Latent Annealed Posterior Sampling with a Variance-Preserving Bridge for Sparsely Observed Random Fields
arXiv:2610.20659v1 Announce Type: new Abstract: Posterior inference for random fields from sparse observations presents two major challenges: accurately characterizing complex spatial uncertainty and preventing conditional sampling costs from growing substantially as the spatial grid is refined. To…
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- 2026-10-16 04:00 · arXiv stat.ML
Latent Annealed Posterior Sampling with a Variance-Preserving Bridge for Sparsely Observed Random Fields