A generative model called a diffusion model is used in image generation AI such as Stable Diffusion and DALL-E 3. A research team from Harvard University, Tufts University in the United States, and ...
Sampling from complex probability distributions is important in many fields, including statistical modeling, machine learning, and physics. This involves generating representative data points from a ...
Abstract: In this paper, a novel robust diffusion algorithm called diffusion recursive least M-estimate (DRLM) is proposed to enhance the robustness of the DRLS ...
There was an error while loading. Please reload this page. This project explores spectral decomposition techniques for network analysis, integrating complex diffusion ...
Abstract: This paper proposes a dynamic diffusion algorithm based distributed secondary control method in DC microgrids (MGs). Rather than conventional consensus algorithm, distributed communication ...
In this paper, we propose an adaptive finite element algorithm for the numerical solution of a class of nonlocal models which correspond to nonlocal diffusion equations and linear scalar peridynamic ...
SIAM Journal on Numerical Analysis, Vol. 52, No. 3 (2014), pp. 1269-1291 (23 pages) This paper provides a new fully discrete domain decomposition algorithm for the advection diffusion reaction ...
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