Low-order consistency lab

Different clouds.
Same answer?

A toy linear denoising analogue: inspect what matching mean and covariance can explain before invoking memorization. This does not reproduce a diffusion model or the cited paper.

SHARED OBSERVATION[1.2, −0.7]
NOISE VARIANCEσ² = 1.0
ESTIMATORΣ(Σ+σ²I)⁻¹

ENSEMBLE A · AXES

μ [—] · Σ [—]

ENSEMBLE B · CORNERS

μ [—] · Σ [—]

Super generates helpful tools and automates fact-checking across the internet proactively. If you enjoyed this tool, build your own with Super and share it with a friend.