2 citations · 3 across the 6 of their papers we have counts for
7 papers
Generalized Functional ANOVA: A Complete Theoretical Framework
Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +1
The functional ANOVA provides a fundamental representation of square-integrable multivariate functions into main effects and higher-order interactions. For independent inputs, the…
Exact Functional ANOVA Decomposition for Categorical Inputs Models
Baptiste Ferrere, Nicolas Bousquet, Fabrice Gamboa +2
Functional ANOVA offers a principled framework for interpretability by decomposing a model's prediction into main effects and higher-order interactions. For independent features, t…
WTNN: Weibull-Tailored Neural Networks for survival analysis
Gabrielle Rives, Olivier Lopez, Nicolas Bousquet
The Weibull distribution is a commonly adopted choice for modeling the survival of systems subject to maintenance over time. When only proxy indicators and censored observations ar…
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier +9
We introduce PASTA (Perceptual Assessment System for explanaTion of Artificial Intelligence), a novel human-centric framework for evaluating eXplainable AI (XAI) techniques in comp…
Fisher-Rao distance between truncated distributions and robustness analysis in uncertainty quantification
Baalu Belay Ketema, Nicolas Bousquet, Francesco Costantino +3
Input variables in numerical models are often subject to several levels of uncertainty, usually modeled by probability distributions. In the context of uncertainty quantification a…
Computing conservative probabilities of rare events with surrogates
Nicolas Bousquet
This article provides a critical review of the main methods used to produce conservative estimators of probabilities of rare events, or critical failures, for reliability and certi…
Density modification based reliability sensitivity analysis
Paul Lemaître, Ekatarina Sergienko, Aurélie Arnaud +3
Sensitivity analysis of a numerical model, for instance simulating physical phenomena, is useful to quantify the influence of the inputs on the model responses. This paper proposes…