The project contains some example use cases, including a resource assignment problem aimed at the assignment of electric vehicle recharging stations distributed in different city blocks with several ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
AI agents are now being weaponized through prompt injection, exposing why model guardrails are not enough to protect enterprise data. If you can only read one tech story a day, this is it. We use ...
Abstract: The first linear programming bound is the best known asymptotic upper bound for binary codes, for a certain subrange of distances. Starting from the work of Friedman and Tillich (2005), ...
This repository contains a Rust implementation of the FLOP causal discovery algorithm, available for use from Python and R. It is a score-based algorithm for learning equivalence classes of DAGs from ...
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