Marinka Zitnik

Fusing bits and DNA

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Scalable Matrix Tri-Factorization

In our new paper on accelerating matrix tri-factorization we show how to learn factorized representations that scale well on multi-processor and multi-GPU architectures.

The new approach speeds up computations by more than two orders of magnitude without any loss in accuracy and is especially suitable for large-scale biomedical data analytics.