ISSEY SUKEDA

Publication

✔︎ Google Scholar, ✔︎ arXiv, ✔︎ SpeakerDeck

Reviewed Journal Papers （論文誌, 英文査読付のみ）

  1. Issey Sukeda and Tomonari Sei:
    Minimum information Markov model , Journal of Multivariate Analysis, in press. ✔︎arxiv ✔︎paper

  2. Issey Sukeda and Takeru Matsuda:
    Sparse graphical modeling for electrophysiological phase-based connectivity using circular statistics , Neural Computation. 38(7), 2026. ✔︎biorxiv ✔︎paper

  3. Issey Sukeda and Tomonari Sei:
    On the minimum information checkerboard copulas under fixed Kendall’s rank correlation , Statistical Papers, 2025. ✔︎arxiv ✔︎paper

  4. Issey Sukeda and Tomonari Sei:
    Frank copula is minimum information copula under fixed Kendall’s τ , Statistics & Probability Letters, 2025. ✔︎arxiv ✔︎paper

  5. Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, Satoshi Kodera:
    Development and analysis of medical instruction-tuning for Japanese large language models , Artificial Intellignece in Health 1(2), 107-116, 2024. ✔︎paper

  6. Issey Sukeda, Atsushi Miyauchi, and Akiko Takeda:
    A study on modularity density maximization: Column generation acceleration and computational complexity analysis , European Journal of Operational Research 309, pp. 516–528, 2023. ✔︎paper ✔︎arXiv

  7. Shinnosuke Sawano, Satoshi Kodera, Masataka Sato, Susumu Katsushika, Issei Sukeda, … , and Issei Komuro:
    Age prediction from coronary angiography using a deep neural network: Age as a potential label to extract prognosis-related imaging features , Plos one 17(10), 2022. ✔︎paper

Reviewed International Conference （国際学会, 査読付のみ）

  1. Riku Takahashi, Rongzhi Li, Yuta Oshima, Sho Kuno, Ryugo Morita, Issey Sukeda:
    AKITalk: Audio-Implicit Keypoints for Identity-Preserving Talking-Head Video Synthesis , MMAsia'25 Workshops: Proceedings of the 7th ACM International Conference on Multimedia in Asia , 2025. ✔︎proceeding

  2. Shinnosuke Ono, Issey Sukeda, Takuro Fujii, Kosei Buma, Shunsuke Sasaki:
    A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP , IJCNLP-AACL Main Conference, 2025. ✔︎arxiv ✔︎proceeding

  3. Hirohane Takagi, Gouki Minegishi, Shota Kizawa, Issey Sukeda, Hitomi Yanaka:
    Interpreting Multi-Attribute Confounding through Numerical Attributes in Large Language Models , IJCNLP-AACL Main Conference, 2025. ✔︎arxiv ✔︎proceeding

  4. Ryugo Morita, Sho Kuno, Ryunosuke Tanaka, Rongzhi Li, Hoang Dai Dinh, Issey Sukeda:
    SAWNA: Space-Aware Text to Image Generation , SIGGRAPH Posters, 2025. ✔︎proceeding

  5. Yingjian Chen, Feiyang Li, Xingyu Song, Tianxiao Li, Issey Sukeda, and Irene Li:
    Exploring the Role of Knowledge Graph-Based RAG in Japanese Medical Question Answering with Small-Scale LLMs , SLM4Health Workshop in Artificial Intelligence in Medicine Conference, 2025. ✔︎workshop ✔︎arxiv

  6. Issey Sukeda:
    Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resources , NeurIPS Workshop Advancements in Medical Foundation Models, 2024.
    ✔︎arxiv ✔︎OpenReview ✔︎GitHub

  7. Hiroaki Murakami, Takuya Sasatani, Masanori Sugimoto, Issey Sukeda, Yukiya Mita, Yoshihiro Kawahara:
    SyncEcho: Echo-Based Single Speaker Time Offset Estimation for Time-of-Flight Localization , Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024. ✔︎paper

