MLFPM Symposium 2022: Bastian Rieck
Channel: MLFPM ITN
Date: 2023-04-20

Symposium "Machine Learning Frontiers in Precision Medicine", October 18-19, 2022, Max Planck Institute of Psychiatry

Bastian Rieck (Helmholtz Center Munich): A Good Scale is Hard To Find: Shape Analysis Using Topology

Our world is full of phenomena that happen at different spatial and temporal scales. If we pick the wrong scale, we might miss the forest for the trees---and vice versa!  In recent years, methods from computational topology have started to emerge as one way to address the challenging task of picking the 'right' scale: Instead of enforcing one specific scale when analysing data, such methods afford an analysis of *all* scales inherent to data sets.

In this talk, I will outline the general utility and expressivity of topological machine learning methods, i.e. methods combining a rigorous mathematical underpinning with the flexibility of modern deep learning architectures. I will provide both a theoretical as well as an applied view on this topic by showcasing how to employ topological methods to solve inverse problems, dealing with image reconstruction tasks in fluorescence microscopy.

The symposium is part of the H2020 Marie Curie Innovative Training Network "Machine Learning Frontiers in Precision Medicine" (https://mlfpm.eu). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.