Simplex introduces an exact Dirichlet-categorical augmentation that couples corrupted categorical states with auxiliary simplex-valued variables. This method enables a tractable Rao-Blackwellized reverse-bridge objective and stochastic reverse sampling while maintaining the original uniform diffusion process.
HOW THIS AFFECTS YOU
●
researcherYou can implement more efficient stochastic reverse samplers for categorical generation tasks using this augmentation.