Abstract: Matrix factorization (MF) is widely adopted to learn from data, e.g., for data representation and recommendation as well as many database applications such as data imputation and repairing.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
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