suzuki masahiro 鈴木雅大

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Suzuki Masahiro 鈴木雅大

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Researcher Number	30823885
Other IDs
Affiliation (Current)	2025: 東京大学, 大学院工学系研究科(工学部), 特任助教
Affiliation (based on the past Project Information) *help	2023 – 2024: 東京大学, 大学院工学系研究科(工学部), 特任助教 2018 – 2019: 東京大学, 大学院工学系研究科(工学部), 特任研究員
Review Section/Research Field	Principal Investigator Transformative Research Areas, Section (IV) / 1001:Information science, computer engineering, and related fields Except Principal Investigator Basic Section 62010:Life, health and medical informatics-related
Keywords	Principal Investigator 深層生成モデル / マルチモーダル学習 / 自由エネルギー原理 / 共有表現学習 / 深層学習 Except Principal Investigator 個別化医療 / AI / 人工知能 / 深層学習 / マルチモーダル

A Study on Deep Generative Models based on The Free Energy PrinciplePrincipal Investigator
- 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
個別化医療の実現を目指したマルチモーダル汎用モデル開発
- Principal Investigator
  
  小寺聡
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Tokyo
A study on shared representation learning considering the uncertainty of each modalityPrincipal Investigator
- Principal Investigator
  
  Suzuki Masahiro
- Project Period (FY)
  2018 – 2019
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  1001:Information science, computer engineering, and related fields
- Research Institution
  The University of Tokyo

All 2024 2020 2019 2018

All Journal Article Presentation

[Journal Article] Development and analysis of medical instruction-tuning for Japanese large language models2024
- Author(s)
  Sukeda Issey、Suzuki Masahiro、Sakaji Hiroki、Kodera Satoshi
- Journal Title
  
  Artificial Intelligence in Health
  
  Volume: 1 Issue: 2 Pages: 107-107
- DOI
  10.36922/aih.2695
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K28181
[Journal Article] Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models2020
- Author(s)
  Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki, Ryo Kuniyasu, Kaede Hayashi, Akira Taniguchi, Takato Horii, Takayuki Nagai
- Journal Title
  
  New Generation Computing
  
  Volume: 38 Issue: 1 Pages: 23-48
- DOI
  10.1007/s00354-019-00084-w
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PLANNED-16H06569, KAKENHI-PROJECT-18H03308, KAKENHI-PROJECT-19K21527
[Journal Article] 服の領域を考慮した写真上の人物の自動着せ替えに関する研究2019
- Author(s)
  久保静真，岩澤有祐，鈴木雅大，松尾豊
- Journal Title
  
  情報処理学会論文誌
  
  Volume: 60 Pages: 870-879
- NAID
  170000150210
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K21527
[Journal Article] 深層生成モデルを用いた半教師ありマルチモーダル学習2018
- Author(s)
  鈴木雅大，松尾豊
- Journal Title
  
  情報処理学会論文誌
  
  Volume: 59 Pages: 2261-2278
- NAID
  170000149944
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] 深層生成モデルと世界モデル2019
- Author(s)
  鈴木雅大
- Organizer
  第4回統計・機械学習若手シンポジウム
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] Dual Space Learning with Variational Autoencoders2019
- Author(s)
  Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo
- Organizer
  ICLR workshop
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] Pixyz: a framework for developing complex deep generative models2019
- Author(s)
  Masahiro Suzuki
- Organizer
  Workshop on Deep Probabilistic Generative Models for Cognitive Architecture in Robotics (IROS2019)
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] Pixyz：複雑な深層生成モデル開発のためのフレームワーク2019
- Author(s)
  鈴木雅大, 金子貴輝, 谷口尚平, 松嶋達也, 松尾豊
- Organizer
  2019年度人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] Dual Space Learning with Variational Autoencoders2019
- Author(s)
  Hirono Okamoto, Masahiro Suzuki, Itto Higuchi, Shohei Ohsawa, Yutaka Matsuo
- Organizer
  Workshop on Deep Generative Models for Highly Structured Data, International Conference on Learning Representation
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network2019
- Author(s)
  Shizuma Kubo, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo
- Organizer
  Workshop on Computer Vision for Fashion, Art and Design, The IEEE International Conference on Computer Vision (ICCV 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] 身体の3次元構造を考慮したニューラル仮想試着2019
- Author(s)
  久保静真, 岩澤有祐, 鈴木雅大, 松尾豊
- Organizer
  2019年度人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K21527
[Presentation] 半教師ありマルチモーダル深層生成モデルにおける共有表現の有効性と単一モダリティ入力への拡張2018
- Author(s)
  鈴木雅大，松尾豊
- Organizer
  2018年度人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-19K21527

1. 熊谷亘 (20747167)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
2. 小寺聡 (80794776)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. 関倫久 (30528873)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 谷口忠大

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

suzuki masahiro 鈴木 雅大

Suzuki Masahiro 鈴木 雅大

Research Projects

Research Products

Co-Researchers

A Study on Deep Generative Models based on The Free Energy PrinciplePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

個別化医療の実現を目指したマルチモーダル汎用モデル開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

A study on shared representation learning considering the uncertainty of each modalityPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Development and analysis of medical instruction-tuning for Japanese large language models2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models2020

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 服の領域を考慮した写真上の人物の自動着せ替えに関する研究2019

Author(s)

Journal Title

NAID

Data Source

[Journal Article] 深層生成モデルを用いた半教師ありマルチモーダル学習2018

Author(s)

Journal Title

NAID

Data Source

[Presentation] 深層生成モデルと世界モデル2019

Author(s)

Organizer

Data Source

[Presentation] Dual Space Learning with Variational Autoencoders2019

Author(s)

Organizer

Data Source

[Presentation] Pixyz: a framework for developing complex deep generative models2019

Author(s)

Organizer

Data Source

[Presentation] Pixyz：複雑な深層生成モデル開発のためのフレームワーク2019

Author(s)

Organizer

Data Source

[Presentation] Dual Space Learning with Variational Autoencoders2019

Author(s)

Organizer

Data Source

[Presentation] UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network2019

Author(s)

Organizer

Data Source

[Presentation] 身体の3次元構造を考慮したニューラル仮想試着2019

Author(s)

Organizer

Data Source

[Presentation] 半教師ありマルチモーダル深層生成モデルにおける共有表現の有効性と単一モダリティ入力への拡張2018

Author(s)

Organizer

Data Source

suzuki masahiro 鈴木雅大

Suzuki Masahiro 鈴木雅大