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2004.02082
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On Tractable Representations of Binary Neural Networks
5 April 2020
Weijia Shi
Andy Shih
Adnan Darwiche
Arthur Choi
TPM
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Papers citing
"On Tractable Representations of Binary Neural Networks"
36 / 36 papers shown
Title
Semantic Probabilistic Control of Language Models
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Catarina G Belém
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Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
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Srecko Ðurasinovic
Jean B. Lasserre
Victor Magron
Jun Zhao
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126
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27 May 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
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Jiajing Ling
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68
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07 Feb 2024
Attribution-Scores in Data Management and Explainable Machine Learning
Leopoldo Bertossi
XAI
FAtt
CML
59
1
0
31 Jul 2023
Formally Explaining Neural Networks within Reactive Systems
Shahaf Bassan
Guy Amir
Davide Corsi
Idan Refaeli
Guy Katz
AAML
104
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31 Jul 2023
Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
Yiping Tang
Kohei Hatano
Eiji Takimoto
23
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0
08 Jun 2023
Logic for Explainable AI
Adnan Darwiche
73
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09 May 2023
A New Class of Explanations for Classifiers with Non-Binary Features
Chunxi Ji
Adnan Darwiche
FAtt
74
3
0
28 Apr 2023
Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation
Leopoldo Bertossi
Jorge E. Leon
FAtt
114
2
0
11 Mar 2023
Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence
Leopoldo Bertossi
XAI
CML
88
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0
06 Mar 2023
Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks
Shahaf Bassan
Guy Katz
FAtt
AAML
112
26
0
25 Oct 2022
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRM
XAI
135
40
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24 Oct 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
69
2
0
18 Aug 2022
ASTERYX : A model-Agnostic SaT-basEd appRoach for sYmbolic and score-based eXplanations
Ryma Boumazouza
Fahima Cheikh
Bertrand Mazure
Karim Tabia
72
32
0
23 Jun 2022
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration
Ryma Boumazouza
Fahima Cheikh-Alili
Bertrand Mazure
Karim Tabia
49
0
0
23 Jun 2022
A Symbolic Approach for Counterfactual Explanations
Ryma Boumazouza
Fahima Cheikh
Bertrand Mazure
Karim Tabia
BDL
47
9
0
20 Jun 2022
On Tackling Explanation Redundancy in Decision Trees
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
100
64
0
20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks
Ouns El Harzli
Bernardo Cuenca Grau
Ian Horrocks
FAtt
73
6
0
19 May 2022
Deep Learning with Logical Constraints
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAI
AI4CE
109
62
0
01 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
Principled Diverse Counterfactuals in Multilinear Models
I. Papantonis
Vaishak Belle
AAML
43
3
0
17 Jan 2022
On Quantifying Literals in Boolean Logic and Its Applications to Explainable AI
Adnan Darwiche
Pierre Marquis
41
26
0
23 Aug 2021
Explanations for Monotonic Classifiers
Sasha Rubin
Thomas Gerspacher
M. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
96
46
0
01 Jun 2021
A unified logical framework for explanations in classifier systems
Xinghan Liu
E. Lorini
67
12
0
30 May 2021
Probabilistic Sufficient Explanations
Eric Wang
Pasha Khosravi
Guy Van den Broeck
XAI
FAtt
TPM
174
25
0
21 May 2021
Provable Guarantees on the Robustness of Decision Rules to Causal Interventions
Benjie Wang
Clare Lyle
Marta Z. Kwiatkowska
TPM
38
7
0
19 May 2021
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 the Complexity of SHAP-Score-Based Explanations: Tractability via Knowledge Compilation and Non-Approximability Results
Marcelo Arenas
Pablo Barceló
Leopoldo Bertossi
Mikaël Monet
FAtt
68
35
0
16 Apr 2021
Declarative Approaches to Counterfactual Explanations for Classification
Leopoldo Bertossi
67
17
0
15 Nov 2020
Model Interpretability through the Lens of Computational Complexity
Pablo Barceló
Mikaël Monet
Jorge A. Pérez
Bernardo Subercaseaux
212
98
0
23 Oct 2020
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Sasha Rubin
Thomas Gerspacher
Martin C. Cooper
Alexey Ignatiev
Nina Narodytska
FAtt
72
63
0
13 Aug 2020
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
Dylan Slack
Sophie Hilgard
Sameer Singh
Himabindu Lakkaraju
FAtt
134
163
0
11 Aug 2020
The Tractability of SHAP-Score-Based Explanations over Deterministic and Decomposable Boolean Circuits
Marcelo Arenas
Pablo Barceló
Mikaël Monet
FAtt
80
8
0
28 Jul 2020
On Symbolically Encoding the Behavior of Random Forests
Arthur Choi
Andy Shih
Anchal Goyanka
Adnan Darwiche
AI4CE
60
32
0
03 Jul 2020
Three Modern Roles for Logic in AI
Adnan Darwiche
AI4CE
133
56
0
18 Apr 2020
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