4 citations · 7 across the 4 of their papers we have counts for
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stat.ML2021
A unified framework for non-negative matrix and tensor factorisations with a smoothed Wasserstein loss
Stephen Y. Zhang
Non-negative matrix and tensor factorisations are a classical tool for finding low-dimensional representations of high-dimensional datasets. In applications such as imaging, datase…
stat.ML2021
Towards a mathematical theory of trajectory inference
Hugo Lavenant, Stephen Zhang, Young-Heon Kim +1
We devise a theoretical framework and a numerical method to infer trajectories of a stochastic process from samples of its temporal marginals. This problem arises in the analysis o…