  8. Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, and Satoshi Kodera:
    JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning , NeurIPS Workshop Deep Generative Models for Health, 2023. ✔︎arxiv ✔︎openreview ✔︎conference ✔︎poster

  9. Issey Sukeda, Hiroaki Murakami, Yuki Nishiyama, and Yoshihiro Kawahara:
    Recursive Queueing Estimation Using Smartphone-based Acoustic Ranging , Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022. ✔︎paper ✔︎conference

  10. Shinnosuke Sawano, Satoshi Kodera, Hirotoshi Takeuchi, Issei Sukeda, Susumu Katsushika, and Issei Komuro :
    Masked Autoencoder-Based Self-Supervised Learning for Electrocardiograms to Detect Left Ventricular Systolic Dysfunction , NeurIPS Workshop on Learning from Time Series for Health, 2022. ✔︎poster ✔︎openreview ✔︎conference

  11. Yuuki Nishiyama, Hiroaki Murakami, Ryoto Suzuki, Kazusato Oko, Issey Sukeda, Kaoru Sezaki, and Yoshihiro Kawahara:
    MOCHA: Mobile Check-in Application for University Campuses Beyond COVID-19 , Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, 253-258, 2022. ✔︎paper

Preprint （紀要）

  1. Issey Sukeda and Tomonari Sei:
    Relative local dependence of bivariate copulas ✔︎arxiv

  2. Issey Sukeda, Risa Kishikawa, and Satoshi Kodera:
    70B-parameter large language models in Japanese medical question-answering ✔︎arxiv

Talks（研究発表）

  1. (heading) RIKEN CBS Retreat 2026, Tokyo, Japan, December 2025.

    • Poster session
    • Title: TBA

  2. 統計関連連合大会 2026, Japan, September 2026.

    • 口頭発表
    • Title: 最小情報マルコフモデルの理論と脳波解析への応用

  3. コピュラ理論の新展開, Japan, June 2026.

    • 口頭発表
    • Title: 双曲リウビユコピュラの検討

  4. IMS Asia Pacific Rim 2026, HongKong, June 2026.

    • Invited Paper Sessions: Recent Advances in Copula Theory and Applications
    • Title: Dependence modeling for circular data in neuroscience

  5. ICSDS 2025, Sevilla, Spain, December 2025.

    • Student Award session
    • Title: Phase-amplitude coupling analysis with cylindrical distributions

  6. RIKEN CBS Retreat 2025, Tokyo, Japan, November 2025.

    • Poster session
    • Title: Phase-amplitude coupling analysis with cylindrical distributions

  7. 65th ISI World Statistics Congress 2025, Hague, Netherlands, October 2025.

    • Poster session
    • Title: Frank copula is the minimum information copula under fixed Kendall’s τ

  8. 統計サマーセミナー 2025, Kagawa, Japan, August 2025.

    • Title: Dependence modeling for phase-based coupling on EEG data

  9. SNAB 2025, Tokyo, Japan, June 2025.

    • Poster session
    • Title : Torus graph modelling for EEG analysis

  10. Hitotsubashi workshop on dependence modeling with applications, Tokyo, Japan, May 2025.

    • Oral presentation
    • Title: Frank copula, minimum information copula, and relative local dependence

  11. FDIG 2025, Tokyo, Japan, March 2025.

    • Poster session
    • Title: On the comparison between the minimum information copulas under fixed rank correlations

  12. ICSDS 2024, Nice, France, December 2024.

    • Title: Torus graph modelling for EEG analysis

  13. RIKEN CBS Retreat 2024, Gotenba, Japan, November 2024.

    • Poster session Poster （1st place in Theory/Tech Award）
    • Title: Torus graph modelling for EEG analysis

  14. Time Series, Random Fields and Beyond, Ulm, Germany, September 2024.

    • Title: Torus graph modelling for EEG analysis Press

  15. ベイズ研究集会 2024, Sapporo, Japan, September 2024.

    • Title: Regularized score matching of torus graph model applied to EEG phase-based connectivity analyses

  16. 統計関連連合大会2024, Tokyo, Japan, September 2024.

