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math.NA2022
Robust recovery of low-rank matrices and low-tubal-rank tensors from noisy sketches
Anna Ma, Dominik Stöger, Yizhe Zhu
A common approach for compressing large-scale data is through matrix sketching. In this work, we consider the problem of recovering low-rank matrices from two noisy linear sketches…
q-bio.QM2022
AVIDA: Alternating method for Visualizing and Integrating Data
Kathryn Dover, Zixuan Cang, Anna Ma +2
High-dimensional multimodal data arises in many scientific fields. The integration of multimodal data becomes challenging when there is no known correspondence between the samples…