Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds

arXiv:2609.17901v1 Announce Type: cross Abstract: Generative modeling of time-dependent data is typically formulated on a discrete temporal grid, restricting supervision to the observed timestamps in the training data. We instead frame generation as continuous