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ORCIDKento Uchida
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2020 – today
- 2024
[j3]Takuya Matsuda, Kento Uchida
, Shota Saito, Shinichi Shirakawa:
HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network. Knowl. Based Syst. 284: 111293 (2024)- [c13]Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa:
CatCMA : Stochastic Optimization for Mixed-Category Problems. GECCO 2024 - [c12]Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa:
CMA-ES for Safe Optimization. GECCO 2024 - [c11]Kento Uchida, Kenta Nishihara, Shinichi Shirakawa:
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. GECCO 2024 - [c10]Yutaro Yamada, Kento Uchida, Shinichi Shirakawa:
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion 2024: 383-386 - [c9]Yuta Sekino, Kento Uchida, Shinichi Shirakawa:
Warm Starting of CMA-ES for Contextual Optimization Problems. PPSN (2) 2024: 205-220 - [c8]Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa:
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. PPSN (2) 2024: 236-251 - [i8]Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa:
CatCMA : Stochastic Optimization for Mixed-Category Problems. CoRR abs/2405.09962 (2024) - [i7]Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa:
CMA-ES for Safe Optimization. CoRR abs/2405.10534 (2024) - [i6]Kento Uchida, Kenta Nishihara, Shinichi Shirakawa:
CMA-ES with Adaptive Reevaluation for Multiplicative Noise. CoRR abs/2405.11471 (2024) - [i5]Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto:
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. CoRR abs/2407.07388 (2024) - [i4]Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa:
CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points. CoRR abs/2408.13046 (2024) - [i3]Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa:
Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality. CoRR abs/2412.01156 (2024) - 2023
- [c7]Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa:
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar 2023: 798-814 - [c6]Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa:
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. GECCO 2023: 882-890 - [i2]Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa:
(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems. CoRR abs/2305.00849 (2023) - 2022
- [j2]Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa:
Generation of microscopic structure of solder material with desirable characteristics based on deep learning. Knowl. Based Syst. 258: 110017 (2022) - [c5]Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa:
Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality. SSCI 2022: 1659-1668 - 2020
- [j1]Kento Uchida, Shinichi Shirakawa, Youhei Akimoto:
Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions. IEEE Trans. Evol. Comput. 24(6): 1035-1049 (2020) - [c4]Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa:
Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality. PPSN (1) 2020: 719-731
2010 – 2019
- 2019
- [c3]Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida:
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. ICML 2019: 171-180 - [c2]Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa:
Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization. ISVC (2) 2019: 14-24 - [i1]Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida:
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search. CoRR abs/1905.08537 (2019) - 2018
- [c1]Kento Uchida, Shinichi Shirakawa, Youhei Akimoto:
Analysis of information geometric optimization with isotropic gaussian distribution under finite samples. GECCO 2018: 897-904
Coauthor Index
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