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2010.11034
Cited By
On Explaining Decision Trees
21 October 2020
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
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Papers citing
"On Explaining Decision Trees"
15 / 15 papers shown
Title
A Mathematical Philosophy of Explanations in Mechanistic Interpretability -- The Strange Science Part I.i
Kola Ayonrinde
Louis Jaburi
MILM
86
1
0
01 May 2025
Logic for Explainable AI
Adnan Darwiche
30
8
0
09 May 2023
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
47
39
0
24 Oct 2022
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
26
12
0
16 Sep 2022
On Computing Relevant Features for Explaining NBCs
Yacine Izza
Sasha Rubin
28
5
0
11 Jul 2022
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera
Gilles Louppe
V. A. Huynh-Thu
L. Wehenkel
Pierre Geurts
FAtt
23
7
0
03 Nov 2021
Foundations of Symbolic Languages for Model Interpretability
Marcelo Arenas
Daniel Baez
Pablo Barceló
Jorge A. Pérez
Bernardo Subercaseaux
ReLM
LRM
21
24
0
05 Oct 2021
On Efficiently Explaining Graph-Based Classifiers
Xuanxiang Huang
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
28
37
0
02 Jun 2021
Probabilistic Sufficient Explanations
Eric Wang
Pasha Khosravi
Guy Van den Broeck
XAI
FAtt
TPM
22
22
0
21 May 2021
SAT-Based Rigorous Explanations for Decision Lists
Alexey Ignatiev
Sasha Rubin
XAI
9
44
0
14 May 2021
On the Computational Intelligibility of Boolean Classifiers
Gilles Audemard
S. Bellart
Louenas Bounia
F. Koriche
Jean-Marie Lagniez
Pierre Marquis
17
56
0
13 Apr 2021
Model Learning with Personalized Interpretability Estimation (ML-PIE)
M. Virgolin
A. D. Lorenzo
Francesca Randone
Eric Medvet
M. Wahde
24
29
0
13 Apr 2021
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Sasha Rubin
Thomas Gerspacher
Martin C. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
14
58
0
13 Aug 2020
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
51
195
0
06 Apr 2017
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