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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).
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network
We propose an Gaussian Mixture Model (GMM) learning algorithm, based on our previous work of GMM expansion idea.
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