Tomas Rigaux

Tomas Rigaux

PhD Student at Kashima Lab, Kyoto University

2024
Tomas Rigaux, and Hisashi Kashima. Enhancing Chess Reinforcement Learning with Graph Representation, 2024, arXiv:2410.23753.

2022
Tomas Rigaux, Jill-Jênn Vie, and Sein Minn. Privacy-Preserving Synthetic Educational Data Generation, Proceedings of EC-TEL 2022, in press, 2022.
Jill-Jênn Vie, Tomas Rigaux, and Hisashi Kashima. Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems, In Proceedings of IEEE BigData 2022, in press, 2022.

2018
Masakazu Ishihata, Takanori Maehara, and Tomas Rigaux. Algorithmic Meta-Theorems for Monotone Submodular Maximization, 2018, arXiv:1807.04575.