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Comment by kelseyfrog

4 days ago

Flow matching is iterative in the sense that it predicts a dv(t)/dt at each step as it integrates toward x_0.

It's iterative in a sense of solving differential equation iteratively. While recurrent networks are iterative in sense of putting a for loop around a bunch of if-s.

  • It's also in the sense that initial latent vector is Gaussian noise. The transformer loop is de-noising latent space. They just happen to be doing the equivalent of predicting x_0 directly.