SEP 10, 2026 · PREPRINT
Deep operator learning for efficient sampling from invariant measures of stochastic differential equations
arXiv
This is a methodological preprint proposing a novel computational framework without empirical validation against established baselines or clinical/scientific outcomes; it demonstrates feasibility on synthetic problems but lacks peer review and real-world application evidence.
Study details
InterventionAmortized neural sampler combining operator…
ComparatorMCMC