research
∙
01/24/2022
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models
Supervised deep learning approaches to underdetermined audio source sepa...
share
research
∙
06/29/2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections
The Sliced-Wasserstein distance (SW) is being increasingly used in machi...
research
∙
10/28/2019
Approximate Bayesian Computation with the Sliced-Wasserstein Distance
Approximate Bayesian Computation (ABC) is a popular method for approxima...
research
∙
06/11/2019
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Minimum expected distance estimation (MEDE) algorithms have been widely ...
research
∙
02/01/2019
Generalized Sliced Wasserstein Distances
The Wasserstein distance and its variations, e.g., the sliced-Wasserstei...
research
∙
02/10/2016
