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Stochasma 0.3.0

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@fv-c fv-c released this 16 Sep 15:42
· 26 commits to main since this release
v0.3.0
b483384

Scalar categorical diffusion primitives and reverse sampling for the Wolfram Language.

Includes:

  • uniform categorical transition kernels;
  • arbitrary row-stochastic categorical transition sampling;
  • validated categorical transition schedules and cumulative kernels;
  • time-indexed categorical forward diffusion;
  • exact categorical reverse posteriors;
  • canonical joint-marginalized predicted-x0 reverse probabilities;
  • categorical single-step reverse sampling;
  • full scalar categorical reverse sampling;
  • automatic, locally seeded, and explicit-noise randomness;
  • reverse trajectories from caller-supplied x_T to x_0.

The 0.3 categorical reverse sampler is scalar-only. Array/tensor categorical reverse sampling and terminal-prior helpers are not part of this release.

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