Philipp Dahlinger

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Mesh Refinement

Top Venues

Int. J. Hum. Comput. Stud.

Trans. Mach. Learn. Res.

Publications

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR (2024)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. CoRR (2024)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann
Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR (2023)
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
Human-machine symbiosis: A multivariate perspective for physically coupled human-machine systems. Int. J. Hum. Comput. Stud. 170 (2023)
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann
Swarm Reinforcement Learning for Adaptive Mesh Refinement. NeurIPS (2023)
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. 2023 (2023)
Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR (2023)
Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
Latent Task-Specific Graph Network Simulators. CoRR (2023)
Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR (2023)
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR (2022)
Jairo Inga, Miriam Ruess, Jan Heinrich Robens, Thomas Nelius, Sean Kille, Philipp Dahlinger, Roland Thomaschke, Gerhard Neumann, Sven Matthiesen, Sören Hohmann, Andrea Kiesel
Human-machine Symbiosis: A Multivariate Perspective for Physically Coupled Human-machine Systems. CoRR (2021)