Sequential Monte Carlo
Cross-source consensus on Sequential Monte Carlo from 1 sources and 5 claims.
1 sources · 5 claims
How it works
Benefits
Risks & contraindications
Evidence quality
Highlighted claims
- TGD is formulated as an annealed sequential Monte Carlo sampler. — Tempered Guided Diffusion
- Each TGD stage reconstructs clean candidates, reweights particles by an incremental likelihood ratio, optionally resamples, and re-noises retained particles. — Tempered Guided Diffusion
- The consistency guarantee does not apply to approximate neural reconstruction modules or accelerated pruning. — Tempered Guided Diffusion
- Ideal TGD has a consistency guarantee for bounded measurable test functions under exact reconstruction kernels and standard assumptions. — Tempered Guided Diffusion
- Likelihood tempering plus resampling empirically gave an increasingly accurate posterior approximation in the controlled experiment. — Tempered Guided Diffusion