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Research Group

Mathematical Structures in AI

Mathematical Structures in AI studies how geometric, topological, and discrete structures shape representation, learning, and dynamics in artificial intelligence. We develop mathematically grounded foundations and methods for structure-aware AI (Math4AI) and pursue AI-driven exploration of mathematical structure (AI4Math).

Members

Group Leader

Diaaeldin Taha

Email - 518 A3 04
Geometry, Groups, and Dynamics MiS Profile
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Publications

Preprint
2026
Yuhan Peng et al.

Sheaf neural networks on SPD manifolds : second-order geometric representation learning

ArXiv: 2604.20308
inJournal
2026
Deniz Kucukahmetler et al.

Relative geometry of neural forecasters : linking accuracy and alignment in learned latent geometry

In: Transactions on machine learning research
ArXiv: 2602.15676 Link: openreview.net
All Group Publications
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Events