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ORCIDJean-Marie Lagniez
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- affiliation: Université d'Artois, Lens, France
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2020 – today
- 2024
[c81]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly:
A SAT-based Approach for Argumentation Dynamics. AAMAS 2024: 2351-2353- [c80]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis:
On the Computation of Contrastive Explanations for Boosted Regression Trees. ECAI 2024: 1083-1091 - [c79]Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl:
A Top-Down Tree Model Counter for Quantified Boolean Formulas. IJCAI 2024: 1853-1861 - [c78]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On the Computation of Example-Based Abductive Explanations for Random Forests. IJCAI 2024: 3679-3687 - [c77]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories. IJCAI 2024: 3688-3696 - [c76]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
PyXAI: An XAI Library for Tree-Based Models. IJCAI 2024: 8601-8605 - [c75]Frédéric Koriche, Jean-Marie Lagniez, Stefan Mengel, Chi Tran:
Learning Model Agnostic Explanations via Constraint Programming. ECML/PKDD (4) 2024: 437-453 - [c74]Jean-Marie Lagniez, Pierre Marquis
, Armin Biere:
Dynamic Blocked Clause Elimination for Projected Model Counting. SAT 2024: 21:1-21:17 - [i8]Jean-Marie Lagniez, Pierre Marquis, Armin Biere:
Dynamic Blocked Clause Elimination for Projected Model Counting. CoRR abs/2408.06199 (2024) - 2023
- [j12]Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Algorithms for partially robust team formation. Auton. Agents Multi Agent Syst. 37(2): 22 (2023) - [c73]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. AISTATS 2023: 4699-4711 - [c72]Sara Riva, Jean-Marie Lagniez, Gustavo Magaña López, Loïc Paulevé:
Tackling Universal Properties of Minimal Trap Spaces of Boolean Networks. CMSB 2023: 157-174 - [c71]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On Contrastive Explanations for Tree-Based Classifiers. ECAI 2023: 117-124 - [c70]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Sur les explications abductives préférées pour les arbres de décision et les forêts aléatoires. EGC 2023: 507-514 - [c69]Gilles Audemard, Steve Bellart, Louenas Bounia, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé. EGC 2023: 581-588 - [c68]Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis:
Computing Abductive Explanations for Boosted Regression Trees. IJCAI 2023: 3432-3441 - [c67]Jean-Marie Lagniez, Pierre Marquis:
Boosting Definability Bipartition Computation Using SAT Witnesses. JELIA 2023: 697-711 - [c66]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit:
A New Evolutive Generator for Graphs with Communities and its Application to Abstract Argumentation. JIAF 2023: 28-38 - [c65]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit:
A New Evolutive Generator for Graphs with Communities and its Application to Abstract Argumentation. Arg&App@KR 2023: 52-64 - [i7]Sara Riva, Jean-Marie Lagniez, Gustavo Magaña López, Loïc Paulevé:
Tackling Universal Properties of Minimal Trap Spaces of Boolean Networks. CoRR abs/2305.02442 (2023) - 2022
- [j11]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the explanatory power of Boolean decision trees. Data Knowl. Eng. 142: 102088 (2022) - [c64]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. AAAI 2022: 5461-5469 - [c63]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Les raisons majoritaires : des explications abductives pour les forêts aléatoires. EGC 2022: 123-134 - [c62]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Sur le pouvoir explicatif des arbres de décision. EGC 2022: 147-158 - [c61]Gilles Audemard, Jean-Marie Lagniez, Marie Miceli, Olivier Roussel:
Identifying Soft Cores in Propositional Formulæ. ICAART (2) 2022: 486-495 - [c60]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On Preferred Abductive Explanations for Decision Trees and Random Forests. IJCAI 2022: 643-650 - [c59]Gilles Audemard, Jean-Marie Lagniez, Marie Miceli:
A New Exact Solver for (Weighted) Max#SAT. SAT 2022: 28:1-28:20 - [i6]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. CoRR abs/2209.07740 (2022) - 2021
- [j10]Nicolas Schwind, Tenda Okimoto, Katsumi Inoue, Katsutoshi Hirayama, Jean-Marie Lagniez, Pierre Marquis:
On the computation of probabilistic coalition structures. Auton. Agents Multi Agent Syst. 35(1): 14 (2021) - [c58]Florent Capelli, Jean-Marie Lagniez, Pierre Marquis:
Certifying Top-Down Decision-DNNF Compilers. AAAI 2021: 6244-6253 - [c57]Nicolas Schwind, Emir Demirovic, Katsumi Inoue, Jean-Marie Lagniez:
