18 citations · 21 across the 5 of their papers we have counts for
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stat.ML2019
Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation
Andrés Hoyos-Idrobo
Optimal transport (OT)-based methods have a wide range of applications and have attracted a tremendous amount of attention in recent years. However, most of the computational appro…
stat.ML2016★ 18 cited
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
Andrés Hoyos-Idrobo, Gaël Varoquaux, Jonas Kahn +1
In this work, we revisit fast dimension reduction approaches, as with random projections and random sampling. Our goal is to summarize the data to decrease computational costs and…
stat.ML2015
Fast clustering for scalable statistical analysis on structured images
Bertrand Thirion, Andrés Hoyos-Idrobo, Jonas Kahn +1
The use of brain images as markers for diseases or behavioral differences is challenged by the small effects size and the ensuing lack of power, an issue that has incited researche…