2025
Stochastic Process Learning via Operator Flow Matching
NeurIPS 2025spotlight
Expanding on neural operators, we propose a novel framework for stochastic process learning across arbitrary domains. In particular, we develop operator flow matching (OFM) for learning stochastic process priors on function spaces. OFM provides the probability density of the values of any collection…