| 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 | 627 | 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 | 107 | 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 | 23 | 2018 |
| 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 | 21* | 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 | 18 | 2015 |
| Aligning hyperbolic representations: an optimal transport-based approach A Hoyos-Idrobo arXiv preprint arXiv:2012.01089, 2020 | 7 | 2020 |
| Fast clustering for scalable statistical analysis on structured images B Thirion, A Hoyos-Idrobo, J Kahn, G Varoquaux arXiv preprint arXiv:1511.04898, 2015 | 2 | 2015 |
| Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs P Loyola, E Marrese-Taylor, A Hoyos-Idrobo Findings of the Association for Computational Linguistics: EMNLP 2023, 1536-1542, 2023 | 1* | 2023 |
| Approximate Birkhoff-von-Neumann decomposition: a differentiable approach A Hoyos-Idrobo https://openreview.net/forum?id=IpsTSvfIB6, 2020 | 1 | 2020 |
| Gaussian Processes for HRF estimation for BOLD fMRI M Eickenberg, A Frau-Pascual, A Hoyos-Idrobo arXiv preprint arXiv:1708.09762, 2017 | 1 | 2017 |
| 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 | 1 | 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 | 1 | 2017 |
| 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 | 1 | 2016 |
| Learning to Re-rank with Constrained Meta-Optimal Transport A Hoyos-Idrobo SIGIR, 48–57, 2023 | | 2023 |
| From Theory to Practice: Testing Harvesting-Based Propensity Estimators on Counterfactual Learning-To-Rank from Implicit Feedback for E-commerce Search P Goswami, A Hoyos-Idrobo, T Deschamps, N Feuillet SIGIR-ecom worshop, 2022 | | 2022 |
| Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation A Hoyos-Idrobo arXiv preprint arXiv:1906.08227, 2019 | | 2019 |
| Spark-dirty-cat repository A Hoyos-Idrobo https://github.com/rakutentech/spark-dirty-cat, 2019 | | 2019 |
| ReNA - code repository A Hoyos-Idrobo https://github.com/ahoyosid/ReNA, 2017 | | 2017 |
Gaël VaroquauxResearch director, INRIADirección de correo verificada de normalesup.org
