Sonoda Sho 園田翔

Researcher Number	00801218
Other IDs	https://orcid.org/0000-0001-7242-4740
Affiliation (Current)	2024: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員
Affiliation (based on the past Project Information) *help	2024: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 上級研究員 2021: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 研究員 2018 – 2020: 国立研究開発法人理化学研究所, 革新知能統合研究センター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related Except Principal Investigator Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords	Principal Investigator 機械学習 / 最適輸送理論 / 脳波 / 最適輸送 / 粒子フィルタ / 確率的数値解析 / 大域最適 / 深層ニューラルネット / リッジレット解析 / ベゾフ空間 … More / 量子計算機 / 局所ラデマッハ複雑度 / ODE-Net / 近似下限 / ランダム特徴量 / オーバーパラメトライズ / ラドン変換 / 連続神経場 / 量子機械学習 / 調和解析 / 零空間 / 群畳み込み / 非コンパクト対称空間 / カーネル求積 / Neural ODE / リッジレット変換 / 積分表現理論 / ホワイトボックス化 / ニューラルネット … More Except Principal Investigator 再生核Hilbert空間 / Besov空間 / Koopman作用素 / 力学系 / 深層学習 Less

Deepening the analysis of deep learning through functional space theory
- Principal Investigator
  
  石川勲
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Challenging Research (Pioneering)
- Review Section
  
  Medium-sized Section 60:Information science, computer engineering, and related fields
- Research Institution
  Ehime University
Transportation analysis of deep neural networksPrincipal Investigator
- Principal Investigator
  
  Sonoda Sho
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Institute of Physical and Chemical Research

All 2022 2021 2020 2019 2018

All Journal Article Presentation

[Journal Article] Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis2022
- Author(s)
  Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
- Journal Title
  
  Proceedings of the 39th International Conference on Machine Learning
  
  Volume: -
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] ニューラルネットの関数解析的方法と無限次元零空間2021
- Author(s)
  園田翔
- Journal Title
  
  日本統計学会誌
  
  Volume: 50 Pages: 285-316
- NAID
  130007995101
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] Differentiable Multiple Shooting Layers2021
- Author(s)
  Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 34 Pages: 16532-16544
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum2021
- Author(s)
  S. Sonoda, I. Ishikawa, M. Ikeda
- Journal Title
  
  Proceedings of The 24th International Conference on Artificial Intelligence and Statistics
  
  Volume: 130 Pages: 2674-2682
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions2020
- Author(s)
  H. Yamasaki, S. Subramanian, S. Sonoda, M. Koashi
- Journal Title
  
  Advances in Neural Information Processing Systems
  
  Volume: 33 Pages: 13674-13687
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] Transport Analysis of Infinitely Deep Neural Network2019
- Author(s)
  Sho Sonoda, Noboru Murata
- Journal Title
  
  Journal of Machine Learning Research
  
  Volume: 20 Pages: 1-52
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] 生成・消滅過程に基づくEEGデータの電流ダイポール推定2018
- Author(s)
  中村圭太, 園田翔, 日野英逸, 川崎真弘, 赤穂昭太郎, 村田昇
- Journal Title
  
  研究報告数理モデル化と問題解決（MPS）
  
  Volume: 2018-MPS-118 Pages: 1-8
- Data Source
  KAKENHI-PROJECT-18K18113
[Journal Article] EEG dipole source localization with information criteria for multiple particle filters2018
- Author(s)
  Sonoda Sho, Nakamura Keita, Kaneda Yuki, Hino Hideitsu, Akaho Shotaro, Murata Noboru, Miyauchi Eri, Kawasaki Masahiro
- Journal Title
  
  Neural Networks
  
  Volume: 108 Pages: 68-82
- DOI
  10.1016/j.neunet.2018.08.008
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K18113, KAKENHI-PROJECT-18H03304
[Journal Article] Localizing Current Dipoles from EEG Data Using a Birth-Death Process2018
- Author(s)
  Nakamura Keita, Sonoda Sho, Hino Hideitsu, Kawasaki Masahiro, Akaho Shotaro, Murata Noboru
- Journal Title
  
