Preprint

  • D. Inoue, M. Laurière, and D. Kalise, “Nonlocal Mean Field Schrödinger Bridge with Learned Interactions,” Jun. 02, 2026. (link)
  • N. Isobe, D. Inoue, and M. Imaizumi, “Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers,” May 08, 2026. (link)
  • D. Inoue, T. Matsumori, G. Tanaka, and Y. Ito. “Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics,” September 4, 2025. (link)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations,” January 18, 2023. (link)

Journal (Refereed)

  • T. Miyano, Y. Ito, D. Inoue, and T. Hatanaka, “Practical Consensus Among Heterogeneous Decision-Makers: Experimental and Theoretical Analyses,” IEEE Transactions on Computational Social Systems, pp. 1–11, 2026. (link)
  • S. Koyama, D. Inoue, H. Yoshida, K. Aihara, and G. Tanaka, “Assessing the predictability of meteorological variables via spatial correlations using echo state networks,” Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 36, no. 8, p. 083115, Aug. 2026. (link)
  • T. Miyano, Y. Ito, D. Inoue, and T. Hatanaka, “Stability Analysis of Mixed Logit Dynamics with Internal/External Conformity Biases and Committed Minority.” IFAC Journal of Systems and Control 34, 100343, Dec. 2025. (link)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “An Uncertainty-Aware, Mesh-Free Numerical Method for Kolmogorov PDEs,” Journal of Scientific Computing, vol. 103, no. 2, Article 41, Mar. 2025. (link)
  • D. Inoue, H. Yamashita, K. Aihara, and H. Yoshida, “Traffic signal optimization in large-scale urban road networks: an adaptive-predictive controller using Ising models,” IEEE Access, vol. 12, pp. 188739–188754, 2024. (link)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “Partially Centralized Model-Predictive Mean Field Games for Controlling Multi-Agent Systems,” IFAC Journal of Systems and Control, vol. 24, Article 100217, 2023. (link)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “A fictitious-play finite-difference method for linearly solvable mean field games,” ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN), vol. 57, no. 4, pp. 1863–1892, Jul. 2023. (link)
  • A. Okada, D. Inoue, S. Koyama, T. Matsumori, and H. Yoshida, “Dynamical Cooperation Model for Mitigating the Segregation Phase in Schelling’s Model.” The European Physical Journal B, 2022, 95, no. 10. (link)
  • S. Koyama, D. Inoue, A. Okada, and H. Yoshida, “Electro-osmotic diode based on colloidal nano-valves between double membranes,” Phys. Rev. Research, 2021, 3, 033289. (link)
  • D. Inoue, A. Okada, T. Matsumori, K. Aihara, and H. Yoshida, “Traffic Signal Optimization on a Square Lattice with Quantum Annealing,” Scientific Reports, vol. 11, Article 3303, 2021. (link)
  • D. Inoue, Y. Ito, and H. Yoshida, “Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method,” IEEE Control Systems Letters, vol. 5, no. 4, pp. 1483–1488, 2021. (link)
  • S. Koyama, D. Inoue, A. Okada, and H, Yoshida, “Separation of pedestrian counter flows with an array of obstacles,” Artificial Life and Robotics 25, 2020, 529–536. (link)
  • S. Koyama, D. Inoue, A. Okada, and H. Yoshida, “Membranes for spontaneous separation of pedestrian counterflows,” EPL (Europhysics Letters), vol. 129, no. 5, Article 50005, 2020. (link)
  • D. Inoue and H. Yoshida, “Model Predictive Control for Finite Input Systems using the D-Wave Quantum Annealer,” Scientific Reports, vol. 10, Article 1591, 2020. (link)
  • D. Inoue, D. Murai, Y. Ikuta, and H. Yoshida, “Distributed Range-based Localization and Control for Swarm Robot Systems,” Sensors & Transducers, 2019, Vol. 236, Issue 8, pp. 16-27. (link)
  • 井上 大輔, 東 俊一, 杉江 俊治, ネットワーク化単調システムの安定性解析, 計測自動制御学会論文集, 2017, 53 巻, 9 号, pp. 493-500. (link)
  • 井上 大輔, 東 俊一, 杉江 俊治, 量子化観測を伴う移動ロボットシステムのランデブー制御, システム制御情報学会論文誌, 2016, 29 巻, 7 号, pp. 311-317. (link)
  • 加嶋 健司, 井上 大輔, ネットワーク化制御系における確率雑音の白色化効果と非再現性の同時活用, 計測自動制御学会論文集, 2014, 50 巻, 10 号, pp. 712-720. (link)

