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20042023
most citedApproximating Stochastic Evolution Equations with Additive White and Rough Noises

49 citations · 150 across the 15 of their papers we have counts for

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11 papers · 1 filter

math.NA2023★ 1 cited

A pseudo-reversible normalizing flow for stochastic dynamical systems with various initial distributions

Minglei Yang, Pengjun Wang, Diego del-Castillo-Negrete +2

We present a pseudo-reversible normalizing flow method for efficiently generating samples of the state of a stochastic differential equation (SDE) with different initial distributi…

math.NA2022★ 1 cited

Convergence Analysis for Training Stochastic Neural Networks via Stochastic Gradient Descent

Richard Archibald, Feng Bao, Yanzhao Cao +1

In this paper, we carry out numerical analysis to prove convergence of a novel sample-wise back-propagation method for training a class of stochastic neural networks (SNNs). The st…

math.NA2022

Numerical analysis of a time discretized method for nonlinear filtering problem with Lévy process observations

Fengshan Zhang, Yongkui Zou, Shimin Chai +1

In this paper, we consider a nonlinear filtering model with observations driven by correlated Wiener processes and point processes. We first derive a Zakai equation whose solution…

math.NA2022★ 1 cited

A probabilistic scheme for semilinear nonlocal diffusion equations with volume constraints

Minglei Yang, Guannan Zhang, Diego Del-Castillo-Negrete +1

This work presents a probabilistic scheme for solving semilinear nonlocal diffusion equations with volume constraints and integrable kernels. The nonlocal model of interest is defi…

math.NA2022

Fast and accurate domain decomposition methods for reduced fracture models with nonconforming time grids

Phuoc-Toan Huynh, Yanzhao Cao, Thi-Thao-Phuong Hoang

This paper is concerned with the numerical solution of compressible fluid flow in a fractured porous medium. The fracture represents a fast pathway (i.e., with high permeability) a…

math.NA2021★ 1 cited

Solving Backward Doubly Stochastic Differential Equations through Splitting Schemes

Feng Bao, Yanzhao Cao, He Zhang

A splitting scheme for backward doubly stochastic differential equations is proposed. The main idea is to decompose a backward doubly stochastic differential equation into a backwa…