E-MAIL: {firstname}.{lastname}


I am associate professor at the Lamsade laboratory (Université Paris Dauphine), in France.

My research is about data mining, constraint programming and high performance computing.

My CV: HERE (comprehensive, French version)


  • E-mail: firstname.lastname @
  • Mailing Address:
    • Place du Maréchal de Lattre de Tassigny,
    • 75 775 PARIS CEDEX 16, FRANCE
  • Office:
    • P407
  • Tel: +33 1 44 05 44 18



  • The Rasta Project: (Rasta for recognizing art style automatically). Online demo HERE.
  • NRPA: Parallel implementation of the NRPA search algorithm. HERE.
  • CPSM: A CP-based sequence miner that supports many constraints. More info HERE.
  • Dominance Programming Solver: A solver to evaluate DP expressions. More info HERE.
  • ParaMiner: A generic, parallel algorithm for closed pattern mining. More info HERE.
  • PLCM: A Fast parallel algorithm to mine closed frequent itemsets (based on lcm): HERE.
  • Runtime: A script to program and run experiments from the command line: HERE.
  • TetrisML: A Tetris clone in ML :) HERE.


[1] Alexandre Araujo, Benjamin Negrevergne, Yann Chevaleyre, and Jamal Atif. Training compact deep learning models for video classification using circulant matrices. In The 2nd Workshop on YouTube-8M Large-Scale Video Understanding at ECCV 2018. [ bib | http ]
[2] Florian Yger Adrian Lecoutre, Benjamin Negrevergne. Rasta: Recognizing art style automatically in painting with deep learning. In Asian Conference on Machine Learning. [ bib | .pdf ]
[3] Benjamin Negrevergne and Tristan Cazenave. Distributed nested rollout policy for same game. In Computer Games Workshop at IJCAI 2017, 2017. [ bib | .pdf ]
[4] Ahmed Samet, Thomas Guyet, and Benjamin Negrevergne. Mining rare sequential patterns with asp. In International Conference on Inductive Logic Programming, 2017. [ bib | http ]
[5] Anton Dries, Tias Guns, Siegfried Nijssen, Behrouz Babaki, Thanh Le Van, Benjamin Negrevergne, Sergey Paramonov, and Luc De Raedt. Modeling in MiningZinc, pages 257–281. Springer International Publishing, Cham, 2016. [ bib | DOI | http ]
[6] Boris Doux, Clément Gautrais, and Benjamin Negrevergne. Detecting strategic moves in HearthStone matches. In Machine Learning and Data Mining for Sports Analytics Workshop of ECML/PKDD, Riva del Garda, Italy, September 2016. [ bib | http | .pdf ]
[7] Tias Guns, Sergey Paramonov, and Benjamin Negrevergne. On declarative modeling of structured pattern mining [in press]. In Workshop proceedings of AAAI-16 (Workshop: DeLBP), 2016. [ bib | .pdf ]
[8] Benjamin Negrevergne and Tias Guns. Constraint-based sequence mining using constraint programming. In Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2015. [ bib | arXiv ]
[9] TrongDinhThac Do, Alexandre Termier, Anne Laurent, Benjamin Negrevergne, Behrooz Omidvar-Tehrani, and Sihem Amer-Yahia. Pglcm: efficient parallel mining of closed frequent gradual itemsets. Knowledge and Information Systems (KAIS), pages 1–31, 2014. [ bib | DOI | http ]
[10] Benjamin Negrevergne, Anton Dries, Tias Guns, and Siegfried Nijssen. Dominance programming for itemset mining. In International Conference on Data Mining (ICDM), 2013. [ bib | .pdf ]
[11] Benjamin Negrevergne, Alexandre Termier, Marie-Christine Rousset, and Jean-François Mehaut. ParaMiner: a Generic Pattern Mining Algorithm for Multi-Core Architectures. Journal of Data Mining and Knowledge Discovery (DMKD), 2013. Advance online publication. doi 10.1007/s10618-013-0313-2. [ bib | http ]
[12] Anne Laurent, Benjamin Negrevergne, Nicolas Sicard, and Alexandre Termier. Efficient parallel mining of gradual patterns on multicore processors. In Fabrice Guillet, Gilbert Ritschard, and Djamel Abdelkader Zighed, editors, Advances in Knowledge Discovery and Management, volume 398 of Studies in Computational Intelligence, pages 137–151. Springer Berlin Heidelberg, 2012. [ bib | DOI | http ]
[13] Benjamin Negrevergne, Alexandre Termier, Jean-Francois Mehaut, and Takeaki Uno. Discovering closed frequent itemsets on multicore: Parallelizing computations and optimizing memory accesses. In International Conference on High Performance Computing & Simulation (HPCS), pages 521–528, 2010. [ bib | .pdf ]
[14] Anne Laurent, Benjamin Negrevergne, Nicolas Sicard, and Alexandre Termier. Pgp-mc: Towards a multicore parallel approach for mining gradual patterns. In Database Systems for Advanced Publications (DASFAA), pages 78–84, 2010. [ bib | .pdf ]
[15] Benjamin Negrevergne. A Generic and Parallel Pattern Mining Algorithm for Multi-Core Architectures. PhD thesis, University of Grenoble, 2011. [ bib | .pdf ]
[16] Benjamin Negrevergne, Jean-Francois Méhaut, Alexandre Termier, and Takeaki Uno. Découverte d'itemsets fréquents fermés sur architecture multicoeurs. In Extraction et Gestion des Connaissances (EGC), pages 465–470, 2010. [ bib | .pdf ]
[17] Anne Laurent, Benjamin Negrevergne, Nicolas Sicard, and Alexandre Termier. Pgp-mc : extraction parallèle efficace de motifs graduels. In Extraction et Gestion des Connaissances (EGC), pages 453–464, 2010. [ bib ]
[18] Benjamin Negrevergne, Alexandre Termier, Marie-Christine Rousset, and Jean-François. Méhaut. Paraminer: a generic parallel pattern mining algorithm. Technical report, Laboratoire d'Informatique de Grenoble, 2011. [ bib | .pdf ]
[19] Alexandre Termier, Benjamin Negrevergne, Simon Marlow, and Satnam Singh. Hlcm: a first experiment on parallel data mining with haskell, 2011. [ bib ]

Date: 2013-04-21 Sun