Tomas Rigaux

Tomas Rigaux

PhD Student at Kashima Lab, Kyoto University

2026
Tomas Rigaux, and Hisashi Kashima. Predicting Drafted Deck Strength for “Magic: the Gathering”, In 2026 IEEE Conference on Games (CoG), 2026.

2024
Tomas Rigaux, and Hisashi Kashima. Enhancing Chess Reinforcement Learning with Graph Representation, In Advances in Neural Information Processing Systems, 2024.

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.