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Oono, Kenta
21  results:
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1

Prediction of tissue-of-origin of early stage cancers using..:

Matsuzaki, Juntaro ; Kato, Ken ; Oono, Kenta...
JNCI Cancer Spectrum.  7 (2022)  1 - p. , 2022
Link: https://doi.org/10.1093/..
 
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2

Population-based De Novo Molecule Generation, Using Grammat..:

Yoshikawa, Naruki ; Terayama, Kei ; Sumita, Masato...
Chemistry Letters.  47 (2018)  11 - p. 1431-1434 , 2018
Link: https://doi.org/10.1246/..
 
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3

Testing properties of functions on finite groups:

Oono, Kenta ; Yoshida, Yuichi
Random Structures & Algorithms.  49 (2016)  3 - p. 579-598 , 2016
Link: https://doi.org/10.1002/..
 
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4

Virtual Human Generative Model: Masked Modeling Approach fo..:

Oono, Kenta ; Charoenphakdee, Nontawat ; Bito, Kotatsu...
http://arxiv.org/abs/2306.10656.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

TabRet: Pre-training Transformer-based Tabular Models for U..:

Onishi, Soma ; Oono, Kenta ; Hayashi, Kohei
http://arxiv.org/abs/2303.15747.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Controlling Posterior Collapse by an Inverse Lipschitz Cons..:

Kinoshita, Yuri ; Oono, Kenta ; Fukumizu, Kenji..
http://arxiv.org/abs/2304.12770.  , 2023
Link: http://arxiv.org/abs/230..
 
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7

Universal approximation property of invertible neural netwo..:

Ishikawa, Isao ; Teshima, Takeshi ; Tojo, Koichi...
http://arxiv.org/abs/2204.07415.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

Prediction of tissue-of-origin of early stage cancers using..:

Matsuzaki, Juntaro ; Kato, Ken ; Oono, Kenta...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825310/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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9

Fast Estimation Method for the Stability of Ensemble Featur..:

Onda, Rina ; Gao, Zhengyan ; Kotera, Masaaki.
http://arxiv.org/abs/2108.01485.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

Analysis of Deep Learning from the Viewpoint of Model Struc..:

大野, 健太 ; Oono, Kenta
甲第38463号.  , 2021
Link: https://repository.dl.it..
 
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11

Universal Approximation Property of Neural Ordinary Differe..:

Teshima, Takeshi ; Tojo, Koichi ; Ikeda, Masahiro..
http://arxiv.org/abs/2012.02414.  , 2020
Link: http://arxiv.org/abs/201..
 
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12

Coupling-based Invertible Neural Networks Are Universal Dif..:

Teshima, Takeshi ; Ishikawa, Isao ; Tojo, Koichi...
http://arxiv.org/abs/2006.11469.  , 2020
Link: http://arxiv.org/abs/200..
 
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13

Weisfeiler-Lehman Embedding for Molecular Graph Neural Netw..:

Ishiguro, Katsuhiko ; Oono, Kenta ; Hayashi, Kohei
http://arxiv.org/abs/2006.06909.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Optimization and Generalization Analysis of Transduction th..:

Oono, Kenta ; Suzuki, Taiji
http://arxiv.org/abs/2006.08550.  , 2020
Link: http://arxiv.org/abs/200..
 
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15

Graph Residual Flow for Molecular Graph Generation:

Honda, Shion ; Akita, Hirotaka ; Ishiguro, Katsuhiko..
http://arxiv.org/abs/1909.13521.  , 2019
Link: http://arxiv.org/abs/190..
 
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