Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures

Papillon, M., Sanborn, A., Mathe, J., Cornelis, L., Bertics, A., Buracas, D., Lillemark, H., Shewmake, C., Dinc, F., Pennec, X., Miolane, N.

The emerging field of non-Euclidean machine learning generalizes classical methods to data with complex geometric, topological, and algebraic structures, offering a unified graphical taxonomy of recent advances along with insights into key challenges and future opportunities.