Measure-to-measure Regression with Transformers

This work formalizes nonlinear measure-to-measure regression and introduces two scalable transformer-based approaches for learning operators between probability distributions. The methods generalize to unseen measures in synthetic experiments, particle systems, and a large-scale colorectal cancer or

Matthew Vandergrift, Martha White, Yury Polyanskiy, Philippe Rigollet and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026