Laurent Simon
Computational Theory and Mathematics · 2009–2013
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 11 citations into it; #5,637 of 12,182 by trust here, #9,306 by citations
- Artificial Intelligence — 7 citations into it; #17,386 of 35,345 by trust here, #30,347 by citations
- Computer Networks and Communications — 6 citations into it
Whom Laurent Simon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Niklas Eén
- Lintao Zhang
- Matthew W. Moskewicz
- Niklas Sörensson
- Sharad Malik
- E. Goldberg
- Zhaohui Fu
- Gilles Audemard
- Armin Biere
Who trusts Laurent Simon overall
- Alexey Ignatiev
- Nina Narodytska
- Ruben Martins
- J. Berg
- Gilles Audemard
- Vasco M. Manquinho
- Jinqiang Yu
Papers from Laurent Simon's perspective
Ordered by how strongly the researchers Laurent Simon trusts endorse each paper. Same corpus, a different order for every researcher.
- A machine program for theorem-proving (CACM)
- Temporal induction by incremental SAT solving (BMC@CAV)
- Cha : Engineering an e cient SAT solver (Design Automation Conference)
- Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems (Journal of automated reasoning)
- Efficient conflict driven learning in a Boolean satisfiability solver (IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281))
- BerkMin: A fast and robust SAT-solver (Proceedings 2002 Design, Automation and Test in Europe Conference and Exhibition)
- Effective Preprocessing in SAT Through Variable and Clause Elimination (International Conference on Theory and Applications of Satisfiability Testing)
- Predicting Learnt Clauses Quality in Modern SAT Solvers
- On Solving the Partial MAX-SAT Problem (International Conference on Theory and Applications of Satisfiability Testing)
- An Extensible SAT-solver (International Conference on Theory and Applications of Satisfiability Testing)
Their papers
- Improving Glucose for Incremental SAT Solving with Assumptions: Application to MUS Extraction (2013) — 142 citations
- Predicting Learnt Clauses Quality in Modern SAT Solvers (2009) — 726 citations