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Projects

Projects as Member

Model-regularized Learning of Complex Dynamical Behavior

Model-Regularized Learning Of Complex Dynamical Behavior

This project is planned to couple machine learning approaches, especially from the field of Deep Learning, with (reduced) ODE models in the sense that the model becomes...

Model-Regularized Learning Of Complex Dynamical Behavior
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Manifold-Valued Graph Neural Networks

Geometry-aware, data-analytic approaches improve understanding and assessment of pathophysiological processes. We will derive a new theoretical framework for deep neural...

Manifold-Valued Graph Neural Networks
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Elastic Shape Analysis on Manifolds

This project deals with spaces of manifold-valued curves and associated shape spaces, and is based on Riemannian tools for elastic shape analysis. We plan to study...

Elastic Shape Analysis on Manifolds
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Spline Models for Shape Trajectory Analysis

The aim of the project is the development of novel methods for the identification of systematic differences in empirically defined distributions of shape trajectories...

Spline Models for Shape Trajectory Analysis