As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...
aDivision of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Lund, Sweden bDivision of Oncology, Department of Clinical Sciences Lund, Lund University, ...
Abstract: Sparse LU factorization is considered to be one of the most time-consuming components in circuit simulation, particularly when dealing with circuits of considerable size in the advanced ...
Li Lu, CC ’96, Business ’96, Law ’96, contributed $15 million in a lead gift to support the renovation of the Law Library, matching the largest single donation from an individual in the Law School’s ...
OpenAI has been at the center of massive artificial-intelligence infrastructure deals in recent weeks, and with Big Tech companies slated to report third-quarter earnings later this month, some ...
Abstract: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ...
SubtreeLU is a high-performance parallel sparse LU factorization algorithm for SPICE-like circuit simulation. It is designed to be used in circuit simulation software, particularly for solving large ...
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