| Adaptive stochastic natural gradient method for one-shot neural architecture search Y Akimoto, S Shirakawa, N Yoshinari, K Uchida, S Saito, K Nishida International Conference on Machine Learning, 171-180, 2019 | 91 | 2019 |
| Finite-sample analysis of information geometric optimization with isotropic Gaussian distribution on convex quadratic functions K Uchida, S Shirakawa, Y Akimoto IEEE Transactions on Evolutionary Computation 24 (6), 1035-1049, 2019 | 5 | 2019 |
| Analysis of information geometric optimization with isotropic Gaussian distribution under finite samples K Uchida, S Shirakawa, Y Akimoto Proceedings of the Genetic and Evolutionary Computation Conference, 897-904, 2018 | 5 | 2018 |
| Generation of microscopic structure of solder material with desirable characteristics based on deep learning K Uchida, G Sakata, T Watari, Y Yamakita, S Shirakawa Knowledge-Based Systems 258, 110017, 2022 | 3 | 2022 |
| Adaptive stochastic natural gradient method for optimizing functions with low effective dimensionality T Yamaguchi, K Uchida, S Shirakawa Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 2 | 2020 |
| Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization K Uchida, S Saito, PD Pamungkasari, Y Kawai, IF Hanoum, FH Juwono, ... Advances in Visual Computing: 14th International Symposium on Visual …, 2019 | 2 | 2019 |
| Probabilistic model-based dynamic architecture search N Yoshinari, K Uchida, S Saito, S Shirakawa, Y Akimoto | 2 | 2018 |
| (1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems Y Watanabe, K Uchida, R Hamano, S Saito, M Nomura, S Shirakawa arXiv preprint arXiv:2305.00849, 2023 | 1 | 2023 |
| Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality T Yamaguchi, K Uchida, S Shirakawa 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 1659-1668, 2022 | 1 | 2022 |
| HACNet: End-to-end learning of table-to-image converter and convolutional neural network T Matsuda, K Uchida, S Saito, S Shirakawa | 1 | 2022 |
| HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network T Matsuda, K Uchida, S Saito, S Shirakawa Knowledge-Based Systems 284, 111293, 2024 | | 2024 |
| Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions Y Yamada, K Uchida, S Saito, S Shirakawa Applications of Evolutionary Computation: 26th European Conference …, 2023 | | 2023 |
| Embryo Grade Prediction for In-Vitro Fertilization PD Pamungkasari, K Uchida, S Saito, FH Juwono, IF Hanoum, ... Deep Learning for Biomedical Applications, 21-40, 2021 | | 2021 |
Shinichi ShirakawaYokohama National UniversityVerified email at ynu.ac.jp
