Yuto Miyatake | DeepAI

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∙ 06/08/2023

A modified model for topic detection from a corpus and a new metric evaluating the understandability of topics

This paper presents a modified neural model for topic detection from a c...

0 Tomoya Kitano, et al. ∙

∙ 06/07/2023

Modelling the discretization error of initial value problems using the Wishart distribution

This paper presents a new discretization error quantification method for...

0 Naoki Marumo, et al. ∙

∙ 05/19/2023

A new family of fourth-order energy-preserving integrators

For Hamiltonian systems with non-canonical structure matrices, a new fam...

0 Yuto Miyatake, et al. ∙

∙ 08/01/2022

Structure-preserving numerical methods for constrained gradient flows of planar closed curves with explicit tangential velocities

In this paper, we consider numerical approximation of constrained gradie...

0 Tomoya Kemmochi, et al. ∙

∙ 03/02/2022

High-order linearly implicit schemes conserving quadratic invariants

In this paper, we propose linearly implicit and arbitrary high-order con...

0 Shun Sato, et al. ∙

∙ 01/29/2022

Composing a surrogate observation operator for sequential data assimilation

In data assimilation, state estimation is not straightforward when the o...

0 Kosuke Akita, et al. ∙

∙ 12/10/2021

Adaptive projected SOR algorithms for nonnegative quadratic programming

The optimal value of the projected successive overrelaxation (PSOR) meth...

0 Yuto Miyatake, et al. ∙

∙ 08/30/2021

Generalized nearly isotonic regression

The problem of estimating a piecewise monotone sequence of normal means ...

0 Takeru Matsuda, et al. ∙

∙ 02/19/2021

Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory

A neural network model of a differential equation, namely neural ODE, ha...

0 Takashi Matsubara, et al. ∙

∙ 12/03/2020

Computing the matrix fractional power based on the double exponential formula

Two quadrature-based algorithms for computing the matrix fractional powe...

0 Fuminori Tatsuoka, et al. ∙

∙ 03/22/2020

Generalization of partitioned Runge–Kutta methods for adjoint systems

This study computes the gradient of a function of numerical solutions of...

0 Takeru Matsuda, et al. ∙

∙ 03/09/2020

A Parallelizable Energy-Preserving Integrator MB4 and Its Application to Quantum-Mechanical Wavepacket Dynamics

In simulating physical systems, conservation of the total energy is ofte...

0 Tsubasa Sakai, et al. ∙

∙ 12/02/2019

A fully discrete curve-shortening polygonal evolution law for moving boundary problems

We consider the numerical integration of moving boundary problems with t...

0 Koya Sakakibara, et al. ∙

∙ 10/15/2019

Modified Strang splitting for semilinear parabolic problems

We consider applying the Strang splitting to semilinear parabolic proble...

0 Kosuke Nakano, et al. ∙

∙ 10/15/2019

Adjoint-based exact Hessian-vector multiplication using symplectic Runge–Kutta methods

We consider a function of the numerical solution of an initial value pro...

0 Shin-ichi Ito, et al. ∙

∙ 07/24/2019

Estimation of ordinary differential equation models with discretization error quantification

We consider estimation of ordinary differential equation (ODE) models fr...

0 Takeru Matsuda, et al. ∙

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