Dahlinger, Philipp

10 publications

TMLR 2026 Context-Aware Learned Mesh-Based Simulation via Trajectory-Level Meta-Learning Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann

NeurIPS 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

NeurIPS 2025 MaNGO — Adaptable Graph Network Simulators via Meta-Learning Philipp Dahlinger, Tai Hoang, Denis Blessing, Niklas Freymuth, Gerhard Neumann

ICMLW 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

TMLR 2023 A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

ICLR 2023 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

NeurIPSW 2023 Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann

NeurIPSW 2023 Latent Task-Specific Graph Network Simulators Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Michael Volpp, Gerhard Neumann

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

ICLRW 2023 Swarm Reinforcement Learning for Adaptive Mesh Refinement Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann