Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Abstract: We consider multi-variate signals spanned by the integer shifts of a set of generating functions with distinct frequency profiles and the problem of reconstructing them from samples taken on ...

The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper and several uncited ones may have a more impactful trajectory than one with ...

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...

You can see it spreading every day, distributing itself more widely to more kinds of people. In Minnesota, local law ...

Many healthcare providers feel that UPIC audits often fall short, with flawed sampling and extrapolation techniques that dramatically exaggerate overpayment findings, exposing providers to undue ...

The head of Missouri’s cannabis testing unit said the new unannounced visits to collect product samples shouldn’t impact business, in a podcast by the Missouri Cannabis Regulation Division. “This is ...

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

SSRS conducted the National Public Opinion Reference Survey (NPORS) for Pew Research Center using address-based sampling and a multimode protocol. The survey was fielded from Feb. 1, 2024, to June 10, ...

Abstract: In this paper, we analyze the effects of random sampling on adaptive diffusion networks. These networks consist in a collection of nodes that can measure and process data, and that can ...