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Three Modern Roles for Logic in AI

Three Modern Roles for Logic in AI

ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems (PODS), 2020
18 April 2020
Adnan Darwiche
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Three Modern Roles for Logic in AI"

19 / 19 papers shown
Logic-Based Explainability: Past, Present & Future
Logic-Based Explainability: Past, Present & Future
Joao Marques-Silva
355
3
0
04 Jun 2024
Contestable AI needs Computational Argumentation
Contestable AI needs Computational ArgumentationInternational Conference on Principles of Knowledge Representation and Reasoning (KR), 2024
Francesco Leofante
Hamed Ayoobi
Adam Dejl
Gabriel Freedman
Deniz Gorur
...
Anna Rapberger
Fabrizio Russo
Xiang Yin
Dekai Zhang
Francesca Toni
320
15
0
17 May 2024
Logic for Explainable AI
Logic for Explainable AILogic in Computer Science (LICS), 2023
Adnan Darwiche
315
27
0
09 May 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
563
64
0
24 Oct 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 eXplanationsInternational Conference on Information and Knowledge Management (CIKM), 2021
Ryma Boumazouza
Fahima Cheikh
Bertrand Mazure
Karim Tabia
247
38
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
249
0
0
23 Jun 2022
On Tackling Explanation Redundancy in Decision Trees
On Tackling Explanation Redundancy in Decision TreesJournal of Artificial Intelligence Research (JAIR), 2022
Yacine Izza
Alexey Ignatiev
Sasha Rubin
FAtt
356
77
0
20 May 2022
Cardinality-Minimal Explanations for Monotonic Neural Networks
Cardinality-Minimal Explanations for Monotonic Neural NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Ouns El Harzli
Bernardo Cuenca Grau
Ian Horrocks
FAtt
412
11
0
19 May 2022
Tractable Boolean and Arithmetic Circuits
Tractable Boolean and Arithmetic Circuits
Adnan Darwiche
TPM
256
17
0
07 Feb 2022
Design of quantum optical experiments with logic artificial intelligence
Design of quantum optical experiments with logic artificial intelligenceQuantum (Quantum), 2021
Alba Cervera-Lierta
Mario Krenn
A. Aspuru‐Guzik
178
18
0
27 Sep 2021
Exact Learning Augmented Naive Bayes Classifier
Exact Learning Augmented Naive Bayes Classifier
Shouta Sugahara
M. Ueno
BDL
138
41
0
07 Jul 2021
Sufficient reasons for classifier decisions in the presence of
  constraints
Sufficient reasons for classifier decisions in the presence of constraints
Niku Gorji
S. Rubin
280
3
0
12 May 2021
On Guaranteed Optimal Robust Explanations for NLP Models
On Guaranteed Optimal Robust Explanations for NLP ModelsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Emanuele La Malfa
A. Zbrzezny
Rhiannon Michelmore
Nicola Paoletti
Marta Z. Kwiatkowska
FAtt
298
63
0
08 May 2021
Adversarial Robustness Guarantees for Gaussian Processes
Adversarial Robustness Guarantees for Gaussian ProcessesJournal of machine learning research (JMLR), 2021
A. Patané
Arno Blaas
Luca Laurenti
L. Cardelli
Stephen J. Roberts
Marta Z. Kwiatkowska
GPAAML
364
10
0
07 Apr 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
296
30
0
21 Dec 2020
The Relational Data Borg is Learning
The Relational Data Borg is Learning
Dan Olteanu
158
27
0
18 Aug 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
345
79
0
13 Aug 2020
Computing Optimal Decision Sets with SAT
Computing Optimal Decision Sets with SATInternational Conference on Principles and Practice of Constraint Programming (CP), 2020
Jinqiang Yu
Alexey Ignatiev
Peter Stuckey
P. L. Bodic
FAtt
303
28
0
29 Jul 2020
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite
  Domains
Symbolic Logic meets Machine Learning: A Brief Survey in Infinite Domains
Vaishak Belle
NAILRM
333
39
0
15 Jun 2020
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