1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient
Weiguo Lu, Xuan Wu, Deng Ding +3
Diffusion models (DMs) are a type of generative model that has a huge impact on image synthesis and beyond. They achieve state-of-the-art generation results in various generative t…
cs.LG2023★ 1 cited
An Efficient 1 Iteration Learning Algorithm for Gaussian Mixture Model And Gaussian Mixture Embedding For Neural Network
Weiguo Lu, Xuan Wu, Deng Ding +1
We propose an Gaussian Mixture Model (GMM) learning algorithm, based on our previous work of GMM expansion idea. The new algorithm brings more robustness and simplicity than classi…