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Kenta Oono
Kenta Oono
Preferred Networks, Inc.
Verified email at preferred.jp - Homepage
Title
Cited by
Cited by
Year
Chainer: a next-generation open source framework for deep learning
S Tokui, K Oono, S Hido, J Clayton
Proceedings of workshop on machine learning systems (LearningSys) in the …, 2015
11052015
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
K Oono, T Suzuki
International Conference on Learning Representations (ICLR 2020), 2019
2902019
Population-based de novo molecule generation, using grammatical evolution
N Yoshikawa, K Terayama, M Sumita, T Homma, K Oono, K Tsuda
Chemistry Letters 47 (11), 1431-1434, 2018
1012018
Coupling-based invertible neural networks are universal diffeomorphism approximators
T Teshima, I Ishikawa, K Tojo, K Oono, M Ikeda, M Sugiyama
Advances in Neural Information Processing Systems 33, 3362-3373, 2020
982020
Generative machine learning systems for drug design
O Kenta, J Clayton, N Ota
US Patent 10,776,712, 2020
822020
Approximation and non-parametric estimation of ResNet-type convolutional neural networks
K Oono, T Suzuki
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
632019
Graph residual flow for molecular graph generation
S Honda, H Akita, K Ishiguro, T Nakanishi, K Oono
arXiv preprint arXiv:1909.13521, 2019
502019
Universal approximation property of neural ordinary differential equations
T Teshima, K Tojo, M Ikeda, I Ishikawa, K Oono
arXiv preprint arXiv:2012.02414, 2020
352020
Abnormality detection system, abnormality detection method, abnormality detection program, and method for generating learned model
D Okanohara, O Kenta
US Patent 10,831,577, 2020
322020
Optimization and generalization analysis of transduction through gradient boosting and application to multi-scale graph neural networks
K Oono, T Suzuki
Advances in Neural Information Processing Systems 33, 18917-18930, 2020
242020
Systems and methods for multimodal generative machine learning
O Kenta, J Clayton
US Patent App. 16/070,276, 2019
242019
Semi-supervised learning of hierarchical representations of molecules using neural message passing
H Nguyen, S Maeda, K Oono
arXiv preprint arXiv:1711.10168, 2017
172017
Universal approximation property of invertible neural networks
I Ishikawa, T Teshima, K Tojo, K Oono, M Ikeda, M Sugiyama
Journal of Machine Learning Research 24 (287), 1-68, 2023
152023
Information processing device and information processing method
S Tokui, Y Unno, O Kenta, R Okuta
US Patent 11,521,070, 2022
102022
Weisfeiler-Lehman embedding for molecular graph neural networks
K Ishiguro, K Oono, K Hayashi
arXiv preprint arXiv:2006.06909, 2020
72020
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns
S Onishi, K Oono, K Hayashi
arXiv preprint arXiv:2303.15747, 2023
62023
Prediction of tissue-of-origin of early stage cancers using serum miRNomes
J Matsuzaki, K Kato, K Oono, N Tsuchiya, K Sudo, A Shimomura, ...
JNCI Cancer Spectrum 7 (1), pkac080, 2023
62023
Testing properties of functions on finite groups
K Oono, Y Yoshida
Random Structures & Algorithms 49 (3), 579-598, 2016
52016
Abnormality detection system, abnormality detection method, abnormality detection program, and method for generating learned model
D Okanohara, O Kenta
US Patent 11,334,407, 2022
32022
Disease affection determination device, disease affection determination method, and disease affection determination program
D Okanohara, O Kenta, N Ota, K Hamzaoui, T Akiba
US Patent App. 16/346,017, 2019
32019
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