烏山昌幸

カラスヤママサユキ | Karasuyama Masayuki

所属機関・部署：
職名：准教授
競争的資金等の研究課題 (12件)：

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論文 (53件)：

S. Tajima, R. Sugihara, R. Kitahara, M. Karasuyama. Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute. Proceedings of the 30th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2024). 2024
S. Takeno, Y. Inatsu, M. Karasuyama, I. Takeuchi. Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. Proceedings of The 40th International Conference on Machine Learning (ICML 2024). 2024
R. Ozaki, K. Ishikawa, Y. Kanzaki, S. Takeno, I. Takeuchi, M. Karasuyama. Multi-objective Bayesian Optimization with Active Preference Learning. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2024). 2024. 38. 13. 14490-14498
H. Ishibashi, M. Karasuyama, I. Takeuchi, H. Hino. A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023). 2023
S. Takeno, M. Nomura, M. Karasuyama. Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. Proceedings of The 40th International Conference on Machine Learning (ICML 2023). 2023

MISC (2件)：

書籍 (6件)：

講演・口頭発表等 (69件)：

Microbial Rhodopsin Engineering through Machine Learning and Automated Experiments
(21st IUPAB & 62nd BSJ Joint Congress 2024)
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
(Hot off the Press: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO) 2024)
機械学習に基づく粒界データ解析
(第48回ニューセラミックスセミナー)
Photoluminescence color prediction of Eu3+-doped perovskite-type oxide by supervised machine learning
(E-MRS2023 Spring Strasbourg 2023)
Data-Driven Prediction for Absorption Wavelengths of Microbial Rhodopsins by using Machine Learning Approaches
(第61回日本生物物理学会年会)

学歴 (3件)：

学位 (3件)：

経歴 (7件)：

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受賞 (4件)：

2016 - 情報論的学習理論と機械学習研究会情報論的学習理論と機械学習 (IBISML) 研究会賞ガウス過程を用いた選択的サンプリングとその材料分野への応用
2014 - DREAM Challenges (Dialogue for Reverse Engineering Assessments and Methods) Best Performer in the DREAM 9 Broad-DREAM Gene Essentiality Prediction Sub-Challenge 1
2012 - 東京工業大学手島精一記念研究賞 (博士論文賞)
2008 - IEEE Computational Intelligence Society Japan Chapter IEEE Computational Intelligence Society Japan Chapter Young Researcher Award

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烏山 昌幸