Kenta Oono

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Ordinary Differential Equations

Previously Unseen

Expressive Power

Top Venues

Publications

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)