3 papers
cs.LG2026
When Are Two Scores Better Than One? Investigating Ensembles of Diffusion Models
Raphaël Razafindralambo, Rémy Sun, Frédéric Precioso +2
Diffusion models now generate high-quality, diverse samples, with an increasing focus on more powerful models. Although ensembling is a well-known way to improve supervised models,…
cs.LG2025
On The Variability of Concept Activation Vectors
Julia Wenkmann, Damien Garreau
One of the most pressing challenges in artificial intelligence is to make models more transparent to their users. Recently, explainable artificial intelligence has come up with num…
cs.LG2025
Feature Attribution from First Principles
Magamed Taimeskhanov, Damien Garreau
Feature attribution methods are a popular approach to explain the behavior of machine learning models. They assign importance scores to each input feature, quantifying their influe…