Takahiro Kawashima

About Me

Affiliations

• Researcher at ZOZO Research
• Undergraduate at Tokyo University of Science

Research Interests

• Statistical Machine Learning
• Bayesian Methods and Gaussian Processes
• Probabilistic Models of Random Subsets
• (Biostatistics)

Curriculum Vitae

Education

Job Experiences

Works & Publications

Journal Papers

1. Tomiki Sumiyoshi, Yasunori Morio, Takahiro Kawashima, Hisateru Tachimori, Seiji Hongo, Taishiro Kishimoto, Koichiro Watanabe, Tempei Otsubo, Hideki Oi, Kazuyuki Nakagome, Jun Ishigooka, "Feasibility of remote interviews in assessing disease severity in patients with major depressive disorder: a pilot study," Neuropsychopharmacology Reports, Vol.44, Issue 1, January 2024.
2. Munetake Yoshitomi, Keiya Iijima, Kenzo Kosugi, Yutaro Takayama, Yuiko Kimura, Yuu Kaneko, Takahiro Kawashima, Hisateru Tachimori, Noriko Sumitomo, Shimpei Baba, Takashi Saito, Eiji Nakagawa, Motohiro Morioka, Masaki Iwasaki, "Intraventricular hemorrhage volume and younger age at surgery may be risk factors for postoperative hydrocephalus after hemispherotomy in children," Journal of Neurosurgery: Pediatrics, Vol.33, Issue 3, December 2023.
3. Akinori Nakamura, Tsuyoshi Matsumura, Katsuhisa Ogata, Madoka Mori-Yoshimura, Eri Takeshita, Koichi Kimura, Takahiro Kawashima, Yui Tomo, Hajime Arahata, Daigo Miyazaki, Yasuhiro Takeshima, Toshiaki Takahashi, Keiko Ishigaki, Satoshi Kuru, Akiko Wakisaka, Hiroyuki Awano, Michinori Funato, Tatsuharu Sato, Yoshiaki Saito, Hiroto Takada, Kazuma Sugie, Michio Kobayashi, Shiro Ozasa, Tatsuya Fujii, Yoshihiro Maegaki, Hideki Oi, Hisateru Tachimori, Hirofumi Komaki, "Natural history of Becker muscular dystrophy: a multicenter study of 225 patients," Annals of Clinical and Translational Neurology, Vol.10, Issue 12, October 2023.
4. Takahiro Kawashima, Hideitsu Hino, "Minorization-Maximization for Learning Determinantal Point Processes," Transactions on Machine Learning Research, November 2023.
5. Masaaki Nakamura, Samu Taulu, Hisateru Tachimori, Yui Tomo, Takahiro Kawashima, Yoko Miura, Mina Itatani, Shozo Tobimatsu, "Single-trial neuromagnetic analysis reveals somatosensory dysfunction in chronic Minamata disease," NeuroImage: Clinical, Vol.38, May 2023.
6. Takahiro Kawashima, Hideitsu Hino, "Gaussian Process Koopman Mode Decomposition," Neural Computation, Vol.35, Issue 1, January 2023. [arXiv]
7. Tatsu Kuwatani, Hideitsu Hino, Kenji Nagata, Takahiro Kawashima, Mitsuhiro Toriumi, Masato Okada, "Hyperparameter Estimation Using Resolution Matrix for Bayesian Sensing," Inverse Problems (Special Issue on Modern Challenges in Imaging), Vol.38, No.12, November 2022.
8. Hiroshi Matsuda, Kyoji Okita, Yumiko Motoi, Toshiki Mizuno, Manabu Ikeda, Nobuo Sanjo, Koji Murakami, Taiki Kambe, Toshiki Takayama, Kei Yamada, Takashi Suehiro, Keiko Matsunaga, Takanori Yokota, Ukihide Tateishi, Yoko Shigemoto, Yukio Kimura, Emiko Chiba, Takahiro Kawashima, Yui Tomo, Hisateru Tachimori, Yuichi Kimura, Noriko Sato, "Clinical impact of amyloid PET using 18F-florbetapir in patients with cognitive impairment and suspected Alzheimer’s disease: a multicenter study," Annals of Nuclear Medicine, Vol.36, pp.1039-1049, October 2022.
9. Yuji Yamada, Ryo Okubo, Hisateru Tachimori, Takashi Uchino, Ryotaro Kubota, Hiroki Okano, Shuhei Ishikawa, Toru Horinouchi, Keisuke Takanobu, Ryo Sawagashira, Yumi Hasegawa, Yohei Sasaki, Motohiro Nishiuchi, Takahiro Kawashima, Yui Tomo, Naoki Hashimoto, Satoru Ikezawa, Takahiro Nemoto, Norio Watanabe, Tomiki Sumiyoshi, "Pharmacological interventions for social cognitive impairments in schizophrenia: A protocol for a systematic review and network meta-analysis," Frontiers in Psychology (section Psychopathology), August 2022.
10. Hiroko Kotajima-Murakami, Ayumi Takano, Shinya Hirakawa, Yasukazu Ogai, Daisuke Funada, Yuko Tanibuchi, Eriko Ban, Minako Kikuchi, Hisateru Tachimori, Kazushi Maruo, Takahiro Kawashima, Yui Tomo, Tsuyoshi Sasaki, Hideki Oi, Toshihiko Matsumoto, Kazutaka Ikeda, "Ifenprodil for the treatment of methamphetamine use disorder: An exploratory, randomized, double-blind, placebo-controlled trial," Neuropsychopharmacology Reports, Vol.42, Issue 1, pp.92-104, March 2022.
11. Masaki Iwasaki, Keiya Iijima, Takahiro Kawashima, Hisateru Tachimori, Yuiko Kimura, Suguru Yokosako, Kenzo Kosugi, Yuu Kaneko, "Predictors of Seizure Outcome after Repeat Pediatric Epilepsy Surgery: Reasons for Failure, Sex, Electrophysiology, and Temporal Lobe Surgery," Neurologia medico-chirurgica, Vol.62, Issue 3, pp.125-132, March 2022.
12. Masaki Iwasaki, Keiya Iijima, Takahiro Kawashima, Hisateru Tachimori, Yutaro Takayama, Yuiko Kimura, Yuu Kaneko, Naoki Ikegaya, Noriko Sumitomo, Takashi Saito, Eiji Nakagawa, Akio Takahashi, Kenji Sugai, Taisuke Otsuki, "Epilepsy surgery in children under 3 years of age: surgical and developmental outcomes," Journal of Neurosurgery: Pediatrics, Vol.28, Issue 4, pp.395-403, August 2021.
13. 川島 貴大, 庄野 逸, "ベイズ的変数選択に基づく分光スペクトル分解", 情報処理学会論文誌数理モデル化と応用 (TOM), Vol.12, No.2, pp.34-43, July 2019.

