Andrés Hoyos Idrobo

According to our database, Andrés Hoyos Idrobo authored at least 15 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving Bias Correction Standards by Quantifying its Effects on Treatment Outcomes.

Alexandre Abraham, Andrés Hoyos Idrobo

CoRR, 2024

2023

nilearn.

Nilearn Contributors, Ahmad Chamma, Aina Frau-Pascual, Alex Rothberg, Alexandre Abadie, Alexandre Abraham, Alexandre Gramfort, Alexandre Savio, Alexandre Cionca, Alexis Thual, Alisha Kodibagkar, Amadeus Kanaan, Ana Luísa Pinho, Andrés Hoyos Idrobo, Anne-Sophie Kieslinger, Ariel Rokem, Arthur Mensch, Aswin Vijayan, Audrey Duran, Ben Cipollini, Bertrand Thirion, Binh Nguyen, Caglar Cakan, Chris Gorgolewski, Chris Markiewicz, Christian Horea, Christian Gerloff, Colin Reininger, Connor Lane, Czarina Sy, Céline Delettre, Dan Gale, Daniel Gomez, Danilo Bzdok, David G. Ellis, Demian Wassermann, Derek Pisner, Dimitri Papadopoulos Orfanos, Elizabeth DuPre, Elvis Dohmatob, Eric Larson, Evan Edmond, Fabian Pedregosa, Franz Liem, François Paugam, Gaël Varoquaux, Gilles de Hollander, Gregory Kiar, Greydon Gilmore, Guillaume Lemaitre, Hao-Ting Wang, Himanshu Aggarwal, Ian Abenes, Jake Vogel, Ján Margeta, Jaques Grobler, Jason Gors, Javier Rasero, Jean Kossaifi, Jean-Rémi King, Jelle Roelof Dalenberg, Jeremy Lefort-Besnard, Jérôme Dockès, Jérôme-Alexis Chevalier, Johannes Wiesner, Jon Haitz Legarreta Gorrono, Jona Sassenhagen, Joshua Teves, Julia M. Huntenburg, Julio A. Peraza-Goicolea, Kamalakar Reddy Daddy, Kevin R. Sitek, Koen Helwegen, Konrad Wagstyl, Konstantin Shmelkov, Kshitij Chawla, Kun Chen, Leonard Sasse, Loic Estève, Loïc Tetrel, Luz Paz, Manon Pietrantoni, Martin Perez-Guevara, Martin Wegrzyn, Mathias Goncalves, Mathieu Dugré, Matthias Ekman, Matthieu Joulot, Maximilian Cosmo Sitter, Mehdi Rahim, Michael Eickenberg, Michael Hanke, Michael Notter, Michael Waskom, Michelle Wang, Mohammad Torabi, Moritz Boos, Myeong Seop Song, Natasha Clarke, Neelay Shah, Nicolas Gensollen, Oliver Warrington, Oscar Esteban, Patrick S. Sadil, Paul Bogdan, Paula Sanz-Leon, Peer Herholz, Philippe Gervais, Pierre Bellec, Pierre Glaser, Pierre-Olivier Quirion, Pradeep Reddy Raamana, Rahul Brito, Raphaël Meudec, Robert Luke, Robert Williamson, Roberto Guidotti, Ronald Phlypo, Ryan Hammonds, Rémi Gau, Sachin Patalasingh, Sage Hahn, Salma Bougacha, Sam Buck Johnson, Sami Jawhar, Simon Steinkamp, Sourav Singh, Steven L. Meisler, Sylvain Lan, Sylvain Takerkart, Tarun Samanta, Taylor Salo, Thomas Bazeille, Tom Vanasse, Vasco Diogo, Vincent Michel, Virgile Fritsch, Yaroslav O. Halchenko, Yasmin Mzayek, Zvi Baratz, Óscar Nájera

Dataset, October, 2023

Learning to Re-rank with Constrained Meta-Optimal Transport.

Andrés Hoyos Idrobo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Perceptual Structure in the absence of grounding: the impact of abstractedness and subjectivity in color language for LLMs.

Pablo Loyola, Edison Marrese-Taylor, Andrés Hoyos Idrobo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2020

Aligning Hyperbolic Representations: an Optimal Transport-based approach.

Andrés Hoyos Idrobo

CoRR, 2020

2019

Recursive Nearest Agglomeration (ReNA): Fast Clustering for Approximation of Structured Signals.

Andrés Hoyos Idrobo, Gaël Varoquaux, Jonas Kahn, Bertrand Thirion

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Local Bures-Wasserstein Transport: A Practical and Fast Mapping Approximation.

Andrés Hoyos Idrobo

CoRR, 2019

2018

FReM - Scalable and stable decoding with fast regularized ensemble of models.

Andrés Hoyos Idrobo, Gaël Varoquaux, Yannick Schwartz, Bertrand Thirion

NeuroImage, 2018

2017

Ensembles of models in fMRI : stable learning in large-scale settings. (Ensembles des modeles en fMRI : l'apprentissage stable à grande échelle).

Andrés Hoyos Idrobo

PhD thesis, 2017

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.

Gaël Varoquaux, Pradeep Reddy Raamana, Denis A. Engemann, Andrés Hoyos Idrobo, Yannick Schwartz, Bertrand Thirion

NeuroImage, 2017

Towards a faster randomized parcellation based inference.

Andrés Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

2016

Fast brain decoding with random sampling and random projections.

Andrés Hoyos Idrobo, Gaël Varoquaux, Bertrand Thirion

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015

Fast clustering for scalable statistical analysis on structured images.

Bertrand Thirion, Andrés Hoyos Idrobo, Jonas Kahn, Gaël Varoquaux

CoRR, 2015

Improving Sparse Recovery on Structured Images with Bagged Clustering.

Andrés Hoyos Idrobo, Yannick Schwartz, Gaël Varoquaux, Bertrand Thirion

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

2014

On Variant Strategies to Solve the Magnitude Least Squares Optimization Problem in Parallel Transmission Pulse Design and Under Strict SAR and Power Constraints.

Andrés Hoyos Idrobo, Pierre Weiss, Aurélien Massire, Alexis Amadon, Nicolas Boulant

IEEE Trans. Medical Imaging, 2014