NeuralChaos: Optimal Adapted Approximation of Square Integrable Predictable Processes
NeuralChaos -- a neural operator architecture that produces elements of $\mathcal{H}^2_T(\mathbb{R}^{d})$ using only finitely many evaluations of the driving Brownian motion, while preserving predictability and square-integrability is introduced.