Georg Kohl, M.Sc. – Thuerey Group

My current research topic is the similarity assessment of data from numerical PDE simulations. In short, common comparison operations for this data like L¹ or L² metrics are suboptimal, as the only consider local distances without accounting for the context or larger structures. I’m investigating deep learning methods to create more accurate and robust comparison models for this task. In addition, I’m interested in more general topics in physics-based simulations, machine learning, computer graphics, and game development.

I’m a Ph.D. student in Nils Thuerey’s group since November 2019. I received my M.Sc. and B.Sc degrees in Informatics: Games Engineering at the Technical University of Munich as well.

Contact

E-mail: georg.kohl (at) tum.de
Phone: +49.89.289.17873
Room: 02.13.041

Publications

Georg Kohl, Li-Wei Chen, and Nils Thuerey, “Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation“, arXiv, 2023 [Project]
Georg Kohl, Li-Wei Chen, and Nils Thuerey, “Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs“, AAAI Conference on Artificial Intelligence, 2023 [Project]
Georg Kohl, Kiwon Um, and Nils Thuerey, “Learning Similarity Metrics for Numerical Simulations“, International Conference on Machine Learning, 2020 [Project]

Theses

Georg Kohl, “Accuracy Evaluation of Numerical Simulation Methods with CNNs“, M.Sc. Thesis, Technical University of Munich, October 2019. (English)
Georg Kohl, “Visual Enhancement of Liquid Simulations using Secondary Particles“, B.Sc. Thesis, Technical University of Munich, September 2017. (English) [Video]

Teaching

Supervised Theses

Björn Kremser, “Learned PDE Corrections for Fluid Flows with Diffusion Models”, B.Sc. Thesis, TUM, December 2023
Hanfeng Wu, “Perceptual Losses for Deep Learning on Fluid Simulations”, B.Sc. Thesis, TUM, September 2021
Benjamin Holzschuh, “Transfer Learning for Physical Simulations”, M.Sc. Thesis, TUM, March 2021