プレプリント / Preprints
査読付き論文誌 / Referred journal papers
Daisuke Inoue, Hiroshi Yamashita, Kazuyuki Aihara, and Hiroaki Yoshida. "Traffic Signal Optimization in Large-Scale Urban Road Networks: An Adaptive-Predictive Controller Using Ising Models." IEEE Access, 12, 188739-188754, 2024. [link] [arxiv] (doi: 10.1109/ACCESS.2024.3514162)
Takumi Sakabe, Suguru Shimomura, Yusuke Ogura, Ken-ichi Okubo, Hiroshi Yamashita, Hideyuki Suzuki, and Jun Tanida. "Spatial-photonic Ising machine by space-division multiplexing with physically tunable coefficients of a multi-component model." Optics Express, 31, 26, pp. 44127-44138, 2023. [link] [arxiv] (doi:10.1364/OE.508069)
Hiroshi Yamashita, Ken-ichi Okubo, Suguru Shimomura, Yusuke Ogura, Jun Tanida, and Hideyuki Suzuki. "Low-Rank Combinatorial Optimization and Statistical Learning by Spatial Photonic Ising Machine." Physical Review Letters, 131, 063801, 2023. [link] [arxiv] (doi:10.1103/PhysRevLett.131.063801)
Hiroshi Yamashita, Hideyuki Suzuki, and Kazuyuki Aihara. "Entropic herding." Statistics and Computing, 33, 31, 2023. [link] [arxiv] (doi:10.1007/s11222-022-10199-8)
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki. "Accelerating numerical simulation of continuous-time Boolean satisfiability solver using discrete gradient," Communications in Nonlinear Science and Numerical Simulation, 102, 105908, 2021. [link] (doi: 10.1016/j.cnsns.2021.105908)
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki. "Timescales of Boolean satisfiability solver using continuous-time dynamical system," Communications in Nonlinear Science and Numerical Simulation, 84, 105183, 2020. [link] (doi: 10.1016/j.cnsns.2020.105183)
Hiroshi Yamashita, and Hideyuki Suzuki, "Convergence analysis of herded-Gibbs-type sampling algorithms: effects of weight sharing," Statistics and Computing, 29, pp.1035-1053, 2019. [link] (doi: 10.1007/s11222-019-09852-6)
Dinghua Li, Ruibang Luo, Chi-Man Liu, Chi-Ming Leung, Hing-Fung Ting, Kunihiko Sadakane, Hiroshi Yamashita, and Tak-Wah Lam, "MEGAHIT v1.0: a fast and scalable metagenome assembler driven by advanced methodologies and community practices," Methods, 102, pp. 3-11, 2016. [link] (doi: 10.1016/j.ymeth.2016.02.020)
発表(査読付き国際会議) / Referred conference presentations
Gaku Yoneda, Hiroshi Yamashita, Sho Shirasaka, Hideyuki Suzuki, "Early warning signals in networked systems subjected to colored noise." Proceedings of the 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024), p. 410, 2024.
Tomoki Hosaka, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka, "Combining Continuous External Input and Stochastic Resetting for Optimal Control" Proceedings of the 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024), pp. 408-409, 2024.
Naoki Watamura, Hiroshi Yamashita, Hideyuki Suzuki, "Structure of Neural Network and the accuracy of Physics Informed Neural Network." Proceedings of the 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024), pp. 331-332, 2024.
Hiroshi Yamashita, Hideyuki Suzuki, "Deviation of Sample Distribution in the Herding Algorithm from the Boltzmann Distribution." Proceedings of the 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024) pp. 324-326, 2024. (oral)
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka, "Optimizing reservoir computers for attractor reconstruction by statistics of functional regularities." Proceedings of the 2024 International Symposium on Nonlinear Theory and Its Applications (NOLTA2024), pp. 314-315, 2024.
Haruto Yokoyama, Naoki Watamura, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka, "Estimation of 3D Data from 2D Cross-Sectional Data Using Physics Informed Neural Networks." 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'24), pp. 482-483, 2024.
Naoki Watamura, Hiroshi Yamashita, Hideyuki Suzuki, "On the Resolution of Physics Informed Neural Network." 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'24), pp. 258-259, 2024.
Tetsutaro Kataoka, Hiroshi Yamashita, Hideyuki Suzuki, "An Efficient Hyper-Rectangle Generation Algorithm for CONBQA." 2024 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'24), pp. 196-197, 2024.
Hiroshi Yamashita and Hideyuki Suzuki, "A Formulation of Clustering Problems as Ising Problems with Convolutional Interaction Structure." In Proceedings of the 2023 International Symposium on Nonlinear Theory and its Applications (NOLTA2023), pp. 315-316, 2023. (oral)
Tetsutaro Kataoka, Hiroshi Yamashita, and Hideyuki Suzuki, "Optimization of the Coupling Weight Schedule in Momentum Annealing." In Proceedings of the 2023 International Symposium on Nonlinear Theory and its Applications (NOLTA2023), p. 426, 2023.
