Kenta Oono

According to our database, Kenta Oono authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics.

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

CoRR, 2023

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns.

Soma Onishi, Kenta Oono, Kohei Hayashi

CoRR, 2023

Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network.

Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda

Proceedings of the International Conference on Machine Learning, 2023

2022

Universal approximation property of invertible neural networks.

Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama

CoRR, 2022

2021

Fast Estimation Method for the Stability of Ensemble Feature Selectors.

Rina Onda, Zhengyan Gao, Masaaki Kotera, Kenta Oono

CoRR, 2021

2020

Universal Approximation Property of Neural Ordinary Differential Equations.

Takeshi Teshima, Koichi Tojo, Masahiro Ikeda, Isao Ishikawa, Kenta Oono

CoRR, 2020

Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks.

Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi

CoRR, 2020

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators.

Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks.

Kenta Oono, Taiji Suzuki

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.

Kenta Oono, Taiji Suzuki

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Graph Residual Flow for Molecular Graph Generation.

Shion Honda, Hirotaka Akita, Katsuhiko Ishiguro, Toshiki Nakanishi, Kenta Oono

CoRR, 2019

On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective.

Kenta Oono, Taiji Suzuki

CoRR, 2019

Approximation and non-parametric estimation of ResNet-type convolutional neural networks.

Kenta Oono, Taiji Suzuki

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Semi-supervised learning of hierarchical representations of molecules using neural message passing.

Hai Nguyen, Shin-ichi Maeda, Kenta Oono

CoRR, 2017

2016

Testing properties of functions on finite groups.

Kenta Oono, Yuichi Yoshida

Random Struct. Algorithms, 2016