Scrutinizing XAI using linear ground-truth data with suppressor
variables

v1v2 (latest)

Scrutinizing XAI using linear ground-truth data with suppressor variables

14 November 2021

Céline Budding

ArXiv (abs)PDF HTML

Papers citing "Scrutinizing XAI using linear ground-truth data with suppressor variables"

12 / 12 papers shown

Title
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye Stefan Haufe Lars Kai Hansen 251 0 0 16 May 2025
Lost in Context: The Influence of Context on Feature Attribution Methods for Object Recognition Sayanta Adhikari Rishav Kumar Konda Reddy Mopuri Rajalakshmi Pachamuthu 89 0 0 05 Nov 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 77 2 0 22 Sep 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 100 2 0 17 Jun 2024
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods Benedict Clark Rick Wilming Artur Dox Paul Eschenbach Sami Hached ... Hjalmar Schulz Luca Matteo Cornils Danny Panknin Ahcène Boubekki Stefan Haufe 41 0 0 20 May 2024
What's meant by explainable model: A Scoping Review Mallika Mainali Rosina O. Weber XAI 52 0 0 18 Jul 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict Clark Rick Wilming Stefan Haufe 94 5 0 22 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 55 1 0 21 Jun 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction C. Mauri Stefano Cerri Oula Puonti Mark Muhlau Koen van Leemput MedIm AI4CE 95 0 0 19 Jun 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables Rick Wilming Leo Kieslich Benedict Clark Stefan Haufe 74 10 0 02 Jun 2023
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction José Ribeiro Nikolas Carneiro Ronnie Cley de Oliveira Alves 45 0 0 19 Oct 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.3K 17,178 0 16 Feb 2016