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Kenta Oono
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Journal Articles
- 2023
- [j2]Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama:
Universal Approximation Property of Invertible Neural Networks. J. Mach. Learn. Res. 24: 287:1-287:68 (2023) - 2016
- [j1]Kenta Oono, Yuichi Yoshida:
Testing properties of functions on finite groups. Random Struct. Algorithms 49(3): 579-598 (2016)
Conference and Workshop Papers
- 2023
- [c5]Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda:
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. ICML 2023: 17041-17060 - 2020
- [c4]Kenta Oono, Taiji Suzuki:
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification. ICLR 2020 - [c3]Kenta Oono, Taiji Suzuki:
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks. NeurIPS 2020 - [c2]Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama:
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators. NeurIPS 2020 - 2019
- [c1]Kenta Oono, Taiji Suzuki:
Approximation and non-parametric estimation of ResNet-type convolutional neural networks. ICML 2019: 4922-4931
Informal and Other Publications
- 2023
- [i14]Soma Onishi, Kenta Oono, Kohei Hayashi:
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns. CoRR abs/2303.15747 (2023) - [i13]Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda:
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network. CoRR abs/2304.12770 (2023) - [i12]Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi:
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR abs/2306.10656 (2023) - 2022
- [i11]Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama:
Universal approximation property of invertible neural networks. CoRR abs/2204.07415 (2022) - 2021
- [i10]Rina Onda, Zhengyan Gao, Masaaki Kotera, Kenta Oono:
Fast Estimation Method for the Stability of Ensemble Feature Selectors. CoRR abs/2108.01485 (2021) - 2020
- [i9]Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi:
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks. CoRR abs/2006.06909 (2020) - [i8]Kenta Oono, Taiji Suzuki:
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks. CoRR abs/2006.08550 (2020) - [i7]Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama:
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators. CoRR abs/2006.11469 (2020) - [i6]Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono:
Universal Approximation Property of Neural Ordinary Differential Equations. CoRR abs/2012.02414 (2020) - 2019
- [i5]Kenta Oono, Taiji Suzuki:
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks. CoRR abs/1903.10047 (2019) - [i4]Kenta Oono, Taiji Suzuki:
On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective. CoRR abs/1905.10947 (2019) - [i3]Shion Honda, Hirotaka Akita, Katsuhiko Ishiguro, Toshiki Nakanishi, Kenta Oono:
Graph Residual Flow for Molecular Graph Generation. CoRR abs/1909.13521 (2019) - 2017
- [i2]Hai Nguyen, Shin-ichi Maeda, Kenta Oono:
Semi-supervised learning of hierarchical representations of molecules using neural message passing. CoRR abs/1711.10168 (2017) - 2015
- [i1]Kenta Oono, Yuichi Yoshida:
Testing Properties of Functions on Finite Groups. CoRR abs/1509.00930 (2015)
Coauthor Index
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