Kenta Oono - RankMe

21 papers A* 5Journal 16

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