Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Abstract: In this paper, we investigate the uplink sum rate maximization problem in an intelligent reflecting surface (IRS)-assisted multiple-input multiple-output (MIMO) non-orthogonal multiple ...

Abstract: The influence maximization problem in graphstructured social networks is to identify the most influential node set in the graph to enable widespread information dissemination. We propose a ...

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Quantum computers could rapidly solve complex problems that would take the most powerful classical supercomputers decades to ...

Demand for lithium is skyrocketing as factories across the world churn out electric vehicles and the massive batteries that make wind turbines and solar panels reliable sources of energy.

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

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

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This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...

A massive surge in billionaire wealth threatens our everyday lives and economy, from the rights of workers to the stability of the social safety net. As elites gather this week in Davos, Switzerland ...

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 ...