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Logic for Explainable AI

Logic for Explainable AI

9 May 2023
Adnan Darwiche
ArXivPDFHTML

Papers citing "Logic for Explainable AI"

9 / 9 papers shown
Title
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
12
0
0
16 May 2025
On the Complexity of Global Necessary Reasons to Explain Classification
On the Complexity of Global Necessary Reasons to Explain Classification
M. Calautti
Enrico Malizia
Cristian Molinaro
FAtt
63
0
0
12 Jan 2025
When is the Computation of a Feature Attribution Method Tractable?
P. Barceló
R. Cominetti
M. Morgado
TDI
FAtt
103
0
0
04 Jan 2025
Local vs. Global Interpretability: A Computational Complexity
  Perspective
Local vs. Global Interpretability: A Computational Complexity Perspective
Shahaf Bassan
Guy Amir
Guy Katz
43
6
0
05 Jun 2024
The Pros and Cons of Adversarial Robustness
The Pros and Cons of Adversarial Robustness
Yacine Izza
Sasha Rubin
AAML
27
1
0
18 Dec 2023
A New Class of Explanations for Classifiers with Non-Binary Features
A New Class of Explanations for Classifiers with Non-Binary Features
Chunxi Ji
Adnan Darwiche
FAtt
26
3
0
28 Apr 2023
Computing Abductive Explanations for Boosted Trees
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
28
12
0
16 Sep 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
48
58
0
20 May 2022
Model Interpretability through the Lens of Computational Complexity
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
126
94
0
23 Oct 2020
1