Latent generative model theory #
This entrypoint collects the proved theory facts for TorchLean's latent generative model specs:
- VAE reparameterization and β-VAE objective decomposition;
- VQ-VAE codebook lookup and loss decomposition;
- LSGAN generator/discriminator composition and target-score facts.
The executable model equations and the heavier probabilistic/game assumptions stay separate. These files prove the stable rewrite and optimization facts that examples, verifiers, and theory modules can use without unfolding the model specs by hand.