activity
20152026
most citedOn Numerical Integration in Neural Ordinary Differential Equations

12 citations · 32 across the 12 of their papers we have counts for

collaborators

12 papers

math.NA2026

A novel class of high-order uniformly accurate exponential integrators with local linear extension for the charged-particle dynamics under strong magnetic field

Lina Wang, Bin Wang, Beibei Zhu

In this paper, we develop a novel class of high-order uniformly accurate exponential integrators for charged-particle dynamics under a strong magnetic field. The small parameter $0…

math.NA2023

Implementation and (Inverse Modified) Error Analysis for implicitly-templated ODE-nets

Aiqing Zhu, Tom Bertalan, Beibei Zhu +2

We focus on learning unknown dynamics from data using ODE-nets templated on implicit numerical initial value problem solvers. First, we perform Inverse Modified error analysis of t…

math.NA2022★ 6 cited

Explicit K-symplectic methods for nonseparable non-canonical Hamiltonian systems

Beibei Zhu, Lun Ji, Aiqing Zhu +1

We propose efficient numerical methods for nonseparable non-canonical Hamiltonian systems which are explicit, K-symplectic in the extended phase space with long time energy conserv…

cs.LG2022★ 12 cited

On Numerical Integration in Neural Ordinary Differential Equations

Aiqing Zhu, Pengzhan Jin, Beibei Zhu +1

The combination of ordinary differential equations and neural networks, i.e., neural ordinary differential equations (Neural ODE), has been widely studied from various angles. Howe…

math.NA2022★ 3 cited

Poisson Integrators based on splitting method for Poisson systems

Beibei Zhu, Lun Ji, Aiqing Zhu +1

We propose Poisson integrators for the numerical integration of separable Poisson systems. We analyze three situations in which the Poisson systems are separated in three ways and…

cs.LG2022

VPNets: Volume-preserving neural networks for learning source-free dynamics

Aiqing Zhu, Beibei Zhu, Jiawei Zhang +2

We propose volume-preserving networks (VPNets) for learning unknown source-free dynamical systems using trajectory data. We propose three modules and combine them to obtain two net…

math.NA2019★ 10 cited

Spectrally accurate space-time solution of Manakov systems

Luigi Barletti, Luigi Brugnano, Yifa Tang +1

In this paper, we study the numerical solution of Manakov systems by using a spectrally accurate Fourier decomposition in space, coupled with a spectrally accurate time integration…

math.DS2019

Word-series high-order averaging of highly oscillatory differential equations with delay

J. M. Sanz-Serna, Beibei Zhu

We show that, for appropriate combinations of the values of the delay and the forcing frequency, it is possible to obtain easily high-order averaged versions of periodically forced…

math.NA2018

High-order stroboscopic averaging methods for highly oscillatory delay problems

M. P. Calvo, J. M. Sanz-Serna, Beibei Zhu

We introduce and analyze a family of heterogeneous multiscale methods for the numerical integration of highly oscillatory systems of delay differential equations with constant dela…

nlin.CD2017★ 1 cited

Bogdanov-Takens resonance in time-delayed systems

Mattia Coccolo, BeiBei Zhu, Miguel A. F. Sanjuán +1

We analyze the oscillatory dynamics of a time-delayed dynamical system subjected to a periodic external forcing. We show that, for certain values of the delay, the response can be…

math.NA2017

A stroboscopic averaging algorithm for highly oscillatory delay problems

J. M. Sanz-Serna, Beibei Zhu

We propose and analyze a heterogenous multiscale method for the efficient integration of constant-delay differential equations subject to fast periodic forcing. The stroboscopic av…

math.SG2015

Symplectic methods for non-canonical Hamiltonian systems

Beibei Zhu, Ruili Zhang, Yifa Tang +1

We show that, when applied to any non-canonical Hamiltonian system, any integrator that is symplectic for canonical Hamiltonian problems is actually conjugate symplectic for the no…