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On The Reasons Behind Decisions

On The Reasons Behind Decisions

21 February 2020
Adnan Darwiche
Auguste Hirth
    FaML
ArXivPDFHTML

Papers citing "On The Reasons Behind Decisions"

30 / 30 papers shown
Title
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
Axiomatic Characterisations of Sample-based Explainers
Axiomatic Characterisations of Sample-based Explainers
Leila Amgoud
Martin Cooper
Salim Debbaoui
FAtt
44
1
0
09 Aug 2024
Logic for Explainable AI
Logic for Explainable AI
Adnan Darwiche
35
8
0
09 May 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
28
3
0
28 Apr 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles
John Törnblom
Emil Karlsson
Simin Nadjm-Tehrani
FAtt
54
0
0
16 Mar 2023
On the Complexity of Enumerating Prime Implicants from Decision-DNNF
  Circuits
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
Alexis de Colnet
Pierre Marquis
20
9
0
30 Jan 2023
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical
  Report]
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report]
Hamed Ayoobi
Nico Potyka
Francesca Toni
24
17
0
23 Jan 2023
VeriX: Towards Verified Explainability of Deep Neural Networks
VeriX: Towards Verified Explainability of Deep Neural Networks
Min Wu
Haoze Wu
Clark W. Barrett
AAML
42
11
0
02 Dec 2022
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
50
39
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
31
12
0
16 Sep 2022
On Computing Relevant Features for Explaining NBCs
On Computing Relevant Features for Explaining NBCs
Yacine Izza
Sasha Rubin
36
5
0
11 Jul 2022
Eliminating The Impossible, Whatever Remains Must Be True
Eliminating The Impossible, Whatever Remains Must Be True
Jinqiang Yu
Alexey Ignatiev
Peter J. Stuckey
Nina Narodytska
Sasha Rubin
22
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
48
58
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
13
19
0
20 Mar 2022
Tractable Boolean and Arithmetic Circuits
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
36
12
0
07 Feb 2022
Causal Explanations and XAI
Causal Explanations and XAI
Sander Beckers
CML
XAI
26
35
0
31 Jan 2022
Provably efficient, succinct, and precise explanations
Provably efficient, succinct, and precise explanations
Guy Blanc
Jane Lange
Li-Yang Tan
FAtt
37
35
0
01 Nov 2021
Foundations of Symbolic Languages for Model Interpretability
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 Quantifying Literals in Boolean Logic and Its Applications to
  Explainable AI
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI
Adnan Darwiche
Pierre Marquis
8
26
0
23 Aug 2021
On Efficiently Explaining Graph-Based Classifiers
On Efficiently Explaining Graph-Based Classifiers
Xuanxiang Huang
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
34
37
0
02 Jun 2021
A unified logical framework for explanations in classifier systems
A unified logical framework for explanations in classifier systems
Xinghan Liu
E. Lorini
20
12
0
30 May 2021
Argumentative XAI: A Survey
Argumentative XAI: A Survey
Kristijonas vCyras
Antonio Rago
Emanuele Albini
P. Baroni
Francesca Toni
18
142
0
24 May 2021
Probabilistic Sufficient Explanations
Probabilistic Sufficient Explanations
Eric Wang
Pasha Khosravi
Mathias Niepert
XAI
FAtt
TPM
30
23
0
21 May 2021
SAT-Based Rigorous Explanations for Decision Lists
SAT-Based Rigorous Explanations for Decision Lists
Alexey Ignatiev
Sasha Rubin
XAI
25
44
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
13
47
0
08 May 2021
On the Computational Intelligibility of Boolean Classifiers
On the Computational Intelligibility of Boolean Classifiers
Gilles Audemard
S. Bellart
Louenas Bounia
F. Koriche
Jean-Marie Lagniez
Pierre Marquis
19
56
0
13 Apr 2021
Explanation from Specification
Explanation from Specification
Harish Naik
Gyorgy Turán
XAI
27
0
0
13 Dec 2020
Declarative Approaches to Counterfactual Explanations for Classification
Declarative Approaches to Counterfactual Explanations for Classification
Leopoldo Bertossi
37
17
0
15 Nov 2020
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
The Tractability of SHAP-Score-Based Explanations over Deterministic and
  Decomposable Boolean Circuits
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits
Marcelo Arenas
Pablo Barceló
Mikaël Monet
FAtt
28
8
0
28 Jul 2020
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