activity
20172023
most citedGeneral Signature Kernels

8 citations · 15 across the 3 of their papers we have counts for

collaborators

8 papers

cs.LG2023

Deep Generative Modeling with Backward Stochastic Differential Equations

Xingcheng Xu

This paper proposes a novel deep generative model, called BSDE-Gen, which combines the flexibility of backward stochastic differential equations (BSDEs) with the power of deep neur…

math.PR2021★ 8 cited

General Signature Kernels

Thomas Cass, Terry Lyons, Xingcheng Xu

Suppose that and are two continuous bounded variation paths which take values in a finite-dimensional inner product space . Recent papers have introduced the truncated a…

math.PR2020★ 7 cited

Explicit solutions for a class of nonlinear backward stochastic differential equations and their nodal sets

Zengjing Chen, Shuhui Liu, Zhongmin Qian +1

In this paper, we investigate a class of nonlinear backward stochastic differential equations (BSDEs) arising from financial economics, and give specific information about the noda…

math.PR2018

Optimal probabilities and controls for reflecting diffusion processes

Zhongmin Qian, Xingcheng Xu

A solution to the optimal problem for determining vector fields which maximize (resp. minimize) the transition probabilities from one location to another for a class of reflecting…

math.PR2018

Lévy Area Analysis and Parameter Estimation for fOU Processes via Non-Geometric Rough Path Theory

Zhongmin Qian, Xingcheng Xu

This paper addresses the estimation problem of an unknown drift parameter matrix for a fractional Ornstein-Uhlenbeck process in a multi-dimensional setting. To tackle this problem,…

math.PR2018

Rough Path Renormalization from Stratonovich to Itô for Fractional Brownian Motion

Zhongmin Qian, Xingcheng Xu

This paper develops an Itô-type fractional pathwise integration theory for fractional Brownian motion with Hurst parameters \( H \in (\frac{1}{3}, \frac{1}{2}] \), using the Lyons'…