Third-cycle subject: Computer Science
1) Topology and Geometry in Machine Learning
Developing the theoretical underpinnings of machine learning algorithms is crucial for making learning robust, data-efficient, and explainable. Understanding and exploiting geometric and topological properties of data is one of the challenges associated to this topic.