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Alexey Ignatiev
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- affiliation: Monash University, Melbourne, Australia
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2020 – today
- 2024
- [j11]Elvira Albert, Maria Garcia de la Banda, Alejandro Hernández-Cerezo, Alexey Ignatiev, Albert Rubio, Peter J. Stuckey:
SuperStack: Superoptimization of Stack-Bytecode via Greedy, Constraint-Based, and SAT Techniques. Proc. ACM Program. Lang. 8(PLDI): 1437-1462 (2024) - [j10]Jinqiang Yu, Michael Fu, Alexey Ignatiev, Chakkrit Tantithamthavorn, Peter J. Stuckey:
A Formal Explainer for Just-In-Time Defect Predictions. ACM Trans. Softw. Eng. Methodol. 33(7): 187:1-187:31 (2024) - [c60]Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva:
Delivering Inflated Explanations. AAAI 2024: 12744-12753 - [c59]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. KR 2024 - [c58]Alexey Ignatiev, Zi Li Tan, Christos Karamanos:
Towards Universally Accessible SAT Technology. SAT 2024: 16:1-16:11 - [c57]Jinqiang Yu, Graham Farr, Alexey Ignatiev, Peter J. Stuckey:
Anytime Approximate Formal Feature Attribution. SAT 2024: 30:1-30:23 - [d1]Elvira Albert, Maria Garcia de la Banda, Alejandro Hernández-Cerezo, Alexey Ignatiev, Albert Rubio, Peter J. Stuckey:
Artifact for "SuperStack: Superoptimization of Stack-Bytecode via Greedy, Constraint-based, and SAT Techniques". Zenodo, 2024 - [i28]Yacine Izza, Xuanxiang Huang, António Morgado, Jordi Planes, Alexey Ignatiev, João Marques-Silva:
Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation. CoRR abs/2405.08297 (2024) - [i27]Zhixi Cai, Cristian Rojas Cardenas, Kevin Leo, Chenyuan Zhang, Kal Backman, Hanbing Li, Boying Li, Mahsa Ghorbanali, Stavya Datta, Lizhen Qu, Julian Gutierrez Santiago, Alexey Ignatiev, Yuan-Fang Li, Mor Vered, Peter J. Stuckey, Maria Garcia de la Banda, Hamid Rezatofighi:
NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions. CoRR abs/2409.10196 (2024) - [i26]Sushmita Paul, Jinqiang Yu, Jip J. Dekker, Alexey Ignatiev, Peter J. Stuckey:
Formal Explanations for Neuro-Symbolic AI. CoRR abs/2410.14219 (2024) - 2023
- [j9]João Marques-Silva, Alexey Ignatiev:
No silver bullet: interpretable ML models must be explained. Frontiers Artif. Intell. 6 (2023) - [j8]Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On computing probabilistic abductive explanations. Int. J. Approx. Reason. 159: 108939 (2023) - [c56]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, João Marques-Silva:
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations. AAAI 2023: 4123-4131 - [c55]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey:
From Formal Boosted Tree Explanations to Interpretable Rule Sets. CP 2023: 38:1-38:21 - [c54]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees (Extended Abstract). IJCAI 2023: 6900-6904 - [i25]Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, João Marques-Silva:
Delivering Inflated Explanations. CoRR abs/2306.15272 (2023) - [i24]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey:
On Formal Feature Attribution and Its Approximation. CoRR abs/2307.03380 (2023) - [i23]Jinqiang Yu, Graham Farr, Alexey Ignatiev, Peter J. Stuckey:
Anytime Approximate Formal Feature Attribution. CoRR abs/2312.06973 (2023) - 2022
- [j7]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees. J. Artif. Intell. Res. 75: 261-321 (2022) - [c53]Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, João Marques-Silva:
Using MaxSAT for Efficient Explanations of Tree Ensembles. AAAI 2022: 3776-3785 - [c52]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Tractable Explanations for d-DNNF Classifiers. AAAI 2022: 5719-5728 - [c51]Aditya A. Shrotri, Nina Narodytska, Alexey Ignatiev, Kuldeep S. Meel, João Marques-Silva, Moshe Y. Vardi:
