Yohan Chatelain

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Numerical Stability

Classification Accuracy

Top Venues

Publications

Gaël Vila, Emmanuel Medernach, Inés Gonzalez Pepe, Axel Bonnet, Yohan Chatelain, Michaël Sdika, Tristan Glatard, Sorina Camarasu-Pop
The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging. ACM-REP (2024)
Mathieu Dugré, Yohan Chatelain, Tristan Glatard
An Analysis of Performance Bottlenecks in MRI Pre-Processing. CoRR (2024)
Yohan Chatelain, Loïc Tetrel, Christopher J. Markiewicz, Mathias Goncalves, Gregory Kiar, Oscar Esteban, Pierre Bellec, Tristan Glatard
A numerical variability approach to results stability tests and its application to neuroimaging. CoRR (2023)
Yohan Chatelain, Nigel Yong Sao Young, Gregory Kiar, Tristan Glatard
PyTracer: Automatically Profiling Numerical Instabilities in Python. IEEE Trans. Computers 72 (6) (2023)
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard
Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis. UNSURE@MICCAI (2023)
Morgane Des Ligneris, Axel Bonnet, Yohan Chatelain, Tristan Glatard, Michaël Sdika, Gaël Vila, Valentine Wargnier-Dauchelle, Sorina Camarasu-Pop, Carole Frindel
Reproducibility of Tumor Segmentation Outcomes with a Deep Learning Model. ISBI (2023)
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard
Numerical Stability of DeepGOPlus Inference. CoRR (2022)
Gregory Kiar, Yohan Chatelain, Ali Salari, Alan C. Evans, Tristan Glatard
Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics. CoRR (2021)
Yohan Chatelain, Nigel Yong, Gregory Kiar, Tristan Glatard
PyTracer: Automatically profiling numerical instabilities in Python. CoRR (2021)
Ali Salari, Yohan Chatelain, Gregory Kiar, Tristan Glatard
Accurate Simulation of Operating System Updates in Neuroimaging Using Monte-Carlo Arithmetic. UNSURE/PIPPI@MICCAI (2021)
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
Reducing numerical precision preserves classification accuracy in Mondrian Forests. CoRR (2021)
Marc Vicuna, Martin Khannouz, Gregory Kiar, Yohan Chatelain, Tristan Glatard
Reducing numerical precision preserves classification accuracy in Mondrian Forests. IEEE BigData (2021)
Yohan Chatelain, Eric Petit, Pablo de Oliveira Castro, Ghislain Lartigue, David Defour
Automatic Exploration of Reduced Floating-Point Representations in Iterative Methods. Euro-Par (2019)
Yohan Chatelain, Pablo de Oliveira Castro, Eric Petit, David Defour, Jordan Bieder, Marc Torrent
VeriTracer: Context-enriched tracer for floating-point arithmetic analysis. ARITH (2018)
Mihail Popov, Chadi Akel, Yohan Chatelain, William Jalby, Pablo de Oliveira Castro
Piecewise holistic autotuning of parallel programs with CERE. Concurr. Comput. Pract. Exp. 29 (15) (2017)