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

96 citations · 116 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2021

Regional estimates of reproduction numbers with application to COVID-19

Jan Pablo Burgard, Stefan Heyder, Thomas Hotz +1

In the last year many public health decisions were based on real-time monitoring the spread of the ongoing COVID-19 pandemic. For this one often considers the reproduction number w…

physics.soc-ph2021

How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks

Sara Grundel, Stefan Heyder, Thomas Hotz +3

Most countries have started vaccinating people against COVID-19. However, due to limited production capacities and logistical challenges it will take months/years until herd immuni…

math.OC2020★ 3 cited

How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model

Sara Grundel, Stefan Heyder, Thomas Hotz +3

In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key as…

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…