Conference (Refereed)

  • T. Miyano, Y. Ito, D. Inoue, S. Koide, and T. Hatanaka, “Stability Analysis of Logit Dynamics with Committed Minority and Internal/External Conformity Biases,” Proc. 22nd IFAC World Congress, Yokohama, Japan, July 9-14, 2023. (link)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “Model Predictive Mean Field Games for Controlling Multi-Agent Systems,” IEEE International Conference on Systems, Man, and Cybernetics 2021 (SMC 2021), Melbourne, Australia, 2021. (link)
  • D. Inoue, Y. Ito, and H. Yoshida, “Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method,” American Control Conference 2021 (ACC 2021), New Orleans, USA, 2021. (link)
  • S. Koyama, D. Inoue, A. Okada, and H. Yoshida, “Separation of Pedestrian Counter Flows with an Array of Obstacles,” The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2019), Okinawa, Japan, pp. 314-318, 2019. (link)
  • D. Inoue, D. Murai, and H. Yoshida, “Stochastic Self-Organizing Control for Swarm Robot Systems,” The Tenth International Conference on Swarm Intelligence (ICSI 2019), Chiang Mai, Thailand, pp. 405-416, 2019. (link)
  • D. Inoue, D. Murai, Y. Ikuta, and H. Yoshida, “Distributed Range-based Localization for Swarm Robot Systems using Sensor-Fusion Technique,” SENSORNETS 2019, Prague, Czech Republic, pp. 13 - 22, 2019. (link)
  • K. Kashima and D. Inoue, “Replay attack detection in control systems with quantized signals,” 2015 European Control Conference (ECC), Linz, pp. 782-787, 2015. (link)
  • K. Kashima and D. Inoue, “Stationary performance evaluation of control systems with random dither quantization,” 2014 European Control Conference (ECC), Strasbourg, pp. 1625-1630, 2014. (link)

Japanese Journal

  • 井上 大輔, 大規模エージェントシステムの連続体近似制御-平均場ゲームと動的最適輸送, システム/制御/情報, vol. 68, no. 6, pp. 224–229, 2024. (link)

Conference (Unrefereed)

