Takuya Kanazawa

13 papers B 2C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multivariate Uncertainty Quantification with Tomographic Quantile Forests. CoRR Takuya Kanazawa
2023	J	`jnl`	Knowledge-enhanced reinforcement learning for multi-machine integrated production and maintenance scheduling. Comput. Ind. Eng. Jueming Hu, Haiyan Wang, Hsiu-Khuern Tang, Takuya Kanazawa, Chetan Gupta, Ahmed K. Farahat
2023	—	`conf`	Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. ICANN (6) Takuya Kanazawa, Chetan Gupta
2023	J	`jnl`	Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning. CoRR Takuya Kanazawa, Chetan Gupta
2022	B	`conf`	Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. IJCNN Takuya Kanazawa, Haiyan Wang, Chetan Gupta
2022	J	`jnl`	Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control. CoRR Takuya Kanazawa, Haiyan Wang, Chetan Gupta
2022	B	`conf`	One-Parameter Family of New Acquisition Functions for Efficient Global Optimization. IJCNN Takuya Kanazawa
2022	C	`conf`	Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. IJCCI Takuya Kanazawa, Chetan Gupta
2022	J	`jnl`	Sample-based Uncertainty Quantification with a Single Deterministic Neural Network. CoRR Takuya Kanazawa, Chetan Gupta
2021	J	`jnl`	Efficient Bayesian Optimization using Multiscale Graph Correlation. CoRR Takuya Kanazawa
2021	J	`jnl`	One-parameter family of acquisition functions for efficient global optimization. CoRR Takuya Kanazawa
2021	J	`jnl`	Using Distance Correlation for Efficient Bayesian Optimization. CoRR Takuya Kanazawa
2019	J	`jnl`	Accelerating small-angle scattering experiments with simulation-based machine learning. CoRR Takuya Kanazawa, Akinori Asahara, Hidekazu Morita