Hiroshi Yamashita, Hideyuki Suzuki, and Kazuyuki Aihara, "Herding with self-organizing multiple starting point optimization," In Proceedings of the 2022 International Symposium on Nonlinear Theory and its Applications (NOLTA2022), pp. 33-36, 2022. (oral)
Suguru Shimomura, Ken-ichi Okubo, Hiroshi Yamashita, Yusuke Ogura, Hideyuki Suzuki, and Jun Tanida, "Numerical demonstration of spatial photonic Ising machine by using time-division multiplexing". The 15th Pacific Rim Conference on Lasers and Electro-Optics, No. CThP13D-03, 2022.
Hiroshi Yamashita, Hideyuki Suzuki, and Kazuyuki Aihara, "Representation and Destabilization of Local Minima in Continuous-Time Boolean Satisfiability Solver." In Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications (NOLTA2020), pp. 258-261. (oral)
Hiroshi Yamashita, Hideyuki Suzuki, Zoltan Toroczkai, and Kazuyuki Aihara, "Bounded continuous-time satisfiability solver," In Proceedings of the 2019 International Symposium on Nonlinear Theory and Its Applications, pp. 436-439, 2019. (oral, poster)
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki, "Algorithmic aspects of a continuous-time dynamical system for solving SAT problems," In Proceedings of the 2018 International Symposium on Nonlinear Theory and its Applications (NOLTA2018), 2018. (oral)
その他記事 (英文) / Other articles
Hiroshi Yamashita. "Sampling-Like Dynamics of the Nonlinear Dynamical System Combined with Optimization." In: Suzuki, H., Tanida, J., Hashimoto, M. (eds) Photonic Neural Networks with Spatiotemporal Dynamics. Springer, Singapore, 2023, pp. 201-223. [link] (doi: 10.1007/978-981-99-5072-0_10)
その他記事 (和文) / Other articles (in Japanese)
その他発表 / Other presentations
山下 洋史，鈴木 秀幸，"バイナリ変分分布族を用いたボルツマンマシンの変分推論," 日本物理学会第80回年次大会，2025年9月．
大石 悟, 山下 洋史, 鈴木 秀幸, 白坂 将，"アトラクタ再構成のためのリザバーコンピュータの冗長自由度削減," 日本物理学会第80回年次大会，2025年9月．
馬場 元，山下 洋史，鈴木 秀幸，白坂 将，"周期的活性化関数を用いたニューラルネットワークによる位相振幅振動子モデルの応答特性推定," 日本応用数理学会2025年度年会，2025年9月．
山下 洋史，鈴木 秀幸，"Entropic herding による変分推論の誤差解析," 連続最適化および関連分野に関する夏季学校2025，2025年8月．
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka. "Node Pruning of Overembedded Reservoir Computers for Attractor Reconstruction," 2025 SIAM Conference on Applications of Dynamical Systems (DS25), 2025.
大石 悟，山下 洋史，鈴木 秀幸，白坂 将，"A unified approach to attractor reconstruction for Reservoir Computers," ワークショップ：関数空間論に基づく深層学習の理論と応用，2025年3月．
中村 仁，加藤 万理子，黒岩 蒼太郎，崎野 也真人，田中 剛平，山下 洋史，鈴木 秀幸，白坂 将，"リザバー計算に触発された軽量型Transformer の提案：パラメタ共有を用いた計算の効率化と性能評価," 言語処理学会第31回年次大会，2025年3月．
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka. "Training-free Optimization of Size of Reservoir Computers for Attractor Reconstruction." The 6th International Symposium on Neuromorphic AI Hardware, 2025.
Satoshi Oishi, Hiroshi Yamashita, Hideyuki Suzuki, Sho Shirasaka. "Reducing Redundancy in Reservoir Computing to Address Overembedding." Workshop on Dynamical Systems and Machine Learning, 2025.
山下 洋史，鈴木 秀幸，"Kernel herding によるモンテカルロ積分の適用範囲拡大と性能評価," 計算技術による学際的統計解析ワークショップ，2025年2月．（ポスター）
Yusuke Ogura, Takumi Sakabe, Suguru Shimomura, Hiroshi Yamashita, Hideyuki Suzuki, Jun Tanida. "Spatial photonic Ising machine using a digital micromirror device." In Proceedings of The Fifteenth Japan-Finland Joint Symposium on Optics in Engineering (OIE’25), p. 42, 2025.
