Spremljaj
Kenta Oono
Kenta Oono
Preferred Networks, Inc.
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Leto
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
11292015
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
K Oono, T Suzuki
International Conference on Learning Representations (ICLR 2020), 2019
4072019
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
1362018
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
1292020
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
832019
Graph residual flow for molecular graph generation
S Honda, H Akita, K Ishiguro, T Nakanishi, K Oono
arXiv preprint arXiv:1909.13521, 2019
602019
Universal approximation property of neural ordinary differential equations
T Teshima, K Tojo, M Ikeda, I Ishikawa, K Oono
arXiv preprint arXiv:2012.02414, 2020
552020
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
432020
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
392020
Systems and methods for multimodal generative machine learning
O Kenta, J Clayton
US Patent App. 16/070,276, 2019
372019
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
342023
Semi-supervised learning of hierarchical representations of molecules using neural message passing
H Nguyen, S Maeda, K Oono
arXiv preprint arXiv:1711.10168, 2017
212017
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
202023
Information processing device and information processing method
S Tokui, Y Unno, O Kenta, R Okuta
US Patent 11,521,070, 2022
162022
Tabret: Pre-training transformer-based tabular models for unseen columns
S Onishi, K Oono, K Hayashi
arXiv preprint arXiv:2303.15747, 2023
152023
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
72022
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
Y Kinoshita, K Oono, K Fukumizu, Y Yoshida, S Maeda
Proceedings of the 40th International Conference on Machine Learning 202 …, 2023
62023
Weisfeiler-Lehman embedding for molecular graph neural networks
K Ishiguro, K Oono, K Hayashi
arXiv preprint arXiv:2006.06909, 2020
62020
Generative machine learning systems for drug design
O Kenta, J Clayton, N Ota
US Patent 10,776,712, 2020
52020
GenerRNA: A generative pre-trained language model for de novo RNA design
Y Zhao, K Oono, H Takizawa, M Kotera
PLoS One 19 (10), e0310814, 2024
42024
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