Masanori Koyama
Masanori Koyama
Ritsumeikan University
No verified email
Title
Cited by
Cited by
Year
Spectral normalization for generative adversarial networks
T Miyato, T Kataoka, M Koyama, Y Yoshida
arXiv preprint arXiv:1802.05957, 2018
20172018
Virtual adversarial training: a regularization method for supervised and semi-supervised learning
T Miyato, S Maeda, M Koyama, S Ishii
IEEE transactions on pattern analysis and machine intelligence 41 (8), 1979-1993, 2018
9542018
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
3872015
Distributional smoothing with virtual adversarial training
T Miyato, S Maeda, M Koyama, K Nakae, S Ishii
arXiv preprint arXiv:1507.00677, 2015
3872015
Optuna: A next-generation hyperparameter optimization framework
T Akiba, S Sano, T Yanase, T Ohta, M Koyama
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
3012019
cGANs with projection discriminator
T Miyato, M Koyama
arXiv preprint arXiv:1802.05637, 2018
2372018
Big data analytics and precision animal agriculture symposium: Machine learning and data mining advance predictive big data analysis in precision animal agriculture
G Morota, RV Ventura, FF Silva, M Koyama, SC Fernando
Journal of animal science 96 (4), 1540-1550, 2018
582018
Deep learning of fMRI big data: a novel approach to subject-transfer decoding
S Koyamada, Y Shikauchi, K Nakae, M Koyama, S Ishii
arXiv preprint arXiv:1502.00093, 2015
552015
Robustness to adversarial perturbations in learning from incomplete data
A Najafi, S Maeda, M Koyama, T Miyato
arXiv preprint arXiv:1905.13021, 2019
522019
Characteristics of acrylic acid and N‐isopropylacrylamide binary monomers–grafted polyethylene film synthesized by photografting
T Kondo, M Koyama, H Kubota, R Katakai
Journal of applied polymer science 67 (12), 2057-2064, 1998
521998
Airbag module cover
H Saito, M Ochiai, H Inoue, T Fujimori, M Koyama
US Patent 5,678,851, 1997
481997
Machine learning and data mining advance predictive big data analysis in precision animal agriculture
G Morota, RV Ventura, FF Silva, M Koyama, SC Fernando
Journal of Animal Science, 2018
312018
Predicting complex traits using a diffusion kernel on genetic markers with an application to dairy cattle and wheat data
G Morota, M Koyama, GJM Rosa, KA Weigel, D Gianola
Genetics Selection Evolution 45 (1), 1-15, 2013
312013
Non-explosivity of stochastically modeled reaction networks that are complex balanced
DF Anderson, D Cappelletti, M Koyama, TG Kurtz
Bulletin of mathematical biology 80 (10), 2561-2579, 2018
272018
Weak error analysis of numerical methods for stochastic models of population processes
DF Anderson, M Koyama
Multiscale Modeling & Simulation 10 (4), 1493-1524, 2012
262012
Photografting of methacrylic acid on low‐density polyethylene film in presence of polyfunctional monomers
H Kubota, M Koyama
Journal of applied polymer science 63 (12), 1635-1641, 1997
261997
A wrapped normal distribution on hyperbolic space for gradient-based learning
Y Nagano, S Yamaguchi, Y Fujita, M Koyama
International Conference on Machine Learning, 4693-4702, 2019
232019
Cowl-top cover
K Sakai, T Kurata, A Ishikawa, M Koyama, K Matsuyama
US Patent 7,357,446, 2008
202008
Cowl top cover
M Koyama, N Onuma, A Ishikawa, K Sakai
US Patent 7,316,448, 2008
202008
A graph theoretic framework of recomputation algorithms for memory-efficient backpropagation
M Kusumoto, T Inoue, G Watanabe, T Akiba, M Koyama
arXiv preprint arXiv:1905.11722, 2019
112019
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Articles 1–20