Gregory Kiar

According to our database, Gregory Kiar authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

PyTracer: Automatically Profiling Numerical Instabilities in Python.

Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard

IEEE Trans. Computers, June, 2023

A Parameter-efficient Multi-subject Model for Predicting fMRI Activity.

Connor Lane, Gregory Kiar

CoRR, 2023

A numerical variability approach to results stability tests and its application to neuroimaging.

Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard

CoRR, 2023

2022

Numerical Stability of DeepGOPlus Inference.

Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard

CoRR, 2022

Pipeline-Invariant Representation Learning for Neuroimaging.

Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun

CoRR, 2022

2021

Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.

Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William R. Gray Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael P. Milham, Xi-Nian Zuo, Joshua T. Vogelstein

PLoS Comput. Biol., 2021

PyTracer: Automatically profiling numerical instabilities in Python.

Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard

CoRR, 2021

Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics.

Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard

CoRR, 2021

A Recommender System for Scientific Datasets and Analysis Pipelines.

Mandana Mazaheri, Gregory Kiar, Tristan Glatard

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic.

Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Reducing numerical precision preserves classification accuracy in Mondrian Forests.

Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Brain status modeling with non-negative projective dictionary learning.

Mingli Zhang, Christian Desrosiers, Yuhong Guo, Budhachandra S. Khundrakpam, Noor Al-Sharif, Gregory Kiar, Pedro A. Valdés-Sosa, Jean-Baptiste Poline, Alan C. Evans

NeuroImage, 2020

Comparing perturbation models for evaluating stability of neuroimaging pipelines.

Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard

Int. J. High Perform. Comput. Appl., 2020

A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra.

Jorge Bosch-Bayard, Eduardo Aubert-Vázquez, Shawn T. Brown, Christine Rogers, Gregory Kiar, Tristan Glatard, Lalet Scaria, Lídice Galán-García, Maria L. Bringas-Vega, Trinidad Virués-Alba, Armin Taheri, Samir Das, Cecile Madjar, Zia Mohaddes, Leigh C. MacIntyre, Alan C. Evans, Pedro A. Valdés-Sosa

Frontiers Neuroinformatics, 2020

Deploying large fixed file datasets with SquashFS and Singularity.

Pierre Rioux, Gregory Kiar, Alexandre Hutton, Alan C. Evans, Shawn T. Brown

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

2019

PyBIDS: Python tools for BIDS datasets.

Tal Yarkoni, Christopher J. Markiewicz, Alejandro de la Vega, Krzysztof J. Gorgolewski, Taylor Salo, Yaroslav O. Halchenko, Quinten McNamara, Krista Destasio, Jean-Baptiste Poline, Dmitry Petrov, Valérie Hayot-Sasson, Dylan Nielson, Johan D. Carlin, Gregory Kiar, Kirstie J. Whitaker, Elizabeth Dupre, Adina S. Wagner, Lee S. Tirrell, Mainak Jas, Michael Hanke, Russell A. Poldrack, Oscar Esteban, Stefan Appelhoff, Chris Holdgraf, Isla Staden, Bertrand Thirion, Dave F. Kleinschmidt, John Lee, Matteo di Castello, Michael Notter, Ross Blair

J. Open Source Softw., 2019

A Serverless Tool for Platform Agnostic Computational Experiment Management.

Gregory Kiar, Shawn T. Brown, Tristan Glatard, Alan C. Evans

Frontiers Neuroinformatics, 2019

Comparing Perturbation Models for Evaluating Stability of Post-Processing Pipelines in Neuroimaging.

Gregory Kiar, Pablo de Oliveira Castro, Pierre Rioux, Eric Petit, Shawn T. Brown, Alan C. Evans, Tristan Glatard

CoRR, 2019

2018

Container-Based Clinical Solutions for Portable and Reproducible Image Analysis.

Jordan Matelsky, Gregory Kiar, Erik C. Johnson, Corban Rivera, Michael Toma, William R. Gray Roncal

J. Digit. Imaging, 2018

2017

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack

PLoS Comput. Biol., 2017

Boutiques: a flexible framework for automated application integration in computing platforms.

Tristan Glatard, Gregory Kiar, Tristan Aumentado-Armstrong, Natacha Beck, Pierre Bellec, Rémi Bernard, Axel Bonnet, Sorina Camarasu-Pop, Frédéric Cervenansky, Samir Das, Rafael Ferreira da Silva, Guillaume Flandin, Pascal Girard, Krzysztof J. Gorgolewski, Charles R. G. Guttmann, Valérie Hayot-Sasson, Pierre-Olivier Quirion, Pierre Rioux, Marc-Etienne Rousseau, Alan C. Evans

CoRR, 2017