Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures.
- DOI
- 10.1088/2632-2153/adf375
- Published
- 2025 Sep 30
- Container
- Machine learning: science and technology
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1088/2632-2153/adf375,
title = {Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures.},
author = {Papillon M and Sanborn S and Mathe J and Cornelis L and Bertics A and Buracas D and J Lillemark H and Shewmake C and Dinc F and Pennec X and Miolane N},
year = {2025},
journal = {Machine learning: science and technology},
doi = {10.1088/2632-2153/adf375},
url = {https://doi.org/10.1088/2632-2153/adf375}
}RIS
TY - JOUR TI - Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. AU - Papillon M AU - Sanborn S AU - Mathe J AU - Cornelis L AU - Bertics A AU - Buracas D AU - J Lillemark H AU - Shewmake C AU - Dinc F AU - Pennec X AU - Miolane N PY - 2025 JO - Machine learning: science and technology DO - 10.1088/2632-2153/adf375 UR - https://doi.org/10.1088/2632-2153/adf375 ER -
APA
M, P., S, S., J, M., L, C., A, B., D, B., H, J. L., C, S., F, D., X, P., & N, M. (2025). Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures.. Machine learning: science and technology. https://doi.org/10.1088/2632-2153/adf375
Source records
- pubmed · retrieved 2026-09-25T05:49:06.492Z