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cs.LG2024
Stochastic parameter reduced-order model based on hybrid machine learning approaches
Cheng Fang, Jinqiao Duan
Establishing appropriate mathematical models for complex systems in natural phenomena not only helps deepen our understanding of nature but can also be used for state estimation an…
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…