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Alexey Ignatiev
Alexey Ignatiev
Faculty of Information Technology, Monash University
Verifierad e-postadress på monash.edu - Startsida
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PySAT: A Python toolkit for prototyping with SAT oracles
A Ignatiev, A Morgado, J Marques-Silva
International Conference on Theory and Applications of Satisfiability …, 2018
3112018
Abduction-based explanations for machine learning models
A Ignatiev, N Narodytska, J Marques-Silva
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1511-1519, 2019
2332019
Learning Optimal Decision Trees with SAT
N Narodytska, A Ignatiev, F Pereira, J Marques-Silva
IJCAI, 1362-1368, 2018
1572018
RC2: an efficient MaxSAT solver
A Ignatiev, A Morgado, J Marques-Silva
Journal on Satisfiability, Boolean Modeling and Computation 11 (1), 53-64, 2019
1432019
On relating explanations and adversarial examples
A Ignatiev, N Narodytska, J Marques-Silva
Advances in neural information processing systems 32, 2019
1352019
Towards Trustable Explainable AI
A Ignatiev
IJCAI, 5154-5158, 2020
1332020
Delivering trustworthy AI through formal XAI
J Marques-Silva, A Ignatiev
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12342 …, 2022
992022
Smallest MUS extraction with minimal hitting set dualization
A Ignatiev, A Previti, M Liffiton, J Marques-Silva
International Conference on Principles and Practice of Constraint …, 2015
952015
On explaining decision trees
Y Izza, A Ignatiev, J Marques-Silva
arXiv preprint arXiv:2010.11034, 2020
942020
From contrastive to abductive explanations and back again
A Ignatiev, N Narodytska, N Asher, J Marques-Silva
International Conference of the Italian Association for Artificial …, 2020
752020
A SAT-based approach to learn explainable decision sets
A Ignatiev, F Pereira, N Narodytska, J Marques-Silva
Automated Reasoning: 9th International Joint Conference, IJCAR 2018, Held as …, 2018
742018
Explaining naive bayes and other linear classifiers with polynomial time and delay
J Marques-Silva, T Gerspacher, M Cooper, A Ignatiev, N Narodytska
Advances in Neural Information Processing Systems 33, 20590-20600, 2020
712020
Assessing heuristic machine learning explanations with model counting
N Narodytska, A Shrotri, KS Meel, A Ignatiev, J Marques-Silva
Theory and Applications of Satisfiability Testing–SAT 2019: 22nd …, 2019
712019
Explanations for Monotonic Classifiers
J Marques-Silva, T Gerspacher, MC Cooper, A Ignatiev, N Narodytska
International Conference on Machine Learning, 7469-7479, 2021
592021
On validating, repairing and refining heuristic ML explanations
A Ignatiev, N Narodytska, J Marques-Silva
arXiv preprint arXiv:1907.02509, 2019
592019
MSCG: Robust core-guided MaxSAT solving
A Morgado, A Ignatiev, J Marques-Silva
Journal on Satisfiability, Boolean Modeling and Computation 9 (1), 129-134, 2014
582014
Efficient Model Based Diagnosis with Maximum Satisfiability
J Marques-Silva, M Janota, A Ignatiev, A Morgado
24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 2015
552015
On tackling explanation redundancy in decision trees
Y Izza, A Ignatiev, J Marques-Silva
Journal of Artificial Intelligence Research 75, 261-321, 2022
542022
On efficiently explaining graph-based classifiers
X Huang, Y Izza, A Ignatiev, J Marques-Silva
arXiv preprint arXiv:2106.01350, 2021
502021
SAT-based rigorous explanations for decision lists
A Ignatiev, J Marques-Silva
Theory and Applications of Satisfiability Testing–SAT 2021: 24th …, 2021
472021
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Artiklar 1–20