sannai akiyoshi 三内顕義

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Sannai Akiyoshi 三内顕義

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Researcher Number	10610595
Other IDs
Affiliation (Current)	2025: 京都大学, 理学研究科, 特定准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 京都大学, 理学研究科, 特定准教授 2020 – 2022: 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 2017 – 2018: 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 2016: 京都大学, 数理解析研究所, 特定助教
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (II) / Basic Section 12040:Applied mathematics and statistics-related / Algebra
Keywords	Principal Investigator 深層学習 / 構造的因果推論 / メタ学習 / 群論 / 対称性 / グラフ理論 / 因果グラフ / 表現論 / 構造的因果モデル / 深層ニューラルネット … More / 不変式論 / 幾何学的深層学習 / Fano type / globally F-regular / 普遍近似定理 / ベジェ曲線 / 多目的最適化 / 多項式 / 対称群 / シンボリックリース環 / フロベニウス写像 / アーベル多様体 Less

Research Projects
(3 results)
Research Products
(19 results)

Geometric deep learning derived by causality.Principal Investigator
- Principal Investigator
  
  三内顕義
- Project Period (FY)
  2023 – 2024
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (II)
- Research Institution
  Kyoto University
Study on deep neural nets with group theoryPrincipal Investigator
- Principal Investigator
  
  Sannai Akiyoshi
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 12040:Applied mathematics and statistics-related
- Research Institution
  Kyoto University
  Institute of Physical and Chemical Research
Study on projective varieties with Frobenius mapsPrincipal Investigator
- Principal Investigator
  
  Sannai Akiyoshi
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Algebra
- Research Institution
  Institute of Physical and Chemical Research
  Kyoto University

All 2024 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

[Journal Article] Invariant and Equivariant Reynolds Networks2024
- Author(s)
  Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai
- Journal Title
  
  journal of machine learning research
  
  Volume: 25 Pages: 1-36
- Data Source
  KAKENHI-PUBLICLY-23H04484
[Journal Article] Invariant and Equivariant Reynolds Networks2024
- Author(s)
  Akiyoshi Sannai, Makoto Kawano, Wataru Kumagai
- Journal Title
  
  journal of machine learning research
  
  Volume: 25 Pages: 1-36
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K03743
[Journal Article] On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity2021
- Author(s)
  Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier
- Journal Title
  
  The 24th International Conference on Artificial Intelligence and Statistics
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K03743
[Journal Article] Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces2021
- Author(s)
  Akiyoshi Sannai, Masaaki Imaizumi, Makoto Kawano
- Journal Title
  
  37th Conference on Uncertainty in Artificial Intelligence
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K03743
[Journal Article] Group Equivariant Conditional Neural Processes2021
- Author(s)
  Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
- Journal Title
  
  International Conference on Learning Representations
  
  Volume: -
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-20K03743
[Journal Article] A Characterization of Ordinary Abelian Varieties by the Frobenius Push-Forward of the Structure Sheaf II2018
- Author(s)
  Sho Ejiri, Akiyoshi Sannai
- Journal Title
  
  International Mathematics Research Notices
  
  Volume: 288
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K17581
[Journal Article] A characterization of ordinary abelian varieties by the Frobenius push-forward of the structure sheaf2016
- Author(s)
  Sannai Akiyoshi, Tanaka Hiromu
- Journal Title
  
