Oono, Kenta

1. Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
   2020/06/15 by Oono, Kenta, Suzuki, Taiji · 5 citations
   #05C99 #62M45 #FOS: Computer and information sciences #FOS: Mathematics #G.2.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
2. Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
   2020/06/20 by Teshima, Takeshi, Ishikawa, Isao, Tojo, Koichi +3 · 2 citations
   #Classical Analysis and ODEs (math.CA) #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
3. Universal Approximation Property of Neural Ordinary Differential Equations
   2020/12/04 by Teshima, Takeshi, Tojo, Koichi, Ikeda, Masahiro +2 · 2 citations
   #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Testing Properties of Functions on Finite Groups
   2015/09/03 by Oono, Kenta, Yoshida, Yuichi · 1 citation
   #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
5. Universal approximation property of invertible neural networks
   2022/04/15 by Isao Ishikawa, Takeshi Teshima, Ishikawa, Isao +9 · 1 citation
   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)
6. Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
   2023/04/25 by Kinoshita, Yuri, Oono, Kenta, Fukumizu, Kenji +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Graph Residual Flow for Molecular Graph Generation
   2019/09/30 by Shion Honda, Honda, Shion, Hirotaka Akita +7 · 1 citation
   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