Machine Learning and Data Science Laboratory, Department of Mechanical System Engineering, Graduate School of Engineering, Nagoya University

Publications

Under construction (only publications after 2022 are listed)

S. Takeno, H. Fukuoka, Y. Tsukada, T. Koyama, M Shiga, I. Takeuchi and Masayuki Karasuyama, A Generalized Framework of Multi-fidelity Max-value Entropy Search through Joint Entropy, Neural Computation (2022) 34 (10): 2145–2203.
T. Atsumi, K. Sato, Y. Yamaguchi, M. Hamaie, R. Yasuda, N. Tanibata, H. Takeda, M. Nakayama, M. Karasuyama, I. Takeuchi, Chemical composition data‐driven machine‐learning prediction for phase stability and materials properties of inorganic crystalline solids. physica status solidi (b) 2022.

Inatsu, Y., Takeno, S., Karasuyama, M. and Takeuchi, I., Bayesian Optimization for Distributionally Robust Chance-constrained Problem. Proceedings of International Conference on Machine Learning 2022 (ICML2022), 2022, July. (acceptance rate 0.22)