Exact Global MCMC with Denoising Diffusion

arXiv:2609.00279 · stat.ML, cs.LG · Submitted 2026-08-31 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Terminology

• Diffusion Model — 19× in this paper · explained in 8 episodes
• Calibration — 14× in this paper · explained in 7 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Denoising Diffusion Monte Carlo — 4× in this paper
• Parallel Tempering — 3× in this paper
• Bayesian Neural Network — 2× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Score Function — 1× in this paper · explained in 4 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes

Sources

• Markov Chain Monte Carlo with Diffusion Paths
• Stochastic Path Sampler For Lattice Field Theory
• NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport

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