Partial Robustness in Team Formation: Bridging the Gap between Robustness and Resilience. AAMAS 2021: 1154-1162 - [c56]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Computational Intelligibility of Boolean Classifiers. KR 2021: 74-86 - [i5]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Computational Intelligibility of Boolean Classifiers. CoRR abs/2104.06172 (2021) - [i4]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Explanatory Power of Decision Trees. CoRR abs/2108.05266 (2021) - [i3]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. CoRR abs/2108.05276 (2021) - [i2]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit:
Design and Results of ICCMA 2021. CoRR abs/2109.08884 (2021) - 2020
- [j9]Jean-Marie Lagniez, Emmanuel Lonca, Pierre Marquis:
Definability for model counting. Artif. Intell. 281: 103229 (2020) - [c55]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit:
Introducing the Fourth International Competition on Computational Models of Argumentation. SAFA@COMMA 2020: 80-85 - [c54]Zied Bouraoui, Jean-Marie Lagniez, Pierre Marquis, Valentin Montmirail:
Consolidating Modal Knowledge Bases. ECAI 2020: 648-655 - [c53]Nicolas Schwind, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
On Computational Aspects of Iterated Belief Change. IJCAI 2020: 1770-1776 - [c52]Gael Glorian, Jean-Marie Lagniez, Christophe Lecoutre:
NACRE - A Nogood And Clause Reasoning Engine. LPAR 2020: 249-259
2010 – 2019
- 2019
- [b1]Jean-Marie Lagniez:
Promenade au-delà de NP. (Beyond NP). Artois University, Arras, France, 2019 - [c51]Jean-Marie Lagniez, Pierre Marquis:
A Recursive Algorithm for Projected Model Counting. AAAI 2019: 1536-1543 - [c50]Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Nicolas Szczepanski:
An Incremental SAT-Based Approach to the Graph Colouring Problem. CP 2019: 213-231 - [c49]Nicolas Schwind, Katsumi Inoue, Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
What Has Been Said? Identifying the Change Formula in a Belief Revision Scenario. IJCAI 2019: 1865-1871 - 2018
- [j8]Éric Grégoire, Jean-Marie Lagniez, Du Zhang:
Consensus-finding that preserves mutually conflicting hypothetical information from a same agent. AI Commun. 31(3): 303-317 (2018) - [j7]Éric Grégoire, Jean-Marie Lagniez, Du Zhang:
Preface. Int. J. Artif. Intell. Tools 27(1): 1802001:1-1802001:2 (2018) - [c48]Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
An Assumption-Based Approach for Solving the Minimal S5-Satisfiability Problem. IJCAR 2018: 1-18 - [c47]Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Michael Sioutis:
An Incremental SAT-Based Approach to Reason Efficiently on Qualitative Constraint Networks. CP 2018: 160-178 - [c46]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
Boosting MCSes Enumeration. IJCAI 2018: 1309-1315 - [c45]Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
DMC: A Distributed Model Counter. IJCAI 2018: 1331-1338 - [c44]Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
A SAT-Based Approach For PSPACE Modal Logics. KR 2018: 651-652 - [c43]Nicolas Schwind, Tenda Okimoto, Katsumi Inoue, Katsutoshi Hirayama, Jean-Marie Lagniez, Pierre Marquis:
Probabilistic Coalition Structure Generation. KR 2018: 663-664 - 2017
- [j6]Jean-Marie Lagniez, Pierre Marquis:
On Preprocessing Techniques and Their Impact on Propositional Model Counting. J. Autom. Reason. 58(4): 413-481 (2017) - [c42]Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
SAT Encodings for Distance-Based Belief Merging Operators. AAAI 2017: 1163-1169 - [c41]Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem. AAAI 2017: 3864-3870 - [c40]Gael Glorian, Frédéric Boussemart, Jean-Marie Lagniez, Christophe Lecoutre, Bertrand Mazure:
Combining Nogoods in Restart-Based Search. CP 2017: 129-138 - [c39]Jean-Marie Lagniez, Pierre Marquis, Anastasia Paparrizou:
Defining and Evaluating Heuristics for the Compilation of Constraint Networks. CP 2017: 172-188 - [c38]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
On Computing One Max_Subset Inclusion Consensus. ICTAI 2017: 838-845 - [c37]Jean-Marie Lagniez, Pierre Marquis:
An Improved Decision-DNNF Compiler. IJCAI 2017: 667-673 - [c36]Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
A Recursive Shortcut for CEGAR: Application To The Modal Logic K Satisfiability Problem. IJCAI 2017: 674-680 - [c35]Sébastien Konieczny, Jean-Marie Lagniez, Pierre Marquis:
Boosting Distance-Based Revision Using SAT Encodings. LORI 2017: 480-496 - [c34]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
A Distributed Version of Syrup. SAT 2017: 215-232 - 2016
- [j5]Éric Grégoire, Jean-Marie Lagniez:
A Computational Method for Enforcing Knowledge that Cannot be Subsumed. Int. J. Artif. Intell. Tools 25(4): 1650024:1-1650024:19 (2016) - [j4]Éric Grégoire, Jean-Marie Lagniez:
RCL: An A. I. Tool for Computing Maximal Consensuses. Int. J. Artif. Intell. Tools 25(4): 1650026:1-1650026:10 (2016) - [c33]Éric Grégoire, Jean-Marie Lagniez, Du Zhang:
Logical consensuses for case-based reasoning and for mathematical engineering of AI. ICCI*CC 2016: 29-33 - [c32]Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
