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J-GLOBAL ID：202201021305403049 Update date: Feb. 27, 2025

KOMATSU Mizuka

コマツミズカ | KOMATSU Mizuka

Affiliation and department：

Research field (1)： Applied mathematics and statistics

Research theme for competitive and other funds (7)：

2024 - 2027 Coordinating Deep Learning and Algebraic Methods for State Space Modeling
2022 - 2025 Modeling Auditory Attention: Coordinating a Dynamic Causal Model and Deep Learning
2023 - 2024 計算微分代数統計への試み
2022 - 2024 Basic research on interpretability and causality in modeling time-dependent phenomena
2023 - 2023 Differential elimination: bridging computational and application perspectives

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Papers (9)：

Mizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima. Algebraic design of physical computing system. Physica D: Nonlinear Phenomena. 2024. 134382-134382
Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa. SCIRNet: Skeleton-based cattle interaction recognition network with inter-body graph and semantic priority. 2023 International Joint Conference on Neural Networks (IJCNN). 2023
Yang Yang, Mizuka Komatsu, Kenji Oyama, Takenao Ohkawa. Real-Time Cattle Interaction Recognition via Triple-stream Network. Proceedings of the 21st IEEE International Conference on Machine Learning and Application (ICMLA2022). 2022
Mizuka Komatsu, Takaharu Yaguchi, Kenji Kamada, Gen Izumisawa. Identification method for polynomially parametrized LTI systems based on exhaustive modelling with algebraic elimination. Nonlinear Theory and Its Applications, IEICE. 2021. 12. 3. 295-308
Mizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima. Algebraic approach towards the exploitation of “softness”: the input-output equation for morphological computation. The International Journal of Robotics Research. 2021. 40. 1. 99-118

MISC (2)：

小松瑞果. 変数消去を切り口とした代数生物学の研究例の紹介. 酵素工学ニュース. 2022. 88. 19-22
Mizuka Komatsu, Takaharu Yaguchi. An algebraic approach to challenges on identification problems in systems biology (Recent developments on inverse problems for partial differential equations and their applications). 2021. 2186

Books (1)：

Lectures and oral presentations (63)：

Algebraic design of physical computing system for time-series generation
(NeurIPS 2023 Workshop on ML with New Compute Paradigms (MLNCP) 2024)
未観測変数をもつPhysics-Informed Neural Networks における微分消去に基づくパラメータ推定
(記号計算の高速化と産業課題解決への応用2 2024)
Estimate epidemiological parameters given partial observations based on algebraically observable PINNs
(IEEE CAI 2024 Workshop on Scientific Machine Learning and its Industrial Applications 2024)
個性の定量化とModel Identifiability
(第6回日本メディカルAI学会学術集会 2024)
Application of differential elimination for physics-informed neural networks
(XII. Conference on Differential Algebra and Related Topics (DART2024) 2024)

Education (3)：

Work history (2)：

Committee career (5)：

Awards (6)：

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Association Membership(s) (2)：

情報処理学会 , 日本応用数理学会

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