Kenta Oono

1. Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
   2020/06/20 by Takeshi Teshima, Isao Ishikawa, Teshima, Takeshi +9 · 5 citations
   Computer Science · Physics and Astronomy · #Classical Analysis and ODEs (math.CA) #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
2. Universal approximation property of invertible neural networks
   2022/04/15 by Isao Ishikawa, Ishikawa, Isao, Takeshi Teshima +9 · 3 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
3. Universal Approximation Property of Neural Ordinary Differential Equations
   2020/12/04 by Takeshi Teshima, Koichi Tojo, Teshima, Takeshi +7 · 2 citations
   Computer Science · Physics and Astronomy · #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
4. Graph Residual Flow for Molecular Graph Generation
   2019/09/30 by Shion Honda, Hirotaka Akita, Honda, Shion +7 · 2 citations
   Computer Science · Engineering · Materials Science · #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning in Materials Science
5. Testing Properties of Functions on Finite Groups
   2015/09/03 by Kenta Oono, Yuichi Yoshida, Oono, Kenta +1 · 1 citation
   Computer Science · Mathematics · Medicine · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Finite Group Theory Research #Matrix Theory and Algorithms #Medical Imaging Techniques and Applications
6. Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
   2023/04/25 by Yuri Kinoshita, Kenta Oono, Kinoshita, Yuri +7 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks
7. Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
   2019/05/27 by Kenta Oono, Taiji Suzuki, Oono, Kenta +1 · 1 citation
   Computer Science · #05C99 #62M45 #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #G.2.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
8. Semi-supervised learning of hierarchical representations of molecules using neural message passing
   2017/11/28 by Hai Nguyen, Nguyen, Hai, Shin‐ichi Maeda +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics #Machine Learning in Materials Science