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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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3 results for “score-mismatch”

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplerscs.LG

The paper addresses score-mismatched diffusion models and zero-shot conditional samplers.

problem Theoretical guarantees for score-mismatched diffusion models in zero-shot conditional sampling.

method Theoretical analysis of score-mismatched diffusion models and zero-shot conditional samplers.

result Theoretical performance guarantees with explicit dimensional dependencies for score-mismatched diffusion samplers.

diffusion models score-mismatch zero-shot sampling convergence guarantees finite second moments

2024-10-17abs ↗pdf ↗

Denoising Likelihood Score Matching for Conditional Score-based Data Generationcs.LG

A new method improves data generation quality by correcting score mismatches.

problem Score mismatch issue in conditional score-based data generation methods.

method Denoising Likelihood Score Matching (DLSM) loss for classifier training.

result The proposed method outperforms previous methods on Cifar-10 and Cifar-100 benchmarks.

data generation score-based models score matching Bayes' theorem classifier training

2022-03-27abs ↗pdf ↗

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Modelsstat.ML

A conservative drifting method improves generative modeling by using KDE gradients, proving convergence rates.

problem Improving generative modeling by addressing non-conservatism issues.

method Proposes a conservative drifting method using kernel density estimator gradients to address non-conservatism.

result Proves finite-particle convergence rates for the conservative method, providing explicit quadrature constants.

generative modeling drifting methods kernel density estimator finite-particle convergence non-conservatism

2026-05-21abs ↗pdf ↗