Follow
Shota Saito
Shota Saito
SkillUp AI Co., Ltd. / Yokohama National University
Verified email at ynu.jp - Homepage
Title
Cited by
Cited by
Year
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
912019
CMA-ES with margin: Lower-bounding marginal probability for mixed-integer black-box optimization
R Hamano, S Saito, M Nomura, S Shirakawa
Proceedings of the genetic and evolutionary computation conference, 639-647, 2022
222022
Embedded feature selection using probabilistic model-based optimization
S Saito, S Shirakawa, Y Akimoto
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
92018
Controlling model complexity in probabilistic model-based dynamic optimization of neural network structures
S Saito, S Shirakawa
International Conference on Artificial Neural Networks, 393-405, 2019
72019
Optimization of H0 Photonic Crystal Nanocavity using Neural Network
R Abe, T Takeda, R Shiratori, S Shirakawa, S Saito, T Baba
2019 24th OptoElectronics and Communications Conference (OECC) and 2019 …, 2019
42019
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
22019
Probabilistic model-based dynamic architecture search
N Yoshinari, K Uchida, S Saito, S Shirakawa, Y Akimoto
22018
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network
K Nishida, H Aguirre, S Saito, S Shirakawa, Y Akimoto
arXiv:1809.06517, 2018
12018
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
The system can't perform the operation now. Try again later.
Articles 1–9