Philipp Dahlinger

17 papers A* 2Journal 15

Year	Rank	Type	Title / Venue / Authors
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`	Beyond Task Performance: Human Experience in Human-Robot Collaboration. CoRR Sean Kille, Jan Heinrich Robens, Philipp Dahlinger, Alejandra Rodriguez-Velasquez, Simon Rothfuß, Bálint Varga, Andreas Lindenmann, Gerhard Neumann, Sven Matthiesen, Andrea Kiesel, Sören Hohmann
2025	J	`jnl`	Beyond Visuals: Investigating Force Feedback in Extended Reality for Robot Data Collection. CoRR Xueyin Li, Xinkai Jiang, Philipp Dahlinger, Gerhard Neumann, Rudolf Lioutikov
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`	MaNGO - Adaptable Graph Network Simulators via Meta-Learning. CoRR Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, 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
2023	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
2023	A*	`conf`	Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
2023	J	`jnl`	Human-machine symbiosis: A multivariate perspective for physically coupled human-machine systems. Int. J. Hum. Comput. Stud. 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
2023	J	`jnl`	Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, 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`	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	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
2021	J	`jnl`	Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems. CoRR Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel