A new AI approach for multi-cut imitation networks for constrained hypergraphs
Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without ...
Graph sparsification is a fundamental tool in theoretical computer science that helps to reduce the size of a graph without ...
Language models (LMs), while highly effective at generating human-like text, often produce unstructured and inconsistent results. The lack of structure ...
Secure aggregation of high-dimensional vectors is a fundamental primitive in federated statistics and learning. A two-server system like PRIO enables ...
Last month, capital volitionA Boston-based 13-year-old, 30-person growth equity firm, announced it closed its fifth fund with $675 million in ...