Piecewise holistic autotuning of parallel programs with CERE. - Mihail Popov; Chadi Akel; Yohan Chatelain; William Jalby; Pablo de Oliveira Castro (Concurr. Comput. Pract. Exp., 2017)

VeriTracer: Context-enriched tracer for floating-point arithmetic analysis. - Yohan Chatelain; Pablo de Oliveira Castro; Eric Petit 002; David Defour; Jordan Bieder; Marc Torrent 001 (ARITH, 2018)

Automatic Exploration of Reduced Floating-Point Representations in Iterative Methods. - Yohan Chatelain; Eric Petit 002; Pablo de Oliveira Castro; Ghislain Lartigue; David Defour (Euro-Par, 2019)

Outils de débogage et d'optimisation des calculs flottants dans un contexte HPC. (Tools for debugging and optimizing floating-point computations in HPC). - Yohan Chatelain (2019)

Reducing numerical precision preserves classification accuracy in Mondrian Forests. - Marc Vicuna; Martin Khannouz; Gregory Kiar; Yohan Chatelain; Tristan Glatard (IEEE BigData, 2021)

Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. - Ali Salari; Yohan Chatelain; Gregory Kiar; Tristan Glatard (UNSURE/PIPPI@MICCAI, 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)

PyTracer: Automatically profiling numerical instabilities in Python. - Yohan Chatelain; Nigel Yong; Gregory Kiar; Tristan Glatard (CoRR, 2021)

Numerical Stability of DeepGOPlus Inference. - Inés Gonzalez Pepe; Yohan Chatelain; Gregory Kiar; Tristan Glatard (CoRR, 2022)

Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. - Morgane Des Ligneris; Axel Bonnet; Yohan Chatelain; Tristan Glatard; Michaël Sdika; Gaël Vila; Valentine Wargnier-Dauchelle; Sorina Camarasu-Pop; Carole Frindel (ISBI, 2023)

Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis. - Inés Gonzalez Pepe; Vinuyan Sivakolunthu; Hae Lang Park; Yohan Chatelain; Tristan Glatard (UNSURE@MICCAI, 2023)

PyTracer: Automatically Profiling Numerical Instabilities in Python. - Yohan Chatelain; Nigel Yong Sao Young; Gregory Kiar; Tristan Glatard (IEEE Trans. Computers, 2023)

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. - Gaël Vila; Emmanuel Medernach; Inés Gonzalez Pepe; Axel Bonnet; Yohan Chatelain; Michaël Sdika; Tristan Glatard; Sorina Camarasu-Pop (ACM-REP, 2024)

An Analysis of Performance Bottlenecks in MRI Pre-Processing. - Mathieu Dugré; Yohan Chatelain; Tristan Glatard (CoRR, 2024)

Transformation matrix results (.mat files) produced with the FSL FLIRT application (v6.0.5.1) within a reproducibilty study. - Emmanuel Medernach; Gaël Vila; Inés Gonzalez Pepe; Axel Bonnet; Yohan Chatelain; Michaël Sdika; Tristan Glatard; Sorina Camarasu-Pop (Zenodo, 2024)

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 (IEEE Trans. Computers, 2025)