Philipp Dahlinger

According to our database, Philipp Dahlinger authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

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

Beyond Task Performance: Human Experience in Human-Robot Collaboration.

Sean Kille, Jan Heinrich Robens, Philipp Dahlinger, Alejandra Rodriguez-Velasquez, Simon Rothfuß, Bálint Varga, Andreas Lindenmann, Gerhard Neumann, Sven Matthiesen, Andrea Kiesel, Sören Hohmann

CoRR, May, 2025

Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection.

Xueyin Li, Xinkai Jiang, Philipp Dahlinger, Gerhard Neumann, Rudolf Lioutikov

CoRR, March, 2025

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

2023

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models.

Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

Trans. Mach. Learn. Res., 2023

Human-machine symbiosis: A multivariate perspective for physically coupled human-machine systems.

Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Simon Rothfuß, Sean Kille, Philipp Dahlinger, Andreas Lindenmann, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel

Int. J. Hum. Comput. Stud., 2023

Latent Task-Specific Graph Network Simulators.

Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann

CoRR, 2023

Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization.

Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, 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

Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference.

Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems.

Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel

CoRR, 2021