Takaharu Yaguchi - researchr alias

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2023

FINDE: Neural Differential Equations for Finding and Preserving Invariant QuantitiesTakashi Matsubara 0001, Takaharu Yaguchi. iclr 2023: [doi]

2022

Causal inference for empirical dynamical systems based on persistent homologyHiroaki Bando, Shizuo Kaji, Takaharu Yaguchi. jsiaml, 14:69-72, 2022. [doi]

KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training LossYuhan Chen, Takashi Matsubara 0001, Takaharu Yaguchi. AAAI 2022: 6322-6332 [doi]

Symplecticity of coupled Hamiltonian systemsShunpei Terakawa, Takaharu Yaguchi. jsiaml, 14:37-40, 2022. [doi]

2021

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal MemoryTakashi Matsubara 0001, Yuto Miyatake, Takaharu Yaguchi. nips 2021: 20772-20784 [doi]

Secret Communication Systems Using Chaotic Wave Equations with Neural Network Boundary ConditionsYuhan Chen, Hideki Sano, Masashi Wakaiki, Takaharu Yaguchi. entropy, 23(7):904, 2021. [doi]

Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate SystemsYuhan Chen, Takashi Matsubara 0001, Takaharu Yaguchi. nips 2021: 16659-16670 [doi]

Error Factor Analysis of DNN-based Fingerprinting Localization through Virtual SpaceTakuto Jikyo, Tomio Kamada, Chikara Ohta, Takaharu Yaguchi, Kenji Oyama, Takenao Ohkawa, Ryo Nishide. ccnc 2021: 1-4 [doi]

Algebraic approach towards the exploitation of "softness": the input-output equation for morphological computationMizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima. ijrr, 40(1), 2021. [doi]

2020

Deep Energy-based Modeling of Discrete-Time PhysicsTakashi Matsubara, Ai Ishikawa, Takaharu Yaguchi. nips 2020: [doi]

2018

Mass-Spring Damper Array as a Mechanical Medium for ComputationYuki Yamanaka, Takaharu Yaguchi, Kohei Nakajima, Helmut Hauser. icann 2018: 781-794 [doi]

2016

Application of the variational principle to deriving energy-preserving schemes for the Hamilton equationAi Ishikawa, Takaharu Yaguchi. jsiaml, 8:53-56, 2016. [doi]

2015

Geometric investigation of the discrete gradient method for the Webster equation with a weighted inner productAi Ishikawa, Takaharu Yaguchi. jsiaml, 7:17-20, 2015. [doi]

2012

A conservative compact finite difference scheme for the KdV equationHiroki Kanazawa, Takayasu Matsuo, Takaharu Yaguchi. jsiaml, 4:5-8, 2012. [doi]

Numerical integration of the Ostrovsky equation based on its geometric structuresYuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo. jcphy, 231(14):4542-4559, 2012. [doi]

The discrete variational derivative method based on discrete differential formsTakaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara. jcphy, 231(10):3963-3986, 2012. [doi]

2011

A multi-symplectic integration of the Ostrovsky equationYuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo. jsiaml, 3:41-44, 2011. [doi]

2010

An extension of the discrete variational method to nonuniform gridsTakaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara. jcphy, 229(11):4382-4423, 2010. [doi]

Conservative numerical schemes for the Ostrovsky equationTakaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara. jcam, 234(4):1036-1048, 2010. [doi]

2006

Voronoi Random FieldsTakaharu Yaguchi. isvd 2006: 66-75 [doi]

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