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Gilles Audemard
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2020 – today
- 2024
- [c59]Thibault Falque, Gilles Audemard, Christophe Lecoutre, Bertrand Mazure:
Check-In Desk Scheduling Optimisation at CDG International Airport. AAAI 2024: 22743-22751 - [c58]Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski:
Designing an XAI Interface for Tree-Based ML Models. ECAI 2024: 1075-1082 - [c57]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis:
On the Computation of Contrastive Explanations for Boosted Regression Trees. ECAI 2024: 1083-1091 - [c56]Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri:
Rectifier pour mieux distiller. EGC 2024: 59-70 - [c55]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On the Computation of Example-Based Abductive Explanations for Random Forests. IJCAI 2024: 3679-3687 - [c54]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 - [c53]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
PyXAI: An XAI Library for Tree-Based Models. IJCAI 2024: 8601-8605 - 2023
- [c52]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. AISTATS 2023: 4699-4711 - [c51]Gilles Audemard, Christophe Lecoutre, Charles Prud'homme:
Guiding Backtrack Search by Tracking Variables During Constraint Propagation. CP 2023: 9:1-9:17 - [c50]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On Contrastive Explanations for Tree-Based Classifiers. ECAI 2023: 117-124 - [c49]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 - [c48]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 - [c47]Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis:
Computing Abductive Explanations for Boosted Regression Trees. IJCAI 2023: 3432-3441 - [i8]Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2023 XCSP3 Competition. CoRR abs/2312.05877 (2023) - 2022
- [j6]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) - [c46]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 - [c45]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 - [c44]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 - [c43]Gilles Audemard, Jean-Marie Lagniez, Marie Miceli, Olivier Roussel:
Identifying Soft Cores in Propositional Formulæ. ICAART (2) 2022: 486-495 - [c42]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 - [c41]Gilles Audemard, Jean-Marie Lagniez, Marie Miceli:
A New Exact Solver for (Weighted) Max#SAT. SAT 2022: 28:1-28:20 - [i7]Gilles Audemard, Christophe Lecoutre, Emmanuel Lonca:
Proceedings of the 2022 XCSP3 Competition. CoRR abs/2209.00917 (2022) - [i6]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. CoRR abs/2209.07740 (2022) - 2021
- [c40]Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen:
A hybrid CP/MOLS approach for multi-objective imbalanced classification. GECCO 2021: 723-731 - [c39]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) - 2020
- [j5]Gilles Audemard, Frédéric Boussemart, Christophe Lecoutre, Cédric Piette, Olivier Roussel:
XCSP3 and its ecosystem. Constraints An Int. J. 25(1-2): 47-69 (2020) - [c38]Gilles Audemard, Christophe Lecoutre, Mehdi Maamar:
Segmented Tables: An Efficient Modeling Tool for Constraint Reasoning. ECAI 2020: 315-322 - [c37]Gilles Audemard, Frédéric Koriche, Pierre Marquis:
On Tractable XAI Queries based on Compiled Representations. KR 2020: 838-849 - [c36]Gilles Audemard, Loïc Paulevé, Laurent Simon:
SAT Heritage: A Community-Driven Effort for Archiving, Building and Running More Than Thousand SAT Solvers. SAT 2020: 107-113 - [i2]Gilles Audemard, Loïc Paulevé, Laurent Simon:
SAT Heritage: a community-driven effort for archiving, building and running more than thousand SAT solvers. CoRR abs/2006.01503 (2020) - [i1]Frédéric Boussemart, Christophe Lecoutre, Gilles Audemard, Cédric Piette:
XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems. CoRR abs/2009.00514 (2020)
2010 – 2019
- 2018
- [j4]Gilles Audemard, Laurent Simon:
On the Glucose SAT Solver. Int. J. Artif. Intell. Tools 27(1): 1840001:1-1840001:25 (2018) - 2017
- [c35]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
A Distributed Version of Syrup. SAT 2017: 215-232 - 2016
- [c34]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
An Adaptive Parallel SAT Solver. CP 2016: 30-48 - [c33]Gilles Audemard, Laurent Simon:
Extreme Cases in SAT Problems. SAT 2016: 87-103 - 2014
- [j3]Gilles Audemard, Armin Biere, Jean-Marie Lagniez, Laurent Simon:
Améliorer SAT dans le cadre incrémental. Rev. d'Intelligence Artif. 28(5): 593-614 (2014) - [c32]Gilles Audemard, Christophe Lecoutre, Mouny Samy Modeliar, Gilles Goncalves, Daniel Cosmin Porumbel:
Scoring-Based Neighborhood Dominance for the Subgraph Isomorphism Problem. CP 2014: 125-141 - [c31]Gilles Audemard, Benoît Hoessen, Saïd Jabbour, Cédric Piette:
