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Abstract: Sparse Matrix-Matrix Multiplication (SpMM) is a widely used algorithm in Machine Learning, particularly in the increasingly popular Graph Neural Networks (GNNs). SpMM is an essential ...

Nearly a year after the University announced it was phasing out all 23 of the creative writing lecturers over the course of the next two years, the first set of lecturers have said their goodbyes to ...

INDIANAPOLIS — Wrestling and writing might seem like an unlikely pair, but one local youth organization is proving otherwise. LEAD (Literacy, Entrepreneurship, and Dreams) the Wright Way, a ...

Burmese pythons are an invasive species in South Florida, negatively impacting native wildlife and ecosystems. State and federal programs pay contracted hunters to find and remove the invasive snakes ...

Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...

Abstract: By contrast with the two-step localization method, which requires estimation of intermediate positions, the direct position determination (DPD) method locates the source directly from the ...

Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.