Kento Uchida

According to our database, Kento Uchida authored at least 31 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient.

Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2026

2025

Surrogate Benchmarks for Model Merging Optimization.

Rio Akizuki, Yuya Kudo, Nozomu Yoshinari, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, Shinichi Shirakawa

CoRR, September, 2025

Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers.

Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, Shinichi Shirakawa

CoRR, June, 2025

Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm.

Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto

Evol. Comput., 2025

OnDeFog: Online Decision Transformer Under Frame Dropping.

Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu, Kento Uchida, Shinichi Shirakawa

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift.

Keisuke Sugawara, Kento Uchida, Shinichi Shirakawa

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Uncertainty-Aware Self-Localization for Bulldozers Using Machine Learning with Internal Sensor Data.

Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, Shinichi Shirakawa

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

Search Space Selection Using Constrained Mixed-Integer Optimization Method.

Kento Uchida, Yohei Watanabe, Ryoki Hamano, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality.

Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality.

Haruhito Nakagawa, Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

Elitist Evolutionary Algorithm for Optimization on Sets of Points.

Takumi Matsuo, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables.

Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers.

Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network.

Takuya Matsuda, Kento Uchida, Shota Saito, Shinichi Shirakawa

Knowl. Based Syst., 2024

Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality.

Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa

CoRR, 2024

CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Warm Starting of CMA-ES for Contextual Optimization Problems.

Yuta Sekino, Kento Uchida, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck.

Yen-Hsiu Chen, Yoichi Hirose, Shoma Shimizu, Shota Saito, Kento Uchida, Shinichi Shirakawa, Takayuki Nishio

Proceedings of the IEEE Globecom Workshops 2024, 2024

How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions.

Yutaro Yamada, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

CMA-ES with Adaptive Reevaluation for Multiplicative Noise.

Kento Uchida, Kenta Nishihara, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CMA-ES for Safe Optimization.

Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

CatCMA : Stochastic Optimization for Mixed-Category Problems.

Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems.

Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions.

Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022

Generation of microscopic structure of solder material with desirable characteristics based on deep learning.

Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa

Knowl. Based Syst., 2022

Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality.

Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2020

Finite-Sample Analysis of Information Geometric Optimization With Isotropic Gaussian Distribution on Convex Quadratic Functions.

Kento Uchida, Shinichi Shirakawa, Youhei Akimoto

IEEE Trans. Evol. Comput., 2020

Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality.

Teppei Yamaguchi, Kento Uchida, Shinichi Shirakawa

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization.

Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono, Shinichi Shirakawa

Proceedings of the Advances in Visual Computing, 2019

Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search.

Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito, Kouhei Nishida

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Analysis of information geometric optimization with isotropic gaussian distribution under finite samples.

Kento Uchida, Shinichi Shirakawa, Youhei Akimoto

Proceedings of the Genetic and Evolutionary Computation Conference, 2018