Submodular optimisation lies at the heart of a broad class of combinatorial decision problems in which the objective exhibits diminishing marginal returns. Formally, a submodular function assigns a ...

From electronic health records and blood tests to the stream of data from wearable devices, the amount of health information people generate is accelerating rapidly. Yet, many users struggle to ...

Abstract: In this paper, we propose a framework of maximizing quadratic submodular energy with a knapsack constraint approximately, to solve certain computer vision problems. The proposed submodular ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

As a person with a chronic illness, I'm no stranger to bloodwork. I used to pore over my lab results, googling the various meanings, and trying not to panic when a test fell out of range. Function ...

Health tech companies focused on preventive medicine and longevity are gaining interest from investors as well as consumers willing to pay out-of-pocket for personalized health services. Function ...

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This research paper was presented at the 64 th IEEE Symposium on Foundations of Computer Science (FOCS) 2023 (opens in new tab), a premier forum for the latest research in theoretical computer science ...

Abstract: We investigate the problem of maximizing the sum of submodular and supermodular functions under a fairness constraint. This sum function is non-submodular in general. For an offline model, ...

In May 2025, President Donald Trump signed an executive order to restrict research on viruses and pathogens called gain-of-function studies. The National Institutes of Health is now taking steps to ...