Yoshikawa Yuya 吉川友也

Researcher Number	30772040
Other IDs
Affiliation (Current)	2026: 千葉工業大学, 人工知能・ソフトウェア技術研究センター, 上席研究員
Affiliation (based on the past Project Information) *help	2026: 千葉工業大学, 人工知能・ソフトウェア技術研究センター, 上席研究員 2023 – 2024: 千葉工業大学, 人工知能・ソフトウェア技術研究センター, 上席研究員 2018 – 2022: 千葉工業大学, 人工知能・ソフトウェア技術研究センター, 主任研究員
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator 深層学習 / 機械学習 / 解釈性 / 局所説明 / XAI / 説明可能AI / 人工知能 / カーネル法 / 集合データ / ニューラルネットワーク / ガウス過程 / 透明性 / 解釈可能性

Research Projects
(3 results)
Research Products
(11 results)

深層学習モデルにおける汎用説明能力の獲得及び転移法に関する研究Principal Investigator
- Principal Investigator
  
  吉川友也
- Project Period (FY)
  2026 – 2028
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Chiba Institute of Technology
高精度な予測と解釈のしやすさを両立する自己説明型機械学習の研究Principal Investigator
- Principal Investigator
  
  吉川友也
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Chiba Institute of Technology
Constructing Machine Learning Framework for Set Data Based on Kernel Mean EmbeddingsPrincipal Investigator
- Principal Investigator
  
  Yoshikawa Yuya
- Project Period (FY)
  2018 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  Chiba Institute of Technology

All 2024 2023 2022 2021 2020

All Journal Article Presentation Patent

[Journal Article] Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers2024
- Author(s)
  Yuya Yoshikawa, Tomoharu Iwata
- Journal Title
  
  Proceedings of The 27th International Conference on Artificial Intelligence and Statistics
  
  Volume: 238 Pages: 370-378
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K17953
[Journal Article] Neural generators of sparse local linear models for achieving both accuracy and interpretability2022
- Author(s)
  Yoshikawa Yuya、Iwata Tomoharu
- Journal Title
  
  Information Fusion
  
  Volume: 81 Pages: 116-128
- DOI
  10.1016/j.inffus.2021.11.009
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18112, KAKENHI-PROJECT-22K17953
[Journal Article] Gaussian Process Regression With Interpretable Sample-Wise Feature Weights2021
- Author(s)
  Yoshikawa Yuya、Iwata Tomoharu
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume: － Issue: 9 Pages: 1-15
- DOI
  10.1109/tnnls.2021.3131234
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K18112
[Patent] 学習装置，方法およびプログラム2020
- Inventor(s)
  吉川友也、岩田具治
- Industrial Property Rights Holder
  吉川友也、岩田具治
- Industrial Property Rights Type
  特許
- Industrial Property Number
  2020-017869
- Filing Date
  2020
- Data Source
  KAKENHI-PROJECT-18K18112
[Presentation] Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers2024
- Author(s)
  Yuya Yoshikawa, Tomoharu Iwata
- Organizer
  The 27th International Conference on Artificial Intelligence and Statistics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] 説明可能AIのこれまでとこれから2023
- Author(s)
  吉川友也
- Organizer
  ステアラボAIセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] 解釈可能な機械学習 ~説明は人のためか？~2023
- Author(s)
  吉川友也
- Organizer
  2023年度人工知能学会全国大会
- Invited
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] 説明可能AI：代表的手法と最近の動向2023
- Author(s)
  吉川友也
- Organizer
  第21回ディペンダブルシステムワークショップ
- Invited
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] 説明器に忠実な説明をさせるための最適化法2023
- Author(s)
  吉川友也, 岩田具治
- Organizer
  第26回情報論的学習理論ワークショップ
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] 決定木と深層ニューラルネットを用いた解釈可能な予測モデル2022
- Author(s)
  奥田遼、吉川友也
- Organizer
  第47回情報論的学習理論と機械学習研究会
- Data Source
  KAKENHI-PROJECT-22K17953
[Presentation] スパース局所線形モデルのニューラル生成器2020
- Author(s)
  吉川友也, 岩田具治
- Organizer
  第34回人工知能学会全国大会
- Data Source
  KAKENHI-PROJECT-18K18112

Yoshikawa Yuya 吉川 友也

Research Projects

Research Products

深層学習モデルにおける汎用説明能力の獲得及び転移法に関する研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

高精度な予測と解釈のしやすさを両立する自己説明型機械学習の研究Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Constructing Machine Learning Framework for Set Data Based on Kernel Mean EmbeddingsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers2024

Author(s)

Journal Title

Data Source

[Journal Article] Neural generators of sparse local linear models for achieving both accuracy and interpretability2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Gaussian Process Regression With Interpretable Sample-Wise Feature Weights2021

Author(s)

Journal Title

DOI

Data Source

[Patent] 学習装置，方法およびプログラム2020

Inventor(s)

Industrial Property Rights Holder

Industrial Property Rights Type

Industrial Property Number

Filing Date

Data Source

[Presentation] Explanation-Based Training with Differentiable Insertion/Deletion Metric-Aware Regularizers2024

Author(s)

Organizer

Data Source

[Presentation] 説明可能AIのこれまでとこれから2023

Author(s)

Organizer

Data Source

[Presentation] 解釈可能な機械学習 ~説明は人のためか？~2023

Author(s)

Organizer

Data Source

[Presentation] 説明可能AI：代表的手法と最近の動向2023

Author(s)

Organizer

Data Source

[Presentation] 説明器に忠実な説明をさせるための最適化法2023

Author(s)

Organizer

Data Source

[Presentation] 決定木と深層ニューラルネットを用いた解釈可能な予測モデル2022

Author(s)

Organizer

Data Source

[Presentation] スパース局所線形モデルのニューラル生成器2020

Author(s)

Organizer

Data Source

Yoshikawa Yuya 吉川友也