Andrés Hoyos-Idrobo
Andrés Hoyos-Idrobo
Adresse e-mail validée de - Page d'accueil
Citée par
Citée par
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ...
NeuroImage 145, 166-179, 2017
On variant strategies to solve the magnitude least squares optimization problem in parallel transmission pulse design and under strict SAR and power constraints
A Hoyos-Idrobo, P Weiss, A Massire, A Amadon, N Boulant
IEEE transactions on medical imaging 33 (3), 739-748, 2013
Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals
A Hoyos-Idrobo, G Varoquaux, J Kahn, B Thirion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Improving sparse recovery on structured images with bagged clustering
A Hoyos-Idrobo, Y Schwartz, G Varoquaux, B Thirion
2015 International Workshop on Pattern Recognition in NeuroImaging, 73-76, 2015
FReM–scalable and stable decoding with fast regularized ensemble of models
A Hoyos-Idrobo, G Varoquaux, Y Schwartz, B Thirion
NeuroImage 180, 160-172, 2018
Fast brain decoding with random sampling and random projections
A Hoyos-Idrobo, G Varoquaux, B Thirion
Pattern Recognition in NeuroImaging (PRNI), 2016 International Workshop on, 2016
Towards a faster randomized parcellation based inference
A Hoyos-Idrobo, G Varoquaux, B Thirion
2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017
Fast clustering for scalable statistical analysis on structured images
B Thirion, A Hoyos-Idrobo, J Kahn, G Varoquaux
arXiv preprint arXiv:1511.04898, 2015
Aligning Hyperbolic Representations: an Optimal Transport-based approach
A Hoyos-Idrobo
arXiv preprint arXiv:2012.01089, 2020
Approximate Birkhoff-von-Neumann decomposition: a differentiable approach
A Hoyos-Idrobo, 2020
Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation
A Hoyos-Idrobo
arXiv preprint arXiv:1906.08227, 2019
Spark-dirty-cat repository
A Hoyos-Idrobo, 2019
Gaussian Processes for HRF estimation for BOLD fMRI
M Eickenberg, A Frau-Pascual, A Hoyos-Idrobo
arXiv preprint arXiv:1708.09762, 2017
Ensembles of models in fMRI: stable learning in large-scale settings.(Ensembles des modeles en fMRI: l'apprentissage stable à grande échelle).
AH Idrobo
University of Paris-Saclay, France, 2017
ReNA - code repository
A Hoyos-Idrobo, 2017
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–15