KUMAGAI WATARU 熊谷亘

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Kumagai Wataru 熊谷亘

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Researcher Number	20747167
Other IDs
Affiliation (Current)	2025: オムロンサイニックエックス株式会社, リサーチアドミニストレイティブディビジョン, リサーチエンジニア
Affiliation (based on the past Project Information) *help	2024: オムロンサイニックエックス株式会社, リサーチアドミニストレイティブディビジョン, リサーチエンジニア 2020 – 2023: 東京大学, 大学院工学系研究科(工学部), 特任助教 2017 – 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, 研究員
Review Section/Research Field	Principal Investigator Statistical science Except Principal Investigator Transformative Research Areas, Section (IV) / Basic Section 60030:Statistical science-related
Keywords	Principal Investigator 特徴抽出 / 汎化誤差 / 機械学習 / 畳み込み / ニューラル過程 / 群対称性 / 普遍近似定理 / パラメータ転移 / メタ学習 / 転移学習 … More Except Principal Investigator … More マルチモーダル学習 / 自由エネルギー原理 / 深層生成モデル / 情報転送 / 転移学習 / 多ドメインデータ / 最適輸送 / 最適化 / 機械学修 / 数理統計 / 数理統計学 / 機械学習 / データサイエンス / AI Less

A Study on Deep Generative Models based on The Free Energy Principle
- Principal Investigator
  
  鈴木雅大
- Project Period (FY)
  2023 – 2027
- Research Category
  
  Grant-in-Aid for Transformative Research Areas (A)
- Review Section
  
  Transformative Research Areas, Section (IV)
- Research Institution
  The University of Tokyo
Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data
- Principal Investigator
  
  Kanamori Takafumi
- Project Period (FY)
  2019 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 60030:Statistical science-related
- Research Institution
  Tokyo Institute of Technology
Theoretical Analysis of Transfer Learning and Its ApplicationsPrincipal Investigator
- Principal Investigator
  
  Kumagai Wataru
- Project Period (FY)
  2017 – 2022
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  The University of Tokyo
  Institute of Physical and Chemical Research

All 2023 2021 2019 2018 2017

All Journal Article Presentation

[Journal Article] Uncertainty propagation for dropout-based Bayesian neural networks2021
- Author(s)
  Mae Yuki、Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Neural Networks
  
  Volume: 144 Pages: 394-406
- DOI
  10.1016/j.neunet.2021.09.005
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H04071
[Journal Article] Spectral Embedded Deep Clustering2019
- Author(s)
  Wada Yuichiro、Miyamoto Shugo、Nakagama Takumi、Andeol Leo、Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Entropy
  
  Volume: 21 Issue: 8 Pages: 795-795
- DOI
  10.3390/e21080795
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Variable Selection for Nonparametric Learning with Power Series Kernels2019
- Author(s)
  Matsui Kota、Kumagai Wataru、Kanamori Kenta、Nishikimi Mitsuaki、Kanamori Takafumi
- Journal Title
  
  Neural Computation
  
  Volume: 31 Issue: 8 Pages: 1718-1750
- DOI
  10.1162/neco_a_01212
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Risk bound of transfer learning using parametric feature mapping and its application to sparse coding2019
- Author(s)
  Kumagai Wataru、Kanamori Takafumi
- Journal Title
  
  Machine Learning
  
  Volume: 108 Issue: 11 Pages: 1975-2008
- DOI
  10.1007/s10994-019-05805-2
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-15H01678, KAKENHI-PROJECT-19H04071, KAKENHI-PROJECT-16K00044
[Journal Article] Robust Label Prediction via Label Propagation and Geodesic <i>k</i>-Nearest Neighbor in Online Semi-Supervised Learning2019
- Author(s)
  WADA Yuichiro、SU Siqiang、KUMAGAI Wataru、KANAMORI Takafumi
- Journal Title
  
  IEICE Trans. Inf. & Syst.
  
