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 Sasha Rubin LRM XAI 50 39 0 24 Oct 2022
On Tackling Explanation Redundancy in Decision Trees Yacine Izza Alexey Ignatiev Sasha Rubin FAtt 48 58 0 20 May 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 489 0 31 Dec 2020
Model Interpretability through the Lens of Computational Complexity Pablo Barceló Mikaël Monet Jorge A. Pérez Bernardo Subercaseaux 126 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 335 4,223 0 23 Aug 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017