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20082023
most citedDGM: A deep learning algorithm for solving partial differential equations

2.3k citations · 2.7k across the 51 of their papers we have counts for

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Showing 2010Show all

6 papers · 1 filter

math.PR2010★ 56 cited

Large Deviations for Multiscale Diffusions via Weak Convergence Methods

Paul Dupuis, Konstantinos Spiliopoulos

We study the large deviations principle for locally periodic stochastic differential equations with small noise and fast oscillating coefficients. There are three possible regimes…

math.PR2010

Large Deviations Principle for a Large Class of One-Dimensional Markov Processes

Konstantinos Spiliopoulos

We study the large deviations principle for one dimensional, continuous, homogeneous, strong Markov processes that do not necessarily behave locally as a Wiener process. Any strong…

q-fin.RM2010★ 14 cited

Recovery Rates in investment-grade pools of credit assets: A large deviations analysis

Konstantinos Spiliopoulos, Richard B. Sowers

We consider the effect of recovery rates on a pool of credit assets. We allow the recovery rate to depend on the defaults in a general way. Using the theory of large deviations, we…

math.PR2010

Reaction Diffusion Equations with Nonlinear Boundary Conditions in Narrow Domains

Mark Freidlin, Konstantinos Spiliopoulos

Second initial boundary problem in narrow domains of width for linear second order differential equations with nonlinear boundary conditions is considered in this paper. U…

math.PR2010★ 14 cited

A Note on the Smoluchowski-Kramers Approximation for the Langevin Equation with Reflection

Konstantinos Spiliopoulos

According to the Smoluchowski-Kramers approximation, the solution of the equation converges to the so…

math.PR2010

Wiener Process with Reflection in Non-Smooth Narrow Tubes

Konstantinos Spiliopoulos

Wiener process with instantaneous reflection in narrow tubes of width ε<<1 around axis x is considered in this paper. The tube is assumed to be (asymptotically) non-smooth in the f…