International Conferences (Peer-reviewed)

1. Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino, "Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization," 35th AAAI Conference on Artificial Intelligence (AAAI-21), A Virtual Conference, February, 2021.
2. Sho Ichigozaki, Takahiro Kawashima, Hayaru Shouno, "Bayesian Sparse Covariance Structure Analysis for Correlated Count Data," Proc. of the 2020 Intl. Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’20), July, 2020.
3. Takahiro Kawashima, Hayaru Shouno, "Fast Bayesian Restoration of Poisson Corrupted Images with INLA," Proc. of the 2019 Intl. Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’19), CSREA Press, pp.109-114, USA, July, 2019.

Japanese Conferences

1. 木村 正成, 川島 貴大, 相馬 輔, 日野 英逸, "Neural Submodular Bregman Divergences", 第26回情報論的学習理論ワークショップ(IBIS2023), 1-032, October 2023.
2. Yoko Kobayashi-Takahashi, Masaki Iwasaki, Shimpei Baba, Noriko Sumitomo, Yuko Shimizu-Motohashi, Takashi Saito, Takahiro Kawashima, Hisateru Tachimori, Eiji Nakagawa, "Patient Journey to Epilepsy Surgery in children with Focal Cortical Dysplasia—probable risk factors for delayed surgical intervention—", 第56回日本てんかん学会, October 2023.
3. 川島 貴大, 日野 英逸, "MMアルゴリズムによる行列式点過程の学習", 第50回情報論的学習理論と機械学習研究会(IBISML), 講演資料[PDF], June 2023.
4. 川島 貴大, 日野 英逸, "低ランク行列式点過程の最尤推定", 第25回情報論的学習理論ワークショップ(IBIS2022), 1-006, November 2022.
5. 吉富 宗健, 小杉 健三, 高山 祐太郎, 飯島 圭哉, 木村 唯子, 川島 貴大, 立森 久照, 金子 裕, 岩崎 真樹, "小児における大脳半球離断術後の水頭症リスクの検討", 第55回日本てんかん学会, September 2022.
6. 川島 貴大, 日野 英逸, "ガウス過程Koopmanモード分解", 第24回情報論的学習理論ワークショップ(IBIS2021), 38, November 2021.
7. 桑谷 立, 日野 英逸, 永田 賢二, 川島貴大, 鳥海光弘, 岡田真人, "ベイズ計測の空間解像度", 日本地球惑星科学連合2021年大会, MGI33-05, June 2021.
8. 一期﨑 翔, 川島 貴大, 庄野 逸, "スパース推定を用いた潜在的な犯罪の高リスクエリアの推定と犯罪発生メカニズムの考察", 第71回電子情報通信学会ニューロコンピューティング研究会 信学技報, NC2019-71, pp.69-74, January 2020.
9. 川島 貴大, 日野 英逸, "確率的動的モード分解における情報量基準による潜在的モード数推定", 第22回情報論的学習理論ワークショップ(IBIS2019), 2-027, November 2019.
10. 一期﨑 翔, 川島 貴大, 庄野 逸, "グラフィカルモデルを用いた犯罪発生リスクエリアのスパース性を考慮した相関関係の可視化", 第22回情報論的学習理論ワークショップ(IBIS2019), 2-018, November 2019, (poster presentation).
11. 川島 貴大, 庄野 逸, "ベイズ的変数選択法に基づく分光スペクトル分解", 第121回数理モデル化と問題解決研究会, Vol.2018-MPS-121, No.5, pp.1-6, December 2018.
12. 川島 貴大, 庄野 逸, "ベイズ的変数選択に基づく分光スペクトル分解", 第21回情報論的学習理論ワークショップ(IBIS2018), D2-44, November 2018.

Misc.

1. "行列式点過程とその学習", 統計物理と統計科学のセミナー@統計数理研究所, 講演録画[YouTube], February 26th, 2024.
2. "Minorization-Maximization for Determinantal Point Processes", ISI-ISM-ISSAS Joint Conference 2024 @Indian Statistical Institute (Kolkata, India), December 29th, 2023.
3. "ガウス過程入門", LabTech Talk vol.59（主催：株式会社LabBase）, 講演資料[SpeakerDeck], November 16th, 2022.
4. "動的モード分解の確率モデリング", 諸科学における統計思考, 諸科学集会@統計数理研究所, August 3rd, 2022.
5. "動的モード分解とその確率モデリング", 人工知能リサーチグループ講演会 @日本大学生産工学部 人工知能リサーチセンター, 講演資料[PDF], December 10th, 2021.

Awards

Contact Me

• takahiro.kawashima [at] zozo.com