research
∙
04/19/2022
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis
In the realm of unsupervised learning, Bayesian nonparametric mixture mo...
share
research
∙
03/25/2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models – and a Deep-learning Solution
The Dirichlet Process Gaussian Mixture Model (DPGMM) is often used to cl...
research
∙
02/27/2022
