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Kenta Oono
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics
6 November 2024 by
Kenta Oono
and
others
Machine Learning
,
Artificial Intelligence
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
25 April 2023 by
Yuri Kinoshita
and
others
Machine Learning
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns
5 April 2023 by
Soma Onishi
and
others
Machine Learning
,
Artificial Intelligence
Universal approximation property of invertible neural networks
15 April 2022 by
Isao Ishikawa
and
others
Machine Learning
,
Neural and Evolutionary Computing
Fast Estimation Method for the Stability of Ensemble Feature Selectors
3 August 2021 by
Rina Onda
and
others
Machine Learning
Universal Approximation Property of Neural Ordinary Differential Equations
4 December 2020 by
Takeshi Teshima
and
others
Machine Learning
,
Differential Geometry
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
4 November 2020 by
Takeshi Teshima
and
others
Machine Learning
,
Neural and Evolutionary Computing
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
20 October 2020 by
Kenta Oono
and
Taiji Suzuki
Machine Learning
,
Statistics Theory
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
18 August 2020 by
Katsuhiko Ishiguro
and
others
Machine Learning
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
2 October 2019 by
Kenta Oono
and
Taiji Suzuki
Machine Learning
Graph Residual Flow for Molecular Graph Generation
30 September 2019 by
Shion Honda
and
others
Machine Learning
Sub-pixel Response of Double-SOI Pixel Sensors for X-ray Astronomy
27 August 2019 by
Koichi Hagino
and
others
Instrumentation and Methods for Astrophysics
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks
25 May 2019 by
Kenta Oono
and
Taiji Suzuki
Machine Learning
,
Statistics Theory
Population-based de novo molecule generation, using grammatical evolution
6 April 2018 by
Naruki Yoshikawa
and
others
Chemical Physics
,
Biomolecules
Semi-supervised learning of hierarchical representations of molecules using neural message passing
29 November 2017 by
Hai Nguyen
and
others
Machine Learning
Testing Properties of Functions on Finite Groups
3 September 2015 by
Kenta Oono
and
Yuichi Yoshida
Data Structures and Algorithms