  2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  
  Volume: 1 Pages: 2645-2651
- DOI
  10.1109/bibm.2018.8621504
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis2022
- Author(s)
  Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
- Organizer
  The 39th International Conference on Machine Learning (ICML2022)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 積分表現でニューラルネットを理解する2021
- Author(s)
  園田翔
- Organizer
  2021年度第5回マス・フォア・イノベーションセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum2021
- Author(s)
  S. Sonoda, I. Ishikawa, M. Ikeda
- Organizer
  The 24th International Conference on Artificial Intelligence and Statistics (AISTATS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ニューラルネットの零空間の精密構造と統計的役割2021
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  2021年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Regression and Classification with Optimized Random Features: Applications of Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rankness Assumptions2021
- Author(s)
  H. Yamasaki, S. Subramanian, S. Sonoda and M. Koashi
- Organizer
  21th Asian Quantum Information Science Conference (AQIS2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Differentiable Multiple Shooting Layers2021
- Author(s)
  Stefano Massaroli, Michael Poli, Sho Sonoda, Taiji Suzuki, Jinkyoo Park, Atsushi Yamashita, Hajime Asama
- Organizer
  The 35th Neural Information Processing Systems (NeurIPS 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 重み付きSobolev空間におけるニューラルネット積分表現作用素の有界性2021
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  実解析学シンポジウム2021
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Quantum algorithm for sampling optimal random features2021
- Author(s)
  S.Sonoda, H. Yamasaki, S. Subramanian, and M. Koashi
- Organizer
  RQC-AIP Joint Seminar
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 積分表現ニューラルネットが定める積分方程式の一般解2021
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  日本応用数理学会2021年度年会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 群畳み込みニューラルネットのリッジレット変換2021
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  第24回情報論的学習理論ワークショップ(IBIS2021)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Ridgelet transform on the matrix space2021
- Author(s)
  S.Sonoda, I.Ishikawa, M.Ikeda
- Organizer
  13th International ISAAC Congress
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Regression and Classification with Optimized Random Features: Applications of Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rankness Assumptions2021
- Author(s)
  H. Yamasaki, S. Subramanian, S. Sonoda and M. Koashi
- Organizer
  Quantum Techniques in Machine Learning (QTML) 2021
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Ghosts in Neural Networks2021
- Author(s)
  園田翔
- Organizer
  第1回AI数理セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 非コンパクト対称空間上の連続ニューラルネットとそのリッジレット変換2021
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  2021年度応用数学合同研究集会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Harmonic Analysis for Neural Networks and its Applications2020
- Author(s)
  S. Sonoda
- Organizer
  Applied and Computational Math Seminar, National University of Singapore (online)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions2020
- Author(s)
  H. Yamasaki, S. Subramanian, S. Sonoda, M. Koashi
- Organizer
  20th Asian Quantum Information Science Conference (AQIS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions2020
- Author(s)
  H. Yamasaki, S. Subramanian, S. Sonoda, M. Koashi
- Organizer
  The 34th Neural Information Processing Systems (NeurIPS 2020)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ランダムニューラルネットの近似下限評価2020
- Author(s)
  園田翔, Ming Li
- Organizer
  2020年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 連続ニューラルネットのリッジレット変換による解析2020
- Author(s)
  園田翔
- Organizer
  2020年度第2回明治非線型数理セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Characterizing Deep Learning Solutions by Using Ridgelet Transform2020
- Author(s)
  S. Sonoda
- Organizer
  Differential Equations for Data Science 2021 (DEDS2021)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] オーバーパラメトライズされた有限ニューラルネットの最適解2020
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  第23回情報論的学習理論ワークショップ(IBIS2020)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 積分幾何学に基づくニューラルネットの新しい再構成公式2020
- Author(s)
  園田翔, 石川勲, 池田正弘
- Organizer
  第23回情報論的学習理論ワークショップ(IBIS2020)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層学習を微分方程式で記述する2020
- Author(s)
  園田翔
- Organizer
  第41回IBISML研究会・企画セッション「ダイナミクスと機械学習の接点」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] A New Reconstruction Formula of Neural Networks based on Radon Transform and Its Applications2020
- Author(s)
  S. Sonoda
- Organizer
  The 1st Machine Learning Zoom Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Functional Analysis Methods for Neural Network Theory2020
- Author(s)
  S. Sonoda
- Organizer
  The 20th AIP Open Seminar
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 積分幾何学に基づくニューラルネットのパラメータ分布再考2020
- Author(s)
  園田翔
- Organizer
  第23回情報論的学習理論ワークショップ(IBIS2020)・企画セッション「学習理論」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Continuous Model of Deep Neural Networks2019
- Author(s)
  Sho Sonoda
- Organizer
  Theory towards Brains, Machines and Minds, RIKEN CBS
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ニューラルネットの連続モデル2019
- Author(s)
  園田翔
- Organizer
  福岡大学
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Continuous Model of Deep Neural Networks2019
- Author(s)
  Sho Sonoda
- Organizer
  South China Normal University
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 最適制御にもとづく機械学習の試み2019
- Author(s)
  園田翔
- Organizer
  Workshop on Transport at Metropolitan
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 連続ニューラルネットの諸相2019
- Author(s)
  園田翔
- Organizer
  情報系 WINTER FESTA Episode 5
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 連続モデルによるニューラルネットの解析2019
- Author(s)
  園田翔
- Organizer
  金沢大学第2回微分方程式とデータサイエンス研究会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層ニューラルネットについて2019
- Author(s)
