ルケロル ミロ

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ルケロル ミロ
博士研究員
ヴァーネック グループ
連絡先

milo atmark icredd.hokudai.ac.jp

アレクサンドル・ヴァーネック グループ
主任研究者
教員
博士研究員

研究紹介

研究テーマ

Retrosynthesis

キーワード

Monte Carlo Search, optimization, retrosynthesis, tree search, heuristics, AI

研究概要

My research focuses on the application of tree search and Monte Carlo Search to different problems, such as mathematics, logistics, and chemistry.

代表的な研究成果

  • Refutation of Spectral Graph Theory Conjectures with Monte Carlo Search
    M. Roucairol, T. Cazenave, Computing and Combinatorics, Zhang, Y.; Miao, D.; Möhring, R., Eds.; Springer: Cham, Switzerland, 2022, 162-176
    DOI : 10.1007/978-3-031-22105-7_15
  • Solving the Hydrophobic-Polar Model with Nested Monte Carlo Search
    M. Roucairol, T. Cazenave, Advances in Computational Collective Intelligence, Nguyen, N. T.; Botzheim, J.; Gulyás, L.; Nunez, M.; Treur, J.; Vossen, G.; Kozierkiewicz, A., Eds.; Springer: Cham, Switzerland, 2023, 619-631
    DOI : 10.1007/978-3-031-41774-0_49
  • Lazy Nested Monte Carlo Search for Coalition Structure Generation
    M. Roucairol, J. Arjonilla, A. Saffidine, T. Cazenave, ICAART (2), 2024, 58-67
    DOI : 10.5220/0012302300003636
  • Comparing search algorithms on the retrosynthesis problem
    M. Roucairol, T. Cazenave, Mol. Inform., 2024, 43, e202300259
    DOI : 10.1002/minf.202300259
  • DrugSynthMC: An Atom-Based Generation of Drug-like Molecules with Monte Carlo Search
    M. Roucairol, A. Georgiou, T. Cazenave, F. Prischi, O. E. Pardo, J. Chem. Inf. Model., 2024, 64, 18, 7097-7107
    DOI : 10.1021/acs.jcim.4c01451