Garchinger Maier-Leibnitz-Kolloquium: Scientific machine learning: An overview with applications to inverse problems

by Prof. Ozan Öktem (Dep. of Mathematics, KTH - Royal Institute of Technology, Stockholm/Sweden)

Thursday 16 Nov 2023, 16:15 → 17:15 Europe/Berlin

Lecture Hall, ground floor (west) (LMU building, Am Coulombwall 1, campus Garching)

Scientific Machine Learning is an emerging research area focused on the opportunities and challenges of machine learning in the context of complex applications across science, engineering, and medicine. Challenges in these fields have attributes that make them very different in nature to computer science applications where data-driven machine learning has found success. The talk will try to provide an overview of Scientific Machine Learning with emphasis on its recent application to solving large-scale ill-posed inverse problems.

Hybrid access via ZOOM:
https://lmu-munich.zoom.us/j/98457332925?pwd=TWc3V1JkSHpyOTBPQVlMelhuNnZ1dz09
Meeting ID: 984 5733 2925
Passcode: 979953

kolloquium-16-11-23.pdf