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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “Full-denoising”

Optimal Denoising in Score-Based Generative Models: The Role of Data Regularitycs.LG

Paper compares optimal denoising methods for generative models, finding different results based on data regularity.

problem Optimizing denoising in score-based generative models for various data types.

method Comparison of full-denoising and half-denoising approaches, analyzing performance in terms of distribution distances.

result Different denoising methods perform better under different data regularity conditions.

Score-based generative models Denoising Data regularity Half-denoising Full-denoising

2025-03-17abs ↗pdf ↗

Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidancestat.ML

New method improves training-free guidance for diffusion models, achieving state-of-the-art results.

problem Accurate, training-free guidance for conditional generation in diffusion models.

method Sequential Monte Carlo (SMC) framework with Multi-Level Monte Carlo (MLMC) variance reduction.

result Achieves state-of-the-art results on CIFAR-10 and ImageNet datasets with significant cost reduction.

Monte Carlo methods Diffusion models Conditional generation Training-free guidance CIFAR-10

2026-01-28abs ↗pdf ↗