Inés Gonzalez Pepe

According to our database, Inés Gonzalez Pepe authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging.

Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Jacob Fortin, Yohan Chatelain, Tristan Glatard

CoRR, January, 2026

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models.

Inés Gonzalez Pepe, Hiba Akhaddar, Tristan Glatard, Yohan Chatelain

Trans. Mach. Learn. Res., 2026

2025

Uncertain but Useful: Leveraging CNN Variability into Data Augmentation.

Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Yohan Chatelain, Tristan Glatard

CoRR, September, 2025

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

Dataset, February, 2024

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

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

2023

mr_proc.

Nikhil Bhagwat, Michelle Wang, Brent McPherson, Inés Gonzalez Pepe, Jean-Baptiste Poline

Dataset, June, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023

2022

Numerical Stability of DeepGOPlus Inference.

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

CoRR, 2022