    • コンペティションセッション（最優秀報告賞）
    • Title: コピュラのrelative local dependence

  17. 統計サマースクール 2024, Yuzawa, Japan, July 2024.

    • Title: Torus graph modelling for EEG analysis

  18. 学術変革領域研究（A) 統一理論　第３回領域会議, Wako, Japan, May 2024.

    • Title: Application of Directional Statistics to Brain Data Analysis Poster

  19. 言語処理学会第30回年次大会(NLP2024), Kobe, Japan, March 2024.

    • Title: JMedLoRA：Instruction-tuningによる日本語大規模モデルの医療ドメイン適用 Abstract

  20. Machine Learning Summer School, Okinawa, Japan, March 2024.

    • Title: On the comparison between the minimum information copulas under fixed Spearman’s ρ and Kendall’s τ

  21. NeurIPS Workshop Deep Generative Models for Health, New Orleans, USA, December 2023.

    • Title: JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning

  22. 数理科学者と解く！神経科学のオープンプロブレム, Nagano, Japan, November 2023.

    • Title: 「最小情報コピュラとしてのFrankコピュラ」

  23. 接合関数（コピュラ）理論の新展開, Tokyo, Japan, September 2023.

    • Title: 「最小情報コピュラとしてのFrankコピュラ」

  24. 2023年度 統計関連学会連合大会, Kyoto, Japan, September 2023.

  25. 64th ISI World Statistics Congress 2023, Ottawa, Canada, July 2023.

    • Contributed Paper Session
    • Title: Minimum information copula under fixed Kendall’s rank correlation Abstract

  26. 日本品質学会第118回テクノメトリックス研究会, Tokyo, Japan, June 2023.

    • オンラインで発表.
    • Title: 周波数領域での最適輸送による心電図データ拡張

  27. ２０２３年度人工知能学会全国大会（第３７回）, Kumamoto, Japan, June 2023.

    • 一般セッション
    • Title: 周波数領域での最適輸送による心電図データ拡張 Paper

  28. 日本応用数理学会第19回研究部会連合発表会 第8回学生研究発表, Okayama, Japan, March 2023.

    • Title: On the comparison on minimum information copulas under fixed Spearman’s ρ and Kendall’s τ

  29. 第17回 日本統計学会春季集会, Tokyo, Japan, March 2023.

    • 学生優秀発表賞受賞 会報 報告書
    • Title: On the comparison on minimum information copulas under fixed Spearman’s ρ and Kendall’s τ

  30. 統計科学の開拓（科研費シンポジウム）, Kanazawa, Japan, Dec. 2022.

    • 科学研究費・基盤研究（A） 「大規模複雑データの理論と方法論の革新的展開」 （研究代表者：青嶋 誠（筑波大学）, 課題番号：20H00576）報告書
    • Title: Kendallの順位相関係数を固定した下での最小情報コピュラ Abstract

  31. ACM SenSys2022, Boston, MA, USA, Nov. 2022.

    • Poster Session
    • Title: Recursive Queueing Estimation Using Smartphone-based Acoustic Ranging

  32. International Workshop on Continuous Optimization, online.

    • Title: A study on modularity density maximization: Column generation acceleration and computational complexity analysis arXiv

  33. 日本オペレーションズ・リサーチ学会 秋季研究発表会

    • Title: モジュラリティ密度最大化に対する高速な列生成法の設計と計算困難性の解析 Abstract

  34. 最適化手法とアルゴリズム ─未来を担う若手研究者の集い 2022─


Misc.（その他）

  1. 峰岸剛基, 高木洋羽, 木澤翔太, 助田一晟, 谷中 瞳
    大規模言語モデルにおいて数値属性間で共有されるスケーリングベクトルの解析とその応用 言語処理学会 第31回年次大会発表論文集

  2. Preferred Networks Tech Blog.
    「数値シミュレーションデータの低次元潜在空間における時間発展ダイナミクスの学習」

  3. 助田一晟. 周波数領域での最適輸送による心電図データ拡張 人工知能学会全国大会論文集 第３７回(2023)