Nov 4, 09:30 – Nov 8, 12:30
Dates:
Mini-courses: November 4 – 5, 2024.
Workshop: November 6 – 8, 2024.
Location: Metaforum, Eindhoven University of Technology, Eindhoven, The Netherlands.
Outline:
The idea for this workshop is to bring together researchers from graph signal processing, multivariate extremes and graphical models/ algebraic statistics to discuss theoretical and methodological intersections and to foster future collaborations. Some key points of interest:
- Laplacian matrices in graphical extremes and graph signal processing.
- Sparsity in graph Laplacians: Extremal conditional independence, CI ideals and sparse signals.
- Algebraic statistics and graphical extremes.
- Graph Laplacians and Euclidean distance matrices: Combinatorial and geometric tools for statistics.
- Statistical Graph Signal Processing.
- Learning in graph data, representation learning in graphs.
- Inference of graph topology.
- Geometric Deep Learning.
- Applications of Graph Signal Processing on network-structured data (such as in communication networks, health care, social networks, drug discovery).
Info and registrations: Graph_Laplacians