Conference Paper

We introduce SplineFlow, a B-spline based flow matching algorithm for modeling complex dynamical systems.

We introduce latent clustering-based data reduction methods to choose a core subset from the entire unlabeled dataset, aiming to improve the efficiency of semi-supervised adversarial training while preserving robustness.