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- ARITAKE Toshimitsu
- Hitotsubashi Institute for Advanced Study
- ARITAKE Toshimitsu
- Curriculum Vitae
- Research Work
Books and Other Publications
| 1. | 数理科学 2024年 04 月号 データサイエンスと数理モデル
日野 英逸, 有竹 俊光 (Contributor) サイエンス社 2024.4 |
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Papers
| 1. | Domain Adaptation With Additional Features via Label-Aware and Graph-Based Fused Gromov-Wasserstein Optimal Transport
Toshimitsu Aritake, Hideitsu Hino Neural Computation 2026.6 
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| 2. | Unrolled Neural Adaptive Alternating Gradient Descent for NMF (Peer-reviewed) Toshimitsu Aritake Artificial Neural Networks and Machine Learning – ICANN 2025 2025.9
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| 3. | A machine learning approach to designing and understanding tough, degradable polyamides (Peer-reviewed) Yoshifumi Amamoto, Chie Koganemaru, Ken Kojio, Atsushi Takahara, Sayoko Yamamoto, Kazuki Okazawa, Yuta Tsuji, Toshimitsu Aritake, Kei Terayama NPJ COMPUTATIONAL MATERIALS Vol.11,No.1 2025.7
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| 4. | Unrolling Nonnegative Matrix Factorization via Learning Single Optimization Step in Alternating Optimization.
Toshimitsu Aritake ISMSI pp.169-173 2025
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| 5. | Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness
Takeshi Kanda, Toshimitsu Aritake, Kaoru Ohyama, Kaspar E Vogt, Yuichi Makino, Thomas McHugh, Hideitsu Hino, Shotaro Akaho, Noboru Murata 2023.7
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| 6. | Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport
Aritake, Toshimitsu, Hino, Hideitsu 2022.9
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| 7. | Domain Adaptation with Optimal Transport for Extended Variable Space (Peer-reviewed) Toshimitsu Aritake, Hideitsu Hino 2022 International Joint Conference on Neural Networks (IJCNN) 2022.7
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| 8. | Detecting cell assemblies by NMF-based clustering from calcium imaging data
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata Neural Networks Vol.149,pp.29-39 2022.5
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| 9. | Single-Molecule Localization by Voxel-Wise Regression Using Convolutional Neural Network
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata Results in Optics Vol.1,pp.100019 2020.11
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| 10. | Fast and robust multiplane single molecule localization microscopy using deep neural network
Toshimitsu Aritake Neurocomputing Vol.451,pp.279-289 2020.1
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| 11. | Learning Scale and Shift-Invariant Dictionary for Sparse Representation
Toshimitsu Aritake Machine Learning, Optimization, and Data Science Vol.11943 LNCS 2019
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| 12. | Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization
Toshimitsu Aritake Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation Vol.11727 LNCS 2019
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| 13. | Data Tracking in Search of Workflows
Naja L. Holten Moller, Pernille Bjorn, Jonas Christoffer Villumsen, Tine C. Hansen Hancock, Toshimitsu Aritake, Shigeyuki Tani CSCW'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING pp.2153-2165 2017
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| 14. | Learning Ancestral Atom via Sparse Coding
T. Aritake, H. Hino, N. Murata IEEE Journal of Selected Topics in Signal Processing Vol.7,No.4 2013
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Misc.