Constraint-Driven Explanations for Black-Box ML Models. AAAI 2022: 8304-8314 - [c50]João Marques-Silva, Alexey Ignatiev:
Delivering Trustworthy AI through Formal XAI. AAAI 2022: 12342-12350 - [i22]Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
Provably Precise, Succinct and Efficient Explanations for Decision Trees. CoRR abs/2205.09569 (2022) - [i21]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Tackling Explanation Redundancy in Decision Trees. CoRR abs/2205.09971 (2022) - [i20]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Nina Narodytska, João Marques-Silva:
Eliminating The Impossible, Whatever Remains Must Be True. CoRR abs/2206.09551 (2022) - [i19]Yacine Izza, Xuanxiang Huang, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
On Computing Probabilistic Abductive Explanations. CoRR abs/2212.05990 (2022) - 2021
- [j6]Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, António Morgado, João Marques-Silva:
Propositional proof systems based on maximum satisfiability. Artif. Intell. 300: 103552 (2021) - [j5]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic:
Learning Optimal Decision Sets and Lists with SAT. J. Artif. Intell. Res. 72: 1251-1279 (2021) - [c49]Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. AAAI 2021: 3806-3814 - [c48]Alexander A. Semenov, Daniil Chivilikhin, Artem Pavlenko, Ilya V. Otpuschennikov, Vladimir Ulyantsev, Alexey Ignatiev:
Evaluating the Hardness of SAT Instances Using Evolutionary Optimization Algorithms. CP 2021: 47:1-47:18 - [c47]Gianpiero Cabodi, Paolo E. Camurati, Alexey Ignatiev, João Marques-Silva, Marco Palena, Paolo Pasini:
Optimizing Binary Decision Diagrams for Interpretable Machine Learning Classification. DATE 2021: 1122-1125 - [c46]João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explanations for Monotonic Classifiers. ICML 2021: 7469-7479 - [c45]Alexey Ignatiev, João Marques-Silva, Nina Narodytska, Peter J. Stuckey:
Reasoning-Based Learning of Interpretable ML Models. IJCAI 2021: 4458-4465 - [c44]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. KR 2021: 356-367 - [c43]Alexey Ignatiev, João Marques-Silva:
SAT-Based Rigorous Explanations for Decision Lists. SAT 2021: 251-269 - [c42]Stepan Kochemazov, Alexey Ignatiev, João Marques-Silva:
Assessing Progress in SAT Solvers Through the Lens of Incremental SAT. SAT 2021: 280-298 - [i18]Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. CoRR abs/2102.01904 (2021) - [i17]Alexey Ignatiev, João Marques-Silva:
SAT-Based Rigorous Explanations for Decision Lists. CoRR abs/2105.06782 (2021) - [i16]João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explanations for Monotonic Classifiers. CoRR abs/2106.00154 (2021) - [i15]Yacine Izza, Alexey Ignatiev, Nina Narodytska, Martin C. Cooper, João Marques-Silva:
Efficient Explanations With Relevant Sets. CoRR abs/2106.00546 (2021) - [i14]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Efficiently Explaining Graph-Based Classifiers. CoRR abs/2106.01350 (2021) - [i13]Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Martin C. Cooper, Nicholas Asher, João Marques-Silva:
Efficient Explanations for Knowledge Compilation Languages. CoRR abs/2107.01654 (2021) - 2020
- [c41]Alexey Ignatiev, Nina Narodytska, Nicholas Asher, João Marques-Silva:
From Contrastive to Abductive Explanations and Back Again. AI*IA 2020: 335-355 - [c40]Alexey Ignatiev, Martin C. Cooper, Mohamed Siala, Emmanuel Hebrard, João Marques-Silva:
Towards Formal Fairness in Machine Learning. CP 2020: 846-867 - [c39]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic:
Computing Optimal Decision Sets with SAT. CP 2020: 952-970 - [c38]Oleg Zaikin, Alexey Ignatiev, João Marques-Silva:
Branch Location Problems with Maximum Satisfiability. ECAI 2020: 379-386 - [c37]Alexey Ignatiev:
Towards Trustable Explainable AI. IJCAI 2020: 5154-5158 - [c36]João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. NeurIPS 2020 - [i12]Jinqiang Yu, Alexey Ignatiev, Peter J. Stuckey, Pierre Le Bodic:
Computing Optimal Decision Sets with SAT. CoRR abs/2007.15140 (2020) - [i11]João Marques-Silva, Thomas Gerspacher, Martin C. Cooper, Alexey Ignatiev, Nina Narodytska:
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay. CoRR abs/2008.05803 (2020) - [i10]Jinqiang Yu, Alexey Ignatiev, Pierre Le Bodic, Peter J. Stuckey:
Optimal Decision Lists using SAT. CoRR abs/2010.09919 (2020) - [i9]Yacine Izza, Alexey Ignatiev, João Marques-Silva:
On Explaining Decision Trees. CoRR abs/2010.11034 (2020) - [i8]Alexey Ignatiev, Nina Narodytska, Nicholas Asher, João Marques-Silva:
On Relating 'Why?' and 'Why Not?' Explanations. CoRR abs/2012.11067 (2020)
2010 – 2019
- 2019
- [j4]Alexey Ignatiev, António Morgado, João Marques-Silva:
RC2: an Efficient MaxSAT Solver. J. Satisf. Boolean Model. Comput. 11(1): 53-64 (2019) - [c35]Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. AAAI 2019: 1511-1519 - [c34]Alexey Ignatiev, António Morgado, Georg Weissenbacher, João Marques-Silva:
Model-Based Diagnosis with Multiple Observations. IJCAI 2019: 1108-1115 - [c33]Ilya Zakirzyanov, António Morgado, Alexey Ignatiev, Vladimir Ulyantsev, João Marques-Silva:
Efficient Symmetry Breaking for SAT-Based Minimum DFA Inference. LATA 2019: 159-173 - [c32]Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
On Relating Explanations and Adversarial Examples. NeurIPS 2019: 15857-15867 - [c31]Carlos Mencía, Oliver Kullmann, Alexey Ignatiev, João Marques-Silva:
On Computing the Union of MUSes. SAT 2019: 211-221 - [c30]António Morgado, Alexey Ignatiev, Maria Luisa Bonet, João Marques-Silva, Sam Buss:
DRMaxSAT with MaxHS: First Contact. SAT 2019: 239-249 - [c29]Nina Narodytska, Aditya A. Shrotri, Kuldeep S. Meel, Alexey Ignatiev, João Marques-Silva:
Assessing Heuristic Machine Learning Explanations with Model Counting. SAT 2019: 267-278 - [i7]Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
On Validating, Repairing and Refining Heuristic ML Explanations. CoRR abs/1907.02509 (2019) - 2018
- [c28]Maria Luisa Bonet, Sam Buss, Alexey Ignatiev, João Marques-Silva, António Morgado:
MaxSAT Resolution With the Dual Rail Encoding. AAAI 2018: 6565-6572 - [c27]Alexander A. Semenov, Oleg Zaikin, Ilya V. Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev:
On Cryptographic Attacks Using Backdoors for SAT. AAAI 2018: 6641-6648 - [c26]Alexey Ignatiev, Filipe Pereira, Nina Narodytska, João Marques-Silva:
A SAT-Based Approach to Learn Explainable Decision Sets. IJCAR 2018: 627-645 - [c25]Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva:
Learning Optimal Decision Trees with SAT. IJCAI 2018: 1362-1368 - [c24]Alexey Ignatiev, António Morgado, João Marques-Silva:
PySAT: A Python Toolkit for Prototyping with SAT Oracles. SAT 2018: 428-437 - [i6]Alexander A. Semenov, Oleg Zaikin, Ilya V. Otpuschennikov, Stepan Kochemazov, Alexey Ignatiev:
On Cryptographic Attacks Using Backdoors for SAT. CoRR abs/1803.04646 (2018) - [i5]Alexey Ignatiev, Nina Narodytska, João Marques-Silva:
Abduction-Based Explanations for Machine Learning Models. CoRR abs/1811.10656 (2018) - 2017
- [c23]Alexey Ignatiev, João Marques-Silva, Carlos Mencía, Rafael Peñaloza:
Debugging EL+ Ontologies through Horn MUS Enumeration. Description Logics 2017 - [c22]João Marques-Silva, Alexey Ignatiev, António Morgado:
Horn Maximum Satisfiability: Reductions, Algorithms and Applications. EPIA 2017: 681-694 - [c21]Rafael Peñaloza, Carlos Mencía, Alexey Ignatiev, João Marques-Silva:
Lean Kernels in Description Logics. ESWC (1) 2017: 518-533 - [c20]Alessandro Previti, Alexey Ignatiev, Matti Järvisalo, João Marques-Silva:
On Computing Generalized Backbones. ICTAI 2017: 1050-1056 - [c19]Alexey Ignatiev, António Morgado, João Marques-Silva:
