EF1 – Extracting dynamical Laws from Complex Data



Manifold-Valued Graph Neural Networks

Project Heads

Christoph von Tycowicz, Gabriele Steidl

Project Members

Martin Hanik

Project Duration

01.01.2022 − 31.12.2023

Located at

FU Berlin


Geometry-aware, data-analytic approaches improve understanding and assessment of pathophysiological processes. We will derive a new theoretical framework for deep neural networks that can cope with geometric data and apply it for classification of musculoskeletal illness from both shape and movement patterns.

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