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On Tractable Representations of Binary Neural Networks
v1v2 (latest)

On Tractable Representations of Binary Neural Networks

5 April 2020
Weijia Shi
Andy Shih
Adnan Darwiche
Arthur Choi
    TPMOffRL
ArXiv (abs)PDFHTML

Papers citing "On Tractable Representations of Binary Neural Networks"

36 / 36 papers shown
Title
Semantic Probabilistic Control of Language Models
Semantic Probabilistic Control of Language Models
Kareem Ahmed
Catarina G Belém
Padhraic Smyth
Sameer Singh
115
1
0
04 May 2025
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Verifying Properties of Binary Neural Networks Using Sparse Polynomial Optimization
Jianting Yang
Srecko Ðurasinovic
Jean B. Lasserre
Victor Magron
Jun Zhao
AAML
126
1
0
27 May 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
J. Brahmanage
Jiajing Ling
Akshat Kumar
68
4
0
07 Feb 2024
Attribution-Scores in Data Management and Explainable Machine Learning
Attribution-Scores in Data Management and Explainable Machine Learning
Leopoldo Bertossi
XAIFAttCML
59
1
0
31 Jul 2023
Formally Explaining Neural Networks within Reactive Systems
Formally Explaining Neural Networks within Reactive Systems
Shahaf Bassan
Guy Amir
Davide Corsi
Idan Refaeli
Guy Katz
AAML
104
16
0
31 Jul 2023
Boosting-based Construction of BDDs for Linear Threshold Functions and
  Its Application to Verification of Neural Networks
Boosting-based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks
Yiping Tang
Kohei Hatano
Eiji Takimoto
23
0
0
08 Jun 2023
Logic for Explainable AI
Logic for Explainable AI
Adnan Darwiche
73
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
74
3
0
28 Apr 2023
Efficient Computation of Shap Explanation Scores for Neural Network
  Classifiers via Knowledge Compilation
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
Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence
Leopoldo Bertossi
XAICML
88
5
0
06 Mar 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
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
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
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
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
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
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
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
Deep Learning with Logical Constraints
Eleonora Giunchiglia
Mihaela C. Stoian
Thomas Lukasiewicz
NAIAI4CE
109
62
0
01 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
Tractable Boolean and Arithmetic Circuits
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
81
13
0
07 Feb 2022
Principled Diverse Counterfactuals in Multilinear Models
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
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
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
A unified logical framework for explanations in classifier systems
Xinghan Liu
E. Lorini
67
12
0
30 May 2021
Probabilistic Sufficient Explanations
Probabilistic Sufficient Explanations
Eric Wang
Pasha Khosravi
Guy Van den Broeck
XAIFAttTPM
174
25
0
21 May 2021
Provable Guarantees on the Robustness of Decision Rules to Causal
  Interventions
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
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
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
Declarative Approaches to Counterfactual Explanations for Classification
Leopoldo Bertossi
67
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
212
98
0
23 Oct 2020
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time
  and Delay
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
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
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
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
Three Modern Roles for Logic in AI
Adnan Darwiche
AI4CE
133
56
0
18 Apr 2020
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