On the Extraction of One Maximal Information Subset That Does Not Conflict with Multiple Contexts. AAAI 2016: 3404-3410 - [c31]Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail:
On Checking Kripke Models for Modal Logic K. PAAR@IJCAR 2016: 69-81 - [c30]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
An Adaptive Parallel SAT Solver. CP 2016: 30-48 - [c29]Éric Grégoire, Jean-Marie Lagniez, Du Zhang:
On Computing Non-hypocritical Consensuses in Standard Logic. DEXA Workshops 2016: 97-101 - [c28]Anicet Bart, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
An Improved CNF Encoding Scheme for Probabilistic Inference. ECAI 2016: 613-621 - [c27]Éric Grégoire, Jean-Marie Lagniez:
A Computational Approach to Consensus-Finding. ECAI 2016: 795-801 - [c26]Jean-Marie Lagniez, Emmanuel Lonca, Pierre Marquis:
Improving Model Counting by Leveraging Definability. IJCAI 2016: 751-757 - [c25]Éric Grégoire, Sébastien Konieczny, Jean-Marie Lagniez:
On Consensus Extraction. IJCAI 2016: 1095-1101 - 2015
- [j3]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
On getting rid of the preprocessing minimization step in MUC-finding algorithms. Constraints An Int. J. 20(4): 414-432 (2015) - [c24]Philippe Besnard, Éric Grégoire, Jean-Marie Lagniez:
On Computing Maximal Subsets of Clauses that Must Be Satisfiable with Possibly Mutually-Contradictory Assumptive Contexts. AAAI 2015: 3710-3716 - [c23]Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly:
CoQuiAAS: A Constraint-Based Quick Abstract Argumentation Solver. ICTAI 2015: 928-935 - [c22]Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Samuel Thomas:
Compiling Constraint Networks into Multivalued Decomposable Decision Graphs. IJCAI 2015: 332-338 - [c21]Éric Grégoire, Jean-Marie Lagniez:
On Anti-subsumptive Knowledge Enforcement. LPAR 2015: 48-62 - 2014
- [j2]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Boosting MUC extraction in unsatisfiable constraint networks. Appl. Intell. 41(4): 1012-1023 (2014) - [j1]Gilles Audemard, Armin Biere, Jean-Marie Lagniez, Laurent Simon:
Améliorer SAT dans le cadre incrémental. Rev. d'Intelligence Artif. 28(5): 593-614 (2014) - [c20]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
An Experimentally Efficient Method for (MSS, CoMSS) Partitioning. AAAI 2014: 2666-2673 - [c19]Jean-Marie Lagniez, Pierre Marquis:
Preprocessing for Propositional Model Counting. AAAI 2014: 2688-2694 - [c18]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
A General Artificial Intelligence Approach for Skeptical Reasoning. AGI 2014: 33-42 - [c17]Anicet Bart, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Symmetry-Driven Decision Diagrams for Knowledge Compilation. ECAI 2014: 51-56 - [c16]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Enforcing Solutions in Constraint Networks. ECAI 2014: 1017-1018 - [c15]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Multiple Contraction through Partial-Max-SAT. ICTAI 2014: 321-327 - 2013
- [c14]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Questioning the Importance of WCORE-Like Minimization Steps in MUC-Finding Algorithms. ICTAI 2013: 923-930 - [c13]Gilles Audemard, Jean-Marie Lagniez, Laurent Simon:
Just-In-Time Compilation of Knowledge Bases. IJCAI 2013: 447-453 - [c12]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Preserving Partial Solutions While Relaxing Constraint Networks. IJCAI 2013: 552-558 - [c11]Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Samuel Thomas:
Knowledge Compilation for Model Counting: Affine Decision Trees. IJCAI 2013: 947-953 - [c10]Jean-Marie Lagniez, Armin Biere:
Factoring Out Assumptions to Speed Up MUS Extraction. SAT 2013: 276-292 - [c9]Gilles Audemard, Jean-Marie Lagniez, Laurent Simon:
Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction. SAT 2013: 309-317 - [i1]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Improving MUC extraction thanks to local search. CoRR abs/1307.3585 (2013) - 2012
- [c8]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
Relax! ICTAI 2012: 146-153 - [c7]Gilles Audemard, Benoît Hoessen, Saïd Jabbour, Jean-Marie Lagniez, Cédric Piette:
Revisiting Clause Exchange in Parallel SAT Solving. SAT 2012: 200-213 - 2011
- [c6]Éric Grégoire, Jean-Marie Lagniez, Bertrand Mazure:
A CSP Solver Focusing on fac Variables. CP 2011: 493-507 - [c5]Long Guo, Jean-Marie Lagniez:
Dynamic Polarity Adjustment in a Parallel SAT Solver. ICTAI 2011: 67-73 - [c4]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
On Freezing and Reactivating Learnt Clauses. SAT 2011: 188-200 - 2010
- [c3]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Boosting Local Search Thanks to cdcl. LPAR (Yogyakarta) 2010: 474-488
2000 – 2009
- 2009
- [c2]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Learning in Local Search. ICTAI 2009: 417-424 - [c1]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Integrating Conflict Driven Clause Learning to Local Search. LSCS 2009: 55-68
Coauthor Index
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