  園田翔
- Organizer
  第6回日本橋確率論セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Barron評価を達成するニューラルネットの構成法2019
- Author(s)
  園田翔
- Organizer
  日本応用数理学会2019年度年会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層学習入門2019
- Author(s)
  園田翔
- Organizer
  理研AIP数学系合同セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ニューラルネットの連続モデル2019
- Author(s)
  園田翔
- Organizer
  大阪大学数理・データ科学セミナー数理モデルセミナーシリーズ第24回
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Generalized kernel quadrature for synthesizing neural networks2019
- Author(s)
  Sho Sonoda
- Organizer
  Generalized kernel quadrature for synthesizing neural networks Data Science, Statistics & Visualization (DSSV2019), a satellite conference of the 62nd World Statistics Congress, promoted by IASC
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ReLU深層ニューラルネットワークの一般化されたBesov空間での関数近似能力について2019
- Author(s)
  谷口晃一, 池田正弘, 園田翔, 大野健太, 鈴木大慈
- Organizer
  第22回情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層学習の汎化誤差評価2019
- Author(s)
  園田翔
- Organizer
  理研AIP数学系合同セミナー
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Continuous Model of Deep Neural Networks2019
- Author(s)
  Sho Sonoda
- Organizer
  Peking University
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] ランダム神経場の学習 -NTKによる定式化と実験的検証-2019
- Author(s)
  渡部海斗, 坂本航太郎, 園田翔, 唐木田亮, 甘利俊一
- Organizer
  第22回情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Random neural field learning: Formalization and numerical experiments via NTK2019
- Author(s)
  Kaito Watanabe, Kota Sakamoto, Ryo Karakida, Sho Sonoda, Shunichi Amari
- Organizer
  ACML 2019 Workshop on Statistics & Machine Learning Researchers in Japan
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Numerical Integration Method for Training Neural Networks2019
- Author(s)
  Sho Sonoda
- Organizer
  The 12th International Conference on Monte Carlo Methods and Applications (MCM2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] カーネル求積による浅いモデルの学習法2019
- Author(s)
  園田翔
- Organizer
  2019年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Fast quantum algorithm for data approximation by optimized random features2019
- Author(s)
  Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda, Masato Koashi
- Organizer
  量子情報技術研究会（QIT）
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Stein's method for computing inverse operators2019
- Author(s)
  Sho Sonoda
- Organizer
  ICML 2019 Workshop on Stein's Method in Machine Learning and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 量子コンピュータによる高速ランダム特徴量サンプリング2019
- Author(s)
  山崎隼汰, Sathyawageeswar Subramanian, 園田翔
- Organizer
  第22回情報論的学習理論ワークショップ(IBIS2019)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Continuous Model of Deep Neural Networks2019
- Author(s)
  Sho Sonoda
- Organizer
  IIT-RIKEN Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Coordinate-free approaches to neural networks2019
- Author(s)
  Sho Sonoda
- Organizer
  PAIR-AIP Joint Research Workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層ニューラルネットの数理2018
- Author(s)
  園田翔
- Organizer
  津山高専人工知能研究講演会
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Inverse problem in denoising autoencoder2018
- Author(s)
  園田翔
- Organizer
  2019 RIMS 共同研究「偏微分方程式に対する逆問題の数学解析とその周辺」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Integral representation of shallow neural network that attains the global minimum2018
- Author(s)
  Sho Sonoda, Isai Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
- Organizer
  The First Japan-Israel Machine Learning Workshop (JIML)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層ニューラルネットの数理2018
- Author(s)
  園田翔
- Organizer
  山形大学DS推進室キックオフミーティング
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] カーネル求積による積分変換の計算2018
- Author(s)
  園田翔
- Organizer
  第21回情報論的学習理論ワークショップ(IBIS2018)
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層学習入門2018
- Author(s)
  園田翔
- Organizer
  第21回情報論的学習理論ワークショップ(IBIS2018) チュートリアル
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Mathematical Models of Neural Networks2018
- Author(s)
  Sho Sonoda
- Organizer
  Brawijaya University Seminar on Mathematical Analysis and Its Application
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 機械学習と解析学2018
- Author(s)
  園田翔
- Organizer
  第３回東京実解析セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層学習の基礎理論と発展2018
- Author(s)
  園田翔
- Organizer
  第37回日本医用画像工学会大会 (JAMIT2018) シンポジウム2「深層学習の基礎理論と発展」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Continuous Model of Deep Neural Networks2018
- Author(s)
  Sho Sonoda
- Organizer
  Invited Lecture at Max Planck Institute for Intelligent Systems
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 数値積分によるニューラルネットの学習2018
- Author(s)
  園田翔
- Organizer
  2018 RIMS 共同研究「次世代の科学技術を支える数値解析学の基盤整備と応用展開」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 大域最適解を与えるニューラルネットの積分表現2018
- Author(s)
  園田翔
- Organizer
  第3回統計・機械学習若手シンポジウム「統計・機械学習の交わりと広がり」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] An explicit expression for the global minimizer network2018
- Author(s)
  Sho Sonoda, Isai Ishikawa, Masahiro Ikeda, Kei Hagihara, Yoshihiro Sawano, Takuo Matsubara, Noboru Murata
- Organizer
  ICML 2018 Workshop on Theory of Deep Learning (TDL)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 生成・消滅過程に基づくEEGデータの電流ダイポール推定2018
- Author(s)
  中村圭太, 園田翔, 日野英逸, 川崎真弘, 赤穂昭太郎, 村田昇
- Organizer
  第33回 IBISML研究会
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層ニューラルネットの数理モデル2018
- Author(s)
  園田翔
- Organizer
  名古屋工業大学講演会「最適輸送と機械学習理論の周辺」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] 深層ニューラルネット理論の近況2018
- Author(s)
  園田翔
- Organizer
  日本数学会2018年度秋季総合分科会応用数学特別セッション「機械学習の数学的課題: 深層学習の理論を中心に」
- Invited
- Data Source
  KAKENHI-PROJECT-18K18113
[Presentation] Localizing Current Dipoles from EEG Data Using a Birth Death Process2018
- Author(s)
  Nakamura Keita, Sonoda Sho, Hino Hideitsu, Kawasaki Masahiro, Akaho Shotaro, Murata Noboru
- Organizer
  IEEE BIBM 2018 workshop on Machine Learning for EEG Signal Processing (MLESP 2018)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K18113

