Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures is a research paper published in Machine Learning Science and Technology (2025). On theSindex it has a DataRank of 0. It has been cited 6 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Natural Sciences and Engineering Research Council of Canada
Grant: 587432
National Science Foundation
Grant: 2134241
Collaborative Research: A Unifying Deep Learning Framework Using Cell Complex Neural Networks
Agence Nationale de la Recherche
Grant: ANR-23-IACL-0001
European Research Council
Grant: 786854
Foundations of Geometric Statistics and Their Application in the Life Sciences
National Institutes of Health
Grant: R01NS119468
Gordon and Betty Moore Foundation
Grant: 2919.02
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01NS119468-03
Navigational learning and memory: Cognitive graphs, active decision making, and brain network dynamics
National Science Foundation
Grant: 2139319
Graduate Research Fellowship Program (GRFP)
National Science Foundation
Grant: 2240158
CAREER: Advancing Shape Learning for Biosciences
National Science Foundation
Grant: 2313150
Collaborative Research: RI: Medium: Lie group representation learning for vision
National Science Foundation
Grant: 2309135
Kavli Institute for Theoretical Physics
University of California Santa Barbara Chancellor’s Fellowship
Chan Zuckerberg Initiative
Fields of Study
Keywords