8 citations · 12 across the 5 of their papers we have counts for
5 papers
Learning Lévy density via adaptive RKHS regression with bi-level optimization
Luxuan Yang, Fei Lu, Ting Gao +2
We propose a nonparametric method to learn the Lévy density from probability density data governed by a nonlocal Fokker-Planck equation. We recast the problem as identifying the ke…
Multi-task Meta Label Correction for Time Series Prediction
Luxuan Yang, Ting Gao, Wei Wei +3
Time series classification faces two unavoidable problems. One is partial feature information and the other is poor label quality, which may affect model performance. To address th…
Neural network stochastic differential equation models with applications to financial data forecasting
Luxuan Yang, Ting Gao, Yubin Lu +2
In this article, we employ a collection of stochastic differential equations with drift and diffusion coefficients approximated by neural networks to predict the trend of chaotic t…
Upper semi-continuity of random attractors and existence of invariant measures for nonlocal stochastic Swift-Hohenberg equation with multiplicative noise
Jintao Wang, Chunqiu Li, Lu Yang +1
In this paper, we mainly study the long-time dynamical behaviors of 2D nonlocal stochastic Swift-Hohenberg equations with multiplicative noise from two perspectives. Firstly, by ad…
Recurrent Solutions of a Nonautonomous Modified Swift-Hohenberg Equation
Jintao Wang, Lu Yang, Jinqiao Duan
We consider recurrent solutions of the nonautonomous modified Swift-Hohenberg equation We employ Conley index theory to show that, if…