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On Geometric Optimization, Learning and Control
In this thesis, we have consider two research questions in the context of optimization, learning and control: Constrained optimization …
M. Weber
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Event Classification with Convolutional Neural Networks for Diboson Channels in the ATLAS Experiment at the Large Hadron Collider
The experimental investigation and validation of predictions of the Standard Model of Particle Physics is of fundamental importance for …
M. Weber
Forman-Ricci Curvature and Associated Geometric Flows for Complex Networks
With the rise of data science in the last decades, networks have emerged as a powerful tool to represent and study complex systems. …
M. Weber
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