Geometric analysis and partial differential equations, interactions and applications (GeoPDE)
Main funder
Funder's project number: 360185
Funds granted by main funder (€)
- 487 877,00
Funding program
Project timetable
Project start date: 01/09/2024
Project end date: 31/08/2028
Summary
Many important semi-supervised machine learning problems arise in more complex geometric environments for point cloud data or surfaces. It is natural that there is a wide variety of different geometries, and the best performing learning algorithm varies depending on the application. One of the objectives of this project is to develop a rather general theoretical foundations using stochastic game theory, partial differential equations and geometric analysis that would also apply for certain graph-based semi-supervised learning problems as a special case.
Nonetheless, the problems we propose are interesting theoretical open problems in their respective fields as well.
Nonetheless, the problems we propose are interesting theoretical open problems in their respective fields as well.
