research
∙
07/19/2023
Manifold Learning with Sparse Regularised Optimal Transport
Manifold learning is a central task in modern statistics and data scienc...
share
research
∙
11/20/2022
Quadratically Regularized Optimal Transport: nearly optimal potentials and convergence of discrete Laplace operators
We consider the conjecture proposed in Matsumoto, Zhang and Schiebinger ...
research
∙
08/01/2022
Beyond kNN: Adaptive, Sparse Neighborhood Graphs via Optimal Transport
Nearest neighbour graphs are widely used to capture the geometry or topo...
research
∙
05/14/2022
Trajectory Inference via Mean-field Langevin in Path Space
Trajectory inference aims at recovering the dynamics of a population fro...
research
∙
02/18/2021
