most citedUncertain but Useful: Leveraging CNN Training Variability into Data Augmentation

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cs.LG2026

Fuzzy PyTorch: Rapid Numerical Variability Evaluation for Deep Learning Models

Inés Gonzalez-Pepe, Hiba Akhaddar, Tristan Glatard +1

We introduce Fuzzy PyTorch, a framework for rapid evaluation of numerical variability in deep learning (DL) models. As DL is increasingly applied to diverse tasks, understanding va…

cs.LG2026

Conservative & Aggressive NaNs Accelerate U-Nets for Neuroimaging

Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Jacob Fortin +2

Deep learning models for neuroimaging increasingly rely on large architectures, making efficiency a persistent concern despite advances in hardware. Through an analysis of numerica…