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Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
Diffusion models (DMs) are a type of generative model that has a huge impact on image synthesis and beyond.
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options
In this work, we present a novel machine learning approach for pricing high-dimensional American options based on the modified Gaussian process regression (GPR).
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