ANR PRC OATMIL (2017--2021)

Two of our papers have made it to ICML 21 ! Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Arxiv Link Online Graph Dictionary Learning" Arxiv Link

POT (The Python Optimal Transport toolbox) is a fantastic library for coding optimal transport problems in Python. The associated technical publication has been published in the Software Track of JMLR. Please check [ the POT website].

Optimal transport (OT) is a powerful geometric and probabilistic tool for finding correspondences and measuring similarity between two distributions. Yet, its original formulation relies on the existence of a cost function between the samples of the two distributions, which makes it impractical for comparing data distributions supported on different topological spaces.