Takaharu Yaguchi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Statistical Learning Theory

Top Venues

Publications

Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata, Naonori Ueda
Neural Operators Meet Energy-based Theory: Operator Learning for Hamiltonian and Dissipative PDEs. CoRR (2024)
Takashi Matsubara, Takaharu Yaguchi
Good Lattice Training: Physics-Informed Neural Networks Accelerated by Number Theory. CoRR (2023)
Takashi Matsubara, Takaharu Yaguchi
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR (2023)
Takashi Matsubara, Takaharu Yaguchi
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. CoRR (2022)
Shunpei Terakawa, Takaharu Yaguchi
Symplecticity of coupled Hamiltonian systems. JSIAM Lett. 14 (2022)
Hiroaki Bando, Shizuo Kaji, Takaharu Yaguchi
Causal inference for empirical dynamical systems based on persistent homology. JSIAM Lett. 14 (2022)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
KAM Theory Meets Statistical Learning Theory: Hamiltonian Neural Networks with Non-zero Training Loss. AAAI (2022)
Nobuki Takayama, Takaharu Yaguchi, Yi Zhang
Comparison of Numerical Solvers for Differential Equations for Holonomic Gradient Method in Statistics. CoRR (2021)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS (2021)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Universal Approximation Properties of Neural Networks for Energy-Based Physical Systems. CoRR (2021)
Takuto Jikyo, Tomio Kamada, Chikara Ohta, Takaharu Yaguchi, Kenji Oyama, Takenao Ohkawa, Ryo Nishide
Error Factor Analysis of DNN-based Fingerprinting Localization through Virtual Space. CCNC (2021)
Shunpei Terakawa, Takaharu Yaguchi
Symplecticity of coupled Hamiltonian systems. CoRR (2021)
Shunpei Terakawa, Takashi Matsubara, Takaharu Yaguchi
An Error Analysis Framework for Neural Network Modeling of Dynamical Systems. CoRR (2021)
Mizuka Komatsu, Takaharu Yaguchi, Kohei Nakajima
Algebraic approach towards the exploitation of "softness": the input-output equation for morphological computation. Int. J. Robotics Res. 40 (1) (2021)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR (2021)
Yuhan Chen, Hideki Sano, Masashi Wakaiki, Takaharu Yaguchi
Secret Communication Systems Using Chaotic Wave Equations with Neural Network Boundary Conditions. Entropy 23 (7) (2021)
Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems. NeurIPS (2021)
Mizuka Komatsu, Takaharu Yaguchi
Method for estimating hidden structures determined by unidentifiable state-space models and time-series data based on the Groebner basis. CoRR (2020)
Takashi Matsubara, Ai Ishikawa, Takaharu Yaguchi
Deep Energy-based Modeling of Discrete-Time Physics. NeurIPS (2020)
Ai Ishikawa, Takaharu Yaguchi
Automatic discrete differentiation and its applications. CoRR (2019)
Yuki Yamanaka, Takaharu Yaguchi, Kohei Nakajima, Helmut Hauser
Mass-Spring Damper Array as a Mechanical Medium for Computation. ICANN (3) (2018)
Ai Ishikawa, Takaharu Yaguchi
Application of the variational principle to deriving energy-preserving schemes for the Hamilton equation. JSIAM Lett. 8 (2016)
Ai Ishikawa, Takaharu Yaguchi
Geometric investigation of the discrete gradient method for the Webster equation with a weighted inner product. JSIAM Lett. 7 (2015)
Takaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara
The discrete variational derivative method based on discrete differential forms. J. Comput. Phys. 231 (10) (2012)
Hiroki Kanazawa, Takayasu Matsuo, Takaharu Yaguchi
A conservative compact finite difference scheme for the KdV equation. JSIAM Lett. 4 (2012)
Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo
Numerical integration of the Ostrovsky equation based on its geometric structures. J. Comput. Phys. 231 (14) (2012)
Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo
A multi-symplectic integration of the Ostrovsky equation. JSIAM Lett. 3 (2011)
Takaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara
An extension of the discrete variational method to nonuniform grids. J. Comput. Phys. 229 (11) (2010)
Takaharu Yaguchi, Takayasu Matsuo, Masaaki Sugihara
Conservative numerical schemes for the Ostrovsky equation. J. Comput. Appl. Math. 234 (4) (2010)
Takaharu Yaguchi
Voronoi Random Fields. ISVD (2006)