Supervised deep learning approaches to underdetermined audio source
sepa...
The Sliced-Wasserstein distance (SW) is being increasingly used in machi...
Approximate Bayesian Computation (ABC) is a popular method for approxima...
Minimum expected distance estimation (MEDE) algorithms have been widely ...
The Wasserstein distance and its variations, e.g., the sliced-Wasserstei...
Recently, Stochastic Gradient Markov Chain Monte Carlo (SG-MCMC) methods...