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ORCIDYuto Miyatake
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2020 – today
- 2024
[j23]Naoki Marumo
, Takeru Matsuda, Yuto Miyatake:
Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. 147: 108833 (2024)- [j22]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): 1019-1020 (2024) - [j21]Yuto Miyatake:
A new family of fourth-order energy-preserving integrators. Numer. Algorithms 96(3): 1269-1293 (2024) - [j20]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): 10526-10538 (2024) - [c7]Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake:
Lyapunov-Stable Deep Equilibrium Models. AAAI 2024: 11615-11623 - [c6]Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata:
Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure. IJCAI 2024: 3872-3880 - [c5]Soramichi Akiyama, Ryota Shioya, Yuto Miyatake, Tongxin Yang:
Error Distribution Estimation for Fixed-point Arithmetic using Program Derivatives. ISQED 2024: 1-9 - [i19]Haoyu Chu, Yuto Miyatake, Wenjun Cui, Shikui Wei, Daisuke Furihata:
Structure-Preserving Physics-Informed Neural Networks With Energy or Lyapunov Structure. CoRR abs/2401.04986 (2024) - [i18]John C. Butcher, Taketomo Mitsui, Yuto Miyatake, Shun Sato:
On the B-series composition theorem. CoRR abs/2409.08533 (2024) - [i17]Yuto Miyatake, Kaoru Irie, Takeru Matsuda:
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression. CoRR abs/2411.08338 (2024) - 2023
- [j19]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: 121-124 (2023) - [d1]Yuto Miyatake, Kotaro Makino, Junji Tominaga, Noriyuki Miyata, Takashi Nakano, Makoto Okano, Kasidit Toprasertpong, Shinichi Takagi, Mitsuru Takenaka:
Optical constants of Ge2Sb2Te3S2. IEEE DataPort, 2023
- [i16]Yuto Miyatake:
A new family of fourth-order energy-preserving integrators. CoRR abs/2305.11514 (2023) - [i15]Naoki Marumo, Takeru Matsuda, Yuto Miyatake:
Modelling the discretization error of initial value problems using the Wishart distribution. CoRR abs/2306.04084 (2023) - [i14]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 abs/2306.04941 (2023) - 2022
- [j18]Kosuke Akita, Yuto Miyatake, Daisuke Furihata:
Composing a surrogate observation operator for sequential data assimilation. JSIAM Lett. 14: 123-126 (2022) - [c4]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: 1-3 - [i13]Kosuke Akita, Yuto Miyatake, Daisuke Furihata:
Composing a surrogate observation operator for sequential data assimilation. CoRR abs/2201.12514 (2022) - [i12]Shun Sato, Yuto Miyatake, John C. Butcher:
High-order linearly implicit schemes conserving quadratic invariants. CoRR abs/2203.00944 (2022) - [i11]Tomoya Kemmochi, Yuto Miyatake, Koya Sakakibara:
Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities. CoRR abs/2208.00675 (2022) - 2021
- [j17]Takeru Matsuda, Yuto Miyatake:
Generalization of partitioned Runge-Kutta methods for adjoint systems. J. Comput. Appl. Math. 388: 113308 (2021) - [j16]Koya Sakakibara, Yuto Miyatake:
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. J. Comput. Phys. 424: 109857 (2021) - [j15]Takeru Matsuda, Yuto Miyatake:
Estimation of Ordinary Differential Equation Models with Discretization Error Quantification. SIAM/ASA J. Uncertain. Quantification 9(1): 302-331 (2021) - [c3]Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi:
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. NeurIPS 2021: 20772-20784 - [c2]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: 1-3 - [i10]Takashi Matsubara, Yuto Miyatake, Takaharu Yaguchi:
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory. CoRR abs/2102.09750 (2021) - [i9]Takeru Matsuda, Yuto Miyatake:
Generalized nearly isotonic regression. CoRR abs/2108.13010 (2021) - [i8]Yuto Miyatake, Tomohiro Sogabe:
Adaptive projected SOR algorithms for nonnegative quadratic programming. CoRR abs/2112.05311 (2021) - 2020
- [j14]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: 112396 (2020) - [j13]Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang:
Adaptive SOR methods based on the Wolfe conditions. Numer. Algorithms 84(1): 117-132 (2020) - [c1]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: 1-4 - [i7]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 abs/2003.04345 (2020) - [i6]Takeru Matsuda, Yuto Miyatake:
Generalization of partitioned Runge-Kutta methods for adjoint systems. CoRR abs/2003.09789 (2020) - [i5]Fuminori Tatsuoka, Tomohiro Sogabe, Yuto Miyatake, Tomoya Kemmochi, Shao-Liang Zhang:
Computing the matrix fractional power based on the double exponential formula. CoRR abs/2012.01667 (2020)
2010 – 2019
- 2019
- [j12]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: 7-13 (2019) - [j11]Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang:
Modified Strang splitting for semilinear parabolic problems. JSIAM Lett. 11: 77-80 (2019) - [i4]Takeru Matsuda, Yuto Miyatake:
Estimation of ordinary differential equation models with discretization error quantification. CoRR abs/1907.10565 (2019) - [i3]Shin-Ichi Ito, Takeru Matsuda, Yuto Miyatake:
Adjoint-based exact Hessian-vector multiplication using symplectic Runge-Kutta methods. CoRR abs/1910.06524 (2019) - [i2]Kosuke Nakano, Tomoya Kemmochi, Yuto Miyatake, Tomohiro Sogabe, Shao-Liang Zhang:
Modified Strang splitting for semilinear parabolic problems. CoRR abs/1910.06525 (2019) - [i1]Koya Sakakibara, Yuto Miyatake:
A fully discrete curve-shortening polygonal evolution law for moving boundary problems. CoRR abs/1912.00545 (2019) - 2018
- [j10]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: 51-56 (2018) - [j9]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: 58-69 (2018) - [j8]Dongjin Lee, Takeo Hoshi, Tomohiro Sogabe, Yuto Miyatake, Shao-Liang Zhang:
Solution of the k-th eigenvalue problem in large-scale electronic structure calculations. J. Comput. Phys. 371: 618-632 (2018) - 2016
- [j7]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): 1993-2013 (2016) - 2015
- [j6]Yuto Miyatake:
A derivation of energy-preserving exponentially-fitted integrators for Poisson systems. Comput. Phys. Commun. 187: 156-161 (2015) - [j5]Yuto Miyatake, Takayasu Matsuo:
A note on the adaptive conservative/dissipative discretization for evolutionary partial differential equations. J. Comput. Appl. Math. 274: 79-87 (2015) - 2012
- [j4]Yuto Miyatake, Takayasu Matsuo:
Conservative finite difference schemes for the Degasperis-Procesi equation. J. Comput. Appl. Math. 236(15): 3728-3740 (2012) - [j3]Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo:
Numerical integration of the Ostrovsky equation based on its geometric structures. J. Comput. Phys. 231(14): 4542-4559 (2012) - 2011
- [j2]Yuto Miyatake, Takayasu Matsuo, Daisuke Furihata:
Conservative finite difference schemes for the modified Camassa-Holm equation. JSIAM Lett. 3: 37-40 (2011) - [j1]Yuto Miyatake, Takaharu Yaguchi, Takayasu Matsuo:
A multi-symplectic integration of the Ostrovsky equation. JSIAM Lett. 3: 41-44 (2011)
Coauthor Index
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