Yuto Miyatake
Orcid: 0000-0003-1309-1418
According to our database1,
Yuto Miyatake
authored at least 40 papers
between 2011 and 2024.
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Online presence:
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Bibliography
2024
The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations.
IEEE Trans. Neural Networks Learn. Syst., August, 2024
Numer. Algorithms, July, 2024
Modelling the discretization error of initial value problems using the Wishart distribution.
Appl. Math. Lett., January, 2024
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression.
CoRR, 2024
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics.
JSIAM Lett., 2023
2022
JSIAM Lett., 2022
Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities.
CoRR, 2022
Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022
2021
Estimation of Ordinary Differential Equation Models with Discretization Error Quantification.
SIAM/ASA J. Uncertain. Quantification, 2021
A fully discrete curve-shortening polygonal evolution law for moving boundary problems.
J. Comput. Phys., 2021
J. Comput. Appl. Math., 2021
Thermo-optic Mach-Zehnder Interferometer Integrated with Si PN Diode Switch for Bipolar Optical Phase Control.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Algorithms for the computation of the matrix logarithm based on the double exponential formula.
J. Comput. Appl. Math., 2020
CoRR, 2020
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics.
CoRR, 2020
Proceedings of the European Conference on Optical Communications, 2020
2019
Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods.
CoRR, 2019
Relation between the T-congruence Sylvester equation and the generalized Sylvester equation.
Appl. Math. Lett., 2019
2018
Solution of the <i>k</i>-th eigenvalue problem in large-scale electronic structure calculations.
J. Comput. Phys., 2018
On a relationship between the T-congruence Sylvester equation and the Lyapunov equation.
J. Comput. Appl. Math., 2018
On the equivalence between SOR-type methods for linear systems and the discrete gradient methods for gradient systems.
J. Comput. Appl. Math., 2018
2016
A Characterization of Energy-Preserving Methods and the Construction of Parallel Integrators for Hamiltonian Systems.
SIAM J. Numer. Anal., 2016
2015
A note on the adaptive conservative/dissipative discretization for evolutionary partial differential equations.
J. Comput. Appl. Math., 2015
A derivation of energy-preserving exponentially-fitted integrators for Poisson systems.
Comput. Phys. Commun., 2015
2012
J. Comput. Phys., 2012
J. Comput. Appl. Math., 2012
2011
JSIAM Lett., 2011