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Kenta Oono
Publication Activity (10 Years)
Years Active: 2015-2023
Publications (10 Years): 19
Top Topics
Neural Network
Ordinary Differential Equations
Previously Unseen
Expressive Power
Top Venues
CoRR
ICML
NeurIPS
ICLR
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Publications
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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
(2023)
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)
Yuri Kinoshita
,
Kenta Oono
,
Kenji Fukumizu
,
Yuichi Yoshida
,
Shin-ichi Maeda
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network.
CoRR
(2023)
Soma Onishi
,
Kenta Oono
,
Kohei Hayashi
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns.
CoRR
(2023)
Isao Ishikawa
,
Takeshi Teshima
,
Koichi Tojo
,
Kenta Oono
,
Masahiro Ikeda
,
Masashi Sugiyama
Universal approximation property of invertible neural networks.
CoRR
(2022)
Rina Onda
,
Zhengyan Gao
,
Masaaki Kotera
,
Kenta Oono
Fast Estimation Method for the Stability of Ensemble Feature Selectors.
CoRR
(2021)
Kenta Oono
,
Taiji Suzuki
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks.
CoRR
(2020)
Takeshi Teshima
,
Isao Ishikawa
,
Koichi Tojo
,
Kenta Oono
,
Masahiro Ikeda
,
Masashi Sugiyama
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators.
NeurIPS
(2020)
Takeshi Teshima
,
Koichi Tojo
,
Masahiro Ikeda
,
Isao Ishikawa
,
Kenta Oono
Universal Approximation Property of Neural Ordinary Differential Equations.
CoRR
(2020)
Kenta Oono
,
Taiji Suzuki
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
ICLR
(2020)
Katsuhiko Ishiguro
,
Kenta Oono
,
Kohei Hayashi
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks.
CoRR
(2020)
Takeshi Teshima
,
Isao Ishikawa
,
Koichi Tojo
,
Kenta Oono
,
Masahiro Ikeda
,
Masashi Sugiyama
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators.
CoRR
(2020)
Kenta Oono
,
Taiji Suzuki
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks.
NeurIPS
(2020)
Kenta Oono
,
Taiji Suzuki
On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective.
CoRR
(2019)
Kenta Oono
,
Taiji Suzuki
Approximation and non-parametric estimation of ResNet-type convolutional neural networks.
ICML
(2019)
Kenta Oono
,
Taiji Suzuki
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks.
CoRR
(2019)
Shion Honda
,
Hirotaka Akita
,
Katsuhiko Ishiguro
,
Toshiki Nakanishi
,
Kenta Oono
Graph Residual Flow for Molecular Graph Generation.
CoRR
(2019)
Hai Nguyen
,
Shin-ichi Maeda
,
Kenta Oono
Semi-supervised learning of hierarchical representations of molecules using neural message passing.
CoRR
(2017)
Kenta Oono
,
Yuichi Yoshida
Testing properties of functions on finite groups.
Random Struct. Algorithms
49 (3) (2016)
Kenta Oono
,
Yuichi Yoshida
Testing Properties of Functions on Finite Groups.
CoRR
(2015)