The paper presents a novel approach to generative models, extending the continuous time framework from Brownian motion to fractional Brownian motion (FBM). The authors propose Generative Fractional Diffusion Models (GFDM),…
Continue readingThe authors propose a new variational framework for performing inference in stochastic differential equations (SDEs) driven by fractional Brownian motion (fBM). SDEs are versatile tools for modeling real-world dynamic systems…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
