2025
Neural Stochastic Flows: Solver-Free Modelling and Inference for SDE Solutions
NeurIPS 2025poster
Stochastic differential equations (SDEs) are well suited to modelling noisy and/or irregularly-sampled time series, which are omnipresent in finance, physics, and machine learning applications. Traditional approaches require costly simulation of numerical solvers when sampling between arbitrary time…