Scheduled presentations:

• Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning
  *Q. Liu (Technical University of Munich), F. Koehler (Technical University of Munich), B. Holzschuh (Technical University of Munich), N. Thuerey (Technical University of Munich)
• On Large-Scale PDE Foundation Models
  *M. Herde (ETH Zurich)
• Scaling Neural Surrogates for 3D Physics Simulations via Cropped Pretraining
  *B. Holzschuh (Technical University of Munich), G. Kohl (Technical University of Munich), F. Redinger (Technical University of Munich), N. Thuerey (Technical University of Munich)
• Dynamic Multi-Scale Graph Embeddings For Cross-Modal Representation of Physical Fields
  *C. Millet (CEA), X. Cassagnou (ENS Paris-Saclay), M. Mougeot (ENS Paris-Saclay)
• KolmoGraph: A Multi-Scale Energy Conservative Graph Neural Network for Variable Closure Fluid Modelling
  *M. Garcia (University of Washington), S. Brunton (University of Washington), J. Rowbottom (University of Cambridge), M. Wahib (RIKEN Center for Computational Science)
• Towards Parallel Compiled GPU-Accelerated Reduced Order Models
  *B. Eiximeno (NVIDIA), A. Miró (Universitat Politècnica de Catalunya), J. Kutz (Autodesk Research), I. Rodríguez (Universitat Politècnica de Catalunya), O. Lehmkuhl (Barcelona Supercomputing Center)