Accelerating small-angle scattering experiments with simulation-based machine learning. - Takuya Kanazawa; Akinori Asahara; Hidekazu Morita (CoRR, 2019)

Using Distance Correlation for Efficient Bayesian Optimization. - Takuya Kanazawa (CoRR, 2021)

Efficient Bayesian Optimization using Multiscale Graph Correlation. - Takuya Kanazawa (CoRR, 2021)

One-parameter family of acquisition functions for efficient global optimization. - Takuya Kanazawa (CoRR, 2021)

Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. - Takuya Kanazawa; Chetan Gupta 001 (IJCCI, 2022)

One-Parameter Family of New Acquisition Functions for Efficient Global Optimization. - Takuya Kanazawa (IJCNN, 2022)

Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. - Takuya Kanazawa; Haiyan Wang 003; Chetan Gupta 001 (IJCNN, 2022)

Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. - Takuya Kanazawa; Chetan Gupta 001 (ICANN (6), 2023)

Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. - Jueming Hu; Haiyan Wang 003; Hsiu-Khuern Tang; Takuya Kanazawa; Chetan Gupta 001; Ahmed K. Farahat (Comput. Ind. Eng., 2023)