  • F. Kelbel, D. Inoue, D. Kalise, M. Laurière, and A. Russo, “Scalable Equilibrium Selection of Coarse Correlated Equilibria in Mean-Field Games,” 27th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2026), Waterloo, Canada, Aug. 21, 2026. (program)
  • D. Inoue, D. Kalise, and W. Liu, “Computational Methods for Generalized Schrödinger Bridge Problems,” 27th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2026), Waterloo, Canada, Aug. 21, 2026. (program)
  • D. Inoue, “Numerical Approximation of Nonlocal Mean Field Schrödinger Bridges,” The 15th AIMS Conference, Athens, Greece, July, 7, 2026. (slides)
  • D. Inoue, “Numerical Approximation of Nonlocal Mean Field Schrödinger Bridges,” 2026 SIAM Conference on Optimization (OP26), Edinburgh, United Kingdom, June, 4, 2026. (slides)
  • D. Inoue, “Numerical Computation of Mean Field Games Using Cole-Hopf Transformation and Fictitious Play”, SQUIDS Seminar, Manchester University, November, 12, 2025. (slides)
  • D. Inoue, “Numerical Computation of Mean Field Games Using Cole-Hopf Transformation and Fictitious Play”, 2025 SIAM Conference on Control and Its Applications (CT25), Montréal, July, 28, 2025. (slides)
  • D. Inoue, H. Yamashita, K. Aihara, H. Yoshida, “Traffic Signal Optimization in Large-Scale Urban Road Networks: An Adaptive-Predictive Controller Using Ising Models,” Workshop on Mathematics for Machine Learning and Its Application to Industry, Kyushu University, April, 17, 2025. (slides)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “An Uncertainty-aware, Mesh-free Numerical Method for Kolmogorov PDEs,” International Conference on Scientific Computation and Differential Equations 2024, Singapore, July, 16, 2024. (slides)
  • D. Inoue, Y. Ito, T. Kashiwabara, N. Saito, and H. Yoshida, “An Uncertainty-aware Mesh-free Numerical Method for Kolmogorov PDEs,” REMODEL-DSC Workshop on Machine Learning and Physics, Hokkaido University, September, 2, 2024. (slides)
  • 井上 大輔, 伊藤 優司, 柏原 崇人, 齊藤 宣一, 吉田 広顕, ガウス過程回帰とモンテカルロ法を用いた偏微分方程式の数値計算, 日本応用数理学会2024年度年会, 2024. (slides)
  • 井上 大輔, 大規模マルチエージェントシステムの制御のための平均場モデルとその数値計算, 九州大学IMI研究集会「数値解析と機械学習の協同が拓く新時代の数理科学」, 2023. (slides)
  • 井上 大輔, 伊藤 優司, 吉田 広顕, 柏原 崇人, 齊藤 宣一, 平均場ゲーム方程式に対する繰り返し差分法とマルチエージェント制御問題への応用, 京都大学RIMS研究集会「新時代における高性能科学技術計算法の探究」, 2023. (slides)
  • 井上 大輔, 伊藤 優司, 吉田 広顕, 柏原 崇人, 齊藤 宣一, 平均場ゲーム方程式のCole-Hopf変換とFictitious Play反復による数値計算, 日本応用数理学会2022年度年会, 2022. (slides)
  • 井上 大輔, 量子アニーリングマシンを用いた大規模都市での信号制御, 第69回応用物理学会春季学術講演会, 2022（分科内招待公演）
  • 井上 大輔, 量子アニーリングマシンを用いた大規模都市での信号制御, 量子コンピューティング技術シンポジウム2021 (link)
  • 井上 大輔, 伊藤 優司, 吉田 広顕, 柏原 崇人, 齊藤 宣一, Hamilton-Jacobi-Bellman方程式に対する風上差分法の収束証明, 日本応用数理学会2021年度年会, 2021
  • 井上 大輔, 東 俊一, 杉江 俊治, ネットワーク化単調システムの安定性解析 , 第59回自動制御連合講演会, 2016 （優秀発表賞受賞）
  • 井上 大輔, 加嶋 健司, ディザを有する制御系におけるリプレイアタック 検出, 第58回システム制御情報学会研究発表講演会, 2014 （研究奨励賞受賞）
  • 井上 大輔, 加嶋 健司, ディザを有する制御系の定常特性解析 II：リプレイアタック検出, 第1回制御部門マルチシンポジウム , 2014 （制御部門研究奨励賞受賞）
  • 井上 大輔, 加嶋 健司, ディザを有する制御系の定常特性解析 I: 不変確率測度の近似計算 , 第1回制御部門マルチシンポジウム , 2014

Patent

  • 井上 大輔, 演算装置、演算システム、演算方法、およびコンピュータプログラム, 7040505号

Media listing

Awards

  • Dean’s Award, Graduate School of Mathematical Sciences, The University of Tokyo (2024, Mar)
  • Repayment Exemption for Students with Excellent Grades, Japan Student Services Organization (2017, Jun)
  • Best presentation award at The 59th Japan Automatic Control Conference, The Society of Instrument and Control Engineer (2016 Nov)
  • Research Encouragement Award on The 58th Annual Conference of the Institute of Systems, Control and Information Engineers, The Institute of Systems, Control and Information Engineers (2015 Jun)
  • Research Encouragement Award on The 1st Multi-symposium on Control Systems, The Society of Instrument and Control Engineers (2014 Mar)

Grants

  • Vulcanus in Europe 2015 (15, 540 dollars), Selected students get to go to Europe to study the local language, and to have a working experience at EU-Japan Centre for Industrial Cooperation in Institute for International Studies and Training