A statistical theory for blind denoising: minimax estimation of the noise level from a single sample

arXiv:2609.33008 · math.ST, stat.ML, stat.TH · Submitted 2026-09-26 · Read on arXiv

math.ST, stat.ML, stat.TH

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

Diffusion Model — 15× in this paper · explained in 8 episodes
Diffusion Models — 15× in this paper · explained in 6 episodes
Ambient Dimension — 6× in this paper · explained in 1 episode
Generative Modeling — 5× in this paper · explained in 3 episodes
Intrinsic Dimension — 5× in this paper · explained in 2 episodes
Generative Model — 4× in this paper · explained in 2 episodes
Generative Models — 4× in this paper · explained in 3 episodes
Flow Matching — 3× in this paper · explained in 8 episodes
Inverse Problem — 2× in this paper · explained in 2 episodes
2-Wasserstein Distance — 1× in this paper · explained in 1 episode
Adaptation — 1× in this paper · explained in 1 episode
Convergence Guarantees — 1× in this paper · explained in 3 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Hilbert Space — 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
Point Clouds — 1× in this paper · explained in 2 episodes
Rectified Flow — 1× in this paper · explained in 3 episodes
Selection Bias — 1× in this paper · explained in 4 episodes
Wasserstein Distance — 1× in this paper · explained in 4 episodes

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