References

• 2003Monte Carlo Methods in Financial Engineering3,917 cited
• 2003Stochastic Differential Equations3,081 cited
• 1998Stochastic Flows and Stochastic Differential Equations1,269 cited
• 1986Stochastic Calculus and Applications.686 cited
• 1999Applications of Malliavin calculus to Monte Carlo methods in finance549 cited
• 2002Introduction to the Theory of Random Processes464 cited
• 2019A neural network-based framework for financial model calibration106 cited
• 2015Risk Estimation via Regression94 cited
• 1994Variance Reduction for Simulated Diffusions94 cited
• 2017Deep Primal-Dual Algorithm for BSDEs: Applications of Machine Learning to CVA and IM74 cited
• 2016Model Calibration with Neural Networks70 cited
• 2019Calibrating Rough Volatility Models: A Convolutional Neural Network Approach41 cited
• 2018An Artificial Neural Network Representation of the SABR Stochastic Volatility Model40 cited
• 2005The Steepest Descent Method for Forward-Backward SDEs39 cited
• 2025On Deep Calibration of (rough) Stochastic Volatility Models34 cited
• 2013Reducing variance in the numerical solution of BSDEs