Louis Tao

Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systems

This work formalizes compatible parameter sets as \emph{viable parameter manifolds}: the inverse images of target dynamical features under a parameter-to-feature map, organized as inverse geometry, with diffusion models providing practical tools for sampling, visualizing, and interrogating that geometry.