Kenta Oono

发表

Chainer : a Next-Generation Open Source Framework for Deep Learning

Kenta Oono, Seiya Tokui, Seiya Tokui, 2015 .

On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective pdf

Taiji Suzuki, Kenta Oono, Taiji Suzuki, 2019, ArXiv.

Testing properties of functions on finite groups pdf

Yuichi Yoshida, Kenta Oono, Yuichi Yoshida, 2015, Random Struct. Algorithms.

Universal approximation property of invertible neural networks

Masashi Sugiyama, M. Sugiyama, Kenta Oono, 2022, J. Mach. Learn. Res..

Universal Approximation Property of Neural Ordinary Differential Equations pdf

Takeshi Teshima, Kenta Oono, Masahiro Ikeda, 2020, ArXiv.

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Taiji Suzuki, Kenta Oono, Taiji Suzuki, 2019, ICLR.

Fast Estimation Method for the Stability of Ensemble Feature Selectors pdf

Masaaki Kotera, Kenta Oono, Rina Onda, 2021, ArXiv.

Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study

Kenta Oono, Shoichiro Yamaguchi, Nontawat Charoenphakdee, 2023, JMIR research protocols.

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

Taiji Suzuki, Kenta Oono, Taiji Suzuki, 2020, NeurIPS.

Population-based de novo molecule generation, using grammatical evolution

Koji Tsuda, Kenta Oono, Teruki Honma, 2018, 1804.02134.

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators pdf

Masashi Sugiyama, Takeshi Teshima, Kenta Oono, 2020, NeurIPS.

Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks pdf

Taiji Suzuki, Kenta Oono, Taiji Suzuki, 2019, ICML.

Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks pdf

Katsuhiko Ishiguro, Kenta Oono, Kohei Hayashi, 2020, ArXiv.

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

K. Fukumizu, Yuichi Yoshida, S. Maeda, 2023, International Conference on Machine Learning.

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

Kenta Oono, Hai Nguyen, Shin-ichi Maeda, 2017, ArXiv.

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

S. Maeda, Kenta Oono, Shoichiro Yamaguchi, 2023, ArXiv.

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

Kenta Oono, Kohei Hayashi, Soma Onishi, 2023, ArXiv.

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Taiji Suzuki, Kenta Oono, 2019, ICLR.

GenerRNA: A generative pre-trained language model for de novo RNA design

Kenta Oono, Yichong Zhao, Hiroki Takizawa, 2024, bioRxiv.

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators

Masashi Sugiyama, Kenta Oono, Isao Ishikawa, 2020, NeurIPS.