arxivcs.LG2026-07-21
Neural Kolmogorov Equations: Parallelizable Learning of Stochastic Dynamics under General Noise
Neural stochastic differential equations (SDEs) have emerged as powerful tools for learning noisy or stochastic dynamics directly from data; however, existing approaches largely assume uncoupled and continuous noise, limiting their applicability to realistic stochastic drivers, a…