Deterministic AI systems use AI models (like LLMs) that are probabilistic under the hood, but the overall system is deterministic. AI is deployed inside deterministic workflows, and those AI models ...

A recent breakthrough of Bernstein, Nanongkai, and Wulff-Nilsen established the first near-linear time algorithm for negative-weight single-source shortest paths on integer-weighted graphs. We refine ...

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 ...

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Abstract: The paper carried out a methodology to design stationary energy storage system (ESS) employing a deterministic algorithm. The primary scope is to maximizing economic benefits arriving to ...

To strengthen the deterministic hash algorithm present in the RFC, sender timestamp should be a part of the deterministic message hash computation. As discussed in the vac research/doc vacp2p/rfc#632.

Abstract: We give a deterministic $m^{1+o(1)}$ time algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with m edges and ...

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