18 citations · 21 across the 5 of their papers we have counts for
6 papers
Probing the Geometry of Color Representations in Multilingual Language Models
Pablo Loyola, Edison Marrese-Taylor, Andrés Hoyos-Idrobo
Do multilingual language models learn a universal internal geometry for color, and is it perceptually grounded or primarily linguistic? We decompose color representations into two…
Learning to Re-rank with Constrained Meta-Optimal Transport
Andrés Hoyos-Idrobo
Many re-ranking strategies in search systems rely on stochastic ranking policies, encoded as Doubly-Stochastic (DS) matrices, that satisfy desired ranking constraints in expectatio…
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…
Gaussian Processes for HRF estimation for BOLD fMRI
Michael Eickenberg, Aina Frau-Pascual, Andrés Hoyos-Idrobo
We present a non-parametric joint estimation method for fMRI task activation values and the hemodynamic response function (HRF). The HRF is modeled as a Gaussian process, making co…
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…
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…