3.2k citations · 3.4k across the 18 of their papers we have counts for
20 papers
Statistical Modeling for Practical Pooled Testing During the COVID-19 Pandemic
Saskia Comess, Hannah Wang, Susan Holmes +1
Pooled testing offers an efficient solution to the unprecedented testing demands of the COVID-19 pandemic, although with potentially lower sensitivity and increased costs to implem…
A Statistical Perspective on the Challenges in Molecular Microbial Biology
Pratheepa Jeganathan, Susan P. Holmes
High throughput sequencing (HTS)-based technology enables identifying and quantifying non-culturable microbial organisms in all environments. Microbial sequences have enhanced our…
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…
Modeling the Heterogeneity in COVID-19's Reproductive Number and its Impact on Predictive Scenarios
Claire Donnat, Susan Holmes
The correct evaluation of the reproductive number for COVID-19 -- which characterizes the average number of secondary cases generated by each typical primary case -- is central…
Convex Hierarchical Clustering for Graph-Structured Data
Claire Donnat, Susan Holmes
Convex clustering is a recent stable alternative to hierarchical clustering. It formulates the recovery of progressively coalescing clusters as a regularized convex problem. While…
Learning Weighted Submanifolds with Variational Autoencoders and Riemannian Variational Autoencoders
Nina Miolane, Susan Holmes
Manifold-valued data naturally arises in medical imaging. In cognitive neuroscience, for instance, brain connectomes base the analysis of coactivation patterns between different br…