| 1. | データ流通により加速する社会イノベーション : 欧州での取り組み—特集 官民データ活用とデータマネジメント
谷 繁幸, ヨナス・クリストファー ウィルムセン, 有竹 俊光, ブルーノ・ハンニバル テイラー 行政&情報システム Vol.53,No.3,pp.14-19 2017.6
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| 2. | グローバルな顧客協創による社会イノベーションの創生 データ流通により加速する社会変革 欧州での取り組み
谷繁幸, VILLUMSEN Jonas Christoffer, 有竹俊光, TAYLOR Bruno Hannibal 日立評論 Vol.99,No.3 2017 |
| 3. | スパースコーディングにおける基底生成のための単一母基底の学習—Ancestral Atom Learning for Dictionary Generation in Sparse Coding—情報論的学習理論と機械学習・第15回情報論的学習理論ワークショップ
有竹 俊光, 日野 英逸, 村田 昇 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 Vol.112,No.279,pp.343-350 2012.11
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Presentations
| No. | Name of subject/Conference Name | Year | Site |
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| 1. | 科学者の解析過程のベイズモデリングによるロバストなスペクトル分解(2026年度 人工知能学会全国大会（第40回）) |
Holding date :
2026.6.8
- 2026.6.12 Presentation date : 2026.6.11 |
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| 2. | 最適化1ステップの学習によるUnrolling(第28回情報論的学習理論ワークショップ（IBIS2025）) |
Holding date :
2025.11.12
- 2025.11.15 Presentation date : 2025.11.13 |
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| 3. | 科学者によるスペクトル分解過程のベイズモデリング(第28回情報論的学習理論ワークショップ（IBIS2025）) |
Holding date :
2025.11.12
- 2025.11.15 Presentation date : 2025.11.13 |
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| 4. | 複雑な幾何構造の変化を伴う化学反応ダイナミクスのベイズモデリング(第28回情報論的学習理論ワークショップ（IBIS2025）) |
Holding date :
2025.11.12
- 2025.11.15 Presentation date : 2025.11.13 |
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| 5. | Unrolled Neural Adaptive Alternating Gradient Descent for NMF(34th International Conference on Artificial Neural Networks (ICANN2025)) |
Holding date :
2025.9.9
- 2025.9.12 Presentation date : 2025.9.11 |
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| 6. | 最適化1ステップの学習による非負値行列因子分解のUnrolling(情報論的学習理論と機械学習研究会（IBISML）) |
Holding date :
2024.12.20
- 2024.12.21 Presentation date : 2024.12.21 |
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| 7. | Domain Adaptation for Extra Features Using Fused Gromov-Wasserstein Based on Graph Distance(2024年度 人工知能学会全国大会) |
Holding date :
2024.5.28
- 2024.5.31 Presentation date : 2024.5.29 |
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| 8. | グラフ上の距離を用いたFused Gromov-Wasserstein最適輸送による変数の拡張に対するドメイン適応(第26回情報論的学習理論ワークショップ（IBIS2023）) |
Holding date :
2023.10.29
- 2023.11.1 Presentation date : 2023.10.31 |
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| 9. | Fractography using Transformers(The 26th Information-Based Induction Sciences Workshop) |
Holding date :
2023.10.29
- 2023.11.1 Presentation date : 2023.10.30 |
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| 10. | Domain Adaptation with Optimal Transport for Extended Variable Space(IEEE World Congress on Computational Intelligence (WCCI2022)) |
Holding date :
2022.7.18
- 2022.7.23 Presentation date : 2022.7.20 |
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| 11. | 深層ニューラルネットワークを用いた多焦点顕微鏡のリアルタイム3次元局在化(情報論的学習理論と機械学習研究会（IBISML）) |
Holding date :
2020.1.9
- 2020.1.10 Presentation date : 2020.1.10 |
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| 12. | Learning Scale and Shift-Invariant Dictionary for Sparse Representation(Machine Learning, Optimization, and Data Science. LOD 2019) |
Holding date :
2019.9.10
- 2019.9.13 Presentation date : 2019.9.12 |
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| 13. | スパースコーディングにおける基底生成のための単一母基底の学習(第15回情報論的学習理論ワークショップ（IBIS2012）) |
Holding date :
2012.11.7
- 2012.11.9 Presentation date : 2012.11.7 |
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| 14. | Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization(28th International Conference on Artificial Neural Networks) |
Holding date :
2019.9.17
- 2019.9.19 Presentation date : |
Awards
| No. | Award name | Year |
|---|---|---|
| 1. | Japanese Neural Network Society Paper Award | 2023.9 |
| 2. | IEICE TC-IBISML Research Award | 2022.11 |
Research Projects
| No. | Research subject | Research item(Awarding organization, System name) | Year |
|---|---|---|---|
| 1. | 次元不変要約統計に基づく適応的学習型最適化の設計と解析
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基盤研究(B)
( Awarding organization: 日本学術振興会 System name: 科学研究費助成事業 ) |
2026.4 - 2030.3 |
| 2. | Regulatory mechanisms of information transmission across multiple online brain states
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Grant-in-Aid for Scientific Research (C)
( Awarding organization: Japan Society for the Promotion of Science System name: Grants-in-Aid for Scientific Research ) |
2026.4 - 2029.3 |
| 3. | 交互繰り返し最適化の学習による高速，高精度な計算法の開発
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若手研究
( Awarding organization: 日本学術振興会 System name: 科学研究費助成事業 若手研究 ) |
2023.4 - 2026.3 |
Industrial Property Rights
| No. | Title | Patent/Registration no. |
|---|---|---|
| 1. | データ処理システム、及び、データ処理⽅法 | 特許6454222 |
