From Distributions to Stochastic Processes: Neural Approximation of Measure-Valued Maps.

arXiv:2609.33649v1 Announce Type: cross Abstract: Learning mappings between probability distributions arises naturally when inputs and outputs are represented by populations of samples rather than individual observations. We develop an approximation-theoretic