Stochastic Differential Equation

Neural stochastic differential equations (Neural SDEs) combine stochastic differential equations with neural networks to model complex dynamical systems with inherent randomness. They extend classical neural ordinary differential equations by incorporating stochasticity, enabling richer representations of time series and continuous-time processes.