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New America

United States

2 papers here11 citations across 2
fields
  • cond-mat.stat-mech1
  • cs.LG1
ROR 008zvz098OpenAlex

affiliations via OpenAlex

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

9 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Abby Bertics1 · h 1
  • Christian Shewmake1 · h 8
  • Domas Buracas1 · h 4
  • Fatih Dinç1 · h 6
  • Hansen J Lillemark1
  • Johan Mathe1 · h 5
  • Keisuke Okamura1 · h 1
  • L. Cornelis1 · h 2
  • Mathilde Papillon1 · h 6
  • Nina Miolane1 · h 10
  • S. Sanborn1 · h 11
  • Xavier Pennec1 · h 4
collaborating institutions
  • Atmel (United States)US1 paper
  • Berkeley CollegeUS1 paper
  • Institut national de recherche en sciences et technologies du numériqueFR1 paper
  • Observatoire de la Côte d’AzurFR1 paper
  • Palo Alto UniversityUS1 paper
  • Stanford UniversityUS1 paper
  • University of California, BerkeleyUS1 paper
  • University of California, Santa BarbaraUS1 paper
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024★ 9 cited

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

Mathilde Papillon, Sophia Sanborn, Johan Mathe +8

The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern mach…

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