Abstract: Diffusion models have demonstrated exceptional ability in modeling complex image distributions, making them versatile plug-and-play priors for solving imaging inverse problems. However, ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Discover how the Modified Dietz Method measures investment returns, factoring in cash flow timing and excluding skewing ...

Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI that can diagnose cancer from low-resolution images—depends heavily on model ...

Abstract: Unit commitment problems are operation optimization problems solved by independent system operators (ISOs). These problems generally need to be solved within a limited time, and the quality ...

Concentration is the mental effort you put into a task. You might lose concentration due to distractions, lack of sleep, aging, or health conditions. Consider talking with a doctor or therapist if ...

Independent verification of data is a fundamental principle of scientific research across the disciplines. The self-correcting mechanisms of the scientific method depend on the ability of researchers ...

Chocolate or strawberry? Life or death? We make some choices quickly and automatically, relying on mental shortcuts our brains have developed over the years to guide us in the best course of action.

This Python library implements homotopy-based optimization methods designed to solve convex optimization problems, with a particular focus on semidefinite programs, hyperbolic programs, and convex ...