Luise Kärger

Full Professor, Karlsruher Institut für Technologie

Joined

May 2023

Names

Luise Kärger (Preferred)

Emails

****@kit.edu (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

Full Professor

Karlsruher Institut für Technologie (kit.edu)

2022 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth, Tobias Würth, Tai Hoang, Johannes Mitsch, Luise Kärger, Gerhard Neumann
- AI&PDE Poster
- Readers: Everyone
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
- Accepted by TMLR
- Readers: Everyone
How Domain Knowledge can Improve Machine Learning Surrogates for Manufacturing Process Optimization – a Comparative Study
Béla H. Böhnke, Aleksandr Eismont, Clemens Zimmerling, Luise Kärger, Klemens Böhm
- Procedia CIRP: Part of special issue 57th CIRP Conference on Manufacturing Systems 2024 (CMS 2024)
- Readers: Everyone
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger
- NeurIPS 2025 spotlight
- Readers: Everyone
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 poster
- Readers: Everyone
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
- ICML2024-AI4Science Poster
- Readers: Everyone
Swarm Reinforcement Learning For Adaptive Mesh Refinement
Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds
Nils Meyer, Sebastian Gajek, Johannes Görthofer, Andrew Hrymak, Luise Kärger, Frank Henning, Matti Schneider, Thomas Böhlke
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
Non-isothermal direct bundle simulation of SMC compression molding with a non-Newtonian compressible matrix
Nils Meyer, Sergej Ilinzeer, Andrew N. Hrymak, Frank Henning, Luise Kärger
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone

Co-Authors

View all 26 co-authors