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トゥレソフィ 研究業績一覧 (5件)
- 2025
- 2024
- 2023
- 2022
- 2021


- 全件表示
論文
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Tony Ribeiro,
Sophie Tourret,
Maxime Folschette,
Morgan Magnin,
Domenico Borzacchiello,
Francisco Chinesta,
Olivier Roux,
Katsumi Inoue.
Learning Programs with Continuous Domains from State Transitions,
In: Proceedings of the 27th International Conference on Inductive Logic Programming (ILP 2017; Orléans, France, September 4-6, 2017),
Springer,
to appear,
Sept. 2017.
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Yin Jun Phua,
Sophie Tourret,
Tony Ribeiro,
Katsumi Inoue.
Learning Logic Program Representation for Delayed Systems with Limited Training Data,
In: The 27th International Conference on Inductive Logic Programming (ILP 2017; Orléans, France, September 4-6, 2017),
to appear,
Sept. 2017.
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Sophie Tourret,
Enguerrand Gentet,
Katsumi Inoue.
Learning Human-Understandable Description of Dynamical Systems from Feed-Forward Neural Networks,
In: Fengyu Cong, Andrew Leung and Qinglai Wei (eds.), Advances in Neural Networks: Proceedings of the 14th International Symposium (ISNN 2017; Sapporo, Japan, June 21-23, 2017), Part 1, Lecture Notes in Computer Science,
Springer,
Vol. 10261,
pp. 483-492,
June 2017.
国際会議発表 (査読有り)
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Yin Jun Phua,
Sophie Tourret,
Katsumi Inoue.
Learning Logic Program Representation from Delayed Interpretation Transition Using Recurrent Neural Networks,
In: Proceedings of the 1st International Workshop on Symbolic-Neural Learning (SNL-2017; Nagoya, Japan, July 7-8, 2017),
no. 10,
July 2017.
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Enguerrand Gentet,
Sophie Tourret,
Katsumi Inoue.
Learning from Interpretation Transition using Feed-Forward Neural Networks,
In: James Cussens and Alessandra Russo (eds.), Proceedings of the 26th International Conference on Inductive Logic Programming (ILP 2016; London, UK) (Short papers), CEUR Workshop Proceedings,
CEUR-WS.org,
Vol. 1865,
pp. 27-33,
June 2017.
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