Scheikl, N Schreiber, C Haas, N Freymuth, G Neumann, R Lioutikov, ... IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| Swarm reinforcement learning for adaptive mesh refinement N Freymuth, P Dahlinger, T Würth, S Reisch, L Kärger, G Neumann Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Versatile inverse reinforcement learning via cumulative rewards N Freymuth, P Becker, G Neumann arXiv preprint arXiv:2111.07667, 2021 | 2 | 2021 |
| Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors N Freymuth, N Schreiber, P Becker, A Taranovic, G Neumann arXiv preprint arXiv:2210.08121, 2022 | 1 | 2022 |
| Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes T Würth, N Freymuth, C Zimmerling, G Neumann, L Kärger arXiv preprint arXiv:2402.10681, 2024 | | 2024 |
| Latent Task-Specific Graph Network Simulators P Dahlinger, N Freymuth, M Volpp, T Hoang, G Neumann arXiv preprint arXiv:2311.05256, 2023 | | 2023 |
| Beyond Shortest-Paths: A Benchmark for Reinforcement Learning on Traffic Engineering A Boltres, N Freymuth, P Jahnke, G Neumann | | 2023 |
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Verified email at robot-learning.de
