Disproving XAI Myths with Formal Methods -- Initial Results

13 May 2023

Papers citing "Disproving XAI Myths with Formal Methods -- Initial Results"

6 / 6 papers shown

Title
Logic-Based Explainability in Machine Learning João Marques-Silva LRM XAI 31 39 0 24 Oct 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev João Marques-Silva FAtt 48 57 0 20 May 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 233 488 0 31 Dec 2020
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 114 94 0 23 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,233 0 24 Jun 2017