Cardinality Encodings for Graph Optimization Problems. IJCAI 2017: 652-658 - [c18]Alexey Ignatiev, António Morgado, João Marques-Silva:
On Tackling the Limits of Resolution in SAT Solving. SAT 2017: 164-183 - [i4]Alexey Ignatiev, António Morgado, João Marques-Silva:
On Tackling the Limits of Resolution in SAT Solving. CoRR abs/1705.01477 (2017) - [i3]João Marques-Silva, Alexey Ignatiev, António Morgado:
Horn Maximum Satisfiability: Reductions, Algorithms & Applications. CoRR abs/1705.05335 (2017) - [i2]Alexey Ignatiev, António Morgado, João Marques-Silva:
Model Based Diagnosis of Multiple Observations with Implicit Hitting Sets. CoRR abs/1707.01972 (2017) - 2016
- [j3]Alexey Ignatiev, António Morgado, Jordi Planes, João Marques-Silva:
Maximal falsifiability. AI Commun. 29(2): 351-370 (2016) - [j2]Alexey Ignatiev, Mikolás Janota, João Marques-Silva:
Quantified maximum satisfiability. Constraints An Int. J. 21(2): 277-302 (2016) - [c17]Alexey Ignatiev, Alessandro Previti, João Marques-Silva:
On Finding Minimum Satisfying Assignments. CP 2016: 287-297 - [c16]Xujie Si, Xin Zhang, Vasco Manquinho, Mikolás Janota, Alexey Ignatiev, Mayur Naik:
On Incremental Core-Guided MaxSAT Solving. CP 2016: 473-482 - [c15]Alexey Ignatiev, António Morgado, João Marques-Silva:
Propositional Abduction with Implicit Hitting Sets. ECAI 2016: 1327-1335 - [c14]João Marques-Silva, Alexey Ignatiev, Carlos Mencía, Rafael Peñaloza:
Efficient Reasoning for Inconsistent Horn Formulae. JELIA 2016: 336-352 - [c13]Carlos Mencía, Alexey Ignatiev, Alessandro Previti, João Marques-Silva:
MCS Extraction with Sublinear Oracle Queries. SAT 2016: 342-360 - [c12]M. Fareed Arif, Carlos Mencía, Alexey Ignatiev, Norbert Manthey, Rafael Peñaloza, João Marques-Silva:
BEACON: An Efficient SAT-Based Tool for Debugging EL^+ Ontologies. SAT 2016: 521-530 - [i1]Alexey Ignatiev, António Morgado, João Marques-Silva:
Propositional Abduction with Implicit Hitting Sets. CoRR abs/1604.08229 (2016) - 2015
- [c11]Alexey Ignatiev, Alessandro Previti, Mark H. Liffiton, João Marques-Silva:
Smallest MUS Extraction with Minimal Hitting Set Dualization. CP 2015: 173-182 - [c10]João Marques-Silva, Mikolás Janota, Alexey Ignatiev, António Morgado:
Efficient Model Based Diagnosis with Maximum Satisfiability. IJCAI 2015: 1966-1972 - [c9]Alessandro Previti, Alexey Ignatiev, António Morgado, João Marques-Silva:
Prime Compilation of Non-Clausal Formulae. IJCAI 2015: 1980-1988 - [c8]Alexey Ignatiev, Alessandro Previti, João Marques-Silva:
SAT-Based Formula Simplification. SAT 2015: 287-298 - 2014
- [j1]António Morgado, Alexey Ignatiev, João Marques-Silva:
MSCG: Robust Core-Guided MaxSAT Solving. J. Satisf. Boolean Model. Comput. 9(1): 129-134 (2014) - [c7]Alexey Ignatiev, António Morgado, Vasco Manquinho, Inês Lynce, João Marques-Silva:
Progression in Maximum Satisfiability. ECAI 2014: 453-458 - [c6]João Marques-Silva, Alexey Ignatiev, António Morgado, Vasco Manquinho, Inês Lynce:
Efficient Autarkies. ECAI 2014: 603-608 - [c5]Alexey Ignatiev, Mikolás Janota, João Marques-Silva:
Towards efficient optimization in package management systems. ICSE 2014: 745-755 - [c4]Alexey Ignatiev, António Morgado, João Marques-Silva:
On Reducing Maximum Independent Set to Minimum Satisfiability. SAT 2014: 103-120 - 2013
- [c3]Alexey Ignatiev, António Morgado, Jordi Planes, João Marques-Silva:
Maximal Falsifiability - Definitions, Algorithms, and Applications. LPAR 2013: 439-456 - [c2]Alexey Ignatiev, Mikolás Janota, João Marques-Silva:
Quantified Maximum Satisfiability: - A Core-Guided Approach. SAT 2013: 250-266 - 2011
- [c1]Alexey Ignatiev, Alexander A. Semenov:
DPLL+ROBDD Derivation Applied to Inversion of Some Cryptographic Functions. SAT 2011: 76-89
Coauthor Index
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