Rchr
J-GLOBAL ID:201801004612031499
Update date: Apr. 16, 2024
Sonoda Sho
ソノダ ショウ | Sonoda Sho
Affiliation and department:
Job title:
Senior Scientist
Homepage URL (1):
https://sites.google.com/view/shosonoda/
Research field (1):
Intelligent informatics
Research keywords (8):
machine learning
, deep learning
, integral representation theory
, neural network
, harmonic analysis
, kernel quadrature
, Wasserstein geometry
, particle filtering
Research theme for competitive and other funds (3):
- 2021 - 2025 複雑データに内在する深層構造の理論と応用
- 2018 - 2022 Transportation analysis of deep neural networks
- 2015 - 2017 積分表現理論によるディープニューラルネットの解析と設計指標の開発
Papers (17):
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Sho Sonoda, Isao Ishikawa, Masahiro Ikeda. A unified Fourier slice method to derive ridgelet transform for a variety of depth-2 neural networks. Journal of Statistical Planning and Inference. 2024
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Kaito Watanabe, Kotaro Sakamoto, Ryo Karakida, Sho Sonoda, Shun-ichi Amari. Deep learning in random neural fields: Numerical experiments via neural tangent kernel. Neural Networks. 2023
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Sho Sonoda, Isao Ishikawa, Masahiro Ikeda. Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups. Advances in Neural Information Processing Systems. 2022. 35. 38680-38694
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Sho Sonoda, Isao Ishikawa, Masahiro Ikeda. Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis. Proceedings of the 39th International Conference on Machine Learning. 2022. 162. 20405-20422
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Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama. Differentiable Multiple Shooting Layers. Advances in Neural Information Processing Systems. 2021. 34. 16532-16544
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MISC (10):
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Sho Sonoda, Isao Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata. The global optimum of shallow neural network is attained by ridgelet transform. 2018
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Invited Talk : Transportation aspect of deep neural network. 2017. 117. 210. 185-188
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New Lerning Algorythm of Neural Network using Integral Representation and Kernel Herding. 2017. 116. 500. 25-31
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Transportation aspect of infinitely deep denoising autoencoder. 2016. 116. 300. 297-304
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Sonoda Sho, Murata Noboru. Toward Ridgelet Analysis of Deep Learning (Wavelet analysis and signal processing). RIMS Kokyuroku. 2016. 2001. 64-73
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Professional career (1):
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