1. 石川勲 (80804236)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 池田正弘 (00749690)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 谷口晃一 (60856235)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Sonoda Sho 園田 翔

Research Projects

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Co-Researchers

Deepening the analysis of deep learning through functional space theory

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Transportation analysis of deep neural networksPrincipal Investigator

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[Journal Article] Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis2022

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[Journal Article] ニューラルネットの関数解析的方法と無限次元零空間2021

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NAID

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[Journal Article] Differentiable Multiple Shooting Layers2021

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[Journal Article] Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum2021

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[Journal Article] Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions2020

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[Journal Article] Transport Analysis of Infinitely Deep Neural Network2019

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[Journal Article] 生成・消滅過程に基づくEEGデータの電流ダイポール推定2018

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[Journal Article] EEG dipole source localization with information criteria for multiple particle filters2018

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DOI

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[Journal Article] Localizing Current Dipoles from EEG Data Using a Birth-Death Process2018

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DOI

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[Presentation] Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis2022

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Organizer

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[Presentation] 積分表現でニューラルネットを理解する2021

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[Presentation] Ridge Regression with Over-Parametrized Two-Layer Networks Converge to Ridgelet Spectrum2021

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[Presentation] ニューラルネットの零空間の精密構造と統計的役割2021

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[Presentation] Regression and Classification with Optimized Random Features: Applications of Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rankness Assumptions2021

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[Presentation] Differentiable Multiple Shooting Layers2021

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[Presentation] 重み付きSobolev空間におけるニューラルネット積分表現作用素の有界性2021

Sonoda Sho 園田翔