Energy-Tweedie links Gibbs noise denoising to Stein scores
The identity extends the Gaussian posterior-mean relation to kernel scoring rules and user-chosen noise paths.
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The identity extends the Gaussian posterior-mean relation to kernel scoring rules and user-chosen noise paths.
The framework covers score matching, ratio matching, pseudolikelihood and noise contrastive estimation, then characterizes estimator efficiency.
MEND detects and localizes silent latent hallucinations in frozen world models using a single score field.
SDE reverse flows of Langevin diffusions contract Fisher divergence when the noising potential is strongly convex.
Quantum score matching learns Gibbs states optimally at high temperature and runs on IBM hardware.
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