Yuto Miyatake

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Carnegie Mellon University

Topic Detection

Double Exponential

Top Venues

J. Comput. Appl. Math.

Numer. Algorithms

Publications

Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure. CoRR (2024)
Kevin Burrage, Zdzislaw Jackiewicz, Bernd Krauskopf, Yuto Miyatake, Helmut Podhaisky, Mayya Tokman
ANODE 2023 In honour of John Butcher's 90th birthday. Numer. Algorithms 96 (3) (2024)
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)
Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake
Lyapunov-Stable Deep Equilibrium Models. AAAI (2024)
Yuto Miyatake
A new family of fourth-order energy-preserving integrators. Numer. Algorithms 96 (3) (2024)
Soramichi Akiyama, Ryota Shioya, Yuto Miyatake, Tongxin Yang
Error Distribution Estimation for Fixed-point Arithmetic using Program Derivatives. ISQED (2024)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. 147 (2024)
Yuto Miyatake
A new family of fourth-order energy-preserving integrators. CoRR (2023)
Tomoya Kitano, Yuto Miyatake, Daisuke Furihata
A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics. CoRR (2023)
Tomoya Kitano, Yuto Miyatake, Daisuke Furihata
A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics. JSIAM Lett. 15 (2023)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. CoRR (2023)
Kosuke Akita, Yuto Miyatake, Daisuke Furihata
Composing a surrogate observation operator for sequential data assimilation. CoRR (2022)
Kosuke Akita, Yuto Miyatake, Daisuke Furihata
Composing a surrogate observation operator for sequential data assimilation. JSIAM Lett. 14 (2022)
Tomoya Kemmochi, Yuto Miyatake, Koya Sakakibara
Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities. CoRR (2022)
Shun Sato, Yuto Miyatake, John C. Butcher
High-order linearly implicit schemes conserving quadratic invariants. CoRR (2022)
Mitsuru Takenaka, Hanzhi Tang, Kouhei Watanabe, Takaya Ochiai, Tomohiro Akazawa, Yuto Miyatake, Shuhei Ohno, Kei Sumita, Stéphane Monfray, Frédéric Boeuf, Rui Tang, Kasidit Toprasertpong, Shinichi Takagi
III-V/Si hybrid integration for scalable optical switching and computing. OECC/PSC (2022)
Takeru Matsuda, Yuto Miyatake
Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Hanzhi Tang, Shuhei Ohno, Yuto Miyatake, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka
Thermo-optic Mach-Zehnder Interferometer Integrated with Si PN Diode Switch for Bipolar Optical Phase Control. OFC (2021)
Yuto Miyatake, Tomohiro Sogabe
Adaptive projected SOR algorithms for nonnegative quadratic programming. CoRR (2021)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS (2021)
Takeru Matsuda, Yuto Miyatake
Generalization of partitioned Runge-Kutta methods for adjoint systems. J. Comput. Appl. Math. 388 (2021)
Koya Sakakibara, Yuto Miyatake
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. J. Comput. Phys. 424 (2021)
Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR (2021)
Takeru Matsuda, Yuto Miyatake
Generalized nearly isotonic regression. CoRR (2021)
Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang
Computing the matrix fractional power based on the double exponential formula. CoRR (2020)
Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto
A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. CoRR (2020)
Yuto Miyatake, Chong Pei Ho, Prakash Pitchappa, Ranjan Singh, Kotaro Makino, Junji Tominaga, Noriyuki Miyata, Takashi Nakano, Naoki Sekine, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka
Mid-infrared Non-volatile Compact Optical Phase Shifter Based on Ge2Sb2 Te5. ECOC (2020)
Takeru Matsuda, Yuto Miyatake
Generalization of partitioned Runge-Kutta methods for adjoint systems. CoRR (2020)
Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
Algorithms for the computation of the matrix logarithm based on the double exponential formula. J. Comput. Appl. Math. 373 (2020)
Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
Adaptive SOR methods based on the Wolfe conditions. Numer. Algorithms 84 (1) (2020)
Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
Modified Strang splitting for semilinear parabolic problems. JSIAM Lett. 11 (2019)
Takeru Matsuda, Yuto Miyatake
Estimation of ordinary differential equation models with discretization error quantification. CoRR (2019)
Yuki Satake, Masaya Oozawa, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang
Relation between the T-congruence Sylvester equation and the generalized Sylvester equation. Appl. Math. Lett. 96 (2019)
Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake
Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. CoRR (2019)
Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
Modified Strang splitting for semilinear parabolic problems. CoRR (2019)
Koya Sakakibara, Yuto Miyatake
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. CoRR (2019)
Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
On the equivalence between SOR-type methods for linear systems and the discrete gradient methods for gradient systems. J. Comput. Appl. Math. 342 (2018)
Dongjin Lee, Takeo Hoshi, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
-th eigenvalue problem in large-scale electronic structure calculations. J. Comput. Phys. 371 (2018)
Masaya Oozawa, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
On a relationship between the T-congruence Sylvester equation and the Lyapunov equation. J. Comput. Appl. Math. 329 (2018)
Yuto Miyatake, John C. Butcher
A Characterization of Energy-Preserving Methods and the Construction of Parallel Integrators for Hamiltonian Systems. SIAM J. Numer. Anal. 54 (3) (2016)
Yuto Miyatake, Takayasu Matsuo
A note on the adaptive conservative/dissipative discretization for evolutionary partial differential equations. J. Comput. Appl. Math. 274 (2015)
Yuto Miyatake
A derivation of energy-preserving exponentially-fitted integrators for Poisson systems. Comput. Phys. Commun. 187 (2015)
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, Takayasu Matsuo
Conservative finite difference schemes for the Degasperis-Procesi equation. J. Comput. Appl. Math. 236 (15) (2012)
Yuto Miyatake, Takayasu Matsuo, Daisuke Furihata
Conservative finite difference schemes for the modified Camassa-Holm equation. JSIAM Lett. 3 (2011)
Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo
A multi-symplectic integration of the Ostrovsky equation. JSIAM Lett. 3 (2011)