In this work, we extend diffusion solvers to efficiently handle general noisy (non)linear inverse problems via the approximation of the posterior sampling. Interestingly, the resulting posterior ...

Snowball sampling discovers channels through forwarded messages, starting with a seed channel and expanding outward. This method identifies both the origin and dissemination paths of information, ...

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.