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On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI
23 August 2021
Adnan Darwiche
Pierre Marquis
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Papers citing
"On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI"
8 / 8 papers shown
Title
A New Class of Explanations for Classifiers with Non-Binary Features
Chunxi Ji
Adnan Darwiche
FAtt
76
3
0
28 Apr 2023
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
Alexis de Colnet
Pierre Marquis
53
9
0
30 Jan 2023
Feature Necessity & Relevancy in ML Classifier Explanations
Xuanxiang Huang
Martin C. Cooper
António Morgado
Jordi Planes
Sasha Rubin
FAtt
69
19
0
27 Oct 2022
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
137
40
0
24 Oct 2022
Eliminating The Impossible, Whatever Remains Must Be True
Jinqiang Yu
Alexey Ignatiev
Peter Stuckey
Nina Narodytska
Sasha Rubin
89
23
0
20 Jun 2022
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
100
64
0
20 May 2022
On the Computation of Necessary and Sufficient Explanations
Adnan Darwiche
Chunxi Ji
FAtt
62
19
0
20 Mar 2022
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
81
13
0
07 Feb 2022
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