Yuto Miyatake - RankMe

51 papers A* 3Journal 43Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An error control framework for computing the exponential of matrices arising from the finite element discretization. CoRR Fuminori Tatsuoka, Yuto Miyatake, Tomohiro Sogabe
2025	—	`conf`	Phase-Error-Correctable 4×4 Programmable Photonic Integrated Circuit Enabled by Dual-Functional Si PIN Waveguides as Phase Shifter and Transparent Power Monitor. ECOC Tomohiro Akazawa, Rui Tang, Yuto Miyatake, Makoto Okano, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka
2024	J	`jnl`	A new family of fourth-order energy-preserving integrators. Numer. Algorithms Yuto Miyatake
2024	J	`jnl`	ANODE 2023 In honour of John Butcher's 90th birthday. Numer. Algorithms Kevin Burrage, Zdzislaw Jackiewicz, Bernd Krauskopf, Yuto Miyatake, Helmut Podhaisky, Mayya Tokman
2024	—	`conf`	Error Distribution Estimation for Fixed-point Arithmetic using Program Derivatives. ISQED Soramichi Akiyama, Ryota Shioya, Yuto Miyatake, Tongxin Yang
2024	A*	`conf`	Lyapunov-Stable Deep Equilibrium Models. AAAI Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake
2024	J	`jnl`	Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. Naoki Marumo, Takeru Matsuda, Yuto Miyatake
2024	J	`jnl`	On the B-series composition theorem. CoRR John C. Butcher, Taketomo Mitsui, Yuto Miyatake, Shun Sato
2024	J	`jnl`	Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression. CoRR Yuto Miyatake, Kaoru Irie, Takeru Matsuda
2024	J	`jnl`	Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure. CoRR Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata
2024	A*	`conf`	Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure. IJCAI Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata
2024	J	`jnl`	The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations. IEEE Trans. Neural Networks Learn. Syst. Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2023	J	`jnl`	A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics. CoRR Tomoya Kitano, Yuto Miyatake, Daisuke Furihata
2023	J	`jnl`	A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics. JSIAM Lett. Tomoya Kitano, Yuto Miyatake, Daisuke Furihata
2023	J	`jnl`	A new family of fourth-order energy-preserving integrators. CoRR Yuto Miyatake
2023	J	`jnl`	Modelling the discretization error of initial value problems using the Wishart distribution. CoRR Naoki Marumo, Takeru Matsuda, Yuto Miyatake
2022	J	`jnl`	Composing a surrogate observation operator for sequential data assimilation. CoRR Kosuke Akita, Yuto Miyatake, Daisuke Furihata
2022	J	`jnl`	Composing a surrogate observation operator for sequential data assimilation. JSIAM Lett. Kosuke Akita, Yuto Miyatake, Daisuke Furihata
2022	J	`jnl`	High-order linearly implicit schemes conserving quadratic invariants. CoRR Shun Sato, Yuto Miyatake, John C. Butcher
2022	—	`conf`	III-V/Si hybrid integration for scalable optical switching and computing. OECC/PSC 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
2022	J	`jnl`	Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities. CoRR Tomoya Kemmochi, Yuto Miyatake, Koya Sakakibara
2021	J	`jnl`	A fully discrete curve-shortening polygonal evolution law for moving boundary problems. J. Comput. Phys. Koya Sakakibara, Yuto Miyatake
2021	J	`jnl`	Adaptive projected SOR algorithms for nonnegative quadratic programming. CoRR Yuto Miyatake, Tomohiro Sogabe
2021	J	`jnl`	Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. SIAM/ASA J. Uncertain. Quantification Takeru Matsuda, Yuto Miyatake
2021	J	`jnl`	Generalization of partitioned Runge-Kutta methods for adjoint systems. J. Comput. Appl. Math. Takeru Matsuda, Yuto Miyatake
2021	J	`jnl`	Generalized nearly isotonic regression. CoRR Takeru Matsuda, Yuto Miyatake
2021	A*	`conf`	Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2021	J	`jnl`	Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi
2021	—	`conf`	Thermo-optic Mach-Zehnder Interferometer Integrated with Si PN Diode Switch for Bipolar Optical Phase Control. OFC Hanzhi Tang, Shuhei Ohno, Yuto Miyatake, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka
2020	J	`jnl`	A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics. CoRR Tsubasa Sakai, Shuhei Kudo, Hiroto Imachi, Yuto Miyatake, Takeo Hoshi, Yusaku Yamamoto
2020	J	`jnl`	Adaptive SOR methods based on the Wolfe conditions. Numer. Algorithms Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
2020	J	`jnl`	Algorithms for the computation of the matrix logarithm based on the double exponential formula. J. Comput. Appl. Math. Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
2020	J	`jnl`	Computing the matrix fractional power based on the double exponential formula. CoRR Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang
2020	J	`jnl`	Generalization of partitioned Runge-Kutta methods for adjoint systems. CoRR Takeru Matsuda, Yuto Miyatake
2020	—	`conf`	Mid-infrared Non-volatile Compact Optical Phase Shifter Based on Ge2Sb2 Te5. ECOC 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
2019	J	`jnl`	A fully discrete curve-shortening polygonal evolution law for moving boundary problems. CoRR Koya Sakakibara, Yuto Miyatake
2019	J	`jnl`	Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. CoRR Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake
2019	J	`jnl`	Estimation of ordinary differential equation models with discretization error quantification. CoRR Takeru Matsuda, Yuto Miyatake
2019	J	`jnl`	Modified Strang splitting for semilinear parabolic problems. CoRR Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
2019	J	`jnl`	Modified Strang splitting for semilinear parabolic problems. JSIAM Lett. Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
2019	J	`jnl`	Relation between the T-congruence Sylvester equation and the generalized Sylvester equation. Appl. Math. Lett. Yuki Satake, Masaya Oozawa, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang
2018	J	`jnl`	On a relationship between the T-congruence Sylvester equation and the Lyapunov equation. J. Comput. Appl. Math. Masaya Oozawa, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
2018	J	`jnl`	On the equivalence between SOR-type methods for linear systems and the discrete gradient methods for gradient systems. J. Comput. Appl. Math. Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang
2018	J	`jnl`	Solution of the J. Comput. Phys. Dongjin Lee, Takeo Hoshi, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang
2016	J	`jnl`	A Characterization of Energy-Preserving Methods and the Construction of Parallel Integrators for Hamiltonian Systems. SIAM J. Numer. Anal. Yuto Miyatake, John C. Butcher
2015	J	`jnl`	A derivation of energy-preserving exponentially-fitted integrators for Poisson systems. Comput. Phys. Commun. Yuto Miyatake
2015	J	`jnl`	A note on the adaptive conservative/dissipative discretization for evolutionary partial differential equations. J. Comput. Appl. Math. Yuto Miyatake, Takayasu Matsuo
2012	J	`jnl`	Conservative finite difference schemes for the Degasperis-Procesi equation. J. Comput. Appl. Math. Yuto Miyatake, Takayasu Matsuo
2012	J	`jnl`	Numerical integration of the Ostrovsky equation based on its geometric structures. J. Comput. Phys. Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo
2011	J	`jnl`	A multi-symplectic integration of the Ostrovsky equation. JSIAM Lett. Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo
2011	J	`jnl`	Conservative finite difference schemes for the modified Camassa-Holm equation. JSIAM Lett. Yuto Miyatake, Takayasu Matsuo, Daisuke Furihata