Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data
Score-based generative models generate new samples by integrating a time-dependent drift that carries Gaussian noise onto the target distribution. In practice this drift is modeled by a neural network, trained on a loss integrated over time $t$ with a weighting schedule $w(t)$. Along the backward dynamics, and for mult...
J. Klinger, Raphaël Urfin, Giulio Biroli et al.
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