下村 優，谷田 純，山下 洋史，鈴木 秀幸，小倉 裕介，"フーリエ変換作用を活用した空間フォトニックイジングマシンの実験的検証," レーザー学会学術講演会第45回年次大会，2025年1月．
大石 悟，山下 洋史，鈴木 秀幸，白坂 将，"Suppression of Overembedding in Reservoir Computing," Dynamics Days Sapporo 2024，2024年12月．
山下 洋史，鈴木 秀幸，"高精度サンプリングアルゴリズム kernel herding の適用範囲の拡大," 第27回情報論的学習理論ワークショップ (IBIS2024)，2024年11月．（ポスター）
山下 洋史，鈴木 秀幸，"Herding とマルコフ連鎖の組み合わせによる非マルコフ的モンテカルロ法のバイアス低減," 日本物理学会第79回年次大会，2024年9月．（ポスター）
山下 洋史，鈴木 秀幸，"Herding を用いたモンテカルロ近似の精度と被積分関数の関係の解析," 2024年度統計関連学会連合大会，2024年9月．（口頭）
小倉 裕介，坂部 拓実，下村 優，山下 洋史，鈴木 秀幸，谷田 純，"空間フォトニックイジングマシン：高速化の方策と課題," 情報フォトニクス研究討論会2024，2024年7月．
坂部 拓実，下村 優，小倉 裕介，山下 洋史，鈴木 秀幸，谷田 純，"空間フォトニックイジングマシンにおけるDMDを用いた高速化の検討," 2024年第71回応用物理学会春季学術講演会，2024年3月．
山下 洋史，鈴木 秀幸，"アニーリングマシンのモンテカルロ積分への応用のための herding を用いたサンプル後処理手法 ," 日本物理学会2024年春季大会，2024年3月．（口頭，オンライン）
Suguru Shimomura, Ken-ichi Okubo, Hiroshi Yamashita, Yusuke Ogura, Hideyuki Suzuki, and Jun Tanida. "Function enhancement of spatial photonic Ising machine by parallel processing using space-division multiplexing." 2023 Conference on Lasers and Electro-Optics/Europe, 2023. (oral)
坂部 拓実，下村 優，小倉 裕介，大久保 健一，山下 洋史，鈴木 秀幸，谷田 純，"パラメータ調整可能な多重化空間フォトニックイジングマシンの性能評価," 第70回応用物理学会春季学術講演会，2023年3月．（口頭）
Takumi Sakabe, Suguru Shimomura, Yusuke Ogura, Ken-ichi Okubo, Hiroshi Yamashita, Hideyuki Suzuki, and Jun Tanida. "Control of solution property on multiplexed spatial-photonic Ising machine by tuning optical parameter", The 12th Korea-Japan Workshop on Digital Holography and Information Photonics, 2022. (oral)
坂部 拓実，下村 優，小倉 裕介，大久保 健一，山下 洋史，鈴木 秀幸，谷田 純，"光変調の空間多重化に基づくフォトニックイジングマシンの自由度拡張," Optics & Photonics Japan 2022，2022年11月．（口頭）
山下洋史，吉田広顕，西智樹，原祐輔，"Jリーグ試合終了後の会場周辺人流に影響を及ぼす要因の統計解析," 第65回土木計画学研究発表会・春大会（自由投稿型），2022年6月．(口頭，オンライン)
下村 優，大久保 健一，山下 洋史，小倉 裕介，鈴木 秀幸，谷田 純，"時分割多重化による空間光イジングマシンの機能拡張," レーザー学会学術講演会第42回年次大会，2022．（口頭）
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki, "Optimizing interaction dynamics of the analog chaotic solver for boolean satisfiability problem," International Conference on Unconventional Computation and Natural Computation, 2019. (poster)
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki, "Time scales of continuous-time dynamical system solving satisfiability problem," Coherent Network Computing, 2019. (poster)
Hiroshi Yamashita, Kazuyuki Aihara, and Hideyuki Suzuki, "Links between a SAT-solving continuous time dynamical system and non-convex optimization algorithms," 1st IRCN RETREAT 2018, 2018. (poster)
山下 洋史，鈴木 秀幸，合原 一幸，"ボルツマンマシンからのサンプリングにおける discretized herded Gibbs のバイアス削減," 東京大学生命科学シンポジウム，2016. （口頭・ポスター）
山下 洋史，鈴木 秀幸，"決定的サンプリング法 herded Gibbs の連続分布への拡張," 人工知能学会全国大会，2016. （口頭）
山下 洋史，鈴木 秀幸，"Discretized herded Gibbs の性質とその拡張について," 応用数理学会連合発表会，2016. （口頭）
山下 洋史，鈴木 秀幸，"Herded Gibbs sampling の推定バイアスの削減," ImPACT量子情報技術ワークショップ， 2016. （口頭・ポスター）