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J-GLOBAL ID:202201006058053995   Update date: Oct. 31, 2024

Aritake Toshimitsu

アリタケ トシミツ | Aritake Toshimitsu
Clips
Affiliation and department:
Job title: Assistant Professor
Homepage URL  (1): https://t-aritake.github.io
Research theme for competitive and other funds  (1):
  • 2023 - 2026 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
Papers (9):
  • Takeshi Kanda, Toshimitsu Aritake, Kaoru Ohyama, Kaspar E Vogt, Yuichi Makino, Thomas McHugh, Hideitsu Hino, Shotaro Akaho, Noboru Murata. Hawkes process modeling quantifies complicated firing behaviors of cortical neurons during sleep and wakefulness. 2023
  • Aritake, Toshimitsu, Hino, Hideitsu. Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. 2022
  • Toshimitsu Aritake, Hideitsu Hino. Domain Adaptation with Optimal Transport for Extended Variable Space. 2022 International Joint Conference on Neural Networks (IJCNN). 2022
  • Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata. Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks. 2022. 149. 29-39
  • Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata. Single-Molecule Localization by Voxel-Wise Regression Using Convolutional Neural Network. Results in Optics. 2020. 1. 100019-100019
more...
MISC (3):
  • 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. 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. 行政&情報システム. 2017. 53. 3. 14-19
  • 谷繁幸, VILLUMSEN Jonas Christoffer, 有竹俊光, TAYLOR Bruno Hannibal. 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. 日立評論. 2017. 99. 3
  • 有竹 俊光, 日野 英逸, 村田 昇. 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. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2012. 112. 279. 343-350
Books (1):
  • 数理科学 2024年 04 月号 データサイエンスと数理モデル
    サイエンス社 2024
Lectures and oral presentations  (3):
  • Domain Adaptation for Extra Features Using Fused Gromov-Wasserstein Based on Graph Distance
    (2024)
  • 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) 2023)
  • Fractography using Transformers
    (The 26th Information-Based Induction Sciences Workshop 2023)
Education (4):
  • 2017 - 2021 Waseda University Graduate School of Advanced Science and Engineering
  • 2012 - 2014 Waseda University Graduate School of Advanced Science and Engineering Department of Electrical Engineering and Bioscience
  • 2008 - 2012 Waseda University School of Advanced Science and Engineering Department of Electrical Engineering and Bioscience
  • 2005 - 2008 私立城北埼玉高等学校 普通科
Work history (2):
  • 2023/04 - 現在 Hitotsubashi University Hitotsubashi Institute for Advanced Study Assistant Professor
  • 2021/04 - 2023/03 Research Organization of Information and Systems The Institute of Statistical Mathematics Project Assistant Professor
Awards (2):
  • 2023/09 - Japanese Neural Network Society Paper Award Detecting cell assemblies by NMF-based clustering from calcium imaging data
  • 2022/11 - Information-Based Induction Sciences and Machine Learning IEICE TC-IBISML Research Award Domain Adaptation with Optimal Transport for Extended Variable Space
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