An Effective Distributed D&C Approach for the Satisfiability Problem. PDP 2014: 183-187 - [c30]Gilles Audemard, Benoît Hoessen, Saïd Jabbour, Cédric Piette:
Dolius: A Distributed Parallel SAT Solving Framework. POS@SAT 2014: 1-11 - [c29]Gilles Audemard, Laurent Simon:
Lazy Clause Exchange Policy for Parallel SAT Solvers. SAT 2014: 197-205 - [c28]Zack Newsham, Vijay Ganesh, Sebastian Fischmeister, Gilles Audemard, Laurent Simon:
Impact of Community Structure on SAT Solver Performance. SAT 2014: 252-268 - 2013
- [c27]Gilles Audemard, Jean-Marie Lagniez, Laurent Simon:
Just-In-Time Compilation of Knowledge Bases. IJCAI 2013: 447-453 - [c26]Gilles Audemard, Jean-Marie Lagniez, Laurent Simon:
Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction. SAT 2013: 309-317 - 2012
- [c25]Gilles Audemard, Laurent Simon:
Refining Restarts Strategies for SAT and UNSAT. CP 2012: 118-126 - [c24]Gilles Audemard, Benoît Hoessen, Saïd Jabbour, Jean-Marie Lagniez, Cédric Piette:
Revisiting Clause Exchange in Parallel SAT Solving. SAT 2012: 200-213 - 2011
- [c23]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
On Freezing and Reactivating Learnt Clauses. SAT 2011: 188-200 - 2010
- [c22]Gilles Audemard, George Katsirelos, Laurent Simon:
A Restriction of Extended Resolution for Clause Learning SAT Solvers. AAAI 2010: 15-20 - [c21]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Boosting Local Search Thanks to cdcl. LPAR (Yogyakarta) 2010: 474-488
2000 – 2009
- 2009
- [c20]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Learning in Local Search. ICTAI 2009: 417-424 - [c19]Gilles Audemard, Laurent Simon:
Predicting Learnt Clauses Quality in Modern SAT Solvers. IJCAI 2009: 399-404 - [c18]Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazure, Lakhdar Sais:
Integrating Conflict Driven Clause Learning to Local Search. LSCS 2009: 55-68 - 2008
- [j2]Gilles Audemard, Saïd Jabbour, Lakhdar Sais:
SAT graph-based representation: A new perspective. J. Algorithms 63(1-3): 17-33 (2008) - [c17]Gilles Audemard, Laurent Simon:
Experimenting with Small Changes in Conflict-Driven Clause Learning Algorithms. CP 2008: 630-634 - [c16]Gilles Audemard, Lucas Bordeaux, Youssef Hamadi, Saïd Jabbour, Lakhdar Sais:
A Generalized Framework for Conflict Analysis. SAT 2008: 21-27 - 2007
- [c15]Gilles Audemard, Laurent Simon:
GUNSAT: A Greedy Local Search Algorithm for Unsatisfiability. IJCAI 2007: 2256-2261 - [c14]Gilles Audemard, Saïd Jabbour, Lakhdar Sais:
Symmetry Breaking in Quantified Boolean Formulae. IJCAI 2007: 2262-2267 - [c13]Gilles Audemard, Lakhdar Sais:
Circuit Based Encoding of CNF Formula. SAT 2007: 16-21 - 2006
- [j1]Gilles Audemard, Belaid Benhamou, Laurent Henocque:
Predicting and Detecting Symmetries in FOL Finite Model Search. J. Autom. Reason. 36(3): 177-212 (2006) - 2005
- [c12]Gilles Audemard, Lakhdar Sais:
A Symbolic Search Based Approach for Quantified Boolean Formulas. SAT 2005: 16-30 - 2004
- [c11]Gilles Audemard, Lakhdar Sais:
SAT Based BDD Solver for Quantified Boolean Formulas. ICTAI 2004: 82-89 - [c10]Gilles Audemard, Bertrand Mazure, Lakhdar Sais:
Dealing with Symmetries in Quantified Boolean Formulas. SAT 2004 - [c9]Gilles Audemard, Marco Bozzano, Alessandro Cimatti, Roberto Sebastiani:
Verifying Industrial Hybrid Systems with MathSAT. BMC@CAV 2004: 17-32 - 2002
- [c8]Gilles Audemard, Piergiorgio Bertoli, Alessandro Cimatti, Artur Kornilowicz, Roberto Sebastiani:
Integrating Boolean and Mathematical Solving: Foundations, Basic Algorithms, and Requirements. AISC 2002: 231-245 - [c7]Gilles Audemard, Piergiorgio Bertoli, Alessandro Cimatti, Artur Kornilowicz, Roberto Sebastiani:
A SAT Based Approach for Solving Formulas over Boolean and Linear Mathematical Propositions. CADE 2002: 195-210 - [c6]Gilles Audemard, Belaid Benhamou:
Reasoning by Symmetry and Function Ordering in Finite Model Generation. CADE 2002: 226-240 - [c5]Gilles Audemard, Alessandro Cimatti, Artur Kornilowicz, Roberto Sebastiani:
Bounded Model Checking for Timed Systems. FORTE 2002: 243-259 - 2001
- [c4]Gilles Audemard, Laurent Henocque:
The eXtended Least Number Heuristic. IJCAR 2001: 427-442 - [c3]Gilles Audemard, Belaid Benhamou:
Etude des symétries dans les modèles finis. JFPLC 2001: 109-122 - 2000
- [c2]Gilles Audemard, Belaid Benhamou, Laurent Henocque:
Two Techniques to Improve Finite Model Search. CADE 2000: 302-308 - [c1]Gilles Audemard, Belaid Benhamou, Pierre Siegel:
AVAL: An Enumerative Method for SAT. Computational Logic 2000: 373-383
Coauthor Index
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last updated on 2024-11-08 20:29 CET by the dblp team
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