  Volume: E102.D Issue: 8 Pages: 1537-1545
- DOI
  10.1587/transinf.2018EDP7424
- NAID
  130007686445
- ISSN
  0916-8532, 1745-1361
- Year and Date
  2019-08-01
- Language
  English
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K12653, KAKENHI-PROJECT-19H04071
[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023
- Author(s)
  國分裕太; 松井孝太; 沓掛健太郎; 熊谷亘; 金森敬文
- Organizer
  情報論的学習理論ワークショップIBIS
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] Local Acquisition Function for Active Level Set Estimation2023
- Author(s)
  Y. Kokubun, K. Matsui, K. Kutsukake, W. Kumagai, T. Kanamori
- Organizer
  NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in the Real World
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 転移学習から継続学習へ2019
- Author(s)
  熊谷亘
- Organizer
  科学研究費基盤研究(A)「機械学習システムの社会実装に向けた次世代最適化技法の研究」による2019年度ワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] 転移学習から継続学習へ2019
- Author(s)
  熊谷亘
- Organizer
  情報系 WINTER FESTA Episode 5
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction.2019
- Author(s)
  K. Matsui, W. Kumagai, K. Kanamori, M. Nisikimi, S. Matsui, T. Kanamori
- Organizer
  2019 WNAR/IMS/JR Annual Meeting
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H04071
[Presentation] 転移学習の数理2018
- Author(s)
  熊谷亘
- Organizer
  第二回理研AIP数理系合同合宿
- Invited
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] Wasserstein距離を用いた転移学習の理論解析2018
- Author(s)
  熊谷亘
- Organizer
  第21回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] パラメータ転移学習における汎化誤差の評価2017
- Author(s)
  熊谷亘
- Organizer
  科研費シンポジウム「統計学, 機械学習の数理とその応用」
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] パラメータ転移学習におけるリスク上界2017
- Author(s)
  熊谷亘
- Organizer
  統計学・機械学習若手シンポジウム「大規模複雑データに対する統計・機械学習のアプローチ」
- Data Source
  KAKENHI-PROJECT-17K12653
[Presentation] パラメータ転移学習におけるリスク上界2017
- Author(s)
  熊谷亘
- Organizer
  2017年度統計関連学会連合大会
- Data Source
  KAKENHI-PROJECT-17K12653

1. Kanamori Takafumi (60334546)

# of Collaborated Projects: 1 results

# of Collaborated Products: 4 results
2. 竹之内高志 (50403340)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
3. 松井孝太 (50737111)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
4. 川島孝行 (60846210)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 武田朗子 (80361799)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 鈴木雅大 (30823885)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

KUMAGAI WATARU 熊谷 亘

Kumagai Wataru 熊谷 亘

Research Projects

Research Products

Co-Researchers

A Study on Deep Generative Models based on The Free Energy Principle

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Statistical Learning with feature extraction and information integration of High-dimensional, large-scale, multi-domain data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Theoretical Analysis of Transfer Learning and Its ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Uncertainty propagation for dropout-based Bayesian neural networks2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Spectral Embedded Deep Clustering2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Variable Selection for Nonparametric Learning with Power Series Kernels2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Risk bound of transfer learning using parametric feature mapping and its application to sparse coding2019

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Robust Label Prediction via Label Propagation and Geodesic <i>k</i>-Nearest Neighbor in Online Semi-Supervised Learning2019

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Presentation] 局所探索型獲得関数に基づく能動的レベル集合推定法の提案2023

Author(s)

Organizer

Data Source

[Presentation] Local Acquisition Function for Active Level Set Estimation2023

Author(s)

Organizer

Data Source

[Presentation] 転移学習から継続学習へ2019

Author(s)

Organizer

Data Source

[Presentation] 転移学習から継続学習へ2019

Author(s)

Organizer

Data Source

[Presentation] Foundations of transfer learning and its application to multi-center prognostic prediction.2019

Author(s)

Organizer

Data Source

[Presentation] 転移学習の数理2018

Author(s)

Organizer

Data Source

[Presentation] Wasserstein距離を用いた転移学習の理論解析2018

Author(s)

Organizer

Data Source

KUMAGAI WATARU 熊谷亘

Kumagai Wataru 熊谷亘