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researcher

S. Heyder

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • q-bio.PE1

identity via Semantic Scholar / OpenAlex

most citedGeomstats: A Python Package for Riemannian Geometry in Machine Learning

96 citations · 113 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.PE2020★ 17 cited

Monitoring the spread of COVID-19 by estimating reproduction numbers over time

Thomas Hotz, Matthias Glock, Stefan Heyder +3

To control the current outbreak of the Coronavirus Disease 2019, constant monitoring of the epidemic is required since, as of today, no vaccines or antiviral drugs against it are k…

cs.LG2020★ 96 cited

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Nina Miolane, Alice Le Brigant, Johan Mathe +16

We introduce Geomstats, an open-source Python toolbox for computations and statistics on nonlinear manifolds, such as hyperbolic spaces, spaces of symmetric positive definite matri…

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