Proposes GOU process with anisotropic drift to embed data geometry in diffusion models, claiming better mode separation, correlation preservation, and convergence than isotropic baselines.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Maximum likelihood estimation refines and augments an existing factor model with new transient factors using only observed asset returns and two hyperparameters.
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Structured drift design for denoising diffusion models
Proposes GOU process with anisotropic drift to embed data geometry in diffusion models, claiming better mode separation, correlation preservation, and convergence than isotropic baselines.
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Enhancing a Risk Model by Adding Transient Statistical Factors
Maximum likelihood estimation refines and augments an existing factor model with new transient factors using only observed asset returns and two hyperparameters.