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L. Ferraris

1 paper hereh-index 12 citations2 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • stat.ML1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

stat.ML2023

Choosing the parameter of the Fermat distance: navigating geometry and noise

Frédéric Chazal, Laure Ferraris, Pablo Groisman +3

The Fermat distance has been recently established as a useful tool for machine learning tasks when a natural distance is not directly available to the practitioner or to improve th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.