  Mathematische Annalen
  
  Volume: 366 Issue: 3-4 Pages: 1067-1087
- DOI
  10.1007/s00208-015-1352-3
- Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-25220701, KAKENHI-PROJECT-16K17581
[Presentation] Group Equivariant Conditional Neural Processes2021
- Author(s)
  Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
- Organizer
  International Conference on Learning Representations
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03743
[Presentation] On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity2021
- Author(s)
  Yuuki Takai, Akiyoshi Sannai, Matthieu Cordonnier
- Organizer
  The 24th International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03743
[Presentation] 対称性を持つ深層学習2021
- Author(s)
  三内顕義
- Organizer
  東京大学大学院数理科学研究科情報数学セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-20K03743
[Presentation] Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces2021
- Author(s)
  Akiyoshi Sannai, Masaaki Imaizumi, Makoto Kawano
- Organizer
  37th Conference on Uncertainty in Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K03743
[Presentation] 群畳み込みニューラルネットワークによる同変的写像の普遍近似定理2020
- Author(s)
  熊谷亘、三内顕義
- Organizer
  統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-20K03743
[Presentation] Bezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-objective Optimization2019
- Author(s)
  Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Akinori Tanaka, Kenichi Bannai, Masashi Sugiyama
- Organizer
  The Thirty-Third AAAI Conference on Artificial Intelligence
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] Asymptotic Risk of Bezier Simplex Fitting2019
- Author(s)
  Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi, Naoki Hamada
- Organizer
  International Conference on Compute and Data Analysis
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] Frobenius maps and algebraic varieties2017
- Author(s)
  三内顕義
- Organizer
  代数幾何学シンポジウム
- Invited
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] 正標数のアーベル多様体の特徴付けについて2017
- Author(s)
  三内顕義
- Organizer
  農工大数学セミナー2017
- Place of Presentation
  東京農工大学
- Year and Date
  2017-03-21
- Invited
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] Abelian varieties in positive characteristic2017
- Author(s)
  三内顕義
- Organizer
  The 2nd Higher dimensional algebraic geometry Echigo Yuzawa sympos ium
- Place of Presentation
  越後湯沢公民館
- Year and Date
  2017-02-14
- Invited
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] decomposability of Frobenius push-forward of structure sheaves2016
- Author(s)
  三内顕義
- Organizer
  都の西北代数幾何学シンポジウム
- Place of Presentation
  早稲田大学
- Year and Date
  2016-11-16
- Invited
- Data Source
  KAKENHI-PROJECT-16K17581
[Presentation] Frobenius methods in algebraic geometry2016
- Author(s)
  三内顕義
- Organizer
  京都大学代数幾何学セミナー
- Place of Presentation
  京都大学
- Year and Date
  2016-07-08
- Data Source
  KAKENHI-PROJECT-16K17581

sannai akiyoshi 三内 顕義

Sannai Akiyoshi 三内 顕義

Research Projects

Research Products

Geometric deep learning derived by causality.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Study on deep neural nets with group theoryPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Study on projective varieties with Frobenius mapsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Invariant and Equivariant Reynolds Networks2024

Author(s)

Journal Title

Data Source

[Journal Article] Invariant and Equivariant Reynolds Networks2024

Author(s)

Journal Title

Data Source

[Journal Article] On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity2021

Author(s)

Journal Title

Data Source

[Journal Article] Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces2021

Author(s)

Journal Title

Data Source

[Journal Article] Group Equivariant Conditional Neural Processes2021

Author(s)

Journal Title

Data Source

[Journal Article] A Characterization of Ordinary Abelian Varieties by the Frobenius Push-Forward of the Structure Sheaf II2018

Author(s)

Journal Title

Data Source

[Journal Article] A characterization of ordinary abelian varieties by the Frobenius push-forward of the structure sheaf2016

Author(s)

Journal Title

DOI

Data Source

[Presentation] Group Equivariant Conditional Neural Processes2021

Author(s)

Organizer

Data Source

[Presentation] On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity2021

Author(s)

Organizer

Data Source

[Presentation] 対称性を持つ深層学習2021

Author(s)

Organizer

Data Source

[Presentation] Improved Generalization Bounds of Group Invariant / Equivariant Deep Networks via Quotient Feature Spaces2021

Author(s)

Organizer

Data Source

[Presentation] 群畳み込みニューラルネットワークによる同変的写像の普遍近似定理2020

Author(s)

Organizer

Data Source

[Presentation] Bezier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-objective Optimization2019

Author(s)

Organizer

Data Source

[Presentation] Asymptotic Risk of Bezier Simplex Fitting2019

Author(s)

Organizer

Data Source

[Presentation] Frobenius maps and algebraic varieties2017

sannai akiyoshi 三内顕義

Sannai Akiyoshi 三内顕義