Self-supervised Metric Learning in Multi-View Data: A Downstream Task Perspec…
Self-supervised metric learning has been a successful approach for learning a distance from an unlabeled dataset. The resulting distance is broadly useful for improving various distance-based downs…
Optimal Estimation of Wasserstein Distance on a Tree With an Application to M…
The weighted UniFrac distance, a plug-in estimator of the Wasserstein distance of read counts on a tree, has been widely used to measure the microbial community difference in microbiome studies. Ou…
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