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Research Group

Mathematical Structures in AI - Publications

Explore the scholarly works of the Mathematical Structures in AI group. Browse journal articles, contributions in books and conference proceedings, academic theses, or discover our latest research through preprints. The names of the authors who worked on the publication during their time at the institute are shown in bold.

Group Publications by Type

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Publications of Diaaeldin Taha

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inBook

2026 Journal Open Access

Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf and Diaaeldin Taha

A comparative empirical study of relative embedding alignment in neural dynamical system forecasters

In: Proceedings of the geometry, topology, and machine learning workshop : 10-14 November 2025, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany / Michael Bleher... (eds.)
[s. l.] : PMLR, 2026. - pp. 201-214
(Proceedings of machine learning research ; 325)

BibTex Link: proceedings.mlr.press

Preprint

2026 Repository Open Access

J. Maxwell Riestenberg, Diaaeldin Taha, Steve Trettel and Anna Wienhard

Certifying arithmeticity for two degree-six symplectic hypergeometric monodromy groups

BibTex ArXiv: 2605.25935

inBook

2026 Journal Open Access

Michael Bleher, Freya Jensen, Levin Maier, Diaaeldin Taha and Anna Wienhard

Preface of geometry, topology, and machine learning 2025

In: Proceedings of the geometry, topology, and machine learning workshop : 10-14 November 2025, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany / Michael Bleher... (eds.)
[s. l.] : PMLR, 2026. - i-vii
(Proceedings of machine learning research ; 325)

BibTex Link: proceedings.mlr.press

Book

2026 Journal Open Access

Michael Bleher, Freya Jensen, Levin Maier, Diaaeldin Taha and Anna Wienhard (Eds.)

Proceedings of the geometry, topology, and machine learning workshop : 10-14 November 2025, Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany

[s. l.] : PMLR, 2026.
(Proceedings of machine learning research ; 325)

BibTex Link: proceedings.mlr.press

inJournal

2026 Journal Open Access

Deniz Kucukahmetler, Maximilian Jean Hemmann, Julian Mosig von Aehrenfeld, Maximilian Amthor, Christian Deubel, Nico Scherf and Diaaeldin Taha

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

In: Transactions on machine learning research, 2026 (2026) 2, pp. 1-29

BibTex ArXiv: 2602.15676 Link: openreview.net

Preprint

2026 Repository Open Access

Yuhan Peng, Junwen Dong, Yuzhi Zeng, Hao Li, Ce Ju, Huitao Feng, Diaaeldin Taha, Anna Wienhard and Kelin Xia

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

BibTex ArXiv: 2604.20308

Open Access Types

Journal Open Access
• Without article processing charges (diamond open access)
• With article processing charges (gold open access)
• In closed access journals with chargeable open access option (hybrid open access)

Repository Open Access
• Publications on a preprint server or on a free repository (green open access)