Inés Gonzalez Pepe

PhD student, Computer Science and Software Engineering, Concordia University

Joined

September 2024

Names

Inés Gonzalez Pepe (Preferred)

Emails

****@encs.concordia.ca (Confirmed)

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Computer Science and Software Engineering, Concordia University (concordia.ca)

2021 – 2026

Undergrad student

Computer Science and Software Engineering, Concordia University (concordia.ca)

2018 – 2021

Advisors, Relations & Conflicts

Coauthor

Vinuyan Sivakolunthu

2023 – 2025

PhD Advisor

Tristan Glatard

2021 – 2025

Coauthor

Yohan Chatelain

2021 – 2025

Coauthor

Jacob Fortin

2024 – 2024

Expertise

Deep learning

2021 – 2024

Numerical analysis

2021 – 2024

Neuroimaging

2021 – 2024

Publications

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models
Inés Gonzalez Pepe, Hiba Akhaddar, Tristan Glatard, Yohan Chatelain
- Accepted by TMLR
- Readers: Everyone
Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Jacob Fortin, Yohan Chatelain, Tristan Glatard
- Submitted to ICLR 2026
- Readers: Everyone
NaN Pooling and Convolution Accelerate U-Nets
Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Jacob Fortin, Yohan Chatelain, Tristan Glatard
- Submitted to ICLR 2025
- Readers: Everyone
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
- Readers: Everyone
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
- Readers: Everyone
Numerical Stability of DeepGOPlus Inference
Inés Gonzalez Pepe, Yohan Chatelain, Gregory Kiar, Tristan Glatard
- CoRR 2022
- Readers: Everyone

Inés Gonzalez Pepe

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging

NaN Pooling and Convolution Accelerate U-Nets

The Impact of Hardware Variability on Applications Packaged with Docker and Guix: a Case Study in Neuroimaging

Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis

Numerical Stability of DeepGOPlus Inference

Co-Authors