3 papers
cs.LG2025
AQUATIC-Diff: Additive Quantization for Truly Tiny Compressed Diffusion Models
Adil Hasan, Thomas Peyrin
Significant investments have been made towards the commodification of diffusion models for generation of diverse media. Their mass-market adoption is however still hobbled by the i…
cs.LG2023
A New Interpretable Neural Network-Based Rule Model for Healthcare Decision Making
Adrien Benamira, Tristan Guerand, Thomas Peyrin
In healthcare applications, understanding how machine/deep learning models make decisions is crucial. In this study, we introduce a neural network framework, $\textit{Truth Table r…
cs.AI2023
Neural Network-Based Rule Models With Truth Tables
Adrien Benamira, Tristan Guérand, Thomas Peyrin +1
Understanding the decision-making process of a machine/deep learning model is crucial, particularly in security-sensitive applications. In this study, we introduce a neural network…