Walking the Score Manifold: Continuous-time Generative Dynamics on Learned Data Manifolds
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-time evolution on a learned data manifold. To this end, we leverage pretrained score-based models as geometri...
Jan Tauberschmidt, Brian B. Moser, Stanislav Frolov et al.
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