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On Validating, Repairing and Refining Heuristic ML Explanations

On Validating, Repairing and Refining Heuristic ML Explanations

4 July 2019
Alexey Ignatiev
Nina Narodytska
Sasha Rubin
    FAttLRM
ArXiv (abs)PDFHTML

Papers citing "On Validating, Repairing and Refining Heuristic ML Explanations"

17 / 17 papers shown
Title
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
74
3
0
28 Apr 2023
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural
  Networks
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks
Shahaf Bassan
Guy Katz
FAttAAML
112
26
0
25 Oct 2022
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
135
40
0
24 Oct 2022
Computing Abductive Explanations for Boosted Trees
Computing Abductive Explanations for Boosted Trees
Gilles Audemard
Jean-Marie Lagniez
Pierre Marquis
N. Szczepanski
84
14
0
16 Sep 2022
Eliminating The Impossible, Whatever Remains Must Be True
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
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
98
64
0
20 May 2022
On the Computation of Necessary and Sufficient Explanations
On the Computation of Necessary and Sufficient Explanations
Adnan Darwiche
Chunxi Ji
FAtt
62
19
0
20 Mar 2022
Consistent Sufficient Explanations and Minimal Local Rules for
  explaining regression and classification models
Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models
Salim I. Amoukou
Nicolas Brunel
FAttLRM
84
5
0
08 Nov 2021
Provably efficient, succinct, and precise explanations
Provably efficient, succinct, and precise explanations
Guy Blanc
Jane Lange
Li-Yang Tan
FAtt
125
38
0
01 Nov 2021
On Efficiently Explaining Graph-Based Classifiers
On Efficiently Explaining Graph-Based Classifiers
Xuanxiang Huang
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
118
39
0
02 Jun 2021
Probabilistic Sufficient Explanations
Probabilistic Sufficient Explanations
Eric Wang
Pasha Khosravi
Guy Van den Broeck
XAIFAttTPM
174
25
0
21 May 2021
SAT-Based Rigorous Explanations for Decision Lists
SAT-Based Rigorous Explanations for Decision Lists
Alexey Ignatiev
Sasha Rubin
XAI
65
46
0
14 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa
A. Zbrzezny
Rhiannon Michelmore
Nicola Paoletti
Marta Z. Kwiatkowska
FAtt
77
48
0
08 May 2021
On Relating 'Why?' and 'Why Not?' Explanations
On Relating 'Why?' and 'Why Not?' Explanations
Alexey Ignatiev
Nina Narodytska
Nicholas M. Asher
Sasha Rubin
XAIFAttLRM
59
26
0
21 Dec 2020
Three Modern Roles for Logic in AI
Three Modern Roles for Logic in AI
Adnan Darwiche
AI4CE
133
56
0
18 Apr 2020
On The Reasons Behind Decisions
On The Reasons Behind Decisions
Adnan Darwiche
Auguste Hirth
FaML
74
149
0
21 Feb 2020
From Shallow to Deep Interactions Between Knowledge Representation,
  Reasoning and Machine Learning (Kay R. Amel group)
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
Zied Bouraoui
Antoine Cornuéjols
Thierry Denoeux
Sebastien Destercke
Didier Dubois
...
Jérôme Mengin
H. Prade
Steven Schockaert
M. Serrurier
Christel Vrain
128
14
0
13 Dec 2019
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