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Explainability is NOT a Game
v1v2 (latest)

Explainability is NOT a Game

Communications of the ACM (CACM), 2023
27 June 2023
Sasha Rubin
Xuanxiang Huang
ArXiv (abs)PDFHTML

Papers citing "Explainability is NOT a Game"

17 / 17 papers shown
Title
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
Uncovering Bugs in Formal Explainers: A Case Study with PyXAI
Xuanxiang Huang
Yacine Izza
Alexey Ignatiev
Joao Marques-Silva
85
0
0
05 Nov 2025
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
Reda Marzouk
Shahaf Bassan
Guy Katz
FAtt
188
2
0
24 Oct 2025
Leveraging Association Rules for Better Predictions and Better Explanations
Leveraging Association Rules for Better Predictions and Better Explanations
Gilles Audemard
S. Coste-Marquis
Pierre Marquis
Mehdi Sabiri
N. Szczepanski
72
0
0
21 Oct 2025
Efficient & Correct Predictive Equivalence for Decision Trees
Efficient & Correct Predictive Equivalence for Decision Trees
Joao Marques-Silva
Alexey Ignatiev
160
0
0
22 Sep 2025
Investigating Feature Attribution for 5G Network Intrusion Detection
Investigating Feature Attribution for 5G Network Intrusion Detection
Federica Uccello
Simin Nadjm-Tehrani
FAtt
176
1
0
12 Sep 2025
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
Andrea Maldonado
Christian M. m. Frey
Sai Anirudh Aryasomayajula
Ludwig Zellner
Stephan A. Fahrenkrog-Petersen
Thomas Seidl
AI4TS
52
0
0
10 Sep 2025
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Rigorous Feature Importance Scores based on Shapley Value and Banzhaf Index
Xuanxiang Huang
Olivier Letoffe
Joao Marques-Silva
FAtt
104
0
0
16 Aug 2025
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery
A Fast Kernel-based Conditional Independence test with Application to Causal Discovery
Oliver Schacht
Biwei Huang
399
1
0
16 May 2025
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Shapley Revisited: Tractable Responsibility Measures for Query Answers
Meghyn Bienvenu
Diego Figueira
Pierre Lafourcade
177
3
0
28 Mar 2025
Understanding XAI Through the Philosopher's Lens: A Historical
  Perspective
Understanding XAI Through the Philosopher's Lens: A Historical Perspective
Martina Mattioli
Antonio Emanuele Cinà
Marcello Pelillo
XAI
209
0
0
26 Jul 2024
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
230
3
0
04 Jun 2024
The Pros and Cons of Adversarial Robustness
The Pros and Cons of Adversarial Robustness
Yacine Izza
Sasha Rubin
AAML
133
1
0
18 Dec 2023
Anytime Approximate Formal Feature Attribution
Anytime Approximate Formal Feature AttributionInternational Conference on Theory and Applications of Satisfiability Testing (SAT), 2023
Jinqiang Yu
Graham Farr
Alexey Ignatiev
Peter Stuckey
222
5
0
12 Dec 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open
  Challenges and Interdisciplinary Research Directions
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
396
350
0
30 Oct 2023
Refutation of Shapley Values for XAI -- Additional Evidence
Refutation of Shapley Values for XAI -- Additional Evidence
Xuanxiang Huang
Sasha Rubin
AAML
197
4
0
30 Sep 2023
A Refutation of Shapley Values for Explainability
A Refutation of Shapley Values for Explainability
Xuanxiang Huang
Sasha Rubin
FAtt
302
3
0
06 Sep 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.9K
19,183
0
16 Feb 2016
1