Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems

Katsiaryna Haitsiukevich, Onur Poyraz, Pekka Marttinen +1

This paper explores the efficacy of diffusion-based generative models as neural operators for partial differential equations (PDEs). Neural operators are neural networks that learn…