We prove that the sequence of marginals obtained from the iterations of ...
Manifold learning is a central task in modern statistics and data scienc...
Nearest neighbour graphs are widely used to capture the geometry or topo...
Trajectory inference aims at recovering the dynamics of a population fro...
We devise a theoretical framework and a numerical method to infer
trajec...
Until recently, transcriptomics was limited to bulk RNA sequencing, obsc...
We propose a new method to estimate Wasserstein distances and optimal
tr...
Clustering of data sets is a standard problem in many areas of science a...
f-divergences are a general class of divergences between probability
mea...